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id: 607
unit: def ExportSingleImageDetectionBoxesToCoco()
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id: 608
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unit: def test_predict_gives_correct_shapes_in_inference_mode_first_stage_only()
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unit: def centernet_hourglass_coco()
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unit: def contrastive_loss()
file: official/vision/beta/projects/video_ssl/losses/losses.py
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unit: def __init__()
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id: 623
unit: def train_squad()
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unit: def create_data()
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file: research/efficient-hrl/context/rewards_functions.py
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unit: def optimize()
file: research/adversarial_text/layers.py
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unit: def __init__()
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unit: def add_single_ground_truth_image_info()
file: research/object_detection/metrics/lvis_evaluation.py
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file: research/object_detection/metrics/calibration_evaluation.py
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id: 631
unit: def run_deep_speech()
file: research/deep_speech/deep_speech.py
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id: 632
unit: def paste_instance_masks_v2()
file: official/vision/beta/ops/mask_ops.py
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unit: def __init__()
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unit: def _build_label()
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unit: def transform_data()
file: official/recommendation/ranking/preprocessing/criteo_preprocess.py
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id: 636
unit: def mobilenet_edgetpu_v2_base()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
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id: 637
unit: def encode_boxes_lrtb()
file: official/legacy/detection/utils/box_utils.py
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unit: def build()
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unit: def test()
file: research/cognitive_planning/train_supervised_active_vision.py
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unit: def init_linear()
file: research/lfads/utils.py
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unit: def build()
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unit: def build_graph()
file: research/object_detection/tpu_exporters/ssd.py
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id: 643
unit: def add_single_ground_truth_image_info()
file: research/object_detection/metrics/coco_evaluation.py
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id: 645
unit: def random_jitter_boxes()
file: research/object_detection/core/preprocessor.py
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id: 646
unit: def add_single_detected_image_info()
file: research/object_detection/utils/object_detection_evaluation.py
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id: 647
unit: def top_k_feature_map_locations()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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file: research/object_detection/meta_architectures/center_net_meta_arch.py
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id: 649
unit: def test_loss_first_stage_only_mode()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
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file: research/slim/datasets/imagenet.py
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unit: def s3dg()
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unit: def __init__()
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unit: def _block_group()
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file: official/vision/beta/dataloaders/video_input.py
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unit: def update_state()
file: official/vision/beta/evaluation/segmentation_metrics.py
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id: 657
unit: def transform_and_clip_boxes()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
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unit: def __init__()
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unit: def define_common_squad_flags()
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unit: def get_transformer_encoder()
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unit: def build_learning_rate()
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unit: def __init__()
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unit: def __init__()
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file: research/vid2depth/train.py
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unit: def Extract()
file: research/delf/delf/python/feature_aggregation_extractor.py
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file: research/delf/delf/python/training/model/resnet50.py
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file: research/lstm_object_detection/model_builder.py
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id: 674
unit: def summarize_all()
file: research/lfads/lfads.py
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unit: def random_self_concat_image()
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file: research/object_detection/core/target_assigner.py
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unit: def __init__()
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unit: def prepare_eval_dict()
file: research/object_detection/model_lib_v2.py
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file: research/object_detection/meta_architectures/center_net_meta_arch.py
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file: research/object_detection/dataset_tools/context_rcnn/add_context_to_examples.py
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unit: def preprocess_for_train()
file: research/slim/preprocessing/inception_preprocessing.py
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id: 683
unit: def build()
file: official/vision/beta/modeling/heads/segmentation_heads.py
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id: 684
unit: def resize_image()
file: official/vision/beta/ops/preprocess_ops.py
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id: 685
unit: def cutout_video()
file: official/vision/beta/ops/augment.py
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unit: def _erase()
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file: official/vision/beta/evaluation/segmentation_metrics.py
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file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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id: 689
unit: def mosaic_cut()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
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id: 690
unit: def _static_subsample()
file: official/vision/utils/object_detection/balanced_positive_negative_sampler.py
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id: 691
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unit: def _find_augmenting_path()
file: official/projects/detr/ops/matchers.py
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unit: def build_bert_pretrainer()
file: official/projects/edgetpu/nlp/modeling/model_builder.py
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unit: def _parse_train_data()
file: official/legacy/detection/dataloader/retinanet_parser.py
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unit: def _parse_predict_data()
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id: 696
unit: def resize_and_crop_image_v2()
file: official/legacy/detection/utils/input_utils.py
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id: 697
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file: official/legacy/bert/run_squad_helper.py
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unit: def _create_a_and_b_segments()
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file: official/nlp/finetuning/binary_helper.py
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file: research/lfads/lfads.py
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file: research/attention_ocr/python/common_flags.py
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id: 708
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file: research/deep_speech/data/dataset.py
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file: research/deeplab/deprecated/segmentation_dataset.py
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end line: 0
size: 51 LOC
McCabe index: 4
number of parameters: 3

id: 711
unit: def _static_subsample()
file: official/vision/beta/ops/sampling_ops.py
start line: 0
end line: 0
size: 50 LOC
McCabe index: 12
number of parameters: 4

id: 712
unit: def crop_image()
file: official/vision/beta/ops/preprocess_ops_3d.py
start line: 0
end line: 0
size: 50 LOC
McCabe index: 12
number of parameters: 6

id: 713
unit: def build_metrics()
file: official/vision/beta/projects/panoptic_maskrcnn/tasks/panoptic_maskrcnn.py
start line: 0
end line: 0
size: 50 LOC
McCabe index: 7
number of parameters: 2

id: 714
unit: def tf_vision_example_experiment()
file: official/vision/beta/projects/example/example_config.py
start line: 0
end line: 0
size: 50 LOC
McCabe index: 1
number of parameters: 0

id: 715
unit: def call()
file: official/projects/roformer/roformer_encoder_block.py
start line: 0
end line: 0
size: 50 LOC
McCabe index: 16
number of parameters: 2

id: 716
unit: def main()
file: official/projects/edgetpu/nlp/serving/export_tflite_squad.py
start line: 0
end line: 0
size: 50 LOC
McCabe index: 13
number of parameters: 1

id: 717
unit: def __init__()
file: official/legacy/detection/dataloader/maskrcnn_parser.py
start line: 0
end line: 0
size: 50 LOC
McCabe index: 5
number of parameters: 20

id: 718
unit: def __init__()
file: official/legacy/detection/modeling/architecture/fpn.py
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end line: 0
size: 50 LOC
McCabe index: 6
number of parameters: 8

id: 719
unit: def build_input_layers()
file: official/legacy/detection/modeling/shapemask_model.py
start line: 0
end line: 0
size: 50 LOC
McCabe index: 4
number of parameters: 3

id: 720
unit: def run_bert()
file: official/legacy/bert/run_classifier.py
start line: 0
end line: 0
size: 50 LOC
McCabe index: 8
number of parameters: 8

id: 721
unit: def call()
file: official/nlp/modeling/layers/transformer_encoder_block.py
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end line: 0
size: 50 LOC
McCabe index: 16
number of parameters: 2

id: 722
unit: def append_postprocessing_op()
file: research/lstm_object_detection/export_tflite_lstd_graph_lib.py
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end line: 0
size: 50 LOC
McCabe index: 1
number of parameters: 9

id: 723
unit: void NonMaxSuppressionMultiClassFast()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
start line: 212
end line: 263
size: 50 LOC
McCabe index: 5
number of parameters: 8

id: 724
unit: def create_base()
file: research/attention_ocr/python/model.py
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size: 50 LOC
McCabe index: 4
number of parameters: 5

id: 725
unit: def __init__()
file: research/object_detection/predictors/heads/keras_box_head.py
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size: 50 LOC
McCabe index: 5
number of parameters: 10

id: 726
unit: def convert_label_map_to_categories()
file: research/object_detection/utils/label_map_util.py
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end line: 0
size: 50 LOC
McCabe index: 16
number of parameters: 3

id: 727
unit: def build()
file: research/object_detection/models/ssd_resnet_v1_fpn_keras_feature_extractor.py
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size: 50 LOC
McCabe index: 6
number of parameters: 2

id: 728
unit: def _get_logits()
file: research/deeplab/model.py
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size: 50 LOC
McCabe index: 5
number of parameters: 7

id: 729
unit: def compare_and_accumulate()
file: research/deeplab/evaluation/parsing_covering.py
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end line: 0
size: 50 LOC
McCabe index: 15
number of parameters: 5

id: 730
unit: def main()
file: research/audioset/vggish/vggish_inference_demo.py
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size: 50 LOC
McCabe index: 10
number of parameters: 1

id: 731
unit: def __init__()
file: official/vision/beta/modeling/heads/segmentation_heads.py
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end line: 0
size: 49 LOC
McCabe index: 2
number of parameters: 22

id: 732
unit: def resize_and_crop_image_v2()
file: official/vision/beta/ops/preprocess_ops.py
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end line: 0
size: 49 LOC
McCabe index: 6
number of parameters: 8

id: 733
unit: def build()
file: official/vision/beta/projects/centernet/modeling/layers/cn_nn_blocks.py
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end line: 0
size: 49 LOC
McCabe index: 2
number of parameters: 2

id: 734
unit: def __init__()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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end line: 0
size: 49 LOC
McCabe index: 1
number of parameters: 6

id: 735
unit: def _csp_stack()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 5
number of parameters: 4

id: 736
unit: def build_losses()
file: official/vision/beta/projects/simclr/tasks/simclr.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 4
number of parameters: 4

id: 737
unit: def get_distribution_strategy()
file: official/common/distribute_utils.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 15
number of parameters: 6

id: 738
unit: def image_classification_imagenet_vit_finetune()
file: official/projects/vit/configs/image_classification.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 1
number of parameters: 0

id: 739
unit: def _process_segment_and_label()
file: official/projects/yt8m/dataloaders/yt8m_input.py
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end line: 0
size: 49 LOC
McCabe index: 5
number of parameters: 6

id: 740
unit: def _get_single_story_features()
file: official/projects/nhnet/raw_data_processor.py
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end line: 0
size: 49 LOC
McCabe index: 8
number of parameters: 3

id: 741
unit: def __init__()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 6
number of parameters: 7

id: 742
unit: def label_anchors_lrtb()
file: official/legacy/detection/dataloader/anchor.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 2
number of parameters: 3

id: 743
unit: def __init__()
file: official/legacy/detection/modeling/olnmask_model.py
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size: 49 LOC
McCabe index: 11
number of parameters: 2

id: 744
unit: def get_config()
file: official/nlp/modeling/layers/reuse_transformer.py
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end line: 0
size: 49 LOC
McCabe index: 1
number of parameters: 1

id: 745
unit: def __init__()
file: official/nlp/modeling/models/t5.py
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end line: 0
size: 49 LOC
McCabe index: 1
number of parameters: 6

id: 746
unit: def get_final_text()
file: official/nlp/data/squad_lib.py
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end line: 0
size: 49 LOC
McCabe index: 21
number of parameters: 4

id: 747
unit: def preprocess_and_tokenize_input_files()
file: official/nlp/data/create_xlnet_pretraining_data.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 10
number of parameters: 5

id: 748
unit: def create_maze_env()
file: research/efficient-hrl/environments/create_maze_env.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 9
number of parameters: 2

id: 749
unit: def quantizable_concat()
file: research/lstm_object_detection/lstm/utils.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 7
number of parameters: 8

id: 750
unit: def read_cached_data()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 6
number of parameters: 5

id: 751
unit: def draw_side_by_side_evaluation_image()
file: research/cognitive_planning/visualization_utils.py
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end line: 0
size: 49 LOC
McCabe index: 4
number of parameters: 5

id: 752
unit: def _batch_norm()
file: research/cognitive_planning/embedders.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 2
number of parameters: 3

id: 753
unit: def visualize()
file: research/cognitive_planning/viz_active_vision_dataset_main.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 10
number of parameters: 3

id: 754
unit: def build_mask_rcnn_box_predictor()
file: research/object_detection/builders/box_predictor_builder.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 3
number of parameters: 16

id: 755
unit: def crop_and_threshold_masks()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 10
number of parameters: 7

id: 756
unit: def _predict_second_stage()
file: research/object_detection/meta_architectures/rfcn_meta_arch.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 3
number of parameters: 7

id: 757
unit: def extract_features()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 6
number of parameters: 2

id: 758
unit: def _create_tf_example()
file: research/slim/datasets/download_and_convert_visualwakewords_lib.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 2
number of parameters: 3

id: 759
unit: def alexnet_v2()
file: research/slim/nets/alexnet.py
start line: 0
end line: 0
size: 49 LOC
McCabe index: 6
number of parameters: 7

id: 760
unit: def _retrieve_per_category_metrics()
file: official/vision/beta/evaluation/coco_evaluator.py
start line: 0
end line: 0
size: 48 LOC
McCabe index: 6
number of parameters: 3

id: 761
unit: def update_state()
file: official/vision/beta/evaluation/wod_detection_evaluator.py
start line: 0
end line: 0
size: 48 LOC
McCabe index: 5
number of parameters: 3

id: 762
unit: def train_step()
file: official/vision/beta/projects/panoptic_maskrcnn/tasks/panoptic_maskrcnn.py
start line: 0
end line: 0
size: 48 LOC
McCabe index: 8
number of parameters: 6

id: 763
unit: def validation_step()
file: official/vision/beta/projects/panoptic_maskrcnn/tasks/panoptic_maskrcnn.py
start line: 0
end line: 0
size: 48 LOC
McCabe index: 3
number of parameters: 5

id: 764
unit: def __call__()
file: official/vision/beta/projects/centernet/modeling/layers/detection_generator.py
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end line: 0
size: 48 LOC
McCabe index: 5
number of parameters: 2

id: 765
unit: def __init__()
file: official/projects/movinet/modeling/movinet_layers.py
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end line: 0
size: 48 LOC
McCabe index: 3
number of parameters: 6

id: 766
unit: def __init__()
file: official/projects/movinet/modeling/movinet_layers.py
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end line: 0
size: 48 LOC
McCabe index: 2
number of parameters: 10

id: 767
unit: def call()
file: official/projects/detr/modeling/transformer.py
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end line: 0
size: 48 LOC
McCabe index: 7
number of parameters: 4

id: 768
unit: def get_callbacks()
file: official/legacy/image_classification/callbacks.py
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size: 48 LOC
McCabe index: 8
number of parameters: 11

id: 769
unit: def __init__()
file: official/nlp/modeling/layers/transformer.py
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end line: 0
size: 48 LOC
McCabe index: 3
number of parameters: 20

id: 770
unit: def __init__()
file: official/nlp/modeling/layers/transformer_encoder_block.py
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end line: 0
size: 48 LOC
McCabe index: 2
number of parameters: 21

id: 771
unit: def __init__()
file: official/nlp/modeling/networks/span_labeling.py
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end line: 0
size: 48 LOC
McCabe index: 2
number of parameters: 8

id: 772
unit: def __init__()
file: official/nlp/modeling/models/bert_token_classifier.py
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end line: 0
size: 48 LOC
McCabe index: 6
number of parameters: 8

id: 773
unit: void TypedEval()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 395
end line: 443
size: 48 LOC
McCabe index: 14
number of parameters: 3

id: 774
unit: std::string ProjectionUnicodeHandler::LowerCaseUTF8WithSupportedUnicodes()
file: research/seq_flow_lite/tf_ops/projection_util.cc
start line: 246
end line: 300
size: 48 LOC
McCabe index: 14
number of parameters: 3

id: 775
unit: def ExtractGlobalFeatures()
file: research/delf/delf/python/training/model/export_model_utils.py
start line: 0
end line: 0
size: 48 LOC
McCabe index: 8
number of parameters: 7

id: 776
unit: def get_dynamic_rebar_gradient()
file: research/rebar/rebar.py
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end line: 0
size: 48 LOC
McCabe index: 5
number of parameters: 1

id: 777
unit: def pre_bottleneck()
file: research/lstm_object_detection/lstm/lstm_cells.py
start line: 0
end line: 0
size: 48 LOC
McCabe index: 9
number of parameters: 4

id: 778
unit: def draw_bounding_boxes_on_image_tensors()
file: research/cognitive_planning/visualization_utils.py
start line: 0
end line: 0
size: 48 LOC
McCabe index: 7
number of parameters: 10

id: 779
unit: def _compute_base_tower()
file: research/object_detection/predictors/convolutional_keras_box_predictor.py
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end line: 0
size: 48 LOC
McCabe index: 15
number of parameters: 3

id: 780
unit: def decode()
file: research/object_detection/data_decoders/tf_sequence_example_decoder.py
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end line: 0
size: 48 LOC
McCabe index: 2
number of parameters: 2

id: 781
unit: def add_output_tensor_nodes()
file: research/object_detection/exporter.py
start line: 0
end line: 0
size: 48 LOC
McCabe index: 8
number of parameters: 2

id: 782
unit: def add_single_detected_image_info()
file: research/object_detection/metrics/coco_evaluation.py
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end line: 0
size: 48 LOC
McCabe index: 9
number of parameters: 3

id: 783
unit: def assign()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 48 LOC
McCabe index: 4
number of parameters: 7

id: 784
unit: def __init__()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 48 LOC
McCabe index: 10
number of parameters: 17

id: 785
unit: def _create_model()
file: research/object_detection/meta_architectures/ssd_meta_arch_test_lib.py
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end line: 0
size: 48 LOC
McCabe index: 4
number of parameters: 7

id: 786
unit: def get_preprocessing()
file: research/slim/preprocessing/preprocessing_factory.py
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end line: 0
size: 48 LOC
McCabe index: 2
number of parameters: 3

id: 787
unit: def overfeat()
file: research/slim/nets/overfeat.py
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end line: 0
size: 48 LOC
McCabe index: 6
number of parameters: 7

id: 788
unit: def deploy()
file: research/slim/deployment/model_deploy.py
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end line: 0
size: 48 LOC
McCabe index: 15
number of parameters: 6

id: 789
unit: def _parse_function()
file: research/deeplab/datasets/data_generator.py
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end line: 0
size: 48 LOC
McCabe index: 11
number of parameters: 2

id: 790
unit: def mobilenet_v2_arg_scope()
file: research/deeplab/core/feature_extractor.py
start line: 0
end line: 0
size: 48 LOC
McCabe index: 8
number of parameters: 7

id: 791
unit: def resnet_v1_beta()
file: research/deeplab/core/resnet_v1_beta.py
start line: 0
end line: 0
size: 48 LOC
McCabe index: 8
number of parameters: 10

id: 792
unit: def _resource_apply_dense()
file: official/modeling/optimization/lars_optimizer.py
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end line: 0
size: 47 LOC
McCabe index: 11
number of parameters: 4

id: 793
unit: def __init__()
file: official/modeling/multitask/evaluator.py
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end line: 0
size: 47 LOC
McCabe index: 7
number of parameters: 8

id: 794
unit: def _generate_detections_v1()
file: official/vision/beta/modeling/layers/detection_generator.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 10
number of parameters: 9

id: 795
unit: def crop_mask_in_target_box()
file: official/vision/beta/ops/spatial_transform_ops.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 5
number of parameters: 6

id: 796
unit: def add_trainer()
file: official/vision/beta/configs/video_classification.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 3
number of parameters: 6

id: 797
unit: def video_classification_ucf101()
file: official/vision/beta/configs/video_classification.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 1
number of parameters: 0

id: 798
unit: def _parse_eval_data()
file: official/vision/beta/projects/panoptic_maskrcnn/dataloaders/panoptic_maskrcnn_input.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 3
number of parameters: 2

id: 799
unit: def make_input_fn()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 5
number of parameters: 1

id: 800
unit: def main()
file: official/projects/movinet/tools/convert_3d_2plus1d.py
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end line: 0
size: 47 LOC
McCabe index: 7
number of parameters: 1

id: 801
unit: def build_model()
file: official/projects/mobilebert/distillation.py
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size: 47 LOC
McCabe index: 7
number of parameters: 2

id: 802
unit: def __init__()
file: official/projects/detr/modeling/transformer.py
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end line: 0
size: 47 LOC
McCabe index: 2
number of parameters: 21

id: 803
unit: def autoseg_edgetpu_backbone_xs()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 1
number of parameters: 0

id: 804
unit: def generate_sentence_retrevial_tf_record()
file: official/nlp/data/sentence_retrieval_lib.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 8
number of parameters: 6

id: 805
unit: def run_evaluation()
file: official/nlp/xlnet/run_classifier.py
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end line: 0
size: 47 LOC
McCabe index: 4
number of parameters: 6

id: 806
unit: def main()
file: official/nlp/tools/export_tfhub.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 7
number of parameters: 1

id: 807
unit: def __init__()
file: research/vid2depth/model.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 2
number of parameters: 14

id: 808
unit: def __call__()
file: research/efficient-hrl/context/samplers.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 7
number of parameters: 3

id: 809
unit: def construct_maze()
file: research/efficient-hrl/environments/maze_env_utils.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 6
number of parameters: 1

id: 810
unit: def critic_net()
file: research/efficient-hrl/agents/ddpg_networks.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 9
number of parameters: 5

id: 811
unit: def _recognition_network()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 10
number of parameters: 3

id: 812
unit: def quantizable_separable_conv2d()
file: research/lstm_object_detection/lstm/utils.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 2
number of parameters: 11

id: 813
unit: def __call__()
file: research/lstm_object_detection/lstm/lstm_cells.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 12
number of parameters: 4

id: 814
unit: def _random_crop()
file: research/cognitive_planning/preprocessing/vgg_preprocessing.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 6
number of parameters: 3

id: 815
unit: def _sample_episodes()
file: research/pcl_rl/controller.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 15
number of parameters: 3

id: 816
unit: def _predict()
file: research/object_detection/predictors/convolutional_box_predictor.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 11
number of parameters: 3

id: 817
unit: def ExportKeypointsToCOCO()
file: research/object_detection/metrics/coco_tools.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 15
number of parameters: 6

id: 818
unit: def ExportSingleImageGroundtruthToLVIS()
file: research/object_detection/metrics/lvis_tools.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 10
number of parameters: 7

id: 819
unit: def build_weight_shared_convolutional_box_predictor()
file: research/object_detection/builders/box_predictor_builder.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 2
number of parameters: 17

id: 820
unit: def main()
file: research/object_detection/legacy/eval.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 6
number of parameters: 1

id: 821
unit: def __init__()
file: research/object_detection/models/center_net_mobilenet_v2_fpn_feature_extractor.py
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end line: 0
size: 47 LOC
McCabe index: 6
number of parameters: 5

id: 822
unit: def get_split()
file: research/slim/datasets/visualwakewords.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 5
number of parameters: 4

id: 823
unit: def _random_crop()
file: research/slim/preprocessing/vgg_preprocessing.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 6
number of parameters: 3

id: 824
unit: def predict_labels_multi_scale()
file: research/deeplab/model.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 9
number of parameters: 3

id: 825
unit: def separable_conv2d_same()
file: research/deeplab/core/xception.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 5
number of parameters: 10

id: 826
unit: def streaming_parsing_covering()
file: research/deeplab/evaluation/streaming_metrics.py
start line: 0
end line: 0
size: 47 LOC
McCabe index: 2
number of parameters: 10

id: 827
unit: def _block_group()
file: official/vision/beta/modeling/backbones/resnet_deeplab.py
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id: 828
unit: def _block_group()
file: official/vision/beta/modeling/backbones/spinenet.py
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size: 46 LOC
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number of parameters: 8

id: 829
unit: def decode()
file: official/vision/beta/dataloaders/tf_example_decoder.py
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end line: 0
size: 46 LOC
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number of parameters: 2

id: 830
unit: def paste_instance_masks()
file: official/vision/beta/ops/mask_ops.py
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end line: 0
size: 46 LOC
McCabe index: 2
number of parameters: 4

id: 831
unit: def build()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/instance_heads.py
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size: 46 LOC
McCabe index: 3
number of parameters: 2

id: 832
unit: def __init__()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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size: 46 LOC
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number of parameters: 9

id: 833
unit: def serve()
file: official/vision/beta/serving/detection.py
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size: 46 LOC
McCabe index: 10
number of parameters: 2

id: 834
unit: def assign()
file: official/vision/utils/object_detection/target_assigner.py
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size: 46 LOC
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number of parameters: 6

id: 835
unit: def build_model()
file: official/recommendation/ranking/task.py
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id: 836
unit: def _split_generators()
file: official/projects/triviaqa/dataset.py
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id: 837
unit: def call()
file: official/projects/nhnet/decoder.py
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size: 46 LOC
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number of parameters: 4

id: 838
unit: def conv2d_block_as_layers()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
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end line: 0
size: 46 LOC
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id: 839
unit: def __init__()
file: official/legacy/detection/dataloader/retinanet_parser.py
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number of parameters: 18

id: 840
unit: def evaluate()
file: official/legacy/detection/evaluation/coco_evaluator.py
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id: 841
unit: def predict()
file: official/legacy/transformer/transformer.py
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number of parameters: 4

id: 842
unit: def conv2d_block()
file: official/legacy/image_classification/efficientnet/efficientnet_model.py
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size: 46 LOC
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number of parameters: 5

id: 843
unit: def __init__()
file: research/seq_flow_lite/layers/qrnn_layers.py
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id: 844
unit: def __init__()
file: research/seq_flow_lite/models/prado.py
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id: 845
unit: def generate_training_data()
file: research/adversarial_text/gen_data.py
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id: 846
unit: def __init__()
file: research/delf/delf/python/training/model/global_model.py
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size: 46 LOC
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number of parameters: 6

id: 847
unit: def restore_map()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
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id: 848
unit: def __init__()
file: research/pcl_rl/controller.py
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id: 849
unit: def build()
file: research/object_detection/builders/dataset_builder.py
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number of parameters: 5

id: 850
unit: def prediction_to_keypoints_argmax()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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number of parameters: 6

id: 851
unit: def __init__()
file: research/object_detection/models/keras_models/hourglass_network.py
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number of parameters: 9

id: 852
unit: def extract_features()
file: research/object_detection/models/embedded_ssd_mobilenet_v1_feature_extractor.py
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size: 46 LOC
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number of parameters: 2

id: 853
unit: def random_crop()
file: research/deeplab/core/preprocess_utils.py
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size: 46 LOC
McCabe index: 6
number of parameters: 3

id: 854
unit: def call()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/panoptic_segmentation_generator.py
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size: 45 LOC
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number of parameters: 3

id: 855
unit: def get_cfg_list()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_data.py
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size: 45 LOC
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number of parameters: 2

id: 856
unit: def __call__()
file: official/vision/beta/losses/segmentation_losses.py
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number of parameters: 3

id: 857
unit: def neumf_model_fn()
file: official/recommendation/neumf_model.py
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size: 45 LOC
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number of parameters: 4

id: 858
unit: def __init__()
file: official/projects/movinet/modeling/movinet_layers.py
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number of parameters: 11

id: 859
unit: def __init__()
file: official/projects/movinet/modeling/movinet_layers.py
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id: 860
unit: def __init__()
file: official/projects/mobilebert/distillation.py
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size: 45 LOC
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number of parameters: 6

id: 861
unit: def get_nhnet_layers()
file: official/projects/nhnet/models.py
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size: 45 LOC
McCabe index: 1
number of parameters: 1

id: 862
unit: def autoseg_edgetpu_backbone_s()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
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end line: 0
size: 45 LOC
McCabe index: 1
number of parameters: 0

id: 863
unit: def autoseg_edgetpu_backbone_m()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
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size: 45 LOC
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id: 864
unit: def build()
file: official/projects/edgetpu/vision/modeling/custom_layers.py
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number of parameters: 3

id: 865
unit: def resnet_v1_generator()
file: official/legacy/detection/modeling/architecture/resnet.py
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size: 45 LOC
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number of parameters: 3

id: 866
unit: def resize_and_crop_image()
file: official/legacy/detection/utils/input_utils.py
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size: 45 LOC
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number of parameters: 7

id: 867
unit: def __init__()
file: official/nlp/modeling/models/bert_classifier.py
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id: 868
unit: def __init__()
file: official/nlp/modeling/models/t5.py
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number of parameters: 9

id: 869
unit: def _decode()
file: official/nlp/data/pretrain_dynamic_dataloader.py
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number of parameters: 2

id: 870
unit: def get_tfrecord_name()
file: official/nlp/data/create_xlnet_pretraining_data.py
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size: 45 LOC
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number of parameters: 13

id: 871
unit: def compute_bleu()
file: official/nlp/metrics/bleu.py
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number of parameters: 4

id: 872
unit: def __init__()
file: official/nlp/xlnet/xlnet_modeling.py
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number of parameters: 22

id: 873
unit: def _sample_mask_ngram()
file: official/nlp/xlnet/preprocess_pretrain_data.py
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size: 45 LOC
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number of parameters: 5

id: 874
unit: def _preprocess_eval_data()
file: official/nlp/tasks/question_answering.py
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size: 45 LOC
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id: 875
unit: def build_summaries()
file: research/vid2depth/model.py
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number of parameters: 1

id: 876
unit: def main()
file: research/autoaugment/train_cifar.py
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id: 877
unit: def build_model()
file: research/lfads/run_lfads.py
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id: 878
unit: def main()
file: research/object_detection/model_tpu_main.py
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number of parameters: 1

id: 879
unit: def _evaluate_all_masks()
file: research/object_detection/metrics/coco_evaluation.py
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number of parameters: 1

id: 880
unit: def build()
file: research/object_detection/builders/losses_builder.py
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number of parameters: 1

id: 881
unit: def _static_subsample()
file: research/object_detection/core/balanced_positive_negative_sampler.py
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size: 45 LOC
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number of parameters: 4

id: 882
unit: def pad_to_multiple()
file: research/object_detection/utils/ops.py
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size: 45 LOC
McCabe index: 8
number of parameters: 2

id: 883
unit: def draw_densepose_visualizations()
file: research/object_detection/utils/visualization_utils.py
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size: 45 LOC
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number of parameters: 5

id: 884
unit: def _assign_targets()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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size: 45 LOC
McCabe index: 10
number of parameters: 6

id: 885
unit: def test_restore_map_for_detection_ckpt()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
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end line: 0
size: 45 LOC
McCabe index: 6
number of parameters: 1

id: 886
unit: def _sample_box_classifier_batch()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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size: 45 LOC
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number of parameters: 7

id: 887
unit: def unstack_batch()
file: research/object_detection/model_lib.py
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size: 45 LOC
McCabe index: 8
number of parameters: 2

id: 888
unit: def mobiledet_gpu_backbone()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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size: 45 LOC
McCabe index: 1
number of parameters: 2

id: 889
unit: def _mnasfpn_cell()
file: research/object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor.py
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size: 45 LOC
McCabe index: 7
number of parameters: 7

id: 890
unit: def _spaghetti_node()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
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McCabe index: 3
number of parameters: 3

id: 891
unit: def pix2pix_generator()
file: research/slim/nets/pix2pix.py
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size: 45 LOC
McCabe index: 9
number of parameters: 5

id: 892
unit: def mobilenet_v1()
file: research/slim/nets/mobilenet_v1.py
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size: 45 LOC
McCabe index: 6
number of parameters: 12

id: 893
unit: def inception_resnet_v2()
file: research/slim/nets/inception_resnet_v2.py
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size: 45 LOC
McCabe index: 5
number of parameters: 8

id: 894
unit: def build_nasnet_mobile()
file: research/slim/nets/nasnet/nasnet.py
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size: 45 LOC
McCabe index: 7
number of parameters: 6

id: 895
unit: def build_nasnet_large()
file: research/slim/nets/nasnet/nasnet.py
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size: 45 LOC
McCabe index: 7
number of parameters: 6

id: 896
unit: def call()
file: official/vision/beta/modeling/layers/roi_sampler.py
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size: 44 LOC
McCabe index: 3
number of parameters: 4

id: 897
unit: def sorted_non_max_suppression_padded()
file: official/vision/beta/ops/nms.py
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size: 44 LOC
McCabe index: 1
number of parameters: 4

id: 898
unit: def __init__()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/maskrcnn_model.py
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McCabe index: 1
number of parameters: 23

id: 899
unit: def __init__()
file: official/vision/beta/projects/yolo/modeling/decoders/yolo_decoder.py
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size: 44 LOC
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number of parameters: 17

id: 900
unit: def _parse_train_data()
file: official/vision/beta/projects/yolo/dataloaders/yolo_input.py
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size: 44 LOC
McCabe index: 6
number of parameters: 2

id: 901
unit: def _get_centers()
file: official/vision/beta/projects/yolo/ops/anchor.py
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McCabe index: 2
number of parameters: 7

id: 902
unit: def build_model()
file: official/vision/beta/projects/simclr/tasks/simclr.py
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number of parameters: 1

id: 903
unit: def get_dataset()
file: official/recommendation/data_pipeline.py
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number of parameters: 3

id: 904
unit: def instantiate_pipeline()
file: official/recommendation/data_preprocessing.py
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number of parameters: 7

id: 905
unit: def __init__()
file: official/projects/movinet/modeling/movinet_layers.py
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id: 906
unit: def create_model()
file: official/projects/yt8m/modeling/yt8m_agg_models.py
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id: 907
unit: def __init__()
file: official/projects/assemblenet/modeling/assemblenet_plus.py
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number of parameters: 10

id: 908
unit: def call()
file: official/projects/detr/modeling/transformer.py
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McCabe index: 13
number of parameters: 2

id: 909
unit: def define_flags()
file: official/projects/nhnet/trainer.py
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McCabe index: 2
number of parameters: 0

id: 910
unit: def run()
file: official/projects/nhnet/trainer.py
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McCabe index: 8
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id: 911
unit: def __init__()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model.py
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number of parameters: 5

id: 912
unit: def _generate_detections_per_image()
file: official/legacy/detection/ops/postprocess_ops.py
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size: 44 LOC
McCabe index: 3
number of parameters: 6

id: 913
unit: def crop_mask_in_target_box()
file: official/legacy/detection/ops/spatial_transform_ops.py
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McCabe index: 3
number of parameters: 6

id: 914
unit: def evaluate()
file: official/legacy/detection/evaluation/coco_evaluator.py
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number of parameters: 1

id: 915
unit: def main()
file: official/legacy/bert/run_squad.py
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McCabe index: 8
number of parameters: 1

id: 916
unit: def call()
file: official/nlp/modeling/layers/transformer_scaffold.py
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number of parameters: 3

id: 917
unit: def _grow_alive_seq()
file: official/nlp/modeling/ops/sampling_module.py
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size: 44 LOC
McCabe index: 4
number of parameters: 4

id: 918
unit: def read_squad_examples()
file: official/nlp/data/squad_lib_sp.py
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McCabe index: 10
number of parameters: 4

id: 919
unit: def main()
file: official/nlp/xlnet/preprocess_classification_data.py
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McCabe index: 9
number of parameters: 1

id: 920
unit: def read_data()
file: research/vid2depth/reader.py
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McCabe index: 2
number of parameters: 1

id: 921
unit: def tf_print()
file: research/efficient-hrl/utils/utils.py
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McCabe index: 15
number of parameters: 8

id: 922
unit: TfLiteStatus FlexibleLayerNorm()
file: research/seq_flow_lite/tflite_ops/layer_norm.cc
start line: 152
end line: 214
size: 44 LOC
McCabe index: 4
number of parameters: 6

id: 923
unit: def adversarial_loss()
file: research/adversarial_text/graphs.py
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McCabe index: 5
number of parameters: 1

id: 924
unit: def main()
file: research/lstm_object_detection/eval.py
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McCabe index: 5
number of parameters: 1

id: 925
unit: def observation()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
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McCabe index: 13
number of parameters: 2

id: 926
unit: def _update_graph()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
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McCabe index: 13
number of parameters: 1

id: 927
unit: def __init__()
file: research/object_detection/predictors/convolutional_keras_box_predictor.py
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number of parameters: 17

id: 928
unit: def _unpack_evaluation_dictionary_items()
file: research/object_detection/metrics/coco_evaluation.py
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McCabe index: 7
number of parameters: 2

id: 929
unit: def assign_center_targets_from_boxes()
file: research/object_detection/core/target_assigner.py
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size: 44 LOC
McCabe index: 7
number of parameters: 7

id: 930
unit: def draw_bounding_box_on_image()
file: research/object_detection/utils/visualization_utils.py
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size: 44 LOC
McCabe index: 9
number of parameters: 8

id: 931
unit: def draw_keypoints_on_image()
file: research/object_detection/utils/visualization_utils.py
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size: 44 LOC
McCabe index: 18
number of parameters: 10

id: 932
unit: def _compute_object_center_loss()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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size: 44 LOC
McCabe index: 4
number of parameters: 6

id: 933
unit: def updates()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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McCabe index: 12
number of parameters: 1

id: 934
unit: def __init__()
file: research/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py
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McCabe index: 8
number of parameters: 5

id: 935
unit: def __init__()
file: research/object_detection/models/ssd_resnet_v1_fpn_keras_feature_extractor.py
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McCabe index: 3
number of parameters: 18

id: 936
unit: def resnet_v1()
file: research/slim/nets/resnet_v1.py
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McCabe index: 8
number of parameters: 11

id: 937
unit: def resnet_v2()
file: research/slim/nets/resnet_v2.py
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McCabe index: 9
number of parameters: 10

id: 938
unit: def vgg_16()
file: research/slim/nets/vgg.py
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McCabe index: 6
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id: 939
unit: def vgg_19()
file: research/slim/nets/vgg.py
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McCabe index: 6
number of parameters: 9

id: 940
unit: def inception_block_v1_3d()
file: research/slim/nets/i3d_utils.py
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McCabe index: 5
number of parameters: 11

id: 941
unit: def __init__()
file: research/deeplab/datasets/data_generator.py
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McCabe index: 4
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id: 942
unit: def __init__()
file: official/vision/beta/modeling/layers/nn_blocks.py
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McCabe index: 3
number of parameters: 18

id: 943
unit: def __init__()
file: official/vision/beta/modeling/backbones/mobiledet.py
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McCabe index: 5
number of parameters: 7

id: 944
unit: def initialize()
file: official/vision/beta/projects/panoptic_maskrcnn/tasks/panoptic_maskrcnn.py
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McCabe index: 8
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unit: def _build_struct()
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id: 948
unit: def build_inputs()
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unit: def build_losses()
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id: 951
unit: def multi_connection_fusion()
file: official/projects/assemblenet/modeling/assemblenet.py
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id: 952
unit: def get_config()
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id: 954
unit: def conv2d_block()
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id: 956
unit: def argmax()
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id: 957
unit: def _parse_predict_data()
file: official/legacy/detection/dataloader/maskrcnn_parser.py
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id: 958
unit: def __init__()
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file: official/legacy/detection/modeling/architecture/spinenet.py
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id: 960
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file: official/legacy/transformer/utils/metrics.py
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id: 961
unit: def __init__()
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unit: def __init__()
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id: 963
unit: def get_config()
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id: 964
unit: def file_based_convert_examples_to_features()
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id: 965
unit: def _sample_mask()
file: official/nlp/xlnet/preprocess_pretrain_data.py
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id: 966
unit: def validate_flags()
file: official/nlp/finetuning/superglue/flags.py
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id: 967
unit: def validate_flags()
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id: 968
unit: def cond_begin_episode_op()
file: research/efficient-hrl/agent.py
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id: 969
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file: research/cvt_text/training/trainer.py
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file: research/lstm_object_detection/lstm/rnn_decoder.py
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id: 972
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file: research/pcl_rl/controller.py
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file: research/object_detection/predictors/heads/keras_box_head.py
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file: research/object_detection/exporter.py
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id: 975
unit: def preprocess()
file: research/object_detection/core/preprocessor.py
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id: 976
unit: def multi_class_non_max_suppression()
file: research/object_detection/utils/np_box_mask_list_ops.py
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id: 977
unit: def _compute_keypoint_estimation_losses()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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unit: def __init__()
file: research/object_detection/models/ssd_mobilenet_v1_fpn_keras_feature_extractor.py
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id: 979
unit: def squeeze_excite()
file: research/slim/nets/mobilenet/conv_blocks.py
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id: 980
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file: research/slim/nets/vgg.py
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id: 981
unit: def xception()
file: research/deeplab/core/xception.py
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id: 982
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file: research/deeplab/evaluation/streaming_metrics.py
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id: 985
unit: def __init__()
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id: 989
unit: def resize_and_crop_image()
file: official/vision/beta/ops/preprocess_ops.py
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file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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unit: def __init__()
file: official/vision/beta/projects/yolo/modeling/heads/yolo_head.py
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unit: def build()
file: official/projects/basnet/modeling/refunet.py
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unit: def reshape_temporal_conv1d_bn()
file: official/projects/assemblenet/modeling/assemblenet.py
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file: official/projects/detr/optimization.py
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file: official/projects/detr/optimization.py
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id: 998
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file: official/projects/nhnet/trainer.py
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unit: def build()
file: official/projects/volumetric_models/modeling/heads/segmentation_heads_3d.py
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id: 1000
unit: def __call__()
file: official/projects/volumetric_models/losses/segmentation_losses.py
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unit: def __init__()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
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unit: def __init__()
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unit: def run_export()
file: official/projects/edgetpu/vision/serving/export_tflite.py
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id: 1004
unit: def train_loop_begin()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
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unit: def _build_class_net_layers()
file: official/legacy/detection/modeling/architecture/heads.py
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id: 1006
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file: official/legacy/detection/modeling/architecture/heads.py
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id: 1007
unit: def single_level_feature_crop()
file: official/legacy/detection/ops/spatial_transform_ops.py
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id: 1008
unit: def get_config()
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id: 1009
unit: def bert_pack_inputs()
file: official/nlp/modeling/layers/text_layers.py
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id: 1012
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file: official/nlp/finetuning/binary_helper.py
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id: 1013
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file: research/vid2depth/nets.py
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unit: def main()
file: research/efficient-hrl/scripts/local_eval.py
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file: research/delf/delf/python/training/build_image_dataset.py
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unit: def preprocess_for_train()
file: research/cognitive_planning/preprocessing/inception_preprocessing.py
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id: 1017
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file: research/cognitive_planning/embedders.py
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unit: def __init__()
file: research/lfads/distributions.py
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file: research/object_detection/builders/optimizer_builder.py
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id: 1020
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file: research/object_detection/utils/ops.py
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id: 1021
unit: def create_conv_block()
file: research/object_detection/utils/bifpn_utils.py
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id: 1022
unit: def postprocess_single_instance_keypoints()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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id: 1023
unit: def _summarize_target_assignment()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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id: 1024
unit: def parse_args()
file: research/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py
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id: 1025
unit: def block_basic()
file: research/object_detection/models/keras_models/resnet_v1.py
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id: 1026
unit: def run()
file: research/slim/datasets/download_and_convert_visualwakewords.py
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id: 1027
unit: def _process_image_files_batch()
file: research/slim/datasets/build_imagenet_data.py
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id: 1028
unit: def pix2pix_discriminator()
file: research/slim/nets/pix2pix.py
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id: 1029
unit: def waveform_to_log_mel_spectrogram_patches()
file: research/audioset/yamnet/features.py
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file: official/modeling/fast_training/progressive/trainer.py
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file: official/vision/beta/modeling/layers/nn_blocks.py
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id: 1032
unit: def _resample_with_sepconv()
file: official/vision/beta/modeling/backbones/spinenet_mobile.py
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id: 1033
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file: official/vision/beta/modeling/heads/dense_prediction_heads.py
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id: 1034
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file: official/vision/beta/dataloaders/maskrcnn_input.py
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id: 1035
unit: def evaluate()
file: official/vision/beta/evaluation/coco_evaluator.py
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id: 1036
unit: def __init__()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
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file: official/vision/beta/projects/yolo/losses/yolo_loss.py
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id: 1038
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file: official/vision/beta/projects/simclr/tasks/simclr.py
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id: 1039
unit: def draw_bounding_box_on_image()
file: official/vision/utils/object_detection/visualization_utils.py
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id: 1040
unit: def __init__()
file: official/projects/mobilebert/model_utils.py
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id: 1041
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file: official/projects/bigbird/recompute_grad.py
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id: 1042
unit: def evaluate()
file: official/projects/triviaqa/train.py
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id: 1043
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file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
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id: 1044
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file: official/legacy/detection/modeling/architecture/nn_blocks.py
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id: 1045
unit: def build_loss_fn()
file: official/legacy/detection/modeling/shapemask_model.py
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id: 1046
unit: def sorted_non_max_suppression_padded()
file: official/legacy/detection/ops/nms.py
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id: 1047
unit: def paste_instance_masks()
file: official/legacy/detection/utils/mask_utils.py
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unit: def __init__()
file: official/legacy/transformer/transformer_main.py
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id: 1049
unit: def create_classifier_dataset()
file: official/legacy/bert/input_pipeline.py
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file: official/nlp/modeling/layers/transformer.py
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unit: def build()
file: official/nlp/modeling/layers/tn_expand_condense.py
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id: 1053
unit: def export_model()
file: official/nlp/tools/export_tfhub_lib.py
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id: 1054
unit: def create_preprocessing()
file: official/nlp/tools/export_tfhub_lib.py
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id: 1055
unit: def _override_exp_config_by_flags()
file: official/nlp/finetuning/glue/run_glue.py
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unit: def main()
file: research/efficient-hrl/scripts/local_train.py
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file: research/efficient-hrl/agent.py
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id: 1058
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file: research/autoaugment/wrn.py
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id: 1059
unit: def ComputeMetrics()
file: research/delf/delf/python/datasets/revisited_op/dataset.py
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id: 1060
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file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
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file: research/lstm_object_detection/trainer.py
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file: research/lstm_object_detection/lstm/lstm_cells.py
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unit: def train_step()
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file: official/vision/utils/object_detection/preprocessor.py
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unit: def create_squad_dataset()
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unit: def create_retrieval_dataset()
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unit: def imdb_documents()
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unit: def main()
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unit: void NonMaxSuppressionMultiClass()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
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unit: def _embed_task_ios()
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unit: def _extract_box_classifier_features()
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unit: def color_jitter_rand()
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file: research/object_detection/predictors/heads/mask_head.py
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unit: def resnet_v1_18_beta()
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unit: def minimize_using_explicit_allreduce()
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unit: def convert_predictions_to_coco_annotations()
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unit: def build_yolo_decoder()
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unit: def color_jitter_rand()
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unit: def validation_step()
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unit: def __init__()
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id: 1206
unit: def build_mobilenet_edgetpu()
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id: 1207
unit: def groupconv2d_block()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
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unit: def build_loss_fn()
file: official/legacy/detection/modeling/maskrcnn_model.py
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id: 1209
unit: def sample_and_crop_foreground_masks()
file: official/legacy/detection/ops/target_ops.py
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unit: def convert_predictions_to_coco_annotations()
file: official/legacy/detection/evaluation/coco_utils.py
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id: 1211
unit: def get_predictions_and_labels()
file: official/legacy/bert/run_classifier.py
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id: 1212
unit: def build()
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unit: def call()
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unit: def generate()
file: official/nlp/modeling/ops/decoding_module.py
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unit: def __init__()
file: official/nlp/modeling/networks/span_labeling.py
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unit: def call()
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unit: def _get_symbols_to_logits_fn()
file: official/nlp/modeling/models/seq2seq_transformer.py
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unit: def __init__()
file: official/nlp/modeling/models/xlnet.py
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id: 1220
unit: def write_glue_classification()
file: official/nlp/finetuning/binary_helper.py
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id: 1221
unit: def action_embed_net()
file: research/efficient-hrl/agent.py
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id: 1222
unit: TfLiteStatus IntegerLayerNorm()
file: research/seq_flow_lite/tflite_ops/layer_norm.cc
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id: 1223
unit: TfLiteStatus Eval()
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id: 1224
unit: def _qrnn_pooling()
file: research/seq_flow_lite/layers/qrnn_layers.py
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unit: def __init__()
file: research/delf/delf/python/training/model/resnet50.py
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unit: def __init__()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
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file: research/cognitive_planning/tasks.py
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unit: def core()
file: research/pcl_rl/policy.py
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unit: def create_summaries()
file: research/attention_ocr/python/model.py
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unit: def preprocess_for_train()
file: research/attention_ocr/python/inception_preprocessing.py
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unit: def predict()
file: research/object_detection/predictors/heads/mask_head.py
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unit: def predict()
file: research/object_detection/predictors/heads/class_head.py
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unit: def predict()
file: research/object_detection/predictors/heads/class_head.py
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id: 1235
unit: def augment_input_data()
file: research/object_detection/inputs.py
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unit: def _match_predictions_to_groundtruths()
file: research/object_detection/metrics/coco_evaluation.py
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unit: def _build_classification_loss()
file: research/object_detection/builders/losses_builder.py
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unit: def create_downsample_feature_map_ops()
file: research/object_detection/utils/bifpn_utils.py
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unit: def _predict_first_stage()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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unit: def export_inference_graph()
file: research/object_detection/exporter_lib_v2.py
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file: research/object_detection/eval_util.py
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file: research/object_detection/eval_util.py
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id: 1248
unit: def mobiledet_edgetpu_backbone()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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unit: def pooling_pyramid_feature_maps()
file: research/object_detection/models/feature_map_generators.py
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unit: def mobilenet()
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unit: def xception_arg_scope()
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unit: def __call__()
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unit: def generate_coco_panoptics_masks()
file: official/vision/beta/data/create_coco_tf_record.py
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unit: def __init__()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/panoptic_segmentation_generator.py
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file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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unit: def _mosaic_crop_image()
file: official/vision/beta/projects/yolo/ops/mosaic.py
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id: 1265
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file: official/vision/beta/tasks/video_classification.py
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id: 1266
unit: def boolean_mask()
file: official/vision/utils/object_detection/box_list_ops.py
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file: official/core/base_task.py
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id: 1268
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file: official/recommendation/ncf_input_pipeline.py
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file: official/projects/teams/teams_pretrainer.py
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id: 1271
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file: official/projects/bigbird/experiment_configs.py
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file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
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file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
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file: official/legacy/detection/dataloader/anchor.py
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file: official/legacy/detection/evaluation/coco_evaluator.py
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file: official/legacy/detection/utils/mask_utils.py
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file: official/legacy/transformer/attention_layer.py
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file: official/legacy/image_classification/classifier_trainer.py
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file: official/nlp/modeling/layers/kernel_attention.py
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unit: def generate_tf_record_from_json_file()
file: official/nlp/data/squad_lib.py
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id: 1284
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file: official/nlp/data/create_pretraining_data.py
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file: official/nlp/xlnet/xlnet_modeling.py
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file: official/nlp/xlnet/preprocess_squad_data.py
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file: official/nlp/tasks/question_answering.py
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file: official/nlp/finetuning/binary_helper.py
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id: 1289
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file: research/efficient-hrl/agent.py
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file: research/autoaugment/shake_drop.py
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id: 1291
unit: void TensorflowTfLiteOpTest::RunTfLiteOp()
file: research/seq_flow_lite/tflite_ops/tf_tflite_diff_test_util.cc
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file: research/cvt_text/preprocessing.py
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file: research/delf/delf/python/feature_aggregation_extractor.py
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file: research/lstm_object_detection/models/lstm_ssd_interleaved_mobilenet_v2_feature_extractor.py
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file: research/cognitive_planning/tasks.py
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file: research/lfads/lfads.py
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file: research/object_detection/metrics/coco_evaluation.py
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McCabe index: 3
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id: 1416
unit: def _generate_subtokens_with_target_vocab_size()
file: official/legacy/transformer/utils/tokenizer.py
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end line: 0
size: 35 LOC
McCabe index: 8
number of parameters: 6

id: 1417
unit: def __init__()
file: official/nlp/modeling/layers/gated_feedforward.py
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size: 35 LOC
McCabe index: 2
number of parameters: 16

id: 1418
unit: def get_config()
file: official/nlp/modeling/layers/transformer_scaffold.py
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size: 35 LOC
McCabe index: 1
number of parameters: 1

id: 1419
unit: def get_config()
file: official/nlp/modeling/layers/rezero_transformer.py
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end line: 0
size: 35 LOC
McCabe index: 1
number of parameters: 1

id: 1420
unit: def __init__()
file: official/nlp/modeling/models/seq2seq_transformer.py
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size: 35 LOC
McCabe index: 1
number of parameters: 13

id: 1421
unit: def __init__()
file: official/nlp/modeling/models/xlnet.py
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size: 35 LOC
McCabe index: 3
number of parameters: 9

id: 1422
unit: def __init__()
file: official/nlp/modeling/models/bert_pretrainer.py
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size: 35 LOC
McCabe index: 6
number of parameters: 8

id: 1423
unit: def _convert_index()
file: official/nlp/data/squad_lib_sp.py
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end line: 0
size: 35 LOC
McCabe index: 17
number of parameters: 4

id: 1424
unit: def _convert_index()
file: official/nlp/xlnet/squad_utils.py
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size: 35 LOC
McCabe index: 17
number of parameters: 4

id: 1425
unit: def _override_exp_config_by_flags()
file: official/nlp/finetuning/superglue/run_superglue.py
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end line: 0
size: 35 LOC
McCabe index: 3
number of parameters: 2

id: 1426
unit: def main()
file: official/nlp/finetuning/superglue/run_superglue.py
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end line: 0
size: 35 LOC
McCabe index: 5
number of parameters: 1

id: 1427
unit: def train_step()
file: research/efficient-hrl/train_utils.py
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end line: 0
size: 35 LOC
McCabe index: 13
number of parameters: 5

id: 1428
unit: def __init__()
file: research/efficient-hrl/agents/ddpg_agent.py
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end line: 0
size: 35 LOC
McCabe index: 2
number of parameters: 11

id: 1429
unit: void TensorflowTfLiteOpTest::ConstructTfLiteOp()
file: research/seq_flow_lite/tflite_ops/tf_tflite_diff_test_util.cc
start line: 231
end line: 270
size: 35 LOC
McCabe index: 6
number of parameters: 0

id: 1430
unit: TfLiteStatus Eval()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
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end line: 482
size: 35 LOC
McCabe index: 5
number of parameters: 2

id: 1431
unit: def __init__()
file: research/seq_flow_lite/models/pqrnn.py
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size: 35 LOC
McCabe index: 3
number of parameters: 4

id: 1432
unit: def ReadMetricsFile()
file: research/delf/delf/python/datasets/revisited_op/dataset.py
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size: 35 LOC
McCabe index: 7
number of parameters: 1

id: 1433
unit: def main()
file: research/delf/delf/python/detect_to_retrieve/extract_query_features.py
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end line: 0
size: 35 LOC
McCabe index: 8
number of parameters: 1

id: 1434
unit: def _ReadAggregatedDescriptors()
file: research/delf/delf/python/detect_to_retrieve/perform_retrieval.py
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end line: 0
size: 35 LOC
McCabe index: 10
number of parameters: 3

id: 1435
unit: def compute_metrics_and_print()
file: research/delf/delf/python/training/global_features_utils.py
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end line: 0
size: 35 LOC
McCabe index: 3
number of parameters: 5

id: 1436
unit: def _build_lstm_feature_extractor()
file: research/lstm_object_detection/model_builder.py
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end line: 0
size: 35 LOC
McCabe index: 6
number of parameters: 4

id: 1437
unit: bool MobileSSDTfLiteClient::NoPostProcessNoAnchors()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 494
end line: 535
size: 35 LOC
McCabe index: 5
number of parameters: 1

id: 1438
unit: def build_detection_graph()
file: research/object_detection/exporter.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 10
number of parameters: 9

id: 1439
unit: def get_reduce_to_frame_fn()
file: research/object_detection/inputs.py
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end line: 0
size: 35 LOC
McCabe index: 6
number of parameters: 2

id: 1440
unit: def _build_faster_rcnn_keras_feature_extractor()
file: research/object_detection/builders/model_builder.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 5
number of parameters: 3

id: 1441
unit: def build_optimizers_tf_v2()
file: research/object_detection/builders/optimizer_builder.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 6
number of parameters: 2

id: 1442
unit: def create_target_assigner()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 35 LOC
McCabe index: 9
number of parameters: 4

id: 1443
unit: def _generate()
file: research/object_detection/anchor_generators/multiscale_grid_anchor_generator.py
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end line: 0
size: 35 LOC
McCabe index: 13
number of parameters: 4

id: 1444
unit: def _compute_kp_depth_loss()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 35 LOC
McCabe index: 3
number of parameters: 6

id: 1445
unit: def _rescore_instances()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 35 LOC
McCabe index: 3
number of parameters: 4

id: 1446
unit: def __init__()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 7
number of parameters: 10

id: 1447
unit: def _get_mask_head_input()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 4
number of parameters: 3

id: 1448
unit: def result_dict_for_single_example()
file: research/object_detection/eval_util.py
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end line: 0
size: 35 LOC
McCabe index: 6
number of parameters: 6

id: 1449
unit: def __init__()
file: research/object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 4
number of parameters: 16

id: 1450
unit: def build_pnasnet_large()
file: research/slim/nets/nasnet/pnasnet.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 6
number of parameters: 5

id: 1451
unit: def discriminator()
file: research/slim/nets/dcgan.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 3
number of parameters: 6

id: 1452
unit: def _convert_dataset()
file: research/deeplab/datasets/build_voc2012_data.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 6
number of parameters: 1

id: 1453
unit: def resnet_v1_50()
file: research/deeplab/core/resnet_v1_beta.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 4
number of parameters: 9

id: 1454
unit: def resnet_v1_101()
file: research/deeplab/core/resnet_v1_beta.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 4
number of parameters: 9

id: 1455
unit: def resnet_arg_scope()
file: research/deeplab/core/resnet_v1_beta.py
start line: 0
end line: 0
size: 35 LOC
McCabe index: 9
number of parameters: 9

id: 1456
unit: def make_tflite_export()
file: research/audioset/yamnet/export.py
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end line: 0
size: 35 LOC
McCabe index: 3
number of parameters: 2

id: 1457
unit: def __init__()
file: official/modeling/multitask/base_trainer.py
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end line: 0
size: 34 LOC
McCabe index: 7
number of parameters: 7

id: 1458
unit: def call()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 34 LOC
McCabe index: 8
number of parameters: 4

id: 1459
unit: def _call_mask_outputs()
file: official/vision/beta/modeling/maskrcnn_model.py
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end line: 0
size: 34 LOC
McCabe index: 3
number of parameters: 10

id: 1460
unit: def write_tf_record_dataset()
file: official/vision/beta/data/tfrecord_lib.py
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end line: 0
size: 34 LOC
McCabe index: 9
number of parameters: 6

id: 1461
unit: def encode_boxes()
file: official/vision/beta/ops/box_ops.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 3
number of parameters: 3

id: 1462
unit: def sharpness()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 5
number of parameters: 2

id: 1463
unit: def __init__()
file: official/vision/beta/projects/yolo/ops/anchor.py
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end line: 0
size: 34 LOC
McCabe index: 8
number of parameters: 11

id: 1464
unit: def train_step()
file: official/vision/beta/tasks/maskrcnn.py
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end line: 0
size: 34 LOC
McCabe index: 7
number of parameters: 6

id: 1465
unit: def parse_flags()
file: official/recommendation/ncf_common.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 4
number of parameters: 1

id: 1466
unit: def _block_group()
file: official/projects/basnet/modeling/basnet_model.py
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end line: 0
size: 34 LOC
McCabe index: 2
number of parameters: 6

id: 1467
unit: def bigbird_squad()
file: official/projects/bigbird/experiment_configs.py
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end line: 0
size: 34 LOC
McCabe index: 1
number of parameters: 0

id: 1468
unit: def stateless_dropout()
file: official/projects/bigbird/stateless_dropout.py
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end line: 0
size: 34 LOC
McCabe index: 8
number of parameters: 6

id: 1469
unit: def build()
file: official/projects/detr/modeling/detr.py
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end line: 0
size: 34 LOC
McCabe index: 1
number of parameters: 2

id: 1470
unit: def get_decode_logits()
file: official/projects/nhnet/models.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 4
number of parameters: 6

id: 1471
unit: def train_loop_end()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
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end line: 0
size: 34 LOC
McCabe index: 4
number of parameters: 1

id: 1472
unit: def __init__()
file: official/legacy/detection/evaluation/coco_evaluator.py
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end line: 0
size: 34 LOC
McCabe index: 7
number of parameters: 4

id: 1473
unit: def __init__()
file: official/legacy/detection/evaluation/coco_evaluator.py
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end line: 0
size: 34 LOC
McCabe index: 4
number of parameters: 6

id: 1474
unit: def encode_boxes()
file: official/legacy/detection/utils/box_utils.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 3
number of parameters: 3

id: 1475
unit: def _tokenize_bucketize_and_batch()
file: official/nlp/data/wmt_dataloader.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 9
number of parameters: 3

id: 1476
unit: def _token_span_mask()
file: official/nlp/data/pretrain_dataloader.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 3
number of parameters: 2

id: 1477
unit: def read_squad_examples()
file: official/nlp/xlnet/squad_utils.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 8
number of parameters: 2

id: 1478
unit: def define_flags()
file: official/nlp/xlnet/preprocess_pretrain_data.py
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end line: 0
size: 34 LOC
McCabe index: 1
number of parameters: 0

id: 1479
unit: def validate_case_matches_checkpoint()
file: official/nlp/tools/tokenization.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 9
number of parameters: 2

id: 1480
unit: def write_xtreme_classification()
file: official/nlp/finetuning/binary_helper.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 3
number of parameters: 9

id: 1481
unit: def get_contextual_env_base()
file: research/efficient-hrl/utils/utils.py
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end line: 0
size: 34 LOC
McCabe index: 8
number of parameters: 3

id: 1482
unit: def compute_average_reward()
file: research/efficient-hrl/utils/eval_utils.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 2
number of parameters: 6

id: 1483
unit: TfLiteStatus Eval()
file: research/seq_flow_lite/models/sgnn/sgnn_projection.cc
start line: 90
end line: 127
size: 34 LOC
McCabe index: 6
number of parameters: 2

id: 1484
unit: def __init__()
file: research/cvt_text/task_specific/word_level/tagging_module.py
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end line: 0
size: 34 LOC
McCabe index: 3
number of parameters: 6

id: 1485
unit: def main()
file: research/delf/delf/python/delg/measure_latency.py
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end line: 0
size: 34 LOC
McCabe index: 13
number of parameters: 1

id: 1486
unit: def get_restore_checkpoint_ops()
file: research/lstm_object_detection/trainer.py
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end line: 0
size: 34 LOC
McCabe index: 8
number of parameters: 3

id: 1487
unit: def visualize_random_step_sequence()
file: research/cognitive_planning/viz_active_vision_dataset_main.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 4
number of parameters: 1

id: 1488
unit: def episode_batch()
file: research/cognitive_planning/tasks.py
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size: 34 LOC
McCabe index: 14
number of parameters: 2

id: 1489
unit: def _dense_pose_surface_coordinates()
file: research/object_detection/data_decoders/tf_example_decoder.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 7
number of parameters: 2

id: 1490
unit: def write_saved_model()
file: research/object_detection/exporter.py
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end line: 0
size: 34 LOC
McCabe index: 4
number of parameters: 4

id: 1491
unit: def _read_dataset_internal()
file: research/object_detection/builders/dataset_builder.py
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end line: 0
size: 34 LOC
McCabe index: 8
number of parameters: 5

id: 1492
unit: def _build_center_net_feature_extractor()
file: research/object_detection/builders/model_builder.py
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end line: 0
size: 34 LOC
McCabe index: 7
number of parameters: 2

id: 1493
unit: def build_optimizers_tf_v1()
file: research/object_detection/builders/optimizer_builder.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 6
number of parameters: 2

id: 1494
unit: def boolean_mask()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 9
number of parameters: 6

id: 1495
unit: def drop_label_probabilistically()
file: research/object_detection/core/preprocessor.py
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end line: 0
size: 34 LOC
McCabe index: 5
number of parameters: 10

id: 1496
unit: def random_image_scale()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 2
number of parameters: 6

id: 1497
unit: def assign_temporal_offset_targets()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 34 LOC
McCabe index: 7
number of parameters: 7

id: 1498
unit: def _compute_tp_fp()
file: research/object_detection/utils/per_image_vrd_evaluation.py
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end line: 0
size: 34 LOC
McCabe index: 3
number of parameters: 6

id: 1499
unit: def _update_initial_learning_rate()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 34 LOC
McCabe index: 9
number of parameters: 2

id: 1500
unit: def main()
file: research/object_detection/inference/infer_detections.py
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end line: 0
size: 34 LOC
McCabe index: 7
number of parameters: 1

id: 1501
unit: def convert_strided_predictions_to_instance_masks()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 34 LOC
McCabe index: 5
number of parameters: 11

id: 1502
unit: def _compute_temporal_offset_loss()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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size: 34 LOC
McCabe index: 2
number of parameters: 4

id: 1503
unit: def __init__()
file: research/object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py
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size: 34 LOC
McCabe index: 3
number of parameters: 13

id: 1504
unit: def mobilenet()
file: research/slim/nets/mobilenet/mobilenet_v3.py
start line: 0
end line: 0
size: 34 LOC
McCabe index: 3
number of parameters: 8

id: 1505
unit: def _build_deeplab()
file: research/deeplab/train.py
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end line: 0
size: 34 LOC
McCabe index: 4
number of parameters: 3

id: 1506
unit: def get_branch_logits()
file: research/deeplab/model.py
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end line: 0
size: 34 LOC
McCabe index: 7
number of parameters: 8

id: 1507
unit: def __init__()
file: official/modeling/multitask/interleaving_trainer.py
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end line: 0
size: 33 LOC
McCabe index: 5
number of parameters: 7

id: 1508
unit: def call()
file: official/vision/beta/modeling/heads/segmentation_heads.py
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end line: 0
size: 33 LOC
McCabe index: 10
number of parameters: 7

id: 1509
unit: def random_crop_resize()
file: official/vision/beta/ops/preprocess_ops_3d.py
start line: 0
end line: 0
size: 33 LOC
McCabe index: 1
number of parameters: 9

id: 1510
unit: def __init__()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 33 LOC
McCabe index: 1
number of parameters: 17

id: 1511
unit: def affine_warp_boxes()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
start line: 0
end line: 0
size: 33 LOC
McCabe index: 1
number of parameters: 4

id: 1512
unit: def get_predicted_box()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
start line: 0
end line: 0
size: 33 LOC
McCabe index: 7
number of parameters: 10

id: 1513
unit: def train_step()
file: official/vision/beta/tasks/retinanet.py
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end line: 0
size: 33 LOC
McCabe index: 6
number of parameters: 6

id: 1514
unit: def build_metrics()
file: official/vision/beta/tasks/image_classification.py
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end line: 0
size: 33 LOC
McCabe index: 6
number of parameters: 2

id: 1515
unit: def train_step()
file: official/vision/beta/tasks/semantic_segmentation.py
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end line: 0
size: 33 LOC
McCabe index: 9
number of parameters: 6

id: 1516
unit: def get_inference_signatures()
file: official/vision/beta/serving/export_base.py
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end line: 0
size: 33 LOC
McCabe index: 7
number of parameters: 3

id: 1517
unit: def export()
file: official/core/export_base.py
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end line: 0
size: 33 LOC
McCabe index: 8
number of parameters: 9

id: 1518
unit: def _generate_synthetic_data()
file: official/recommendation/ranking/data/data_pipeline.py
start line: 0
end line: 0
size: 33 LOC
McCabe index: 6
number of parameters: 3

id: 1519
unit: def __init__()
file: official/projects/movinet/modeling/movinet_model.py
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end line: 0
size: 33 LOC
McCabe index: 3
number of parameters: 12

id: 1520
unit: def _skew_elements_right()
file: official/projects/triviaqa/inputs.py
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end line: 0
size: 33 LOC
McCabe index: 6
number of parameters: 4

id: 1521
unit: def make_pipeline()
file: official/projects/triviaqa/preprocess.py
start line: 0
end line: 0
size: 33 LOC
McCabe index: 2
number of parameters: 9

id: 1522
unit: def assemblenet_v1()
file: official/projects/assemblenet/modeling/assemblenet.py
start line: 0
end line: 0
size: 33 LOC
McCabe index: 2
number of parameters: 9

id: 1523
unit: def position_embedding_sine()
file: official/projects/detr/modeling/detr.py
start line: 0
end line: 0
size: 33 LOC
McCabe index: 6
number of parameters: 5

id: 1524
unit: def __init__()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
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end line: 0
size: 33 LOC
McCabe index: 1
number of parameters: 16

id: 1525
unit: def _create_replicated_step()
file: official/legacy/detection/executor/detection_executor.py
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end line: 0
size: 33 LOC
McCabe index: 4
number of parameters: 6

id: 1526
unit: def build()
file: official/legacy/transformer/attention_layer.py
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size: 33 LOC
McCabe index: 3
number of parameters: 2

id: 1527
unit: def __init__()
file: official/nlp/modeling/layers/kernel_attention.py
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size: 33 LOC
McCabe index: 7
number of parameters: 9

id: 1528
unit: def __init__()
file: official/nlp/modeling/layers/cls_head.py
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end line: 0
size: 33 LOC
McCabe index: 5
number of parameters: 11

id: 1529
unit: def _build_from_signature()
file: official/nlp/modeling/layers/relative_attention.py
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end line: 0
size: 33 LOC
McCabe index: 4
number of parameters: 4

id: 1530
unit: def build()
file: official/nlp/modeling/layers/spectral_normalization.py
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end line: 0
size: 33 LOC
McCabe index: 3
number of parameters: 2

id: 1531
unit: def get_config()
file: official/nlp/modeling/layers/transformer_xl.py
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end line: 0
size: 33 LOC
McCabe index: 1
number of parameters: 1

id: 1532
unit: def __init__()
file: official/nlp/data/squad_lib_sp.py
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size: 33 LOC
McCabe index: 1
number of parameters: 17

id: 1533
unit: def bert_tagging()
file: official/nlp/configs/finetuning_experiments.py
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end line: 0
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number of parameters: 0

id: 1534
unit: def _word_span_mask()
file: official/nlp/xlnet/data_utils.py
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size: 33 LOC
McCabe index: 2
number of parameters: 6

id: 1535
unit: def _create_examples()
file: official/nlp/xlnet/preprocess_classification_data.py
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size: 33 LOC
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id: 1536
unit: def _create_examples()
file: official/nlp/xlnet/preprocess_classification_data.py
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number of parameters: 3

id: 1537
unit: def __init__()
file: research/efficient-hrl/agent.py
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end line: 0
size: 33 LOC
McCabe index: 1
number of parameters: 10

id: 1538
unit: void TensorflowTfLiteOpTest::RunTensorflowOp()
file: research/seq_flow_lite/tflite_ops/tf_tflite_diff_test_util.cc
start line: 124
end line: 161
size: 33 LOC
McCabe index: 6
number of parameters: 0

id: 1539
unit: TfLiteStatus Eval()
file: research/seq_flow_lite/tflite_ops/expected_value.cc
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end line: 141
size: 33 LOC
McCabe index: 4
number of parameters: 2

id: 1540
unit: def __init__()
file: research/seq_flow_lite/layers/qrnn_layers.py
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number of parameters: 8

id: 1541
unit: def call()
file: research/adversarial_text/layers.py
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size: 33 LOC
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number of parameters: 2

id: 1542
unit: def main()
file: research/delf/delf/python/datasets/google_landmarks_dataset/compute_recognition_metrics.py
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size: 33 LOC
McCabe index: 2
number of parameters: 1

id: 1543
unit: def _step_no_reward()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
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size: 33 LOC
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number of parameters: 2

id: 1544
unit: def distort_color()
file: research/cognitive_planning/preprocessing/inception_preprocessing.py
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size: 33 LOC
McCabe index: 7
number of parameters: 4

id: 1545
unit: def get_preprocessing()
file: research/cognitive_planning/preprocessing/preprocessing_factory.py
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McCabe index: 2
number of parameters: 2

id: 1546
unit: def distort_color()
file: research/attention_ocr/python/inception_preprocessing.py
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size: 33 LOC
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number of parameters: 4

id: 1547
unit: def __init__()
file: research/object_detection/predictors/heads/keras_box_head.py
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size: 33 LOC
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number of parameters: 10

id: 1548
unit: def main()
file: research/object_detection/model_main_tf2.py
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size: 33 LOC
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number of parameters: 1

id: 1549
unit: def get_estimator_eval_metric_ops()
file: research/object_detection/metrics/lvis_evaluation.py
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size: 33 LOC
McCabe index: 4
number of parameters: 2

id: 1550
unit: def read_data_and_evaluate()
file: research/object_detection/metrics/offline_eval_map_corloc.py
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size: 33 LOC
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number of parameters: 2

id: 1551
unit: def get_estimator_eval_metric_ops()
file: research/object_detection/metrics/coco_evaluation.py
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size: 33 LOC
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number of parameters: 2

id: 1552
unit: def add_single_detected_image_info()
file: research/object_detection/metrics/coco_evaluation.py
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size: 33 LOC
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number of parameters: 3

id: 1553
unit: def get_estimator_eval_metric_ops()
file: research/object_detection/metrics/coco_evaluation.py
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size: 33 LOC
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number of parameters: 2

id: 1554
unit: def main()
file: research/object_detection/metrics/oid_vrd_challenge_evaluation.py
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number of parameters: 1

id: 1555
unit: def build()
file: research/object_detection/builders/decoder_builder.py
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size: 33 LOC
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number of parameters: 1

id: 1556
unit: def add_single_ground_truth_image_info()
file: research/object_detection/utils/object_detection_evaluation.py
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size: 33 LOC
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number of parameters: 3

id: 1557
unit: def __init__()
file: research/object_detection/utils/object_detection_evaluation.py
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size: 33 LOC
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number of parameters: 11

id: 1558
unit: def _compute_box_scale_and_offset_loss()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 33 LOC
McCabe index: 2
number of parameters: 6

id: 1559
unit: def test_restore_map_for_classification_ckpt()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
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end line: 0
size: 33 LOC
McCabe index: 5
number of parameters: 1

id: 1560
unit: def _compute_per_instance_box_consistency_loss()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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size: 33 LOC
McCabe index: 4
number of parameters: 4

id: 1561
unit: def convert_kitti_to_tfrecords()
file: research/object_detection/dataset_tools/create_kitti_tf_record.py
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end line: 0
size: 33 LOC
McCabe index: 5
number of parameters: 5

id: 1562
unit: def extract_features()
file: research/object_detection/models/ssd_mobilenet_v1_feature_extractor.py
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end line: 0
size: 33 LOC
McCabe index: 2
number of parameters: 2

id: 1563
unit: def mobiledet_cpu_backbone()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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end line: 0
size: 33 LOC
McCabe index: 1
number of parameters: 2

id: 1564
unit: def __init__()
file: research/object_detection/models/center_net_resnet_feature_extractor.py
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size: 33 LOC
McCabe index: 5
number of parameters: 5

id: 1565
unit: def _configure_learning_rate()
file: research/slim/train_image_classifier.py
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size: 33 LOC
McCabe index: 7
number of parameters: 2

id: 1566
unit: def ProcessXMLAnnotation()
file: research/slim/datasets/process_bounding_boxes.py
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size: 33 LOC
McCabe index: 5
number of parameters: 1

id: 1567
unit: def distort_color()
file: research/slim/preprocessing/inception_preprocessing.py
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size: 33 LOC
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number of parameters: 4

id: 1568
unit: def bottleneck()
file: research/slim/nets/resnet_v1.py
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size: 33 LOC
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number of parameters: 8

id: 1569
unit: def _apply_conv_operation()
file: research/slim/nets/nasnet/nasnet_utils.py
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size: 33 LOC
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number of parameters: 6

id: 1570
unit: def model_fn()
file: research/deep_speech/deep_speech.py
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size: 33 LOC
McCabe index: 3
number of parameters: 4

id: 1571
unit: def evaluate()
file: official/modeling/multitask/evaluator.py
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size: 32 LOC
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number of parameters: 2

id: 1572
unit: def __init__()
file: official/vision/beta/modeling/layers/nn_blocks.py
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number of parameters: 15

id: 1573
unit: def __init__()
file: official/vision/beta/modeling/layers/nn_blocks.py
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size: 32 LOC
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number of parameters: 15

id: 1574
unit: def coco_annotations_to_lists()
file: official/vision/beta/data/create_coco_tf_record.py
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end line: 0
size: 32 LOC
McCabe index: 9
number of parameters: 5

id: 1575
unit: def filter_boxes()
file: official/vision/beta/ops/box_ops.py
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end line: 0
size: 32 LOC
McCabe index: 4
number of parameters: 4

id: 1576
unit: def bbox_generalized_overlap()
file: official/vision/beta/ops/box_ops.py
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end line: 0
size: 32 LOC
McCabe index: 5
number of parameters: 2

id: 1577
unit: def _apply_multi_bbox_augmentation()
file: official/vision/beta/ops/augment.py
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size: 32 LOC
McCabe index: 10
number of parameters: 6

id: 1578
unit: def __call__()
file: official/vision/beta/ops/iou_similarity.py
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size: 32 LOC
McCabe index: 12
number of parameters: 5

id: 1579
unit: def update_state()
file: official/vision/beta/evaluation/panoptic_quality_evaluator.py
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size: 32 LOC
McCabe index: 7
number of parameters: 3

id: 1580
unit: def build()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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size: 32 LOC
McCabe index: 8
number of parameters: 2

id: 1581
unit: def parse_prediction_path()
file: official/vision/beta/projects/yolo/modeling/layers/detection_generator.py
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size: 32 LOC
McCabe index: 7
number of parameters: 3

id: 1582
unit: def __init__()
file: official/vision/beta/projects/simclr/dataloaders/simclr_input.py
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McCabe index: 5
number of parameters: 12

id: 1583
unit: def build()
file: official/vision/beta/projects/simclr/heads/simclr_head.py
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size: 32 LOC
McCabe index: 8
number of parameters: 2

id: 1584
unit: def validation_step()
file: official/vision/beta/tasks/retinanet.py
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size: 32 LOC
McCabe index: 3
number of parameters: 5

id: 1585
unit: def resize_to_range()
file: official/vision/utils/object_detection/preprocessor.py
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end line: 0
size: 32 LOC
McCabe index: 6
number of parameters: 7

id: 1586
unit: def match_files()
file: official/core/input_reader.py
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size: 32 LOC
McCabe index: 12
number of parameters: 2

id: 1587
unit: def _shard_files_then_read()
file: official/core/input_reader.py
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size: 32 LOC
McCabe index: 13
number of parameters: 11

id: 1588
unit: def try_count_flops()
file: official/core/train_utils.py
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size: 32 LOC
McCabe index: 8
number of parameters: 5

id: 1589
unit: def _get_training_batch()
file: official/recommendation/data_pipeline.py
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size: 32 LOC
McCabe index: 4
number of parameters: 2

id: 1590
unit: def _get_keras_model()
file: official/recommendation/ncf_keras_main.py
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end line: 0
size: 32 LOC
McCabe index: 3
number of parameters: 1

id: 1591
unit: def __init__()
file: official/projects/movinet/modeling/movinet_layers.py
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size: 32 LOC
McCabe index: 2
number of parameters: 9

id: 1592
unit: def ap_at_n()
file: official/projects/yt8m/eval_utils/average_precision_calculator.py
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end line: 0
size: 32 LOC
McCabe index: 11
number of parameters: 4

id: 1593
unit: def rgb_conv_stem()
file: official/projects/assemblenet/modeling/assemblenet.py
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end line: 0
size: 32 LOC
McCabe index: 2
number of parameters: 7

id: 1594
unit: def multi_stream_heads()
file: official/projects/assemblenet/modeling/assemblenet.py
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end line: 0
size: 32 LOC
McCabe index: 5
number of parameters: 5

id: 1595
unit: def build()
file: official/projects/nhnet/decoder.py
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size: 32 LOC
McCabe index: 2
number of parameters: 2

id: 1596
unit: def build_metrics()
file: official/projects/edgetpu/vision/tasks/image_classification.py
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end line: 0
size: 32 LOC
McCabe index: 5
number of parameters: 2

id: 1597
unit: def finalize_serving()
file: official/projects/edgetpu/vision/serving/export_util.py
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end line: 0
size: 32 LOC
McCabe index: 10
number of parameters: 2

id: 1598
unit: def __init__()
file: official/legacy/detection/modeling/architecture/nn_blocks.py
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size: 32 LOC
McCabe index: 3
number of parameters: 12

id: 1599
unit: def __init__()
file: official/legacy/detection/modeling/architecture/nn_blocks.py
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McCabe index: 3
number of parameters: 12

id: 1600
unit: def __init__()
file: official/legacy/detection/modeling/architecture/spinenet.py
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size: 32 LOC
McCabe index: 2
number of parameters: 6

id: 1601
unit: def compute_grid_positions()
file: official/legacy/detection/ops/spatial_transform_ops.py
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end line: 0
size: 32 LOC
McCabe index: 3
number of parameters: 4

id: 1602
unit: def filter_boxes()
file: official/legacy/detection/utils/box_utils.py
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size: 32 LOC
McCabe index: 4
number of parameters: 4

id: 1603
unit: def call()
file: official/legacy/transformer/transformer.py
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McCabe index: 3
number of parameters: 8

id: 1604
unit: def _read_and_batch_from_files()
file: official/legacy/transformer/data_pipeline.py
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size: 32 LOC
McCabe index: 11
number of parameters: 9

id: 1605
unit: def call()
file: official/nlp/modeling/layers/tn_transformer_expand_condense.py
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McCabe index: 11
number of parameters: 2

id: 1606
unit: def build()
file: official/nlp/modeling/layers/gaussian_process.py
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size: 32 LOC
McCabe index: 3
number of parameters: 2

id: 1607
unit: def make_precision_matrix_update_op()
file: official/nlp/modeling/layers/gaussian_process.py
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end line: 0
size: 32 LOC
McCabe index: 7
number of parameters: 4

id: 1608
unit: def get_config()
file: official/nlp/modeling/layers/reuse_attention.py
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size: 32 LOC
McCabe index: 1
number of parameters: 1

id: 1609
unit: def _compute_attention()
file: official/nlp/modeling/layers/reuse_attention.py
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McCabe index: 10
number of parameters: 7

id: 1610
unit: def call()
file: official/nlp/modeling/layers/reuse_attention.py
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McCabe index: 10
number of parameters: 8

id: 1611
unit: def __call__()
file: official/nlp/modeling/models/t5.py
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McCabe index: 3
number of parameters: 9

id: 1612
unit: def __init__()
file: official/nlp/modeling/models/t5.py
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number of parameters: 4

id: 1613
unit: def call()
file: official/nlp/modeling/models/bert_pretrainer.py
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size: 32 LOC
McCabe index: 8
number of parameters: 2

id: 1614
unit: def _batch_examples()
file: official/nlp/data/wmt_dataloader.py
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size: 32 LOC
McCabe index: 12
number of parameters: 3

id: 1615
unit: def generate_tf_record_from_data_file()
file: official/nlp/data/tagging_data_lib.py
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end line: 0
size: 32 LOC
McCabe index: 2
number of parameters: 8

id: 1616
unit: def bert_squad()
file: official/nlp/configs/finetuning_experiments.py
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end line: 0
size: 32 LOC
McCabe index: 1
number of parameters: 0

id: 1617
unit: def create_optimizer()
file: official/nlp/xlnet/optimization.py
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end line: 0
size: 32 LOC
McCabe index: 3
number of parameters: 6

id: 1618
unit: def tokenize()
file: official/nlp/tools/tokenization.py
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size: 32 LOC
McCabe index: 9
number of parameters: 2

id: 1619
unit: def __call__()
file: research/efficient-hrl/context/samplers.py
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size: 32 LOC
McCabe index: 6
number of parameters: 3

id: 1620
unit: def __call__()
file: research/efficient-hrl/context/samplers.py
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end line: 0
size: 32 LOC
McCabe index: 8
number of parameters: 3

id: 1621
unit: TfLiteStatus PreprocessInput()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 248
end line: 279
size: 32 LOC
McCabe index: 6
number of parameters: 2

id: 1622
unit: def model_fn_builder()
file: research/seq_flow_lite/trainer.py
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size: 32 LOC
McCabe index: 7
number of parameters: 1

id: 1623
unit: def main()
file: research/seq_flow_lite/trainer_v2.py
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McCabe index: 5
number of parameters: 1

id: 1624
unit: def __init__()
file: research/cvt_text/model/multitask_model.py
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size: 32 LOC
McCabe index: 6
number of parameters: 4

id: 1625
unit: def generate_test_data()
file: research/adversarial_text/gen_data.py
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end line: 0
size: 32 LOC
McCabe index: 3
number of parameters: 3

id: 1626
unit: def ResizeImage()
file: research/delf/delf/python/utils.py
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end line: 0
size: 32 LOC
McCabe index: 12
number of parameters: 3

id: 1627
unit: def _create_train_op()
file: research/rebar/rebar.py
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size: 32 LOC
McCabe index: 9
number of parameters: 3

id: 1628
unit: def _build_training_batch_dict()
file: research/lstm_object_detection/inputs/seq_dataset_builder.py
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size: 32 LOC
McCabe index: 3
number of parameters: 3

id: 1629
unit: def init()
file: research/cognitive_planning/train_supervised_active_vision.py
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size: 32 LOC
McCabe index: 3
number of parameters: 3

id: 1630
unit: def _bottleneck_residual()
file: research/cognitive_planning/embedders.py
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end line: 0
size: 32 LOC
McCabe index: 3
number of parameters: 6

id: 1631
unit: def _exploration()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 32 LOC
McCabe index: 9
number of parameters: 1

id: 1632
unit: def _sample_obs()
file: research/cognitive_planning/tasks.py
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size: 32 LOC
McCabe index: 9
number of parameters: 7

id: 1633
unit: def optimize()
file: research/pcl_rl/trust_region.py
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end line: 0
size: 32 LOC
McCabe index: 5
number of parameters: 3

id: 1634
unit: def reshape_batched_inputs()
file: research/pcl_rl/baseline.py
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end line: 0
size: 32 LOC
McCabe index: 7
number of parameters: 5

id: 1635
unit: def predict()
file: research/object_detection/predictors/heads/box_head.py
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end line: 0
size: 32 LOC
McCabe index: 4
number of parameters: 3

id: 1636
unit: def resize_image()
file: research/object_detection/core/preprocessor.py
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end line: 0
size: 32 LOC
McCabe index: 3
number of parameters: 6

id: 1637
unit: def _generate()
file: research/object_detection/anchor_generators/grid_anchor_generator.py
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end line: 0
size: 32 LOC
McCabe index: 8
number of parameters: 2

id: 1638
unit: def create_ssd_anchors()
file: research/object_detection/anchor_generators/multiple_grid_anchor_generator.py
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end line: 0
size: 32 LOC
McCabe index: 15
number of parameters: 9

id: 1639
unit: def compute_object_detection_metrics()
file: research/object_detection/utils/per_image_evaluation.py
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end line: 0
size: 32 LOC
McCabe index: 1
number of parameters: 10

id: 1640
unit: def _compute_kp_heatmap_loss()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 32 LOC
McCabe index: 3
number of parameters: 7

id: 1641
unit: def create_train_and_eval_specs()
file: research/object_detection/model_lib.py
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end line: 0
size: 32 LOC
McCabe index: 8
number of parameters: 8

id: 1642
unit: def main()
file: research/object_detection/dataset_tools/context_rcnn/add_context_to_examples.py
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end line: 0
size: 32 LOC
McCabe index: 1
number of parameters: 2

id: 1643
unit: def __init__()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor.py
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size: 32 LOC
McCabe index: 1
number of parameters: 14

id: 1644
unit: def __init__()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor.py
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McCabe index: 1
number of parameters: 14

id: 1645
unit: def __init__()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor.py
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size: 32 LOC
McCabe index: 1
number of parameters: 14

id: 1646
unit: def __init__()
file: research/object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor.py
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end line: 0
size: 32 LOC
McCabe index: 2
number of parameters: 14

id: 1647
unit: def create_conv_block()
file: research/object_detection/models/feature_map_generators.py
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end line: 0
size: 32 LOC
McCabe index: 4
number of parameters: 9

id: 1648
unit: def __init__()
file: research/object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor.py
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size: 32 LOC
McCabe index: 2
number of parameters: 14

id: 1649
unit: def extract_features()
file: research/object_detection/models/ssd_mobilenet_v2_feature_extractor.py
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end line: 0
size: 32 LOC
McCabe index: 2
number of parameters: 2

id: 1650
unit: def mobilenet_v1_arg_scope()
file: research/slim/nets/mobilenet_v1.py
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end line: 0
size: 32 LOC
McCabe index: 5
number of parameters: 8

id: 1651
unit: def inception_v1()
file: research/slim/nets/inception_v1.py
start line: 0
end line: 0
size: 32 LOC
McCabe index: 5
number of parameters: 9

id: 1652
unit: def stack_blocks_dense()
file: research/slim/nets/resnet_utils.py
start line: 0
end line: 0
size: 32 LOC
McCabe index: 16
number of parameters: 5

id: 1653
unit: def _process_batch()
file: research/deeplab/vis.py
start line: 0
end line: 0
size: 32 LOC
McCabe index: 4
number of parameters: 10

id: 1654
unit: def joint_train_step()
file: official/modeling/multitask/multitask.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 5
number of parameters: 6

id: 1655
unit: def call()
file: official/vision/beta/modeling/layers/roi_generator.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 6
number of parameters: 9

id: 1656
unit: def _build_stem()
file: official/vision/beta/modeling/backbones/spinenet_mobile.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 2
number of parameters: 2

id: 1657
unit: def _fill_rectangle()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 3
number of parameters: 6

id: 1658
unit: def main()
file: official/vision/beta/projects/panoptic_maskrcnn/serving/export_saved_model.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 6
number of parameters: 1

id: 1659
unit: def __init__()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 4
number of parameters: 6

id: 1660
unit: def _build_label()
file: official/vision/beta/projects/centernet/dataloaders/centernet_input.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 2
number of parameters: 6

id: 1661
unit: def _residual_stack()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 5
number of parameters: 4

id: 1662
unit: def _jitter_scale()
file: official/vision/beta/projects/yolo/dataloaders/yolo_input.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 6
number of parameters: 11

id: 1663
unit: def affine_warp_image()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 1
number of parameters: 9

id: 1664
unit: def train_step()
file: official/vision/beta/projects/simclr/tasks/simclr.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 11
number of parameters: 5

id: 1665
unit: def _build_coco_metrics()
file: official/vision/beta/tasks/maskrcnn.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 6
number of parameters: 1

id: 1666
unit: def concatenate()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 13
number of parameters: 3

id: 1667
unit: def define_device()
file: official/utils/flags/_device.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 2
number of parameters: 1

id: 1668
unit: def lookup_negative_items()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 6
number of parameters: 3

id: 1669
unit: def rebalance_data_shards()
file: official/recommendation/ranking/preprocessing/shard_rebalancer.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 3
number of parameters: 0

id: 1670
unit: def _flatten_dims()
file: official/projects/triviaqa/inputs.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 13
number of parameters: 4

id: 1671
unit: def call()
file: official/projects/detr/modeling/transformer.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 6
number of parameters: 10

id: 1672
unit: def initialize_bert2bert_from_pretrained_bert()
file: official/projects/nhnet/utils.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 6
number of parameters: 3

id: 1673
unit: def train_step()
file: official/projects/edgetpu/vision/tasks/image_classification.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 9
number of parameters: 6

id: 1674
unit: def __init__()
file: official/legacy/detection/dataloader/tf_example_decoder.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 2
number of parameters: 2

id: 1675
unit: def evaluate_from_model_dir()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 5
number of parameters: 12

id: 1676
unit: def run_bert_pretrain()
file: official/legacy/bert/run_pretraining.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 4
number of parameters: 2

id: 1677
unit: def squad_model()
file: official/legacy/bert/bert_models.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 3
number of parameters: 5

id: 1678
unit: def decode_crop_and_flip()
file: official/legacy/image_classification/preprocessing.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 3
number of parameters: 1

id: 1679
unit: def __init__()
file: official/nlp/modeling/layers/block_diag_feedforward.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 2
number of parameters: 14

id: 1680
unit: def get_config()
file: official/nlp/modeling/layers/gated_feedforward.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 1
number of parameters: 1

id: 1681
unit: def __init__()
file: official/nlp/modeling/layers/transformer_xl.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 2
number of parameters: 14

id: 1682
unit: def generate_tagging_dataset()
file: official/nlp/data/create_finetuning_data.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 4
number of parameters: 0

id: 1683
unit: def __init__()
file: official/nlp/xlnet/squad_utils.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 1
number of parameters: 16

id: 1684
unit: def __init__()
file: official/nlp/xlnet/run_squad.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 1
number of parameters: 16

id: 1685
unit: def evaluate()
file: official/nlp/tools/squad_evaluate_v2_0.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 13
number of parameters: 3

id: 1686
unit: def build_losses()
file: official/nlp/tasks/masked_lm.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 4
number of parameters: 5

id: 1687
unit: def override_qa_task_config()
file: official/nlp/finetuning/binary_helper.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 1
number of parameters: 12

id: 1688
unit: def get_transformation_matrix()
file: research/vid2depth/ops/icp_util.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 1
number of parameters: 1

id: 1689
unit: def np_get_transformation_matrix()
file: research/vid2depth/ops/icp_util.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 1
number of parameters: 1

id: 1690
unit: def augment_images_scale_crop()
file: research/vid2depth/reader.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 1
number of parameters: 5

id: 1691
unit: def actor_net()
file: research/efficient-hrl/agents/ddpg_networks.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 4
number of parameters: 4

id: 1692
unit: TfLiteStatus DefaultLayerNorm()
file: research/seq_flow_lite/tflite_ops/layer_norm.cc
start line: 340
end line: 371
size: 31 LOC
McCabe index: 4
number of parameters: 4

id: 1693
unit: def _get_word_reprs()
file: research/cvt_text/model/encoder.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 3
number of parameters: 2

id: 1694
unit: def _build_train_tfrecord_dataset()
file: research/delf/delf/python/training/build_image_dataset.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 12
number of parameters: 6

id: 1695
unit: void MobileSSDTfLiteClient::GetOutputBoxesAndScoreTensorsFromUInt8()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 402
end line: 438
size: 31 LOC
McCabe index: 5
number of parameters: 0

id: 1696
unit: void DecodeCenterSizeBoxes()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
start line: 116
end line: 150
size: 31 LOC
McCabe index: 3
number of parameters: 4

id: 1697
unit: def train()
file: research/attention_ocr/python/train.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 2
number of parameters: 3

id: 1698
unit: def export_tflite_model()
file: research/object_detection/export_tflite_graph_lib_tf2.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 6
number of parameters: 7

id: 1699
unit: def __init__()
file: research/object_detection/data_decoders/tf_example_decoder.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 2
number of parameters: 6

id: 1700
unit: def _decode()
file: research/object_detection/box_coders/keypoint_box_coder.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 2
number of parameters: 3

id: 1701
unit: def _get_features_dict()
file: research/object_detection/inputs.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 7
number of parameters: 2

id: 1702
unit: def expected_calibration_error()
file: research/object_detection/metrics/calibration_metrics.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 1
number of parameters: 3

id: 1703
unit: def ExportGroundtruthToCOCO()
file: research/object_detection/metrics/coco_tools.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 5
number of parameters: 5

id: 1704
unit: def ExportSegmentsToCOCO()
file: research/object_detection/metrics/coco_tools.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 9
number of parameters: 6

id: 1705
unit: def _compute_panoptic_metrics()
file: research/object_detection/metrics/coco_evaluation.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 4
number of parameters: 5

id: 1706
unit: def concatenate()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 13
number of parameters: 3

id: 1707
unit: def random_distort_color()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 3
number of parameters: 3

id: 1708
unit: def retain_groundtruth()
file: research/object_detection/utils/ops.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 9
number of parameters: 2

id: 1709
unit: def add_single_ground_truth_image_info()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 10
number of parameters: 3

id: 1710
unit: def get_label_map_hierarchy_lut()
file: research/object_detection/utils/label_map_util.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 8
number of parameters: 2

id: 1711
unit: def _compute_cor_loc()
file: research/object_detection/utils/per_image_evaluation.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 6
number of parameters: 8

id: 1712
unit: def _create_losses()
file: research/object_detection/legacy/trainer.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 7
number of parameters: 3

id: 1713
unit: def _compute_kp_regression_loss()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 2
number of parameters: 6

id: 1714
unit: def _get_mask_proposal_boxes_and_classes()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 2
number of parameters: 7

id: 1715
unit: def per_pixel_conditional_conv()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 9
number of parameters: 4

id: 1716
unit: def _resize_image()
file: research/object_detection/dataset_tools/context_rcnn/add_context_to_examples.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 1
number of parameters: 2

id: 1717
unit: def __init__()
file: research/object_detection/models/keras_models/hourglass_network.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 4
number of parameters: 6

id: 1718
unit: def __init__()
file: research/object_detection/models/ssd_resnet_v1_fpn_keras_feature_extractor.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 1
number of parameters: 16

id: 1719
unit: def __init__()
file: research/object_detection/models/ssd_resnet_v1_fpn_keras_feature_extractor.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 1
number of parameters: 16

id: 1720
unit: def __init__()
file: research/object_detection/models/ssd_resnet_v1_fpn_keras_feature_extractor.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 1
number of parameters: 16

id: 1721
unit: def extract_features()
file: research/object_detection/models/ssd_resnet_v1_ppn_feature_extractor.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 3
number of parameters: 2

id: 1722
unit: def get_split()
file: research/slim/datasets/cifar10.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 5
number of parameters: 4

id: 1723
unit: def get_split()
file: research/slim/datasets/flowers.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 5
number of parameters: 4

id: 1724
unit: def get_split()
file: research/slim/datasets/mnist.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 5
number of parameters: 4

id: 1725
unit: def build_model()
file: research/slim/nets/mobilenet_v1_train.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 4
number of parameters: 0

id: 1726
unit: def predict_labels()
file: research/deeplab/model.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 4
number of parameters: 3

id: 1727
unit: def main()
file: research/audioset/vggish/vggish_train_demo.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 7
number of parameters: 1

id: 1728
unit: def define_vggish_slim()
file: research/audioset/vggish/vggish_slim.py
start line: 0
end line: 0
size: 31 LOC
McCabe index: 5
number of parameters: 2

id: 1729
unit: def build_optimizer()
file: official/modeling/optimization/optimizer_factory.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 8
number of parameters: 9

id: 1730
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 1
number of parameters: 1

id: 1731
unit: def build_spinenet_mobile()
file: official/vision/beta/modeling/backbones/spinenet_mobile.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 2
number of parameters: 4

id: 1732
unit: def convert_to_feature()
file: official/vision/beta/data/tfrecord_lib.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 13
number of parameters: 2

id: 1733
unit: def __init__()
file: official/vision/beta/projects/centernet/modeling/layers/cn_nn_blocks.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 3
number of parameters: 11

id: 1734
unit: def __init__()
file: official/vision/beta/projects/centernet/modeling/heads/centernet_head.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 7
number of parameters: 8

id: 1735
unit: def _augment_image()
file: official/vision/beta/projects/yolo/ops/mosaic.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 3
number of parameters: 9

id: 1736
unit: def compute_ciou()
file: official/vision/beta/projects/yolo/ops/box_ops.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 3
number of parameters: 4

id: 1737
unit: def build_inputs()
file: official/vision/beta/projects/yolo/tasks/image_classification.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 2
number of parameters: 3

id: 1738
unit: def call()
file: official/vision/beta/projects/simclr/modeling/simclr_model.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 8
number of parameters: 4

id: 1739
unit: def train_step()
file: official/vision/beta/projects/simclr/tasks/simclr.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 10
number of parameters: 5

id: 1740
unit: def build_metrics()
file: official/vision/beta/tasks/video_classification.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 5
number of parameters: 2

id: 1741
unit: def box_voting()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 5
number of parameters: 3

id: 1742
unit: def _compute_new_dynamic_size()
file: official/vision/utils/object_detection/preprocessor.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 5
number of parameters: 3

id: 1743
unit: def prepare_raw_data()
file: official/recommendation/create_ncf_data.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 1
number of parameters: 1

id: 1744
unit: def dlrm_criteo_tb_config()
file: official/recommendation/ranking/configs/config.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 1
number of parameters: 0

id: 1745
unit: def dcn_criteo_tb_config()
file: official/recommendation/ranking/configs/config.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 1
number of parameters: 0

id: 1746
unit: def call()
file: official/projects/teams/teams_pretrainer.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 1
number of parameters: 2

id: 1747
unit: def AddEpochSummary()
file: official/projects/yt8m/dataloaders/utils.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 1
number of parameters: 4

id: 1748
unit: def __init__()
file: official/projects/basnet/modeling/refunet.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 1
number of parameters: 10

id: 1749
unit: def create_mobilebert_pretrainer()
file: official/projects/mobilebert/model_utils.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 1
number of parameters: 1

id: 1750
unit: def build_segmentation_model_3d()
file: official/projects/volumetric_models/modeling/factory.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 1
number of parameters: 3

id: 1751
unit: def __init__()
file: official/legacy/detection/modeling/architecture/nn_ops.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 4
number of parameters: 9

id: 1752
unit: def post_processing()
file: official/legacy/detection/modeling/maskrcnn_model.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 5
number of parameters: 3

id: 1753
unit: def encode_and_save_files()
file: official/legacy/transformer/data_download.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 11
number of parameters: 5

id: 1754
unit: def distort()
file: official/legacy/image_classification/augment.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 4
number of parameters: 2

id: 1755
unit: def __init__()
file: official/nlp/modeling/layers/text_layers.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 6
number of parameters: 10

id: 1756
unit: def call()
file: official/nlp/modeling/models/electra_pretrainer.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 3
number of parameters: 2

id: 1757
unit: def _create_examples()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 9
number of parameters: 3

id: 1758
unit: def find_best_thresh()
file: official/nlp/xlnet/squad_utils.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 11
number of parameters: 4

id: 1759
unit: def _token_span_mask()
file: official/nlp/xlnet/data_utils.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 3
number of parameters: 5

id: 1760
unit: def _train_n_steps()
file: orbit/controller.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 6
number of parameters: 2

id: 1761
unit: def _euler2mat()
file: research/vid2depth/project.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 1
number of parameters: 3

id: 1762
unit: def _make_reward_fn()
file: research/efficient-hrl/context/context.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 15
number of parameters: 3

id: 1763
unit: def step()
file: research/efficient-hrl/context/context.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 6
number of parameters: 5

id: 1764
unit: def run_environment()
file: research/efficient-hrl/run_env.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 4
number of parameters: 3

id: 1765
unit: def ReadSolution()
file: research/delf/delf/python/datasets/google_landmarks_dataset/dataset_file_io.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 10
number of parameters: 2

id: 1766
unit: bool MobileSSDClient::BatchDetect()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 57
end line: 87
size: 30 LOC
McCabe index: 8
number of parameters: 3

id: 1767
unit: def __init__()
file: research/lstm_object_detection/models/lstm_ssd_mobilenet_v1_feature_extractor.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 1
number of parameters: 11

id: 1768
unit: def _residual()
file: research/cognitive_planning/embedders.py
start line: 0
end line: 0
size: 30 LOC
McCabe index: 3
number of parameters: 6

id: 1769
unit: def get_objective()
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unit: def create_init_fn_to_restore()
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id: 1772
unit: def _predict()
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id: 1773
unit: def get_estimator_eval_metric_ops()
file: research/object_detection/metrics/coco_evaluation.py
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id: 1774
unit: def add_single_detected_image_info()
file: research/object_detection/metrics/coco_evaluation.py
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id: 1775
unit: def build()
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id: 1778
unit: def retain_boxes_above_threshold()
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id: 1779
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id: 1780
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id: 1781
unit: def get_patch_mask()
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id: 1782
unit: def exponential_decay_with_warmup()
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id: 1783
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id: 1784
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id: 1785
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id: 1790
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file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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id: 1791
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id: 1793
unit: def generate_and_write_records()
file: research/object_detection/dataset_tools/create_ava_actions_tf_record.py
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id: 1794
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id: 1795
unit: def Conv2D()
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id: 1796
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id: 1797
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id: 1798
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id: 1799
unit: def __init__()
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id: 1801
unit: def block_spec_decoder()
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id: 1802
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id: 1803
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id: 1804
unit: def policy_v0()
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id: 1805
unit: def policy_reduced_cifar10()
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id: 1806
unit: def policy_svhn()
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id: 1807
unit: def policy_reduced_imagenet()
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id: 1808
unit: def _suppression_loop_body()
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id: 1809
unit: def result()
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id: 1810
unit: def call()
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unit: def _get_conv_op_and_kwargs()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/instance_heads.py
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id: 1813
unit: def get_v1_distribution_strategy()
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id: 1814
unit: def build_basnet_model()
file: official/projects/basnet/tasks/basnet.py
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id: 1815
unit: def create_dataset()
file: official/projects/nhnet/input_pipeline.py
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id: 1816
unit: def main()
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id: 1817
unit: def __init__()
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id: 1818
unit: def _parse_train_image()
file: official/projects/edgetpu/vision/dataloaders/classification_input.py
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id: 1819
unit: def _build_stem()
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id: 1820
unit: def _rpn_iou_loss()
file: official/legacy/detection/modeling/losses.py
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id: 1821
unit: def post_processing()
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id: 1822
unit: def post_processing()
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id: 1823
unit: def _suppression_loop_body()
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unit: def _get_symbols_to_logits_fn()
file: official/legacy/transformer/transformer.py
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id: 1825
unit: def predict_squad_customized()
file: official/legacy/bert/run_squad_helper.py
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id: 1826
unit: def call()
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id: 1827
unit: def decode_and_center_crop()
file: official/legacy/image_classification/preprocessing.py
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id: 1828
unit: def policy_v0()
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id: 1829
unit: def create_projection_matrix()
file: official/nlp/modeling/layers/kernel_attention.py
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unit: def get_config()
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id: 1831
unit: def get_config()
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id: 1832
unit: def _get_new_finished_state()
file: official/nlp/modeling/ops/sampling_module.py
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unit: def __init__()
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id: 1834
unit: def get_test_examples()
file: official/nlp/data/classifier_data_lib.py
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id: 1835
unit: def get_train_examples()
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id: 1836
unit: def get_test_examples()
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id: 1837
unit: def __init__()
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id: 1838
unit: def write_predictions()
file: official/nlp/data/squad_lib.py
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id: 1839
unit: def write_predictions()
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id: 1840
unit: def _get_factorization()
file: official/nlp/data/pretrain_dataloader.py
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id: 1841
unit: def encode_pieces()
file: official/nlp/xlnet/preprocess_utils.py
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id: 1842
unit: def convert_checkpoint()
file: official/nlp/tools/tf2_bert_encoder_checkpoint_converter.py
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id: 1843
unit: def main()
file: official/nlp/serving/export_savedmodel.py
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id: 1844
unit: def get_inference_signatures()
file: official/nlp/serving/serving_modules.py
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id: 1845
unit: def critic_loss()
file: research/efficient-hrl/agents/ddpg_agent.py
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id: 1846
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file: research/autoaugment/wrn.py
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unit: def main()
file: research/seq_flow_lite/export_to_tflite.py
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id: 1849
unit: def random_substr()
file: research/seq_flow_lite/utils/misc_utils.py
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id: 1850
unit: std::vector ProjectionTokenizer::Tokenize()
file: research/seq_flow_lite/tf_ops/projection_tokenizer_util.cc
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id: 1851
unit: def build()
file: research/cvt_text/base/embeddings.py
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id: 1852
unit: def virtual_adversarial_loss_bidir()
file: research/adversarial_text/adversarial_losses.py
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id: 1853
unit: void NonMaxSuppressionMultiClassRestrict()
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id: 1854
unit: def mobilenet_v1_lite_def()
file: research/lstm_object_detection/models/mobilenet_defs.py
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id: 1855
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id: 1856
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id: 1857
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file: research/attention_ocr/python/model.py
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id: 1859
unit: def evaluate()
file: research/object_detection/metrics/lvis_evaluation.py
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unit: def __init__()
file: research/object_detection/metrics/tf_example_parser.py
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id: 1861
unit: def box_voting()
file: research/object_detection/core/box_list_ops.py
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unit: def static_or_dynamic_map_fn()
file: research/object_detection/utils/shape_utils.py
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id: 1863
unit: def prediction_tensors_to_boxes()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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id: 1864
unit: def convert_strided_predictions_to_normalized_keypoints()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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id: 1865
unit: def _extract_box_classifier_features()
file: research/object_detection/meta_architectures/context_rcnn_meta_arch.py
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unit: def main()
file: research/object_detection/dataset_tools/create_pascal_tf_record.py
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id: 1867
unit: def extract_features()
file: research/object_detection/models/ssd_pnasnet_feature_extractor.py
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unit: def build()
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id: 1871
unit: def _expanded_conv()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
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id: 1872
unit: def _convert_to_example()
file: research/slim/datasets/build_imagenet_data.py
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id: 1873
unit: def self_gating()
file: research/slim/nets/s3dg.py
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id: 1874
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file: research/slim/nets/nasnet/nasnet_utils.py
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id: 1875
unit: def compute_spectrogram_feature()
file: research/deep_speech/data/featurizer.py
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id: 1876
unit: def bottleneck()
file: research/deeplab/core/resnet_v1_beta.py
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id: 1877
unit: def spectrogram_to_mel_matrix()
file: research/audioset/vggish/mel_features.py
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id: 1878
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file: official/vision/beta/modeling/backbones/spinenet.py
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file: official/vision/beta/ops/augment.py
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id: 1880
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id: 1881
unit: def sample_sequence()
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unit: def train_step()
file: official/vision/beta/projects/centernet/tasks/centernet.py
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id: 1883
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file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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file: official/vision/beta/projects/video_ssl/tasks/pretrain.py
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size: 28 LOC
McCabe index: 8
number of parameters: 5

id: 1888
unit: def build_losses()
file: official/vision/beta/tasks/image_classification.py
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end line: 0
size: 28 LOC
McCabe index: 5
number of parameters: 4

id: 1889
unit: def validation_step()
file: official/vision/beta/tasks/semantic_segmentation.py
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end line: 0
size: 28 LOC
McCabe index: 7
number of parameters: 5

id: 1890
unit: def preprocess()
file: official/vision/beta/serving/detection.py
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end line: 0
size: 28 LOC
McCabe index: 4
number of parameters: 2

id: 1891
unit: def default_config()
file: official/recommendation/ranking/configs/config.py
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end line: 0
size: 28 LOC
McCabe index: 1
number of parameters: 0

id: 1892
unit: def build_movinet()
file: official/projects/movinet/modeling/movinet.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 3
number of parameters: 4

id: 1893
unit: def AddGlobalStepSummary()
file: official/projects/yt8m/dataloaders/utils.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 2
number of parameters: 4

id: 1894
unit: def block_group()
file: official/projects/assemblenet/modeling/assemblenet.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 3
number of parameters: 10

id: 1895
unit: def build_batch_norm()
file: official/projects/assemblenet/modeling/rep_flow_2d_layer.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 4
number of parameters: 4

id: 1896
unit: def _generate_boxes()
file: official/legacy/detection/dataloader/anchor.py
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end line: 0
size: 28 LOC
McCabe index: 4
number of parameters: 1

id: 1897
unit: def __call__()
file: official/legacy/detection/modeling/architecture/fpn.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 10
number of parameters: 3

id: 1898
unit: def _create_test_step()
file: official/legacy/detection/executor/detection_executor.py
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end line: 0
size: 28 LOC
McCabe index: 4
number of parameters: 4

id: 1899
unit: def call()
file: official/legacy/detection/ops/postprocess_ops.py
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end line: 0
size: 28 LOC
McCabe index: 1
number of parameters: 5

id: 1900
unit: def main()
file: official/legacy/transformer/data_download.py
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end line: 0
size: 28 LOC
McCabe index: 5
number of parameters: 1

id: 1901
unit: def eval_squad()
file: official/legacy/bert/run_squad_helper.py
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end line: 0
size: 28 LOC
McCabe index: 4
number of parameters: 6

id: 1902
unit: def process_record_dataset()
file: official/legacy/image_classification/resnet/imagenet_preprocessing.py
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end line: 0
size: 28 LOC
McCabe index: 8
number of parameters: 9

id: 1903
unit: def __init__()
file: official/nlp/modeling/layers/cls_head.py
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end line: 0
size: 28 LOC
McCabe index: 3
number of parameters: 8

id: 1904
unit: def build()
file: official/nlp/modeling/layers/mobile_bert_layers.py
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end line: 0
size: 28 LOC
McCabe index: 3
number of parameters: 2

id: 1905
unit: def call()
file: official/nlp/modeling/models/seq2seq_transformer.py
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end line: 0
size: 28 LOC
McCabe index: 6
number of parameters: 8

id: 1906
unit: def __init__()
file: official/nlp/modeling/models/t5.py
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size: 28 LOC
McCabe index: 1
number of parameters: 10

id: 1907
unit: def __init__()
file: official/nlp/modeling/models/t5.py
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end line: 0
size: 28 LOC
McCabe index: 1
number of parameters: 10

id: 1908
unit: def _name_to_features()
file: official/nlp/data/pretrain_dataloader.py
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end line: 0
size: 28 LOC
McCabe index: 4
number of parameters: 1

id: 1909
unit: def main()
file: official/nlp/train.py
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end line: 0
size: 28 LOC
McCabe index: 7
number of parameters: 1

id: 1910
unit: def build()
file: official/nlp/xlnet/xlnet_modeling.py
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end line: 0
size: 28 LOC
McCabe index: 1
number of parameters: 2

id: 1911
unit: def override_tagging_task_config()
file: official/nlp/finetuning/binary_helper.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 1
number of parameters: 9

id: 1912
unit: def _make_sampler_fn()
file: research/efficient-hrl/context/context.py
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end line: 0
size: 28 LOC
McCabe index: 11
number of parameters: 3

id: 1913
unit: def __init__()
file: research/delf/delf/python/datasets/tuples_dataset.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 6
number of parameters: 10

id: 1914
unit: void MobileSSDClient::AllocateBuffers()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 175
end line: 206
size: 28 LOC
McCabe index: 5
number of parameters: 0

id: 1915
unit: bool GenerateSsdAnchors()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
start line: 388
end line: 420
size: 28 LOC
McCabe index: 3
number of parameters: 2

id: 1916
unit: def pre_bottleneck()
file: research/lstm_object_detection/lstm/lstm_cells.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 7
number of parameters: 4

id: 1917
unit: def _train()
file: research/pcl_rl/controller.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 4
number of parameters: 8

id: 1918
unit: def encode_data()
file: research/lfads/lfads.py
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end line: 0
size: 28 LOC
McCabe index: 6
number of parameters: 5

id: 1919
unit: def get_data()
file: research/attention_ocr/python/data_provider.py
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end line: 0
size: 28 LOC
McCabe index: 2
number of parameters: 6

id: 1920
unit: def parse_side_inputs()
file: research/object_detection/exporter.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 8
number of parameters: 3

id: 1921
unit: def _encode()
file: research/object_detection/box_coders/keypoint_box_coder.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 4
number of parameters: 3

id: 1922
unit: def create_predict_input_fn()
file: research/object_detection/inputs.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 1
number of parameters: 2

id: 1923
unit: def add_single_detected_image_info()
file: research/object_detection/metrics/lvis_evaluation.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 4
number of parameters: 3

id: 1924
unit: def LoadAnnotations()
file: research/object_detection/metrics/coco_tools.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 9
number of parameters: 2

id: 1925
unit: def ExportSingleImageDetectionMasksToCoco()
file: research/object_detection/metrics/coco_tools.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 6
number of parameters: 5

id: 1926
unit: def _decode_raw_data_into_masks_and_boxes()
file: research/object_detection/metrics/oid_challenge_evaluation_utils.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 4
number of parameters: 3

id: 1927
unit: def ExportSingleImageDetectionMasksToLVIS()
file: research/object_detection/metrics/lvis_tools.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 6
number of parameters: 5

id: 1928
unit: def random_jpeg_quality()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 1
number of parameters: 6

id: 1929
unit: def _generate()
file: research/object_detection/anchor_generators/flexible_grid_anchor_generator.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 6
number of parameters: 4

id: 1930
unit: def __init__()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 2
number of parameters: 7

id: 1931
unit: def get_estimator_eval_metric_ops()
file: research/object_detection/utils/visualization_utils.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 5
number of parameters: 2

id: 1932
unit: def get_label_map_dict()
file: research/object_detection/utils/label_map_util.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 13
number of parameters: 3

id: 1933
unit: def compute_average_precision()
file: research/object_detection/utils/metrics.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 16
number of parameters: 2

id: 1934
unit: def __init__()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 7
number of parameters: 3

id: 1935
unit: def _compute_per_instance_deepmac_losses()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 2
number of parameters: 6

id: 1936
unit: def _first_inverted_res_block()
file: research/object_detection/models/keras_models/base_models/original_mobilenet_v2.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 3
number of parameters: 5

id: 1937
unit: def __init__()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 2
number of parameters: 12

id: 1938
unit: def _extract_proposal_features()
file: research/object_detection/models/faster_rcnn_resnet_v1_feature_extractor.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 4
number of parameters: 3

id: 1939
unit: def build()
file: research/object_detection/models/ssd_mobilenet_v2_keras_feature_extractor.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 3
number of parameters: 2

id: 1940
unit: def extract_features()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 1
number of parameters: 2

id: 1941
unit: def _get_init_fn()
file: research/slim/train_image_classifier.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 3
number of parameters: 0

id: 1942
unit: def _find_image_files()
file: research/slim/datasets/build_imagenet_data.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 8
number of parameters: 2

id: 1943
unit: def convert_audio_and_split_transcript()
file: research/deep_speech/data/download.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 6
number of parameters: 5

id: 1944
unit: def _decoder_with_concat_merge()
file: research/deeplab/model.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 2
number of parameters: 5

id: 1945
unit: def get_model_init_fn()
file: research/deeplab/utils/train_utils.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 5
number of parameters: 5

id: 1946
unit: def vggish_definer()
file: research/audioset/vggish/vggish_export_tfhub.py
start line: 0
end line: 0
size: 28 LOC
McCabe index: 1
number of parameters: 2

id: 1947
unit: def get_activation()
file: official/modeling/tf_utils.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 5
number of parameters: 2

id: 1948
unit: def call()
file: official/vision/beta/modeling/layers/nn_blocks.py
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end line: 0
size: 27 LOC
McCabe index: 10
number of parameters: 3

id: 1949
unit: def build()
file: official/vision/beta/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 2
number of parameters: 2

id: 1950
unit: def build()
file: official/vision/beta/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 1
number of parameters: 2

id: 1951
unit: def __init__()
file: official/vision/beta/modeling/layers/roi_generator.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 1
number of parameters: 13

id: 1952
unit: def __init__()
file: official/vision/beta/modeling/retinanet_model.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 1
number of parameters: 11

id: 1953
unit: def bbox_annotations_to_feature_dict()
file: official/vision/beta/data/create_coco_tf_record.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 2
number of parameters: 5

id: 1954
unit: def _parse_eval_data()
file: official/vision/beta/dataloaders/segmentation_input.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 4
number of parameters: 2

id: 1955
unit: def __init__()
file: official/vision/beta/dataloaders/tf_example_decoder.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 3
number of parameters: 4

id: 1956
unit: def bbox_overlap()
file: official/vision/beta/ops/box_ops.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 3
number of parameters: 2

id: 1957
unit: def __init__()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 3
number of parameters: 7

id: 1958
unit: def _gather_batched()
file: official/vision/beta/ops/target_gather.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 4
number of parameters: 5

id: 1959
unit: def _parse_single_example()
file: official/vision/beta/evaluation/coco_utils.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 3
number of parameters: 2

id: 1960
unit: def assign_center_targets()
file: official/vision/beta/projects/centernet/ops/target_assigner.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 1
number of parameters: 8

id: 1961
unit: def build()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 3
number of parameters: 2

id: 1962
unit: def _tiled_global_box_search()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 7
number of parameters: 8

id: 1963
unit: def main()
file: official/vision/beta/projects/video_ssl/train.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 7
number of parameters: 1

id: 1964
unit: def __call__()
file: official/recommendation/ranking/common.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 2
number of parameters: 2

id: 1965
unit: def _build_pretrainer()
file: official/projects/teams/teams_task.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 3
number of parameters: 1

id: 1966
unit: def validation_step()
file: official/projects/yt8m/tasks/yt8m_task.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 5
number of parameters: 4

id: 1967
unit: def realign_answer_span()
file: official/projects/triviaqa/preprocess.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 13
number of parameters: 4

id: 1968
unit: def call()
file: official/projects/nhnet/decoder.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 5
number of parameters: 5

id: 1969
unit: def __init__()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 1
number of parameters: 9

id: 1970
unit: def call()
file: official/legacy/detection/modeling/architecture/heads.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 5
number of parameters: 4

id: 1971
unit: def init_from_files()
file: official/legacy/transformer/utils/tokenizer.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 4
number of parameters: 9

id: 1972
unit: def _count_tokens()
file: official/legacy/transformer/utils/tokenizer.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 8
number of parameters: 4

id: 1973
unit: def __init__()
file: official/legacy/bert/configs.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 1
number of parameters: 14

id: 1974
unit: def train_step()
file: official/legacy/image_classification/resnet/resnet_runnable.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 5
number of parameters: 2

id: 1975
unit: def parse_example_proto()
file: official/legacy/image_classification/resnet/imagenet_preprocessing.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 2
number of parameters: 1

id: 1976
unit: def _build_attention()
file: official/nlp/modeling/layers/talking_heads_attention.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 2
number of parameters: 2

id: 1977
unit: def call()
file: official/nlp/modeling/layers/attention.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 6
number of parameters: 8

id: 1978
unit: def __init__()
file: official/nlp/modeling/ops/sampling_module.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 1
number of parameters: 14

id: 1979
unit: def _compute_segment_matrix()
file: official/nlp/modeling/networks/xlnet_base.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 3
number of parameters: 4

id: 1980
unit: def build()
file: official/nlp/modeling/networks/packed_sequence_embedding.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 7
number of parameters: 2

id: 1981
unit: def generate_squad_dataset()
file: official/nlp/data/create_finetuning_data.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 2
number of parameters: 0

id: 1982
unit: def call()
file: official/nlp/xlnet/xlnet_modeling.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 5
number of parameters: 2

id: 1983
unit: def __init__()
file: official/nlp/xlnet/xlnet_config.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 1
number of parameters: 14

id: 1984
unit: def _build_pretrainer()
file: official/nlp/tasks/electra_task.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 4
number of parameters: 1

id: 1985
unit: def build_inference_for_training()
file: research/vid2depth/model.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 7
number of parameters: 1

id: 1986
unit: def reset_rewards()
file: research/efficient-hrl/context/rewards_functions.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 3
number of parameters: 10

id: 1987
unit: def state_rewards()
file: research/efficient-hrl/context/rewards_functions.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 3
number of parameters: 10

id: 1988
unit: def evaluate_checkpoint_repeatedly()
file: research/efficient-hrl/utils/eval_utils.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 6
number of parameters: 6

id: 1989
unit: def fc()
file: research/autoaugment/custom_ops.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 2
number of parameters: 4

id: 1990
unit: explicit SequenceStringProjectionOpV2()
file: research/seq_flow_lite/tf_ops/sequence_string_projection_op_v2.cc
start line: 48
end line: 79
size: 27 LOC
McCabe index: 4
number of parameters: 1

id: 1991
unit: def main()
file: research/cvt_text/cvt.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 3
number of parameters: 0

id: 1992
unit: def classifier_graph()
file: research/adversarial_text/graphs.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 2
number of parameters: 1

id: 1993
unit: def main()
file: research/delf/delf/python/training/model/export_global_model.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 6
number of parameters: 1

id: 1994
unit: def __init__()
file: research/delf/delf/python/training/model/delf_model.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 2
number of parameters: 10

id: 1995
unit: def _insert_fixed_quant_op()
file: research/lstm_object_detection/builders/graph_rewriter_builder.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 8
number of parameters: 7

id: 1996
unit: bool MobileSSDTfLiteClient::ComputeOutputSize()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 332
end line: 367
size: 27 LOC
McCabe index: 5
number of parameters: 0

id: 1997
unit: def main()
file: research/attention_ocr/python/eval.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 2
number of parameters: 1

id: 1998
unit: def object_detection_proto_to_params()
file: research/object_detection/builders/model_builder.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 3
number of parameters: 1

id: 1999
unit: def sample_boxes_by_jittering()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 1
number of parameters: 4

id: 2000
unit: def resize_to_min_dimension()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 3
number of parameters: 4

id: 2001
unit: def resize_to_max_dimension()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 3
number of parameters: 4

id: 2002
unit: def __init__()
file: research/object_detection/matchers/argmax_matcher.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 7
number of parameters: 6

id: 2003
unit: def pad_or_clip_nd()
file: research/object_detection/utils/shape_utils.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 8
number of parameters: 2

id: 2004
unit: def ravel_indices()
file: research/object_detection/utils/spatial_transform_ops.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 1
number of parameters: 6

id: 2005
unit: def add_single_detected_image_info()
file: research/object_detection/utils/vrd_evaluation.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 7
number of parameters: 3

id: 2006
unit: def evaluate()
file: research/object_detection/utils/vrd_evaluation.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 4
number of parameters: 2

id: 2007
unit: def concatenate()
file: research/object_detection/utils/np_box_list_ops.py
start line: 0
end line: 0
size: 27 LOC
McCabe index: 12
number of parameters: 2

id: 2008
unit: def compute_floor_offsets_with_indices()
file: research/object_detection/utils/target_assigner_utils.py
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end line: 0
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unit: def _compute_is_class_correctly_detected_in_image()
file: research/object_detection/utils/per_image_evaluation.py
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size: 27 LOC
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number of parameters: 6

id: 2010
unit: def eager_train_step()
file: research/object_detection/model_lib_v2.py
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size: 27 LOC
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number of parameters: 9

id: 2011
unit: def infer_detections_and_add_to_example()
file: research/object_detection/inference/detection_inference.py
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end line: 0
size: 27 LOC
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number of parameters: 5

id: 2012
unit: def _get_second_stage_box_predictor()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
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number of parameters: 7

id: 2013
unit: def __init__()
file: research/object_detection/dataset_tools/context_rcnn/add_context_to_examples.py
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size: 27 LOC
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number of parameters: 5

id: 2014
unit: def Conv2D()
file: research/object_detection/models/keras_models/mobilenet_v2.py
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size: 27 LOC
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number of parameters: 3

id: 2015
unit: def extract_features()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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size: 27 LOC
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number of parameters: 2

id: 2016
unit: def __init__()
file: research/object_detection/models/ssd_mobilenet_v3_feature_extractor.py
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size: 27 LOC
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number of parameters: 13

id: 2017
unit: def _verify_config()
file: research/object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor.py
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size: 27 LOC
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number of parameters: 2

id: 2018
unit: def resnet_v1_50()
file: research/slim/nets/resnet_v1.py
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size: 27 LOC
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number of parameters: 11

id: 2019
unit: def resnet_v1_101()
file: research/slim/nets/resnet_v1.py
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size: 27 LOC
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number of parameters: 11

id: 2020
unit: def resnet_v1_152()
file: research/slim/nets/resnet_v1.py
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size: 27 LOC
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number of parameters: 11

id: 2021
unit: def resnet_v1_200()
file: research/slim/nets/resnet_v1.py
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size: 27 LOC
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number of parameters: 11

id: 2022
unit: def _stacked_separable_conv()
file: research/slim/nets/nasnet/nasnet_utils.py
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size: 27 LOC
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number of parameters: 5

id: 2023
unit: def check_model()
file: research/audioset/yamnet/export.py
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size: 27 LOC
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number of parameters: 3

id: 2024
unit: def make_tf2_export()
file: research/audioset/yamnet/export.py
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size: 27 LOC
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number of parameters: 2

id: 2025
unit: def _set()
file: official/modeling/hyperparams/base_config.py
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size: 26 LOC
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number of parameters: 3

id: 2026
unit: def call()
file: official/vision/beta/modeling/layers/nn_blocks_3d.py
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size: 26 LOC
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number of parameters: 3

id: 2027
unit: def _compute_buffered_causal_padding()
file: official/vision/beta/modeling/layers/nn_layers.py
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size: 26 LOC
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number of parameters: 4

id: 2028
unit: def build_classification_model()
file: official/vision/beta/modeling/factory.py
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size: 26 LOC
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number of parameters: 5

id: 2029
unit: def _resample_feature_map()
file: official/vision/beta/modeling/decoders/nasfpn.py
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size: 26 LOC
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number of parameters: 5

id: 2030
unit: def __init__()
file: official/vision/beta/dataloaders/input_reader.py
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number of parameters: 15

id: 2031
unit: def _generate_boxes()
file: official/vision/beta/ops/anchor.py
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size: 26 LOC
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number of parameters: 1

id: 2032
unit: def _convert_angles_to_transform()
file: official/vision/beta/ops/augment.py
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size: 26 LOC
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number of parameters: 3

id: 2033
unit: def _shear_bbox()
file: official/vision/beta/ops/augment.py
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size: 26 LOC
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number of parameters: 5

id: 2034
unit: def call()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/maskrcnn_model.py
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size: 26 LOC
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number of parameters: 9

id: 2035
unit: def _build_convnet_variant()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/instance_heads.py
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size: 26 LOC
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number of parameters: 1

id: 2036
unit: def nms()
file: official/vision/beta/projects/centernet/ops/nms_ops.py
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size: 26 LOC
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number of parameters: 8

id: 2037
unit: def load_weights()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_classes.py
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size: 26 LOC
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number of parameters: 2

id: 2038
unit: def build()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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size: 26 LOC
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number of parameters: 2

id: 2039
unit: def _mixup()
file: official/vision/beta/projects/yolo/ops/mosaic.py
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size: 26 LOC
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number of parameters: 3

id: 2040
unit: def boxes_candidates()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
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size: 26 LOC
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number of parameters: 5

id: 2041
unit: def build_attribute_loss()
file: official/vision/beta/tasks/retinanet.py
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size: 26 LOC
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number of parameters: 7

id: 2042
unit: def build_metrics()
file: official/vision/beta/tasks/maskrcnn.py
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size: 26 LOC
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number of parameters: 2

id: 2043
unit: def build_inputs()
file: official/vision/beta/tasks/semantic_segmentation.py
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size: 26 LOC
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number of parameters: 3

id: 2044
unit: def sample_boxes_by_jittering()
file: official/vision/utils/object_detection/box_list_ops.py
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size: 26 LOC
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number of parameters: 4

id: 2045
unit: def _create_regression_targets()
file: official/vision/utils/object_detection/target_assigner.py
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number of parameters: 4

id: 2046
unit: def main()
file: official/projects/movinet/train.py
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number of parameters: 1

id: 2047
unit: def batch_fn()
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number of parameters: 3

id: 2048
unit: def evaluate()
file: official/projects/basnet/evaluation/metrics.py
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number of parameters: 1

id: 2049
unit: def get_oracle_score()
file: official/projects/triviaqa/evaluation.py
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size: 26 LOC
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number of parameters: 4

id: 2050
unit: def get_input_dataset()
file: official/projects/nhnet/input_pipeline.py
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size: 26 LOC
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number of parameters: 5

id: 2051
unit: def autoseg_edgetpu_backbone_base()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
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size: 26 LOC
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number of parameters: 10

id: 2052
unit: def build_inputs()
file: official/projects/edgetpu/vision/tasks/semantic_segmentation.py
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number of parameters: 3

id: 2053
unit: def build_inputs()
file: official/projects/edgetpu/vision/tasks/semantic_segmentation.py
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number of parameters: 3

id: 2054
unit: def __init__()
file: official/legacy/detection/modeling/maskrcnn_model.py
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number of parameters: 2

id: 2055
unit: def evaluator_generator()
file: official/legacy/detection/evaluation/factory.py
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number of parameters: 1

id: 2056
unit: def decode()
file: official/legacy/transformer/transformer.py
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number of parameters: 5

id: 2057
unit: def get_callbacks()
file: official/legacy/image_classification/resnet/common.py
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number of parameters: 3

id: 2058
unit: def _convert_angles_to_transform()
file: official/legacy/image_classification/augment.py
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number of parameters: 3

id: 2059
unit: def cutout()
file: official/legacy/image_classification/augment.py
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number of parameters: 3

id: 2060
unit: def level_to_arg()
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number of parameters: 2

id: 2061
unit: def _compute_attention()
file: official/nlp/modeling/layers/bigbird_attention.py
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number of parameters: 5

id: 2062
unit: def _convert_single_example()
file: official/nlp/data/tagging_data_lib.py
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number of parameters: 3

id: 2063
unit: def main()
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number of parameters: 1

id: 2064
unit: def __init__()
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number of parameters: 6

id: 2065
unit: def parse_files_to_dataset()
file: official/nlp/xlnet/data_utils.py
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number of parameters: 5

id: 2066
unit: def reset()
file: research/efficient-hrl/context/context.py
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number of parameters: 5

id: 2067
unit: def _get_obs()
file: research/efficient-hrl/environments/ant.py
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number of parameters: 1

id: 2068
unit: TfLiteStatus DefaultLayerNormFloat()
file: research/seq_flow_lite/tflite_ops/layer_norm.cc
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number of parameters: 4

id: 2069
unit: def CreateDataset()
file: research/delf/delf/python/datasets/google_landmarks_dataset/googlelandmarks.py
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number of parameters: 5

id: 2070
unit: def CreateConfigForTestDataset()
file: research/delf/delf/python/datasets/revisited_op/dataset.py
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number of parameters: 2

id: 2071
unit: def _get_clean_train_image_files_and_labels()
file: research/delf/delf/python/training/build_image_dataset.py
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number of parameters: 2

id: 2072
unit: def main()
file: research/delf/delf/python/training/model/export_CNN_global.py
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number of parameters: 1

id: 2073
unit: def restore_weights()
file: research/delf/delf/python/training/model/resnet50.py
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id: 2074
unit: def main()
file: research/lstm_object_detection/export_tflite_lstd_model.py
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number of parameters: 1

id: 2075
unit: def _create_losses()
file: research/lstm_object_detection/trainer.py
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number of parameters: 3

id: 2076
unit: def create_lstm_cell()
file: research/lstm_object_detection/models/lstm_ssd_interleaved_mobilenet_v2_feature_extractor.py
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id: 2077
unit: def build()
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number of parameters: 3

id: 2078
unit: def convert_label_map_to_categories()
file: research/cognitive_planning/label_map_util.py
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number of parameters: 3

id: 2079
unit: def convert_actions_to_env()
file: research/pcl_rl/env_spec.py
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size: 26 LOC
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number of parameters: 2

id: 2080
unit: def train_epoch()
file: research/lfads/lfads.py
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number of parameters: 4

id: 2081
unit: def generate_tfexample_image()
file: research/attention_ocr/python/model_export_lib.py
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number of parameters: 5

id: 2082
unit: def __init__()
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number of parameters: 8

id: 2083
unit: def _process_config()
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number of parameters: 2

id: 2084
unit: def _expand_image_label_hierarchy()
file: research/object_detection/data_decoders/tf_example_decoder.py
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number of parameters: 3

id: 2085
unit: def object_center_proto_to_params()
file: research/object_detection/builders/model_builder.py
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number of parameters: 1

id: 2086
unit: def _build_non_max_suppressor()
file: research/object_detection/builders/post_processing_builder.py
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number of parameters: 1

id: 2087
unit: def __call__()
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number of parameters: 7

id: 2088
unit: def policy_v2()
file: research/object_detection/utils/autoaugment_utils.py
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number of parameters: 0

id: 2089
unit: def _check_and_convert_legacy_input_config_key()
file: research/object_detection/utils/config_util.py
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number of parameters: 1

id: 2090
unit: def __init__()
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number of parameters: 13

id: 2091
unit: def _sample_box_classifier_minibatch_single_image()
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number of parameters: 6

id: 2092
unit: def loss()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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number of parameters: 4

id: 2093
unit: def _download_data()
file: research/object_detection/dataset_tools/create_ava_actions_tf_record.py
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McCabe index: 3
number of parameters: 1

id: 2094
unit: def extract_features()
file: research/object_detection/models/ssd_mobilenet_v1_ppn_feature_extractor.py
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number of parameters: 2

id: 2095
unit: def extract_features()
file: research/object_detection/models/ssd_inception_v2_feature_extractor.py
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number of parameters: 2

id: 2096
unit: def call()
file: research/object_detection/models/feature_map_generators.py
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McCabe index: 7
number of parameters: 2

id: 2097
unit: def _extract_box_classifier_features()
file: research/object_detection/models/faster_rcnn_mobilenet_v1_feature_extractor.py
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size: 26 LOC
McCabe index: 2
number of parameters: 3

id: 2098
unit: def _add_to_tfrecord()
file: research/slim/datasets/download_and_convert_cifar10.py
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size: 26 LOC
McCabe index: 3
number of parameters: 3

id: 2099
unit: def create_readable_names_for_imagenet_labels()
file: research/slim/datasets/imagenet.py
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size: 26 LOC
McCabe index: 4
number of parameters: 0

id: 2100
unit: def _process_image_files()
file: research/slim/datasets/build_imagenet_data.py
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number of parameters: 7

id: 2101
unit: def preprocess_image()
file: research/slim/preprocessing/inception_preprocessing.py
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number of parameters: 9

id: 2102
unit: def i3d_arg_scope()
file: research/slim/nets/i3d.py
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number of parameters: 5

id: 2103
unit: def training_scope()
file: research/slim/nets/mobilenet/mobilenet.py
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McCabe index: 4
number of parameters: 5

id: 2104
unit: def cyclegan_upsample()
file: research/slim/nets/cyclegan.py
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size: 26 LOC
McCabe index: 8
number of parameters: 6

id: 2105
unit: def _gather_clone_loss()
file: research/slim/deployment/model_deploy.py
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McCabe index: 8
number of parameters: 3

id: 2106
unit: def variables_device()
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McCabe index: 6
number of parameters: 1

id: 2107
unit: def split_separable_conv2d()
file: research/deeplab/core/utils.py
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number of parameters: 8

id: 2108
unit: def lite_bottleneck()
file: research/deeplab/core/resnet_v1_beta.py
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number of parameters: 7

id: 2109
unit: def build_resnet()
file: official/vision/beta/modeling/backbones/resnet.py
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number of parameters: 4

id: 2110
unit: def block_spec_decoder()
file: official/vision/beta/modeling/backbones/mobiledet.py
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McCabe index: 6
number of parameters: 4

id: 2111
unit: def label_anchors()
file: official/vision/beta/ops/anchor.py
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McCabe index: 5
number of parameters: 4

id: 2112
unit: def _apply_bbox_augmentation()
file: official/vision/beta/ops/augment.py
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size: 25 LOC
McCabe index: 2
number of parameters: 4

id: 2113
unit: def _make_tf_policies()
file: official/vision/beta/ops/augment.py
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McCabe index: 7
number of parameters: 1

id: 2114
unit: def __init__()
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id: 2115
unit: def _cutmix()
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McCabe index: 1
number of parameters: 3

id: 2116
unit: def create_distribution_strategy()
file: official/vision/beta/train_spatial_partitioning.py
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number of parameters: 4

id: 2117
unit: def update_state()
file: official/vision/beta/evaluation/coco_evaluator.py
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size: 25 LOC
McCabe index: 11
number of parameters: 3

id: 2118
unit: def reduce_aggregated_logs()
file: official/vision/beta/projects/panoptic_maskrcnn/tasks/panoptic_maskrcnn.py
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size: 25 LOC
McCabe index: 8
number of parameters: 3

id: 2119
unit: def main()
file: official/vision/beta/projects/deepmac_maskrcnn/serving/export_saved_model.py
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size: 25 LOC
McCabe index: 6
number of parameters: 1

id: 2120
unit: def _get_anchor_id()
file: official/vision/beta/projects/yolo/ops/anchor.py
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number of parameters: 8

id: 2121
unit: def build_metrics()
file: official/vision/beta/projects/yolo/tasks/yolo.py
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McCabe index: 5
number of parameters: 2

id: 2122
unit: def create_optimizer()
file: official/vision/beta/projects/yolo/tasks/yolo.py
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size: 25 LOC
McCabe index: 5
number of parameters: 3

id: 2123
unit: def build_video_ssl_pretrain_model()
file: official/vision/beta/projects/video_ssl/modeling/video_ssl_model.py
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size: 25 LOC
McCabe index: 1
number of parameters: 4

id: 2124
unit: def __init__()
file: official/vision/beta/projects/simclr/modeling/multitask_model.py
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number of parameters: 3

id: 2125
unit: def build_inputs()
file: official/vision/beta/projects/simclr/tasks/simclr.py
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id: 2126
unit: def build_metrics()
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id: 2127
unit: def __init__()
file: official/vision/beta/projects/simclr/heads/simclr_head.py
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id: 2128
unit: def _create_regression_targets()
file: official/vision/utils/object_detection/target_assigner.py
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size: 25 LOC
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id: 2129
unit: def _get_estimator_spec_with_metrics()
file: official/recommendation/neumf_model.py
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size: 25 LOC
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id: 2130
unit: def _get_fake_data()
file: official/projects/teams/teams_pretrainer.py
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id: 2131
unit: def post_fn()
file: official/projects/yt8m/dataloaders/yt8m_input.py
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size: 25 LOC
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id: 2132
unit: def roformer_pretraining()
file: official/projects/roformer/roformer_experiments.py
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id: 2133
unit: def get_optimizer()
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id: 2134
unit: def _pad_to_multiple()
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id: 2135
unit: def _greedy_assignment()
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id: 2136
unit: def mobilenet_edgetpu_v2_tiny()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
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id: 2137
unit: def config_override()
file: official/projects/edgetpu/nlp/utils/utils.py
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id: 2138
unit: def bottleneck_block()
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id: 2139
unit: def create_model()
file: official/legacy/transformer/transformer.py
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id: 2140
unit: def normalize_images()
file: official/legacy/image_classification/preprocessing.py
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id: 2141
unit: def _get_metrics()
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id: 2142
unit: def update_weights()
file: official/nlp/modeling/layers/spectral_normalization.py
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id: 2143
unit: def get_train_examples()
file: official/nlp/data/classifier_data_lib.py
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id: 2144
unit: def get_dev_examples()
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id: 2145
unit: def build()
file: official/nlp/xlnet/xlnet_modeling.py
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unit: def call()
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id: 2147
unit: def process_feature()
file: official/nlp/xlnet/squad_utils.py
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id: 2148
unit: def get_squad_input_data()
file: official/nlp/xlnet/data_utils.py
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id: 2149
unit: def _local_perm()
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id: 2150
unit: def convert_checkpoint()
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id: 2151
unit: def write_superglue_classification()
file: official/nlp/finetuning/binary_helper.py
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id: 2152
unit: def write_question_answering()
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id: 2153
unit: def evaluate()
file: orbit/controller.py
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id: 2154
unit: def compile_file_list()
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id: 2155
unit: def timer_context_fn()
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id: 2156
unit: def __init__()
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unit: def add_noise_fn()
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id: 2158
unit: def gather_nstep()
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id: 2159
unit: def next_batch()
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id: 2161
unit: def set_output_quantized_for_custom_ops()
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id: 2162
unit: std::string ContractToken()
file: research/seq_flow_lite/tf_ops/projection_normalizer_util.cc
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id: 2163
unit: std::vector GetHashCodes()
file: research/seq_flow_lite/tf_ops/projection_util.cc
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id: 2164
unit: def extract_global_descriptors_from_list()
file: research/delf/delf/python/training/model/global_model.py
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id: 2165
unit: bool MobileSSDTfLiteClient::InitializeInterpreter()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
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id: 2166
unit: std::vector RemovePadding()
file: research/lstm_object_detection/tflite/utils/conversion_utils.cc
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id: 2167
unit: def random_step_sequence()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
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id: 2168
unit: def benchmark()
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id: 2169
unit: def get()
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id: 2170
unit: def get_kl()
file: research/pcl_rl/policy.py
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id: 2171
unit: def run_epoch()
file: research/lfads/lfads.py
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id: 2172
unit: def _predict()
file: research/object_detection/predictors/convolutional_keras_box_predictor.py
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id: 2173
unit: def __init__()
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id: 2174
unit: def predict()
file: research/object_detection/predictors/heads/box_head.py
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id: 2175
unit: def _predict()
file: research/object_detection/predictors/heads/keras_class_head.py
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id: 2176
unit: def __init__()
file: research/object_detection/metrics/coco_evaluation.py
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id: 2177
unit: def build_hard_example_miner()
file: research/object_detection/builders/losses_builder.py
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id: 2178
unit: def build_faster_rcnn_classification_loss()
file: research/object_detection/builders/losses_builder.py
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id: 2179
unit: def _clip_window_prune_boxes()
file: research/object_detection/core/post_processing.py
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id: 2180
unit: def _compute_loss()
file: research/object_detection/core/losses.py
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id: 2181
unit: def _compute_loss()
file: research/object_detection/core/losses.py
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id: 2182
unit: def _create_regression_targets()
file: research/object_detection/core/target_assigner.py
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id: 2183
unit: def add_single_detected_image_info()
file: research/object_detection/utils/object_detection_evaluation.py
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id: 2184
unit: def _coordinates_to_heatmap_sparse()
file: research/object_detection/utils/target_assigner_utils.py
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id: 2185
unit: def build()
file: research/object_detection/utils/bifpn_utils.py
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id: 2186
unit: def _compute_losses_and_predictions_dicts()
file: research/object_detection/model_lib_v2.py
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id: 2187
unit: def _compute_track_embedding_loss()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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id: 2188
unit: def _aggregate_classification_loss()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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id: 2189
unit: def filter_annotations()
file: research/object_detection/dataset_tools/create_kitti_tf_record.py
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id: 2190
unit: def parse_args()
file: research/object_detection/dataset_tools/context_rcnn/create_cococameratraps_tfexample_main.py
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id: 2191
unit: def _inverted_res_block()
file: research/object_detection/models/keras_models/base_models/original_mobilenet_v2.py
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id: 2192
unit: def __init__()
file: research/object_detection/models/ssd_mobilenet_edgetpu_feature_extractor.py
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id: 2193
unit: def _build_pnasnet_base()
file: research/object_detection/models/faster_rcnn_pnas_feature_extractor.py
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id: 2194
unit: def __init__()
file: research/object_detection/models/ssd_mobilenet_v3_feature_extractor.py
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id: 2195
unit: def __init__()
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id: 2196
unit: def extract_features()
file: research/object_detection/models/ssd_inception_v3_feature_extractor.py
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id: 2197
unit: def test_extract_features_returns_correct_shapes_with_min_depth()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py
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id: 2198
unit: def get_box_classifier_feature_extractor_model()
file: research/object_detection/models/faster_rcnn_resnet_keras_feature_extractor.py
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id: 2199
unit: def _get_mobilenet_conv_no_last_stride_defs()
file: research/object_detection/models/faster_rcnn_mobilenet_v1_feature_extractor.py
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id: 2200
unit: def run()
file: research/slim/datasets/download_and_convert_cifar10.py
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id: 2201
unit: def _convert_dataset()
file: research/slim/datasets/download_and_convert_flowers.py
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id: 2202
unit: def resnet_arg_scope()
file: research/slim/nets/resnet_utils.py
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id: 2203
unit: def __init__()
file: research/slim/deployment/model_deploy.py
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id: 2204
unit: def conv2d_same()
file: research/deeplab/core/conv2d_ws.py
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id: 2205
unit: def xception_65()
file: research/deeplab/core/xception.py
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id: 2206
unit: def xception_71()
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id: 2207
unit: def mobilenet_v3_large_seg()
file: research/deeplab/core/feature_extractor.py
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id: 2208
unit: def mobilenet_v3_small_seg()
file: research/deeplab/core/feature_extractor.py
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id: 2209
unit: def detailed_results()
file: research/deeplab/evaluation/panoptic_quality.py
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unit: def __init__()
file: official/modeling/optimization/lars_optimizer.py
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unit: def build()
file: official/vision/beta/modeling/layers/nn_layers.py
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id: 2212
unit: def _block_group()
file: official/vision/beta/modeling/backbones/revnet.py
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id: 2213
unit: def call()
file: official/vision/beta/modeling/maskrcnn_model.py
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unit: def __init__()
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id: 2215
unit: def decode()
file: official/vision/beta/projects/panoptic_maskrcnn/dataloaders/panoptic_maskrcnn_input.py
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id: 2216
unit: def _make_repeated_residual_blocks()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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id: 2217
unit: def _create_centernet_model()
file: official/vision/beta/projects/centernet/utils/tf2_centernet_checkpoint_converter.py
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id: 2218
unit: def validation_step()
file: official/vision/beta/projects/centernet/tasks/centernet.py
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id: 2219
unit: def train_step()
file: official/vision/beta/projects/example/example_task.py
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id: 2220
unit: def build_yolo_detection_generator()
file: official/vision/beta/projects/yolo/modeling/factory.py
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id: 2221
unit: def _apply()
file: official/vision/beta/projects/yolo/ops/mosaic.py
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unit: def validation_step()
file: official/vision/beta/projects/yolo/tasks/yolo.py
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file: official/vision/beta/projects/simclr/modeling/simclr_model.py
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id: 2225
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file: official/vision/beta/projects/simclr/multitask_train.py
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id: 2226
unit: def initialize()
file: official/vision/beta/projects/simclr/tasks/simclr.py
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id: 2227
unit: def build_metrics()
file: official/vision/beta/tasks/semantic_segmentation.py
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id: 2228
unit: def get_actual_mask_scores()
file: official/vision/beta/losses/segmentation_losses.py
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id: 2230
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file: official/core/actions.py
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id: 2231
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file: official/common/distribute_utils.py
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id: 2232
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file: official/recommendation/ncf_input_pipeline.py
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id: 2233
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file: official/projects/vit/modeling/vit.py
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id: 2234
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file: official/projects/movinet/modeling/movinet_model.py
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unit: def build()
file: official/projects/movinet/modeling/movinet_layers.py
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file: official/projects/teams/teams_pretrainer.py
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unit: def sample_k_from_softmax()
file: official/projects/teams/teams_pretrainer.py
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id: 2238
unit: def yt8m_experiment()
file: official/projects/yt8m/configs/yt8m.py
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unit: def __init__()
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file: official/projects/basnet/modeling/basnet_model.py
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file: official/projects/basnet/tasks/basnet.py
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id: 2245
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id: 2250
unit: def build_losses()
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id: 2251
unit: def build_model_for_serving()
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unit: def __init__()
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unit: def __call__()
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unit: def __call__()
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unit: def __call__()
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id: 2257
unit: def box_matching()
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id: 2258
unit: def _parse_single_example()
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unit: def build_stats()
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id: 2260
unit: def define_classifier_flags()
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id: 2261
unit: def distort()
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unit: def __init__()
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id: 2266
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id: 2268
unit: def token_classification_meta_data()
file: official/nlp/data/tagging_data_lib.py
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id: 2269
unit: def process_feature()
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id: 2271
unit: def _decode()
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id: 2272
unit: def build()
file: official/nlp/xlnet/xlnet_modeling.py
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unit: def _local_perm()
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id: 2274
unit: def reduce_aggregated_logs()
file: official/nlp/tasks/translation.py
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id: 2275
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id: 2276
unit: def get_inference_signatures()
file: official/nlp/serving/serving_modules.py
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id: 2277
unit: def create_tf_while_loop_fn_with_state()
file: orbit/utils/loop_fns.py
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id: 2278
unit: def main()
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id: 2279
unit: def __init__()
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id: 2280
unit: def gen_debug_td_error_summaries()
file: research/efficient-hrl/agents/ddpg_agent.py
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id: 2281
unit: def batch_norm()
file: research/autoaugment/custom_ops.py
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unit: def get_minibatches()
file: research/cvt_text/corpus_processing/minibatching.py
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id: 2283
unit: def _make_minibatch()
file: research/cvt_text/corpus_processing/minibatching.py
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id: 2284
unit: def _summarize_vars_and_grads()
file: research/adversarial_text/layers.py
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id: 2285
unit: def rcv1_documents()
file: research/adversarial_text/data/document_generators.py
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id: 2286
unit: def ComputeSimilarity()
file: research/delf/delf/python/feature_aggregation_similarity.py
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id: 2287
unit: def __init__()
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unit: def __init__()
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unit: def _create_transformation()
file: research/rebar/rebar.py
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id: 2290
unit: def add_single_detected_image_info()
file: research/lstm_object_detection/metrics/coco_evaluation_all_frames.py
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id: 2291
unit: bool MobileSSDTfLiteClient::CheckOutputSizes()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
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id: 2292
unit: void DecodeBoxCornerBoxes()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
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unit: def __init__()
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id: 2294
unit: def read_all_poses()
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id: 2295
unit: def __init__()
file: research/cognitive_planning/tasks.py
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id: 2296
unit: def trust_region_step()
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unit: def add()
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id: 2298
unit: def main()
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id: 2299
unit: def augment_image()
file: research/attention_ocr/python/data_provider.py
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unit: def __init__()
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unit: def predict()
file: research/object_detection/predictors/heads/box_head.py
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id: 2302
unit: def predict()
file: research/object_detection/predictors/heads/mask_head.py
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id: 2303
unit: def postprocess_implements_signature()
file: research/object_detection/export_tflite_graph_lib_tf2.py
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id: 2304
unit: def build_groundtruth_vrd_dictionary()
file: research/object_detection/metrics/oid_vrd_challenge_evaluation_utils.py
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id: 2305
unit: def ExportDetectionsToCOCO()
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id: 2306
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file: research/object_detection/metrics/coco_evaluation.py
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file: research/object_detection/metrics/coco_evaluation.py
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id: 2308
unit: def random_absolute_pad_image()
file: research/object_detection/core/preprocessor.py
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id: 2309
unit: def policy_v1()
file: research/object_detection/utils/autoaugment_utils.py
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file: research/object_detection/utils/vrd_evaluation.py
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id: 2311
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file: research/object_detection/utils/learning_schedules.py
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id: 2312
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id: 2313
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file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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id: 2315
unit: def resnet_v1_18()
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id: 2316
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file: research/object_detection/models/ssd_resnet_v1_fpn_keras_feature_extractor.py
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file: official/legacy/detection/modeling/architecture/heads.py
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size: 23 LOC
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number of parameters: 9

id: 2362
unit: def build_loss_fn()
file: official/legacy/detection/modeling/retinanet_model.py
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size: 23 LOC
McCabe index: 2
number of parameters: 1

id: 2363
unit: def _run_evaluation()
file: official/legacy/detection/executor/detection_executor.py
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size: 23 LOC
McCabe index: 7
number of parameters: 5

id: 2364
unit: def call()
file: official/legacy/detection/ops/postprocess_ops.py
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end line: 0
size: 23 LOC
McCabe index: 4
number of parameters: 5

id: 2365
unit: def update()
file: official/legacy/detection/evaluation/coco_evaluator.py
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size: 23 LOC
McCabe index: 11
number of parameters: 3

id: 2366
unit: def bbox_overlap()
file: official/legacy/detection/utils/box_utils.py
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end line: 0
size: 23 LOC
McCabe index: 2
number of parameters: 2

id: 2367
unit: def predict_squad()
file: official/legacy/bert/run_squad_helper.py
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end line: 0
size: 23 LOC
McCabe index: 5
number of parameters: 6

id: 2368
unit: def preprocess()
file: official/legacy/image_classification/dataset_factory.py
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size: 23 LOC
McCabe index: 3
number of parameters: 3

id: 2369
unit: def _get_dataset_builders()
file: official/legacy/image_classification/classifier_trainer.py
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size: 23 LOC
McCabe index: 7
number of parameters: 3

id: 2370
unit: def __init__()
file: official/nlp/modeling/layers/position_embedding.py
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size: 23 LOC
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number of parameters: 7

id: 2371
unit: def _build_proj_equation()
file: official/nlp/modeling/layers/relative_attention.py
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size: 23 LOC
McCabe index: 4
number of parameters: 3

id: 2372
unit: def _init_token_ids()
file: official/nlp/modeling/layers/text_layers.py
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size: 23 LOC
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number of parameters: 6

id: 2373
unit: def _build_proj_equation()
file: official/nlp/modeling/layers/reuse_attention.py
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size: 23 LOC
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number of parameters: 3

id: 2374
unit: def sample_top_p()
file: official/nlp/modeling/ops/sampling_module.py
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size: 23 LOC
McCabe index: 1
number of parameters: 2

id: 2375
unit: def __init__()
file: official/nlp/modeling/models/seq2seq_transformer.py
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size: 23 LOC
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number of parameters: 12

id: 2376
unit: def __init__()
file: official/nlp/modeling/models/seq2seq_transformer.py
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size: 23 LOC
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number of parameters: 12

id: 2377
unit: def _relative_position_bucket()
file: official/nlp/modeling/models/t5.py
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size: 23 LOC
McCabe index: 2
number of parameters: 4

id: 2378
unit: def _process_tfds_params_str()
file: official/nlp/data/classifier_data_lib.py
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size: 23 LOC
McCabe index: 4
number of parameters: 2

id: 2379
unit: def get_dev_examples()
file: official/nlp/data/classifier_data_lib.py
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size: 23 LOC
McCabe index: 5
number of parameters: 2

id: 2380
unit: def generate_regression_dataset()
file: official/nlp/data/create_finetuning_data.py
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end line: 0
size: 23 LOC
McCabe index: 3
number of parameters: 0

id: 2381
unit: def __init__()
file: official/nlp/data/sentence_prediction_dataloader.py
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size: 23 LOC
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number of parameters: 2

id: 2382
unit: def __init__()
file: official/nlp/data/dual_encoder_dataloader.py
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size: 23 LOC
McCabe index: 4
number of parameters: 2

id: 2383
unit: def format_filename()
file: official/nlp/xlnet/preprocess_pretrain_data.py
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end line: 0
size: 23 LOC
McCabe index: 5
number of parameters: 10

id: 2384
unit: def _online_sample_masks()
file: official/nlp/xlnet/data_utils.py
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end line: 0
size: 23 LOC
McCabe index: 5
number of parameters: 5

id: 2385
unit: def encode_pieces()
file: official/nlp/tools/tokenization.py
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end line: 0
size: 23 LOC
McCabe index: 11
number of parameters: 3

id: 2386
unit: def predict()
file: official/nlp/tasks/question_answering.py
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end line: 0
size: 23 LOC
McCabe index: 1
number of parameters: 3

id: 2387
unit: def build_model()
file: official/nlp/tasks/sentence_prediction.py
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end line: 0
size: 23 LOC
McCabe index: 5
number of parameters: 1

id: 2388
unit: def _write_submission_file()
file: official/nlp/finetuning/superglue/run_superglue.py
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end line: 0
size: 23 LOC
McCabe index: 1
number of parameters: 2

id: 2389
unit: def evaluate()
file: orbit/standard_runner.py
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end line: 0
size: 23 LOC
McCabe index: 9
number of parameters: 2

id: 2390
unit: def inverse_warp()
file: research/vid2depth/project.py
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size: 23 LOC
McCabe index: 2
number of parameters: 5

id: 2391
unit: def __init__()
file: research/vid2depth/dataset/dataset_loader.py
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size: 23 LOC
McCabe index: 2
number of parameters: 7

id: 2392
unit: def collect_train_frames()
file: research/vid2depth/dataset/dataset_loader.py
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size: 23 LOC
McCabe index: 9
number of parameters: 1

id: 2393
unit: def actor_loss()
file: research/efficient-hrl/agents/ddpg_agent.py
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size: 23 LOC
McCabe index: 4
number of parameters: 2

id: 2394
unit: def eval_child_model()
file: research/autoaugment/helper_utils.py
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size: 23 LOC
McCabe index: 4
number of parameters: 4

id: 2395
unit: TfLiteStatus Resize()
file: research/seq_flow_lite/tflite_ops/expected_value.cc
start line: 62
end line: 92
size: 23 LOC
McCabe index: 2
number of parameters: 2

id: 2396
unit: TfLiteStatus Resize()
file: research/seq_flow_lite/tflite_ops/layer_norm.cc
start line: 35
end line: 59
size: 23 LOC
McCabe index: 3
number of parameters: 2

id: 2397
unit: def build()
file: research/seq_flow_lite/layers/normalization_layers.py
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end line: 0
size: 23 LOC
McCabe index: 1
number of parameters: 2

id: 2398
unit: def __init__()
file: research/seq_flow_lite/layers/projection_layers.py
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size: 23 LOC
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number of parameters: 4

id: 2399
unit: def call()
file: research/seq_flow_lite/layers/projection_layers.py
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size: 23 LOC
McCabe index: 3
number of parameters: 2

id: 2400
unit: def __init__()
file: research/seq_flow_lite/layers/qrnn_layers.py
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size: 23 LOC
McCabe index: 3
number of parameters: 9

id: 2401
unit: void SplitBySpaceInternal()
file: research/seq_flow_lite/tf_ops/projection_util.cc
start line: 339
end line: 363
size: 23 LOC
McCabe index: 11
number of parameters: 5

id: 2402
unit: std::string TextDistorter::DistortText()
file: research/seq_flow_lite/tf_ops/text_distorter.cc
start line: 21
end line: 49
size: 23 LOC
McCabe index: 7
number of parameters: 1

id: 2403
unit: def get_unlabeled_sentences()
file: research/cvt_text/corpus_processing/unlabeled_data.py
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end line: 0
size: 23 LOC
McCabe index: 9
number of parameters: 1

id: 2404
unit: def get_labeled_sentences()
file: research/cvt_text/task_specific/word_level/word_level_data.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 7
number of parameters: 2

id: 2405
unit: def tokens()
file: research/adversarial_text/data/document_generators.py
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size: 23 LOC
McCabe index: 12
number of parameters: 1

id: 2406
unit: def _filenames_for_data_spec()
file: research/adversarial_text/inputs.py
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size: 23 LOC
McCabe index: 2
number of parameters: 4

id: 2407
unit: def eval_graph()
file: research/adversarial_text/graphs.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 2
number of parameters: 2

id: 2408
unit: def ArraysToDelfFeatures()
file: research/delf/delf/python/feature_io.py
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end line: 0
size: 23 LOC
McCabe index: 3
number of parameters: 5

id: 2409
unit: void MobileSSDTfLiteClient::SetZeroPointsAndScaleFactors()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 242
end line: 272
size: 23 LOC
McCabe index: 3
number of parameters: 1

id: 2410
unit: def create_eval_ops()
file: research/cognitive_planning/train_supervised_active_vision.py
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size: 23 LOC
McCabe index: 4
number of parameters: 3

id: 2411
unit: def main()
file: research/cognitive_planning/viz_active_vision_dataset_main.py
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size: 23 LOC
McCabe index: 7
number of parameters: 1

id: 2412
unit: def episode()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 23 LOC
McCabe index: 5
number of parameters: 1

id: 2413
unit: def reward()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 23 LOC
McCabe index: 7
number of parameters: 4

id: 2414
unit: def convert_to_batched_episodes()
file: research/pcl_rl/controller.py
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size: 23 LOC
McCabe index: 8
number of parameters: 3

id: 2415
unit: def get_values()
file: research/pcl_rl/baseline.py
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end line: 0
size: 23 LOC
McCabe index: 1
number of parameters: 5

id: 2416
unit: def write_model_runs()
file: research/lfads/lfads.py
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end line: 0
size: 23 LOC
McCabe index: 5
number of parameters: 4

id: 2417
unit: def sequence_accuracy()
file: research/attention_ocr/python/metrics.py
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end line: 0
size: 23 LOC
McCabe index: 2
number of parameters: 4

id: 2418
unit: def predict()
file: research/object_detection/predictors/heads/keypoint_head.py
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end line: 0
size: 23 LOC
McCabe index: 3
number of parameters: 3

id: 2419
unit: def predict()
file: research/object_detection/predictors/heads/class_head.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 3
number of parameters: 3

id: 2420
unit: def run_inference()
file: research/object_detection/tpu_exporters/export_saved_model_tpu_lib.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 3
number of parameters: 6

id: 2421
unit: def match_single_image_info()
file: research/object_detection/metrics/calibration_evaluation.py
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end line: 0
size: 23 LOC
McCabe index: 1
number of parameters: 2

id: 2422
unit: def evaluate()
file: research/object_detection/metrics/coco_evaluation.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 3
number of parameters: 1

id: 2423
unit: def __init__()
file: research/object_detection/builders/hyperparams_builder.py
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end line: 0
size: 23 LOC
McCabe index: 6
number of parameters: 2

id: 2424
unit: def tile_anchors()
file: research/object_detection/anchor_generators/grid_anchor_generator.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 1
number of parameters: 7

id: 2425
unit: def annotate()
file: research/object_detection/utils/colab_utils.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 6
number of parameters: 4

id: 2426
unit: def compute_precision_recall()
file: research/object_detection/utils/metrics.py
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end line: 0
size: 23 LOC
McCabe index: 10
number of parameters: 3

id: 2427
unit: def _ensure_model_is_built()
file: research/object_detection/model_lib_v2.py
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end line: 0
size: 23 LOC
McCabe index: 2
number of parameters: 3

id: 2428
unit: def regressed_keypoints_at_object_centers()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 23 LOC
McCabe index: 3
number of parameters: 3

id: 2429
unit: def _normalize_and_clip_boxes()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 23 LOC
McCabe index: 3
number of parameters: 2

id: 2430
unit: def expand_labels_from_csv()
file: research/object_detection/dataset_tools/oid_hierarchical_labels_expansion.py
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end line: 0
size: 23 LOC
McCabe index: 4
number of parameters: 4

id: 2431
unit: def __init__()
file: research/object_detection/models/ssd_mobilenet_v1_feature_extractor.py
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end line: 0
size: 23 LOC
McCabe index: 1
number of parameters: 11

id: 2432
unit: def __init__()
file: research/object_detection/models/ssd_pnasnet_feature_extractor.py
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end line: 0
size: 23 LOC
McCabe index: 1
number of parameters: 11

id: 2433
unit: def __init__()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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end line: 0
size: 23 LOC
McCabe index: 1
number of parameters: 11

id: 2434
unit: def __init__()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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size: 23 LOC
McCabe index: 1
number of parameters: 11

id: 2435
unit: def __init__()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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size: 23 LOC
McCabe index: 1
number of parameters: 11

id: 2436
unit: def __init__()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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size: 23 LOC
McCabe index: 1
number of parameters: 11

id: 2437
unit: def __init__()
file: research/object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py
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size: 23 LOC
McCabe index: 1
number of parameters: 10

id: 2438
unit: def __init__()
file: research/object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py
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end line: 0
size: 23 LOC
McCabe index: 1
number of parameters: 10

id: 2439
unit: def __init__()
file: research/object_detection/models/ssd_mobilenet_v2_feature_extractor.py
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end line: 0
size: 23 LOC
McCabe index: 1
number of parameters: 11

id: 2440
unit: def _extract_proposal_features()
file: research/object_detection/models/faster_rcnn_mobilenet_v1_feature_extractor.py
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size: 23 LOC
McCabe index: 2
number of parameters: 3

id: 2441
unit: def run()
file: research/slim/datasets/download_and_convert_flowers.py
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end line: 0
size: 23 LOC
McCabe index: 5
number of parameters: 1

id: 2442
unit: def _build_bounding_box_lookup()
file: research/slim/datasets/build_imagenet_data.py
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end line: 0
size: 23 LOC
McCabe index: 4
number of parameters: 1

id: 2443
unit: def preprocess_for_train()
file: research/slim/preprocessing/cifarnet_preprocessing.py
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end line: 0
size: 23 LOC
McCabe index: 6
number of parameters: 6

id: 2444
unit: def block_inception_c()
file: research/slim/nets/inception_v4.py
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end line: 0
size: 23 LOC
McCabe index: 2
number of parameters: 3

id: 2445
unit: def _mobilenet_v2()
file: research/deeplab/core/feature_extractor.py
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end line: 0
size: 23 LOC
McCabe index: 6
number of parameters: 8

id: 2446
unit: def _mobilenet_v3()
file: research/deeplab/core/feature_extractor.py
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end line: 0
size: 23 LOC
McCabe index: 3
number of parameters: 8

id: 2447
unit: def save_annotation()
file: research/deeplab/utils/save_annotation.py
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size: 23 LOC
McCabe index: 6
number of parameters: 7

id: 2448
unit: def _import_config()
file: official/modeling/hyperparams/base_config.py
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size: 22 LOC
McCabe index: 8
number of parameters: 3

id: 2449
unit: def __call__()
file: official/modeling/optimization/lr_schedule.py
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size: 22 LOC
McCabe index: 5
number of parameters: 2

id: 2450
unit: def call()
file: official/vision/beta/modeling/layers/box_sampler.py
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size: 22 LOC
McCabe index: 2
number of parameters: 4

id: 2451
unit: def main()
file: official/vision/beta/train.py
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size: 22 LOC
McCabe index: 6
number of parameters: 1

id: 2452
unit: def video_classification_kinetics400()
file: official/vision/beta/configs/video_classification.py
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size: 22 LOC
McCabe index: 1
number of parameters: 0

id: 2453
unit: def video_classification_kinetics600()
file: official/vision/beta/configs/video_classification.py
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size: 22 LOC
McCabe index: 1
number of parameters: 0

id: 2454
unit: def video_classification_kinetics700()
file: official/vision/beta/configs/video_classification.py
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size: 22 LOC
McCabe index: 1
number of parameters: 0

id: 2455
unit: def video_classification_kinetics700_2020()
file: official/vision/beta/configs/video_classification.py
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size: 22 LOC
McCabe index: 1
number of parameters: 0

id: 2456
unit: def _get_pixel()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/paste_masks.py
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size: 22 LOC
McCabe index: 2
number of parameters: 4

id: 2457
unit: def build_hourglass()
file: official/vision/beta/projects/centernet/modeling/backbones/hourglass.py
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size: 22 LOC
McCabe index: 1
number of parameters: 4

id: 2458
unit: def main()
file: official/vision/beta/projects/centernet/train.py
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size: 22 LOC
McCabe index: 6
number of parameters: 1

id: 2459
unit: def clip_to_window()
file: official/vision/beta/projects/centernet/ops/box_list_ops.py
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size: 22 LOC
McCabe index: 2
number of parameters: 3

id: 2460
unit: def load_weights_backbone()
file: official/vision/beta/projects/centernet/utils/checkpoints/load_weights.py
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size: 22 LOC
McCabe index: 4
number of parameters: 3

id: 2461
unit: def __post_init__()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_classes.py
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size: 22 LOC
McCabe index: 2
number of parameters: 1

id: 2462
unit: def __init__()
file: official/vision/beta/projects/example/example_model.py
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size: 22 LOC
McCabe index: 1
number of parameters: 6

id: 2463
unit: def _build_regular()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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size: 22 LOC
McCabe index: 3
number of parameters: 3

id: 2464
unit: def initialize()
file: official/vision/beta/projects/yolo/tasks/yolo.py
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size: 22 LOC
McCabe index: 6
number of parameters: 2

id: 2465
unit: def color_jitter_nonrand()
file: official/vision/beta/projects/video_ssl/ops/video_ssl_preprocess_ops.py
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size: 22 LOC
McCabe index: 9
number of parameters: 5

id: 2466
unit: def gaussian_blur()
file: official/vision/beta/projects/video_ssl/ops/video_ssl_preprocess_ops.py
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size: 22 LOC
McCabe index: 4
number of parameters: 4

id: 2467
unit: def main()
file: official/vision/beta/projects/simclr/train.py
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size: 22 LOC
McCabe index: 6
number of parameters: 1

id: 2468
unit: def gaussian_blur()
file: official/vision/beta/projects/simclr/dataloaders/preprocess_ops.py
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size: 22 LOC
McCabe index: 4
number of parameters: 4

id: 2469
unit: def _parse_one_train_image()
file: official/vision/beta/projects/simclr/dataloaders/simclr_input.py
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size: 22 LOC
McCabe index: 7
number of parameters: 2

id: 2470
unit: def parse_image()
file: official/vision/beta/serving/export_utils.py
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size: 22 LOC
McCabe index: 3
number of parameters: 4

id: 2471
unit: def pad_or_clip_nd()
file: official/vision/utils/object_detection/shape_utils.py
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size: 22 LOC
McCabe index: 8
number of parameters: 2

id: 2472
unit: def refine_boxes_multi_class()
file: official/vision/utils/object_detection/box_list_ops.py
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size: 22 LOC
McCabe index: 7
number of parameters: 5

id: 2473
unit: def _compute_new_static_size()
file: official/vision/utils/object_detection/preprocessor.py
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size: 22 LOC
McCabe index: 6
number of parameters: 3

id: 2474
unit: def _get_eval_batch()
file: official/recommendation/data_pipeline.py
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size: 22 LOC
McCabe index: 1
number of parameters: 2

id: 2475
unit: def call()
file: official/projects/movinet/modeling/movinet_layers.py
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McCabe index: 15
number of parameters: 3

id: 2476
unit: def __init__()
file: official/projects/movinet/modeling/movinet_layers.py
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size: 22 LOC
McCabe index: 2
number of parameters: 8

id: 2477
unit: def get_config()
file: official/projects/movinet/modeling/movinet_layers.py
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size: 22 LOC
McCabe index: 1
number of parameters: 1

id: 2478
unit: def call()
file: official/projects/teams/teams_pretrainer.py
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McCabe index: 3
number of parameters: 4

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id: 2486
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id: 2507
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id: 2508
unit: def generate_retrieval_dataset()
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id: 2509
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file: official/nlp/tasks/translation.py
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id: 2512
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file: official/nlp/serving/export_savedmodel.py
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unit: def get_inference_signatures()
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id: 2517
unit: def write_tagging()
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id: 2518
unit: def run_training()
file: research/vid2depth/ops/icp_train_demo.py
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file: research/vid2depth/dataset/dataset_loader.py
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id: 2520
unit: def _gen_example()
file: research/vid2depth/dataset/gen_data.py
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unit: def maybe_add()
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id: 2526
unit: virtual TfLiteStatus PreprocessInput()
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unit: std::pair MurmurHash128()
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id: 2531
unit: def cl_loss_from_embedding()
file: research/adversarial_text/graphs.py
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id: 2532
unit: def classifier_graph()
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unit: def virtual_adversarial_loss()
file: research/adversarial_text/adversarial_losses.py
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id: 2534
unit: def GlobalAveragePrecision()
file: research/delf/delf/python/datasets/google_landmarks_dataset/metrics.py
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file: research/lstm_object_detection/metrics/coco_evaluation_all_frames.py
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unit: bool MobileLSTDTfLiteClient::FloatInference()
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unit: bool MobileLSTDTfLiteClient::QuantizedInference()
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unit: def build_predictions_vrd_dictionary()
file: research/object_detection/metrics/oid_vrd_challenge_evaluation_utils.py
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file: research/object_detection/metrics/oid_challenge_evaluation_utils.py
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file: research/object_detection/core/box_list_ops.py
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file: research/object_detection/core/box_list_ops.py
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id: 2554
unit: def batch_iou()
file: research/object_detection/core/post_processing.py
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unit: def __init__()
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file: research/object_detection/core/batcher.py
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file: research/object_detection/utils/ops.py
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file: research/object_detection/utils/visualization_utils.py
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file: research/object_detection/utils/visualization_utils.py
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id: 2562
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file: research/object_detection/utils/bifpn_utils.py
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file: research/object_detection/inference/detection_inference.py
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file: research/object_detection/meta_architectures/ssd_meta_arch.py
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file: research/object_detection/meta_architectures/context_rcnn_lib.py
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file: research/object_detection/models/keras_models/nonlocal_block.py
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file: research/object_detection/models/faster_rcnn_pnas_feature_extractor.py
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file: research/object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py
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id: 2575
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file: research/object_detection/models/faster_rcnn_nas_feature_extractor.py
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id: 2577
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id: 2578
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file: research/slim/preprocessing/inception_preprocessing.py
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id: 2579
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file: research/slim/nets/mobilenet_v1_train.py
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file: research/slim/nets/resnet_v2.py
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file: research/slim/nets/post_training_quantization.py
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file: research/deep_speech/deep_speech_model.py
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file: research/deeplab/model.py
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file: research/deeplab/core/xception.py
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file: research/audioset/vggish/vggish_train_demo.py
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file: research/audioset/yamnet/yamnet.py
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file: official/vision/beta/modeling/factory_3d.py
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file: official/vision/beta/modeling/layers/nn_blocks.py
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file: official/vision/beta/modeling/layers/detection_generator.py
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id: 2598
unit: def build()
file: official/vision/beta/modeling/backbones/mobilenet.py
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size: 21 LOC
McCabe index: 4
number of parameters: 2

id: 2599
unit: def build()
file: official/vision/beta/modeling/decoders/aspp.py
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size: 21 LOC
McCabe index: 3
number of parameters: 2

id: 2600
unit: def __init__()
file: official/vision/beta/ops/anchor_generator.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 5
number of parameters: 6

id: 2601
unit: def random_crop_image_v2()
file: official/vision/beta/ops/preprocess_ops.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 1
number of parameters: 4

id: 2602
unit: def resize_and_crop_masks()
file: official/vision/beta/ops/preprocess_ops.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 1
number of parameters: 4

id: 2603
unit: def jitter_boxes()
file: official/vision/beta/ops/box_ops.py
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end line: 0
size: 21 LOC
McCabe index: 2
number of parameters: 2

id: 2604
unit: def box_matching()
file: official/vision/beta/ops/box_ops.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 3
number of parameters: 3

id: 2605
unit: def _convert_translation_to_transform()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 4
number of parameters: 1

id: 2606
unit: def get_2d_detection_default_config()
file: official/vision/beta/evaluation/wod_detection_evaluator.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 2
number of parameters: 0

id: 2607
unit: def __init__()
file: official/vision/beta/projects/centernet/modeling/layers/detection_generator.py
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end line: 0
size: 21 LOC
McCabe index: 2
number of parameters: 11

id: 2608
unit: def get_config()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 1
number of parameters: 1

id: 2609
unit: def build_yolo()
file: official/vision/beta/projects/yolo/modeling/factory.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 1
number of parameters: 3

id: 2610
unit: def compute_diou()
file: official/vision/beta/projects/yolo/ops/box_ops.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 2
number of parameters: 4

id: 2611
unit: def initialize()
file: official/vision/beta/tasks/retinanet.py
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end line: 0
size: 21 LOC
McCabe index: 6
number of parameters: 2

id: 2612
unit: def initialize()
file: official/vision/beta/tasks/maskrcnn.py
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size: 21 LOC
McCabe index: 6
number of parameters: 2

id: 2613
unit: def validation_step()
file: official/vision/beta/tasks/video_classification.py
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end line: 0
size: 21 LOC
McCabe index: 6
number of parameters: 5

id: 2614
unit: def initialize()
file: official/vision/beta/tasks/semantic_segmentation.py
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end line: 0
size: 21 LOC
McCabe index: 6
number of parameters: 2

id: 2615
unit: def main()
file: official/vision/beta/serving/export_tflite.py
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size: 21 LOC
McCabe index: 4
number of parameters: 1

id: 2616
unit: def serve()
file: official/vision/beta/serving/semantic_segmentation.py
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end line: 0
size: 21 LOC
McCabe index: 3
number of parameters: 2

id: 2617
unit: def add_cdf_image_summary()
file: official/vision/utils/object_detection/visualization_utils.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 1
number of parameters: 2

id: 2618
unit: def run_synthetic()
file: official/utils/testing/integration.py
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size: 21 LOC
McCabe index: 6
number of parameters: 6

id: 2619
unit: def get_inputs()
file: official/recommendation/ncf_common.py
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end line: 0
size: 21 LOC
McCabe index: 5
number of parameters: 1

id: 2620
unit: def __init__()
file: official/recommendation/data_pipeline.py
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size: 21 LOC
McCabe index: 1
number of parameters: 0

id: 2621
unit: def normalize_tuple()
file: official/projects/movinet/modeling/movinet_layers.py
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end line: 0
size: 21 LOC
McCabe index: 6
number of parameters: 5

id: 2622
unit: def accumulate()
file: official/projects/yt8m/eval_utils/average_precision_calculator.py
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end line: 0
size: 21 LOC
McCabe index: 10
number of parameters: 4

id: 2623
unit: def initialize()
file: official/projects/basnet/tasks/basnet.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 6
number of parameters: 2

id: 2624
unit: def call()
file: official/projects/roformer/roformer_attention.py
start line: 0
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size: 21 LOC
McCabe index: 4
number of parameters: 7

id: 2625
unit: def _build_pretrainer()
file: official/projects/mobilebert/distillation.py
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size: 21 LOC
McCabe index: 3
number of parameters: 3

id: 2626
unit: def read_model_config()
file: official/projects/triviaqa/train.py
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size: 21 LOC
McCabe index: 5
number of parameters: 3

id: 2627
unit: def make_example()
file: official/projects/triviaqa/preprocess.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 4
number of parameters: 2

id: 2628
unit: def _compute_cost()
file: official/projects/detr/tasks/detection.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 1
number of parameters: 5

id: 2629
unit: def create_nhnet_model()
file: official/projects/nhnet/models.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 3
number of parameters: 3

id: 2630
unit: def initialize()
file: official/projects/volumetric_models/tasks/semantic_segmentation_3d.py
start line: 0
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size: 21 LOC
McCabe index: 6
number of parameters: 2

id: 2631
unit: def __init__()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
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size: 21 LOC
McCabe index: 3
number of parameters: 11

id: 2632
unit: def call()
file: official/projects/edgetpu/vision/modeling/custom_layers.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 5
number of parameters: 3

id: 2633
unit: def preprocess_for_quantization()
file: official/projects/edgetpu/vision/serving/export_util.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 1
number of parameters: 3

id: 2634
unit: def residual_block()
file: official/legacy/detection/modeling/architecture/resnet.py
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end line: 0
size: 21 LOC
McCabe index: 3
number of parameters: 6

id: 2635
unit: def call()
file: official/legacy/detection/ops/roi_ops.py
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end line: 0
size: 21 LOC
McCabe index: 6
number of parameters: 6

id: 2636
unit: def call()
file: official/legacy/transformer/transformer.py
start line: 0
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size: 21 LOC
McCabe index: 11
number of parameters: 3

id: 2637
unit: def get_eval_metrics()
file: official/legacy/transformer/utils/metrics.py
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size: 21 LOC
McCabe index: 3
number of parameters: 3

id: 2638
unit: def get_dataset_fn()
file: official/legacy/bert/run_classifier.py
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size: 21 LOC
McCabe index: 2
number of parameters: 7

id: 2639
unit: def _add_metrics()
file: official/legacy/bert/bert_models.py
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size: 21 LOC
McCabe index: 3
number of parameters: 8

id: 2640
unit: def __init__()
file: official/legacy/image_classification/resnet/common.py
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size: 21 LOC
McCabe index: 4
number of parameters: 8

id: 2641
unit: def initialize()
file: official/legacy/image_classification/classifier_trainer.py
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size: 21 LOC
McCabe index: 6
number of parameters: 2

id: 2642
unit: def _convert_translation_to_transform()
file: official/legacy/image_classification/augment.py
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end line: 0
size: 21 LOC
McCabe index: 4
number of parameters: 1

id: 2643
unit: def __init__()
file: official/nlp/modeling/layers/text_layers.py
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size: 21 LOC
McCabe index: 2
number of parameters: 9

id: 2644
unit: def _continue_search()
file: official/nlp/modeling/ops/beam_search.py
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end line: 0
size: 21 LOC
McCabe index: 3
number of parameters: 2

id: 2645
unit: def _pool_and_concat()
file: official/nlp/modeling/networks/funnel_transformer.py
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end line: 0
size: 21 LOC
McCabe index: 6
number of parameters: 6

id: 2646
unit: def _create_truncated_avg_masks()
file: official/nlp/modeling/networks/funnel_transformer.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 3
number of parameters: 3

id: 2647
unit: def __init__()
file: official/nlp/modeling/models/t5.py
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size: 21 LOC
McCabe index: 1
number of parameters: 8

id: 2648
unit: def __call__()
file: official/nlp/modeling/models/t5.py
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size: 21 LOC
McCabe index: 2
number of parameters: 7

id: 2649
unit: def write_example_to_file()
file: official/nlp/data/tagging_data_lib.py
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end line: 0
size: 21 LOC
McCabe index: 4
number of parameters: 5

id: 2650
unit: def call()
file: official/nlp/xlnet/xlnet_modeling.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 4
number of parameters: 11

id: 2651
unit: def export_preprocessing()
file: official/nlp/tools/export_tfhub_lib.py
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end line: 0
size: 21 LOC
McCabe index: 4
number of parameters: 8

id: 2652
unit: def serve_examples()
file: official/nlp/serving/serving_modules.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 4
number of parameters: 2

id: 2653
unit: def tanh_similarity()
file: research/efficient-hrl/context/rewards_functions.py
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end line: 0
size: 21 LOC
McCabe index: 2
number of parameters: 9

id: 2654
unit: def _periodically()
file: research/efficient-hrl/utils/utils.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 5
number of parameters: 3

id: 2655
unit: std::string ProjectionNormalizer::NormalizeInternal()
file: research/seq_flow_lite/tf_ops/projection_normalizer_util.cc
start line: 109
end line: 129
size: 21 LOC
McCabe index: 10
number of parameters: 2

id: 2656
unit: void ProjectionUnicodeHandler::InitializeVocabulary()
file: research/seq_flow_lite/tf_ops/projection_util.cc
start line: 302
end line: 323
size: 21 LOC
McCabe index: 7
number of parameters: 1

id: 2657
unit: def main()
file: research/seq_flow_lite/models/sgnn/run_tflite.py
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end line: 0
size: 21 LOC
McCabe index: 3
number of parameters: 1

id: 2658
unit: def _get_unidirectional_reprs()
file: research/cvt_text/model/encoder.py
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size: 21 LOC
McCabe index: 2
number of parameters: 2

id: 2659
unit: def __init__()
file: research/cvt_text/training/training_progress.py
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size: 21 LOC
McCabe index: 3
number of parameters: 6

id: 2660
unit: def __init__()
file: research/adversarial_text/graphs.py
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size: 21 LOC
McCabe index: 3
number of parameters: 2

id: 2661
unit: def create_model()
file: research/delf/delf/python/training/train.py
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size: 21 LOC
McCabe index: 2
number of parameters: 1

id: 2662
unit: def __init__()
file: research/delf/delf/python/training/model/export_global_model.py
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size: 21 LOC
McCabe index: 4
number of parameters: 7

id: 2663
unit: def get_simple_muprop_gradient()
file: research/rebar/rebar.py
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end line: 0
size: 21 LOC
McCabe index: 1
number of parameters: 1

id: 2664
unit: bool MobileSSDTfLiteClient::SetBatchSize()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 537
end line: 560
size: 21 LOC
McCabe index: 5
number of parameters: 1

id: 2665
unit: bool GenerateSsdAnchors()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
start line: 422
end line: 442
size: 21 LOC
McCabe index: 2
number of parameters: 7

id: 2666
unit: def quantize_op()
file: research/lstm_object_detection/lstm/utils.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 3
number of parameters: 7

id: 2667
unit: def select_inputs()
file: research/lstm_object_detection/lstm/rnn_decoder.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 5
number of parameters: 6

id: 2668
unit: def extract_base_features_small()
file: research/lstm_object_detection/models/lstm_ssd_interleaved_mobilenet_v2_feature_extractor.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 3
number of parameters: 2

id: 2669
unit: def __init__()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
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end line: 0
size: 21 LOC
McCabe index: 1
number of parameters: 0

id: 2670
unit: def _build_lstm()
file: research/cognitive_planning/policies.py
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size: 21 LOC
McCabe index: 6
number of parameters: 5

id: 2671
unit: def _pad_or_clip_array()
file: research/cognitive_planning/tasks.py
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size: 21 LOC
McCabe index: 6
number of parameters: 4

id: 2672
unit: def setup()
file: research/pcl_rl/trust_region.py
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size: 21 LOC
McCabe index: 5
number of parameters: 5

id: 2673
unit: def self_kl()
file: research/pcl_rl/policy.py
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size: 21 LOC
McCabe index: 3
number of parameters: 5

id: 2674
unit: def write_data()
file: research/lfads/utils.py
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size: 21 LOC
McCabe index: 6
number of parameters: 4

id: 2675
unit: def shuffle_spikes_in_time()
file: research/lfads/lfads.py
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end line: 0
size: 21 LOC
McCabe index: 6
number of parameters: 2

id: 2676
unit: def create_logits()
file: research/attention_ocr/python/sequence_layers.py
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end line: 0
size: 21 LOC
McCabe index: 2
number of parameters: 1

id: 2677
unit: def _insert_additional_projection_layer()
file: research/object_detection/predictors/convolutional_box_predictor.py
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end line: 0
size: 21 LOC
McCabe index: 4
number of parameters: 4

id: 2678
unit: def run_inference_from_saved_model()
file: research/object_detection/tpu_exporters/export_saved_model_tpu_lib.py
start line: 0
end line: 0
size: 21 LOC
McCabe index: 3
number of parameters: 4

id: 2679
unit: def mask_proto_to_params()
file: research/object_detection/builders/model_builder.py
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end line: 0
size: 21 LOC
McCabe index: 2
number of parameters: 1

id: 2680
unit: def build()
file: research/object_detection/builders/matcher_builder.py
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end line: 0
size: 21 LOC
McCabe index: 6
number of parameters: 1

id: 2681
unit: def add_eval_dict()
file: research/object_detection/utils/object_detection_evaluation.py
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size: 21 LOC
McCabe index: 5
number of parameters: 2

id: 2682
unit: def __init__()
file: research/object_detection/utils/object_detection_evaluation.py
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size: 21 LOC
McCabe index: 3
number of parameters: 6

id: 2683
unit: def _coordinates_to_heatmap_dense()
file: research/object_detection/utils/target_assigner_utils.py
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end line: 0
size: 21 LOC
McCabe index: 2
number of parameters: 7

id: 2684
unit: def _get_overlaps_and_scores_mask_mode()
file: research/object_detection/utils/per_image_evaluation.py
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end line: 0
size: 21 LOC
McCabe index: 1
number of parameters: 7

id: 2685
unit: def get_evaluators()
file: research/object_detection/legacy/evaluator.py
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end line: 0
size: 21 LOC
McCabe index: 6
number of parameters: 2

id: 2686
unit: def _scatter_keypoints_to_batch()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 21 LOC
McCabe index: 4
number of parameters: 7

id: 2687
unit: def restore_from_objects()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 21 LOC
McCabe index: 5
number of parameters: 2

id: 2688
unit: def _batch_decode()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 21 LOC
McCabe index: 2
number of parameters: 3

id: 2689
unit: def project_features()
file: research/object_detection/meta_architectures/context_rcnn_lib.py
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end line: 0
size: 21 LOC
McCabe index: 2
number of parameters: 4

id: 2690
unit: def restore_map()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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size: 21 LOC
McCabe index: 5
number of parameters: 3

id: 2691
unit: def read_annotation_file()
file: research/object_detection/dataset_tools/create_kitti_tf_record.py
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size: 21 LOC
McCabe index: 17
number of parameters: 1

id: 2692
unit: def inception_resnet_v2()
file: research/object_detection/models/keras_models/inception_resnet_v2.py
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size: 21 LOC
McCabe index: 3
number of parameters: 8

id: 2693
unit: def call()
file: research/object_detection/models/bidirectional_feature_pyramid_generators.py
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size: 21 LOC
McCabe index: 4
number of parameters: 2

id: 2694
unit: def run()
file: research/slim/datasets/download_and_convert_mnist.py
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size: 21 LOC
McCabe index: 4
number of parameters: 1

id: 2695
unit: def lenet()
file: research/slim/nets/lenet.py
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size: 21 LOC
McCabe index: 2
number of parameters: 6

id: 2696
unit: def s3dg_arg_scope()
file: research/slim/nets/s3dg.py
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size: 21 LOC
McCabe index: 3
number of parameters: 3

id: 2697
unit: def block35()
file: research/slim/nets/inception_resnet_v2.py
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McCabe index: 3
number of parameters: 5

id: 2698
unit: def inception_resnet_v2_arg_scope()
file: research/slim/nets/inception_resnet_v2.py
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size: 21 LOC
McCabe index: 6
number of parameters: 6

id: 2699
unit: def _combine_unused_states()
file: research/slim/nets/nasnet/nasnet_utils.py
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size: 21 LOC
McCabe index: 9
number of parameters: 2

id: 2700
unit: def __init__()
file: research/slim/nets/nasnet/nasnet_utils.py
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size: 21 LOC
McCabe index: 1
number of parameters: 6

id: 2701
unit: def __init__()
file: research/slim/nets/nasnet/nasnet_utils.py
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size: 21 LOC
McCabe index: 1
number of parameters: 6

id: 2702
unit: def _build_aux_head()
file: research/slim/nets/nasnet/nasnet.py
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size: 21 LOC
McCabe index: 3
number of parameters: 5

id: 2703
unit: def _imagenet_stem()
file: research/slim/nets/nasnet/nasnet.py
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size: 21 LOC
McCabe index: 2
number of parameters: 4

id: 2704
unit: def _preprocess_for_quantization()
file: research/slim/nets/post_training_quantization.py
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size: 21 LOC
McCabe index: 1
number of parameters: 3

id: 2705
unit: def cyclegan_arg_scope()
file: research/slim/nets/cyclegan.py
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size: 21 LOC
McCabe index: 3
number of parameters: 5

id: 2706
unit: def center_initializer()
file: research/slim/nets/i3d_utils.py
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size: 21 LOC
McCabe index: 9
number of parameters: 0

id: 2707
unit: def block_inception_b()
file: research/slim/nets/inception_v4.py
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size: 21 LOC
McCabe index: 2
number of parameters: 3

id: 2708
unit: def _crop()
file: research/deeplab/core/preprocess_utils.py
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size: 21 LOC
McCabe index: 2
number of parameters: 5

id: 2709
unit: def main()
file: research/audioset/yamnet/inference.py
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size: 21 LOC
McCabe index: 8
number of parameters: 1

id: 2710
unit: def override_params_dict()
file: official/modeling/hyperparams/params_dict.py
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size: 20 LOC
McCabe index: 6
number of parameters: 3

id: 2711
unit: def _override()
file: official/modeling/hyperparams/base_config.py
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McCabe index: 9
number of parameters: 3

id: 2712
unit: def _filter_grads()
file: official/modeling/grad_utils.py
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size: 20 LOC
McCabe index: 8
number of parameters: 1

id: 2713
unit: def train_loop_end()
file: official/modeling/fast_training/progressive/trainer.py
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size: 20 LOC
McCabe index: 8
number of parameters: 1

id: 2714
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_blocks.py
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size: 20 LOC
McCabe index: 1
number of parameters: 1

id: 2715
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_blocks.py
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size: 20 LOC
McCabe index: 1
number of parameters: 1

id: 2716
unit: def get_config()
file: official/vision/beta/modeling/backbones/resnet.py
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size: 20 LOC
McCabe index: 1
number of parameters: 1

id: 2717
unit: def _build_endpoints()
file: official/vision/beta/modeling/backbones/spinenet_mobile.py
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size: 20 LOC
McCabe index: 2
number of parameters: 2

id: 2718
unit: def get_config()
file: official/vision/beta/modeling/backbones/spinenet_mobile.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 1

id: 2719
unit: def _build_endpoints()
file: official/vision/beta/modeling/backbones/spinenet.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 2

id: 2720
unit: def _load_panoptic_annotations()
file: official/vision/beta/data/create_coco_tf_record.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 5
number of parameters: 1

id: 2721
unit: def equalize()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 7
number of parameters: 1

id: 2722
unit: def _gather_unbatched()
file: official/vision/beta/ops/target_gather.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 3
number of parameters: 5

id: 2723
unit: def _convert_to_numpy()
file: official/vision/beta/evaluation/coco_evaluator.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 7
number of parameters: 3

id: 2724
unit: def _convert_to_numpy()
file: official/vision/beta/evaluation/panoptic_quality_evaluator.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 7
number of parameters: 3

id: 2725
unit: def get_weights()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_classes.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 3
number of parameters: 1

id: 2726
unit: def build()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 2

id: 2727
unit: def get_losses()
file: official/vision/beta/projects/yolo/modeling/layers/detection_generator.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 1

id: 2728
unit: def _tiny_stack()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 4

id: 2729
unit: def _coco91_to_80()
file: official/vision/beta/projects/yolo/dataloaders/tf_example_decoder.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 4

id: 2730
unit: def _parse_eval_data()
file: official/vision/beta/projects/yolo/dataloaders/yolo_input.py
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end line: 0
size: 20 LOC
McCabe index: 3
number of parameters: 2

id: 2731
unit: def build_grid()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 9
number of parameters: 6

id: 2732
unit: def train_step()
file: official/vision/beta/projects/yolo/tasks/yolo.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 8
number of parameters: 5

id: 2733
unit: def video_ssl_linear_eval_kinetics400()
file: official/vision/beta/projects/video_ssl/configs/video_ssl.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 0

id: 2734
unit: def video_ssl_linear_eval_kinetics600()
file: official/vision/beta/projects/video_ssl/configs/video_ssl.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 0

id: 2735
unit: def build_losses()
file: official/vision/beta/projects/video_ssl/tasks/pretrain.py
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end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 4

id: 2736
unit: def initialize()
file: official/vision/beta/projects/simclr/modeling/multitask_model.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 5
number of parameters: 1

id: 2737
unit: def _new_metric_is_better()
file: official/core/train_utils.py
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end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 3

id: 2738
unit: def __init__()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 7

id: 2739
unit: def construct_lookup_variables()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 1

id: 2740
unit: def build()
file: official/projects/movinet/modeling/movinet_layers.py
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end line: 0
size: 20 LOC
McCabe index: 3
number of parameters: 2

id: 2741
unit: def __call__()
file: official/projects/basnet/losses/basnet_losses.py
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end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 3

id: 2742
unit: def config_override()
file: official/projects/mobilebert/run_distillation.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 10
number of parameters: 2

id: 2743
unit: def _force_data_dependency()
file: official/projects/bigbird/recompute_grad.py
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end line: 0
size: 20 LOC
McCabe index: 7
number of parameters: 2

id: 2744
unit: def main()
file: official/projects/triviaqa/download_and_prepare.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 1

id: 2745
unit: def conv3d_same_padding()
file: official/projects/assemblenet/modeling/assemblenet.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 3
number of parameters: 6

id: 2746
unit: def build()
file: official/projects/assemblenet/modeling/assemblenet.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 2

id: 2747
unit: def flow_conv_stem()
file: official/projects/assemblenet/modeling/assemblenet.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 6

id: 2748
unit: def build()
file: official/projects/assemblenet/modeling/assemblenet_plus.py
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end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 2

id: 2749
unit: def build_assemblenet_plus_model()
file: official/projects/assemblenet/modeling/assemblenet_plus.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 4

id: 2750
unit: def build()
file: official/projects/detr/modeling/transformer.py
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end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 2

id: 2751
unit: def build()
file: official/projects/detr/modeling/transformer.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 2

id: 2752
unit: def __init__()
file: official/projects/nhnet/raw_data_processor.py
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end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 8

id: 2753
unit: def main()
file: official/projects/nhnet/raw_data_process.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 3
number of parameters: 1

id: 2754
unit: def build_unet3d()
file: official/projects/volumetric_models/modeling/backbones/unet_3d.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 4

id: 2755
unit: def __init__()
file: official/projects/volumetric_models/evaluation/segmentation_metrics.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 5
number of parameters: 6

id: 2756
unit: def update_state()
file: official/projects/volumetric_models/evaluation/segmentation_metrics.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 9
number of parameters: 3

id: 2757
unit: def build_metrics()
file: official/projects/volumetric_models/tasks/semantic_segmentation_3d.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 2

id: 2758
unit: def random_crop_image_v2()
file: official/projects/edgetpu/vision/dataloaders/classification_input.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 4

id: 2759
unit: def build_model()
file: official/projects/edgetpu/vision/tasks/image_classification.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 1

id: 2760
unit: def configure_tflite_converter()
file: official/projects/edgetpu/vision/serving/export_util.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 2

id: 2761
unit: def _build_attention_equation()
file: official/projects/edgetpu/nlp/modeling/edgetpu_layers.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 7
number of parameters: 2

id: 2762
unit: def __call__()
file: official/legacy/detection/modeling/architecture/heads.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 5

id: 2763
unit: def _build_endpoints()
file: official/legacy/detection/modeling/architecture/spinenet.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 2

id: 2764
unit: def class_loss()
file: official/legacy/detection/modeling/losses.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 5

id: 2765
unit: def __init__()
file: official/legacy/detection/modeling/retinanet_model.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 2

id: 2766
unit: def _create_replicated_step()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 6

id: 2767
unit: def padded_cross_entropy_loss()
file: official/legacy/transformer/metrics.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 4

id: 2768
unit: def translate_and_compute_bleu()
file: official/legacy/transformer/transformer_main.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 6

id: 2769
unit: def define_compute_bleu_flags()
file: official/legacy/transformer/compute_bleu.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 0

id: 2770
unit: def equalize()
file: official/legacy/image_classification/augment.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 7
number of parameters: 1

id: 2771
unit: def call()
file: official/nlp/modeling/layers/gaussian_process.py
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end line: 0
size: 20 LOC
McCabe index: 9
number of parameters: 4

id: 2772
unit: def _compute_attention()
file: official/nlp/modeling/layers/talking_heads_attention.py
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end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 6

id: 2773
unit: def call()
file: official/nlp/modeling/layers/gated_feedforward.py
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size: 20 LOC
McCabe index: 8
number of parameters: 2

id: 2774
unit: def __init__()
file: official/nlp/modeling/layers/spectral_normalization.py
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size: 20 LOC
McCabe index: 3
number of parameters: 8

id: 2775
unit: def __init__()
file: official/nlp/modeling/layers/multi_channel_attention.py
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size: 20 LOC
McCabe index: 1
number of parameters: 11

id: 2776
unit: def _build_attention_equation()
file: official/nlp/modeling/layers/reuse_attention.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 7
number of parameters: 2

id: 2777
unit: def get_next_sentence_labels()
file: official/nlp/modeling/ops/segment_extractor.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 3

id: 2778
unit: def call()
file: official/nlp/modeling/models/xlnet.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 3

id: 2779
unit: def parse_files_to_dataset()
file: official/nlp/xlnet/preprocess_pretrain_data.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 8

id: 2780
unit: def _find_best_thresh()
file: official/nlp/tools/squad_evaluate_v2_0.py
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end line: 0
size: 20 LOC
McCabe index: 8
number of parameters: 4

id: 2781
unit: def build_inputs()
file: official/nlp/tasks/electra_task.py
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end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 3

id: 2782
unit: def train_step()
file: official/nlp/tasks/translation.py
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size: 20 LOC
McCabe index: 4
number of parameters: 5

id: 2783
unit: def build_inputs()
file: official/nlp/tasks/sentence_prediction.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 3
number of parameters: 3

id: 2784
unit: def reduce_aggregated_logs()
file: official/nlp/tasks/sentence_prediction.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 3

id: 2785
unit: def build_inputs()
file: official/nlp/tasks/tagging.py
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end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 3

id: 2786
unit: def serve_examples()
file: official/nlp/serving/serving_modules.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 2

id: 2787
unit: def get_inference_signatures()
file: official/nlp/serving/serving_modules.py
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end line: 0
size: 20 LOC
McCabe index: 5
number of parameters: 3

id: 2788
unit: def load_image_raw()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 6
number of parameters: 2

id: 2789
unit: def get_random_batch()
file: research/efficient-hrl/agents/circular_buffer.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 4

id: 2790
unit: int GetOffset()
file: research/seq_flow_lite/tflite_ops/layer_norm.cc
start line: 127
end line: 148
size: 20 LOC
McCabe index: 7
number of parameters: 5

id: 2791
unit: def dbpedia_documents()
file: research/adversarial_text/data/document_generators.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 5
number of parameters: 3

id: 2792
unit: def cl_loss_from_embedding()
file: research/adversarial_text/graphs.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 5
number of parameters: 4

id: 2793
unit: def run_eval()
file: research/adversarial_text/evaluate.py
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end line: 0
size: 20 LOC
McCabe index: 5
number of parameters: 3

id: 2794
unit: def MeanAveragePrecision()
file: research/delf/delf/python/datasets/google_landmarks_dataset/metrics.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 8
number of parameters: 3

id: 2795
unit: def __init__()
file: research/delf/delf/python/datasets/sfm120k/sfm120k.py
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size: 20 LOC
McCabe index: 6
number of parameters: 9

id: 2796
unit: def CreateDataset()
file: research/delf/delf/python/datasets/sfm120k/sfm120k.py
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end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 8

id: 2797
unit: def main()
file: research/delf/delf/python/detect_to_retrieve/extract_index_boxes_and_features.py
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end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 1

id: 2798
unit: def DelfFeaturesToArrays()
file: research/delf/delf/python/feature_io.py
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end line: 0
size: 20 LOC
McCabe index: 3
number of parameters: 1

id: 2799
unit: def _attention_summaries()
file: research/delf/delf/python/training/train.py
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size: 20 LOC
McCabe index: 1
number of parameters: 2

id: 2800
unit: def _write_tfrecord()
file: research/delf/delf/python/training/build_image_dataset.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 5
number of parameters: 4

id: 2801
unit: def create_model_directory()
file: research/delf/delf/python/training/global_features_utils.py
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end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 17

id: 2802
unit: def _calculate_metrics_and_export_to_tensorboard()
file: research/delf/delf/python/training/global_features/train_utils.py
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end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 7

id: 2803
unit: bool MobileLSTDTfLiteClient::ValidateStateTensor()
file: research/lstm_object_detection/tflite/mobile_lstd_tflite_client.cc
start line: 144
end line: 163
size: 20 LOC
McCabe index: 6
number of parameters: 2

id: 2804
unit: bool MobileSSDTfLiteClient::ComputeOutputLocationsSize()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 274
end line: 293
size: 20 LOC
McCabe index: 3
number of parameters: 2

id: 2805
unit: void MobileSSDTfLiteClient::GetOutputBoxesAndScoreTensorsFromFloat()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 378
end line: 400
size: 20 LOC
McCabe index: 3
number of parameters: 0

id: 2806
unit: def rnn_decoder()
file: research/lstm_object_detection/lstm/rnn_decoder.py
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end line: 0
size: 20 LOC
McCabe index: 6
number of parameters: 5

id: 2807
unit: def init_state()
file: research/lstm_object_detection/lstm/lstm_cells.py
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size: 20 LOC
McCabe index: 11
number of parameters: 5

id: 2808
unit: def generate_detection_image()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
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end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 5

id: 2809
unit: def preprocess_for_train()
file: research/cognitive_planning/preprocessing/cifarnet_preprocessing.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 5
number of parameters: 5

id: 2810
unit: def map_to_embedder()
file: research/cognitive_planning/train_supervised_active_vision.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 7
number of parameters: 1

id: 2811
unit: def convert_from_batched_episodes()
file: research/pcl_rl/controller.py
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end line: 0
size: 20 LOC
McCabe index: 6
number of parameters: 7

id: 2812
unit: def add_to_replay_buffer()
file: research/pcl_rl/controller.py
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end line: 0
size: 20 LOC
McCabe index: 6
number of parameters: 7

id: 2813
unit: def _predict()
file: research/object_detection/predictors/mask_rcnn_keras_box_predictor.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 5
number of parameters: 4

id: 2814
unit: def __init__()
file: research/object_detection/predictors/heads/mask_head.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 9

id: 2815
unit: def __init__()
file: research/object_detection/predictors/heads/mask_head.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 10

id: 2816
unit: def evaluate()
file: research/object_detection/metrics/coco_evaluation.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 3
number of parameters: 1

id: 2817
unit: def build()
file: research/object_detection/builders/region_similarity_calculator_builder.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 6
number of parameters: 1

id: 2818
unit: def get_minimal_coverage_box()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 3

id: 2819
unit: def _validate_boxes_scores_iou_thresh()
file: research/object_detection/core/post_processing.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 10
number of parameters: 5

id: 2820
unit: def _apply_with_random_selector_tuples()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 6
number of parameters: 5

id: 2821
unit: def batch_get_targets()
file: research/object_detection/core/target_assigner.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 5

id: 2822
unit: def add_single_detected_image_info()
file: research/object_detection/utils/vrd_evaluation.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 5

id: 2823
unit: def normalized_to_image_coordinates()
file: research/object_detection/utils/ops.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 3

id: 2824
unit: def draw_heatmaps_on_image_tensors()
file: research/object_detection/utils/visualization_utils.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 3

id: 2825
unit: def _get_ith_class_arrays()
file: research/object_detection/utils/per_image_evaluation.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 3
number of parameters: 9

id: 2826
unit: def filter_weight_value()
file: research/object_detection/meta_architectures/context_rcnn_lib_tf2.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 5
number of parameters: 3

id: 2827
unit: def _raw_detections_and_feature_map_inds()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 4

id: 2828
unit: def _construct_prediction_heads()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 4
number of parameters: 4

id: 2829
unit: def _transform_boxes_to_feature_coordinates()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 5

id: 2830
unit: def _evaluate_checkpoint()
file: research/object_detection/model_lib.py
start line: 0
end line: 0
size: 20 LOC
McCabe index: 7
number of parameters: 5

id: 2831
unit: def create_pipeline()
file: research/object_detection/dataset_tools/context_rcnn/create_cococameratraps_tfexample_main.py
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end line: 0
size: 20 LOC
McCabe index: 2
number of parameters: 6

id: 2832
unit: def main()
file: research/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py
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end line: 0
size: 20 LOC
McCabe index: 1
number of parameters: 2

id: 2833
unit: def resnet_v1_50()
file: research/object_detection/models/keras_models/resnet_v1.py
start line: 0
end line: 0
size: 20 LOC
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number of parameters: 9

id: 2834
unit: def resnet_v1_101()
file: research/object_detection/models/keras_models/resnet_v1.py
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id: 2835
unit: def resnet_v1_152()
file: research/object_detection/models/keras_models/resnet_v1.py
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id: 2836
unit: def restore_from_classification_checkpoint_fn()
file: research/object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py
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id: 2837
unit: def _extract_box_classifier_features()
file: research/object_detection/models/faster_rcnn_resnet_v1_feature_extractor.py
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id: 2838
unit: def _batch_norm_arg_scope()
file: research/object_detection/models/faster_rcnn_inception_v2_feature_extractor.py
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id: 2839
unit: def _sep_conv()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
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id: 2840
unit: def preprocess_image()
file: research/slim/preprocessing/cifarnet_preprocessing.py
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id: 2841
unit: def global_pool()
file: research/slim/nets/mobilenet/mobilenet.py
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id: 2842
unit: def block17()
file: research/slim/nets/inception_resnet_v2.py
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id: 2843
unit: def block8()
file: research/slim/nets/inception_resnet_v2.py
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id: 2844
unit: def nasnet_cifar_arg_scope()
file: research/slim/nets/nasnet/nasnet.py
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id: 2845
unit: def nasnet_mobile_arg_scope()
file: research/slim/nets/nasnet/nasnet.py
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id: 2846
unit: def nasnet_large_arg_scope()
file: research/slim/nets/nasnet/nasnet.py
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id: 2847
unit: def _representative_dataset_gen()
file: research/slim/nets/post_training_quantization.py
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id: 2848
unit: def optimize_clones()
file: research/slim/deployment/model_deploy.py
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id: 2849
unit: def check_tflite_consistency()
file: research/deeplab/convert_to_tflite.py
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id: 2850
unit: def _override()
file: official/modeling/hyperparams/params_dict.py
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id: 2851
unit: def bind()
file: official/modeling/hyperparams/base_config.py
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id: 2852
unit: def update_average()
file: official/modeling/optimization/ema_optimizer.py
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id: 2853
unit: def __init__()
file: official/modeling/optimization/lr_schedule.py
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id: 2854
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_blocks_3d.py
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id: 2855
unit: def pyramid_feature_fusion()
file: official/vision/beta/modeling/layers/nn_layers.py
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id: 2856
unit: def call()
file: official/vision/beta/modeling/layers/nn_layers.py
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id: 2857
unit: def build_efficientnet()
file: official/vision/beta/modeling/backbones/efficientnet.py
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id: 2858
unit: def generate_annotations()
file: official/vision/beta/data/create_coco_tf_record.py
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id: 2859
unit: def __init__()
file: official/vision/beta/dataloaders/classification_input.py
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id: 2860
unit: def _get_rpn_samples()
file: official/vision/beta/ops/anchor.py
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id: 2861
unit: def _shift_bbox()
file: official/vision/beta/ops/augment.py
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id: 2862
unit: def _parse_policy_info()
file: official/vision/beta/ops/augment.py
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id: 2863
unit: def __init__()
file: official/vision/beta/ops/augment.py
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id: 2864
unit: def loadRes()
file: official/vision/beta/evaluation/coco_utils.py
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id: 2865
unit: def aggregate_logs()
file: official/vision/beta/projects/panoptic_maskrcnn/tasks/panoptic_maskrcnn.py
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id: 2866
unit: def __init__()
file: official/vision/beta/projects/panoptic_maskrcnn/serving/panoptic_segmentation.py
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id: 2867
unit: def gather()
file: official/vision/beta/projects/centernet/ops/box_list_ops.py
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id: 2868
unit: def load_weights_head()
file: official/vision/beta/projects/centernet/utils/checkpoints/load_weights.py
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id: 2869
unit: def initialize()
file: official/vision/beta/projects/centernet/tasks/centernet.py
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id: 2870
unit: def __init__()
file: official/vision/beta/projects/yolo/modeling/yolo_model.py
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id: 2871
unit: def _generate_cut()
file: official/vision/beta/projects/yolo/ops/mosaic.py
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id: 2872
unit: def _mosaic()
file: official/vision/beta/projects/yolo/ops/mosaic.py
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id: 2873
unit: def _apply()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
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id: 2874
unit: def build_inputs()
file: official/vision/beta/projects/simclr/tasks/simclr.py
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id: 2875
unit: def initialize()
file: official/vision/beta/tasks/video_classification.py
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id: 2876
unit: def initialize()
file: official/vision/beta/tasks/image_classification.py
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id: 2877
unit: def main()
file: official/vision/beta/serving/export_saved_model.py
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id: 2878
unit: def _assign_class_targets()
file: official/vision/beta/losses/maskrcnn_losses.py
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id: 2879
unit: def call()
file: official/vision/beta/losses/retinanet_losses.py
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id: 2880
unit: def clip_to_window()
file: official/vision/utils/object_detection/box_list_ops.py
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id: 2881
unit: def gather()
file: official/vision/utils/object_detection/box_list_ops.py
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id: 2882
unit: def to_absolute_coordinates()
file: official/vision/utils/object_detection/box_list_ops.py
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id: 2883
unit: def try_count_params()
file: official/core/train_utils.py
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id: 2884
unit: def initialize()
file: official/core/base_task.py
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id: 2885
unit: def lookup()
file: official/core/registry.py
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id: 2886
unit: def get_config()
file: official/projects/movinet/modeling/movinet_layers.py
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id: 2887
unit: def call()
file: official/projects/movinet/modeling/movinet_layers.py
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id: 2888
unit: def build_inputs()
file: official/projects/teams/teams_task.py
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id: 2889
unit: def process_metrics()
file: official/projects/teams/teams_task.py
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id: 2890
unit: def _concat_features()
file: official/projects/yt8m/dataloaders/yt8m_input.py
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id: 2891
unit: def build()
file: official/projects/basnet/modeling/nn_blocks.py
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id: 2892
unit: def build_inputs()
file: official/projects/mobilebert/distillation.py
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id: 2893
unit: def decode_logits()
file: official/projects/triviaqa/prediction.py
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id: 2894
unit: def spatial_resize_and_concat()
file: official/projects/assemblenet/modeling/assemblenet.py
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id: 2895
unit: def __init__()
file: official/projects/assemblenet/modeling/rep_flow_2d_layer.py
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id: 2896
unit: def build_inputs()
file: official/projects/volumetric_models/tasks/semantic_segmentation_3d.py
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id: 2897
unit: def bert_classification_example()
file: official/projects/text_classification_example/classification_example.py
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id: 2898
unit: def initialize()
file: official/projects/edgetpu/vision/tasks/image_classification.py
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id: 2899
unit: def validation_step()
file: official/projects/edgetpu/vision/tasks/image_classification.py
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id: 2900
unit: def main()
file: official/projects/edgetpu/vision/serving/tflite_imagenet_evaluator_run.py
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id: 2901
unit: def get_export_config_from_flags()
file: official/projects/edgetpu/vision/serving/export_tflite.py
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id: 2902
unit: def build_optimizer()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
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id: 2903
unit: def make_restore_checkpoint_fn()
file: official/legacy/detection/modeling/checkpoint_utils.py
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id: 2904
unit: def build_outputs()
file: official/legacy/detection/modeling/retinanet_model.py
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id: 2905
unit: def loadRes()
file: official/legacy/detection/evaluation/coco_utils.py
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id: 2906
unit: def build()
file: official/legacy/transformer/transformer.py
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id: 2907
unit: def padded_cross_entropy_loss()
file: official/legacy/transformer/utils/metrics.py
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id: 2908
unit: def rouge_n()
file: official/legacy/transformer/utils/metrics.py
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id: 2909
unit: def _generate_subtokens()
file: official/legacy/transformer/utils/tokenizer.py
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id: 2910
unit: def main()
file: official/legacy/transformer/transformer_main.py
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id: 2911
unit: def define_data_download_flags()
file: official/legacy/transformer/data_download.py
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id: 2912
unit: def main()
file: official/legacy/bert/export_tfhub.py
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unit: def get_config()
file: official/legacy/image_classification/configs/configs.py
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id: 2914
unit: def load_tfds()
file: official/legacy/image_classification/dataset_factory.py
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id: 2915
unit: def get_synth_input_fn()
file: official/legacy/image_classification/resnet/common.py
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id: 2916
unit: def __init__()
file: official/legacy/image_classification/augment.py
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id: 2917
unit: def __init__()
file: official/nlp/modeling/layers/spectral_normalization.py
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id: 2918
unit: def call()
file: official/nlp/modeling/layers/mobile_bert_layers.py
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id: 2919
unit: def __call__()
file: official/nlp/modeling/networks/xlnet_base.py
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id: 2920
unit: def _parse_inputs()
file: official/nlp/modeling/models/seq2seq_transformer.py
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id: 2921
unit: def build()
file: official/nlp/modeling/models/seq2seq_transformer.py
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id: 2922
unit: def build()
file: official/nlp/modeling/models/seq2seq_transformer.py
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id: 2923
unit: def __init__()
file: official/nlp/modeling/models/t5.py
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id: 2926
unit: def _index_pair_to_mask()
file: official/nlp/data/pretrain_dataloader.py
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id: 2927
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file: official/nlp/optimization.py
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id: 2928
unit: def __call__()
file: official/nlp/xlnet/xlnet_modeling.py
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id: 2929
unit: def __init__()
file: official/nlp/xlnet/xlnet_modeling.py
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id: 2930
unit: def get_raw_scores()
file: official/nlp/xlnet/squad_utils.py
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id: 2931
unit: def format_filename()
file: official/nlp/xlnet/data_utils.py
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id: 2932
unit: def create_run_config()
file: official/nlp/xlnet/xlnet_config.py
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id: 2933
unit: def evaluate()
file: official/nlp/tools/squad_evaluate_v1_1.py
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id: 2934
unit: def build_inputs()
file: official/nlp/tasks/masked_lm.py
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id: 2935
unit: def train_step()
file: official/nlp/tasks/masked_lm.py
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id: 2936
unit: def inference()
file: research/vid2depth/ops/icp_train_demo.py
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id: 2937
unit: def sample_best_meta_actions()
file: research/efficient-hrl/train.py
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id: 2938
unit: def __init__()
file: research/efficient-hrl/context/samplers.py
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id: 2939
unit: def set_env_context_op()
file: research/efficient-hrl/context/context.py
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id: 2940
unit: def timed_rewards()
file: research/efficient-hrl/context/rewards_functions.py
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id: 2941
unit: def failed_reset_after_n_episodes()
file: research/efficient-hrl/cond_fn.py
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id: 2942
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file: research/autoaugment/train_cifar.py
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id: 2943
unit: bool ValidIndex()
file: research/seq_flow_lite/tflite_ops/layer_norm.cc
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id: 2944
unit: def call()
file: research/seq_flow_lite/layers/misc_layers.py
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id: 2945
unit: std::vector GetHashCodes()
file: research/seq_flow_lite/tf_ops/projection_util.cc
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id: 2946
unit: def build_labeled_sequence()
file: research/adversarial_text/data/data_utils.py
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id: 2947
unit: def documents()
file: research/adversarial_text/data/document_generators.py
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id: 2948
unit: def __init__()
file: research/adversarial_text/inputs.py
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id: 2949
unit: def eval_graph()
file: research/adversarial_text/graphs.py
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id: 2950
unit: def _ImageNetCrop()
file: research/delf/delf/python/datasets/google_landmarks_dataset/googlelandmarks.py
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id: 2951
unit: def MeanPrecisions()
file: research/delf/delf/python/datasets/google_landmarks_dataset/metrics.py
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id: 2952
unit: def __getitem__()
file: research/delf/delf/python/datasets/tuples_dataset.py
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id: 2953
unit: def ExtractFeatures()
file: research/delf/delf/python/training/model/export_local_and_global_model.py
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unit: def _create_baseline()
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unit: def _create_gumbel_control_variate_quadratic()
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id: 2956
unit: def get_rebar_gradient()
file: research/rebar/rebar.py
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id: 2957
unit: def decode()
file: research/lstm_object_detection/inputs/tf_sequence_example_decoder.py
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size: 19 LOC
McCabe index: 7
number of parameters: 3

id: 2958
unit: bool MobileSSDTfLiteClient::SetInputShape()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
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end line: 177
size: 19 LOC
McCabe index: 4
number of parameters: 0

id: 2959
unit: bool MobileSSDTfLiteClient::ComputeOutputScoresSize()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
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end line: 313
size: 19 LOC
McCabe index: 3
number of parameters: 2

id: 2960
unit: def distorted_bounding_box_crop()
file: research/cognitive_planning/preprocessing/inception_preprocessing.py
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size: 19 LOC
McCabe index: 4
number of parameters: 5

id: 2961
unit: def add_cdf_image_summary()
file: research/cognitive_planning/visualization_utils.py
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size: 19 LOC
McCabe index: 1
number of parameters: 2

id: 2962
unit: def train()
file: research/cognitive_planning/train_supervised_active_vision.py
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number of parameters: 0

id: 2963
unit: def build()
file: research/cognitive_planning/embedders.py
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number of parameters: 2

id: 2964
unit: def _compute_gt_value()
file: research/cognitive_planning/tasks.py
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number of parameters: 3

id: 2965
unit: def _compute_gt_value()
file: research/cognitive_planning/tasks.py
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number of parameters: 3

id: 2966
unit: def __init__()
file: research/pcl_rl/model.py
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id: 2967
unit: def __init__()
file: research/pcl_rl/gym_wrapper.py
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id: 2968
unit: def __init__()
file: research/pcl_rl/objective.py
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number of parameters: 11

id: 2969
unit: def default_mparams()
file: research/attention_ocr/python/model.py
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number of parameters: 1

id: 2970
unit: def distorted_bounding_box_crop()
file: research/attention_ocr/python/inception_preprocessing.py
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number of parameters: 5

id: 2971
unit: def _process_config()
file: research/object_detection/export_tflite_graph_lib_tf2.py
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id: 2972
unit: def inference_fn()
file: research/object_detection/export_tflite_graph_lib_tf2.py
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id: 2973
unit: def _encoded_image_string_tensor_input_placeholder()
file: research/object_detection/exporter.py
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number of parameters: 1

id: 2974
unit: def gather()
file: research/object_detection/core/box_list_ops.py
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number of parameters: 5

id: 2975
unit: def select_random_box()
file: research/object_detection/core/box_list_ops.py
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number of parameters: 4

id: 2976
unit: def __init__()
file: research/object_detection/core/losses.py
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number of parameters: 8

id: 2977
unit: def _subsample_selection_to_desired_neg_pos_ratio()
file: research/object_detection/core/losses.py
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number of parameters: 5

id: 2978
unit: def _preprocess_keypoints_and_weights()
file: research/object_detection/core/target_assigner.py
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size: 19 LOC
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number of parameters: 8

id: 2979
unit: def __init__()
file: research/object_detection/core/batcher.py
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McCabe index: 3
number of parameters: 6

id: 2980
unit: def clip_to_window()
file: research/object_detection/utils/np_box_list_ops.py
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size: 19 LOC
McCabe index: 2
number of parameters: 3

id: 2981
unit: def batch_position_sensitive_crop_regions()
file: research/object_detection/utils/ops.py
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end line: 0
size: 19 LOC
McCabe index: 1
number of parameters: 6

id: 2982
unit: def reframe_box_masks_to_image_masks()
file: research/object_detection/utils/ops.py
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end line: 0
size: 19 LOC
McCabe index: 3
number of parameters: 5

id: 2983
unit: def add_single_detected_image_info()
file: research/object_detection/utils/object_detection_evaluation.py
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size: 19 LOC
McCabe index: 3
number of parameters: 3

id: 2984
unit: def add_cdf_image_summary()
file: research/object_detection/utils/visualization_utils.py
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size: 19 LOC
McCabe index: 1
number of parameters: 2

id: 2985
unit: def create_upsample_feature_map_ops()
file: research/object_detection/utils/bifpn_utils.py
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end line: 0
size: 19 LOC
McCabe index: 2
number of parameters: 3

id: 2986
unit: def restore_map()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 19 LOC
McCabe index: 6
number of parameters: 3

id: 2987
unit: def _extract_rpn_feature_maps()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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size: 19 LOC
McCabe index: 4
number of parameters: 2

id: 2988
unit: def _get_refined_encodings_for_postitive_class()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 19 LOC
McCabe index: 3
number of parameters: 4

id: 2989
unit: def filter_masked_classes()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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size: 19 LOC
McCabe index: 3
number of parameters: 4

id: 2990
unit: def __init__()
file: research/object_detection/exporter_lib_v2.py
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id: 2991
unit: def embed_date_captured()
file: research/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py
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McCabe index: 1
number of parameters: 1

id: 2992
unit: def _resize_groundtruth_masks()
file: research/object_detection/eval_util.py
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size: 19 LOC
McCabe index: 1
number of parameters: 1

id: 2993
unit: def Conv2D()
file: research/object_detection/models/keras_models/resnet_v1.py
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McCabe index: 6
number of parameters: 4

id: 2994
unit: def mobilenet_v2()
file: research/object_detection/models/keras_models/mobilenet_v2.py
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size: 19 LOC
McCabe index: 1
number of parameters: 8

id: 2995
unit: def test_extract_features_returns_correct_shapes_128()
file: research/object_detection/models/ssd_mobilenet_v3_feature_extractor_testbase.py
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end line: 0
size: 19 LOC
McCabe index: 1
number of parameters: 1

id: 2996
unit: def test_extract_features_returns_correct_shapes_299()
file: research/object_detection/models/ssd_mobilenet_v3_feature_extractor_testbase.py
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size: 19 LOC
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id: 2997
unit: def restore_from_classification_checkpoint_fn()
file: research/object_detection/models/faster_rcnn_pnas_feature_extractor.py
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size: 19 LOC
McCabe index: 4
number of parameters: 3

id: 2998
unit: def test_extract_features_returns_correct_shapes_128()
file: research/object_detection/models/ssd_mobilenet_edgetpu_feature_extractor_testbase.py
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size: 19 LOC
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id: 2999
unit: def test_extract_features_returns_correct_shapes_299()
file: research/object_detection/models/ssd_mobilenet_edgetpu_feature_extractor_testbase.py
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size: 19 LOC
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id: 3000
unit: def _extract_proposal_features()
file: research/object_detection/models/faster_rcnn_inception_v2_feature_extractor.py
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size: 19 LOC
McCabe index: 1
number of parameters: 3

id: 3001
unit: def get_proposal_feature_extractor_model()
file: research/object_detection/models/faster_rcnn_inception_resnet_v2_keras_feature_extractor.py
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size: 19 LOC
McCabe index: 3
number of parameters: 2

id: 3002
unit: def restore_from_classification_checkpoint_fn()
file: research/object_detection/models/faster_rcnn_nas_feature_extractor.py
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size: 19 LOC
McCabe index: 4
number of parameters: 3

id: 3003
unit: def __init__()
file: research/object_detection/models/faster_rcnn_mobilenet_v1_feature_extractor.py
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number of parameters: 10

id: 3004
unit: def _download_dataset()
file: research/slim/datasets/download_and_convert_mnist.py
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size: 19 LOC
McCabe index: 3
number of parameters: 1

id: 3005
unit: def distorted_bounding_box_crop()
file: research/slim/preprocessing/inception_preprocessing.py
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size: 19 LOC
McCabe index: 4
number of parameters: 5

id: 3006
unit: def block_reduction_b()
file: research/slim/nets/inception_v4.py
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size: 19 LOC
McCabe index: 2
number of parameters: 3

id: 3007
unit: def download_and_extract()
file: research/deep_speech/data/download.py
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end line: 0
size: 19 LOC
McCabe index: 2
number of parameters: 2

id: 3008
unit: def call()
file: research/deeplab/core/conv2d_ws.py
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end line: 0
size: 19 LOC
McCabe index: 6
number of parameters: 2

id: 3009
unit: def mobilenet_edgetpu()
file: research/deeplab/core/feature_extractor.py
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end line: 0
size: 19 LOC
McCabe index: 1
number of parameters: 7

id: 3010
unit: def detailed_results()
file: research/deeplab/evaluation/parsing_covering.py
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end line: 0
size: 19 LOC
McCabe index: 4
number of parameters: 2

id: 3011
unit: def _build_metric()
file: research/deeplab/evaluation/eval_coco_format.py
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end line: 0
size: 19 LOC
McCabe index: 3
number of parameters: 6

id: 3012
unit: def _swap_weights()
file: official/modeling/optimization/ema_optimizer.py
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end line: 0
size: 18 LOC
McCabe index: 2
number of parameters: 1

id: 3013
unit: def get_config()
file: official/vision/beta/modeling/layers/deeplab.py
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end line: 0
size: 18 LOC
McCabe index: 1
number of parameters: 1

id: 3014
unit: def _positional_encoding()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 18 LOC
McCabe index: 3
number of parameters: 8

id: 3015
unit: def get_config()
file: official/vision/beta/modeling/backbones/mobilenet.py
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size: 18 LOC
McCabe index: 1
number of parameters: 1

id: 3016
unit: def get_config()
file: official/vision/beta/modeling/backbones/mobilenet.py
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size: 18 LOC
McCabe index: 1
number of parameters: 1

id: 3017
unit: def get_config()
file: official/vision/beta/modeling/backbones/spinenet.py
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size: 18 LOC
McCabe index: 1
number of parameters: 1

id: 3018
unit: def call()
file: official/vision/beta/modeling/heads/segmentation_heads.py
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size: 18 LOC
McCabe index: 3
number of parameters: 3

id: 3019
unit: def _load_object_annotations()
file: official/vision/beta/data/create_coco_tf_record.py
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size: 18 LOC
McCabe index: 5
number of parameters: 1

id: 3020
unit: def create_classification_example()
file: official/vision/beta/dataloaders/tfexample_utils.py
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end line: 0
size: 18 LOC
McCabe index: 2
number of parameters: 4

id: 3021
unit: def _feature_bilinear_interpolation()
file: official/vision/beta/ops/spatial_transform_ops.py
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end line: 0
size: 18 LOC
McCabe index: 2
number of parameters: 3

id: 3022
unit: def random_horizontal_flip()
file: official/vision/beta/ops/preprocess_ops.py
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end line: 0
size: 18 LOC
McCabe index: 3
number of parameters: 4

id: 3023
unit: def random_crop()
file: official/vision/beta/ops/preprocess_ops.py
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end line: 0
size: 18 LOC
McCabe index: 2
number of parameters: 6

id: 3024
unit: def intersection()
file: official/vision/beta/ops/iou_similarity.py
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end line: 0
size: 18 LOC
McCabe index: 3
number of parameters: 2

id: 3025
unit: def sample_linspace_sequence()
file: official/vision/beta/ops/preprocess_ops_3d.py
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end line: 0
size: 18 LOC
McCabe index: 2
number of parameters: 4

id: 3026
unit: def update_state()
file: official/vision/beta/evaluation/iou.py
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size: 18 LOC
McCabe index: 6
number of parameters: 4

id: 3027
unit: def get_inference_signatures()
file: official/vision/beta/projects/deepmac_maskrcnn/serving/detection.py
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end line: 0
size: 18 LOC
McCabe index: 2
number of parameters: 3

id: 3028
unit: def random_adjust_contrast()
file: official/vision/beta/projects/centernet/ops/preprocess_ops.py
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end line: 0
size: 18 LOC
McCabe index: 1
number of parameters: 5

id: 3029
unit: def random_adjust_saturation()
file: official/vision/beta/projects/centernet/ops/preprocess_ops.py
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size: 18 LOC
McCabe index: 1
number of parameters: 5

id: 3030
unit: def get_config()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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size: 18 LOC
McCabe index: 1
number of parameters: 1

id: 3031
unit: def _augment_hsv_torch()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
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size: 18 LOC
McCabe index: 1
number of parameters: 5

id: 3032
unit: def _darknet_boxes()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
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size: 18 LOC
McCabe index: 5
number of parameters: 7

id: 3033
unit: def _run_sgd()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
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size: 18 LOC
McCabe index: 6
number of parameters: 4

id: 3034
unit: def _get_data_decoder()
file: official/vision/beta/projects/yolo/tasks/yolo.py
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size: 18 LOC
McCabe index: 4
number of parameters: 2

id: 3035
unit: def multitask_simclr()
file: official/vision/beta/projects/simclr/configs/multitask_config.py
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end line: 0
size: 18 LOC
McCabe index: 1
number of parameters: 0

id: 3036
unit: def initialize()
file: official/vision/beta/projects/simclr/tasks/simclr.py
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size: 18 LOC
McCabe index: 5
number of parameters: 2

id: 3037
unit: def validation_step()
file: official/vision/beta/projects/simclr/tasks/simclr.py
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McCabe index: 7
number of parameters: 4

id: 3038
unit: def validation_step()
file: official/vision/beta/projects/simclr/tasks/simclr.py
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size: 18 LOC
McCabe index: 6
number of parameters: 4

id: 3039
unit: def inference_from_tf_example()
file: official/vision/beta/serving/video_classification.py
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size: 18 LOC
McCabe index: 2
number of parameters: 2

id: 3040
unit: def serve()
file: official/vision/beta/serving/video_classification.py
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McCabe index: 3
number of parameters: 3

id: 3041
unit: def create_representative_dataset()
file: official/vision/beta/serving/export_tflite_lib.py
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size: 18 LOC
McCabe index: 6
number of parameters: 1

id: 3042
unit: def get_minimal_coverage_box()
file: official/vision/utils/object_detection/box_list_ops.py
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size: 18 LOC
McCabe index: 2
number of parameters: 3

id: 3043
unit: def visualize_images_with_bounding_boxes()
file: official/vision/utils/object_detection/visualization_utils.py
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end line: 0
size: 18 LOC
McCabe index: 2
number of parameters: 4

id: 3044
unit: def draw_mask_on_image_array()
file: official/vision/utils/object_detection/visualization_utils.py
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size: 18 LOC
McCabe index: 5
number of parameters: 4

id: 3045
unit: def _get_values_from_start_and_end()
file: official/vision/utils/object_detection/balanced_positive_negative_sampler.py
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size: 18 LOC
McCabe index: 1
number of parameters: 5

id: 3046
unit: def create_trainer()
file: official/core/train_utils.py
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McCabe index: 1
number of parameters: 6

id: 3047
unit: def __init__()
file: official/core/actions.py
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McCabe index: 2
number of parameters: 5

id: 3048
unit: def __call__()
file: official/core/actions.py
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McCabe index: 6
number of parameters: 2

id: 3049
unit: def define_distribution()
file: official/utils/flags/_distribution.py
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McCabe index: 3
number of parameters: 2

id: 3050
unit: def create_dataset_from_data_producer()
file: official/recommendation/ncf_input_pipeline.py
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size: 18 LOC
McCabe index: 1
number of parameters: 2

id: 3051
unit: def get_config()
file: official/projects/movinet/modeling/movinet.py
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size: 18 LOC
McCabe index: 1
number of parameters: 1

id: 3052
unit: def teams_sentence_prediction()
file: official/projects/teams/teams_experiments.py
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end line: 0
size: 18 LOC
McCabe index: 1
number of parameters: 0

id: 3053
unit: def build_inputs()
file: official/projects/yt8m/tasks/yt8m_task.py
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McCabe index: 1
number of parameters: 3

id: 3054
unit: def evaluate()
file: official/projects/basnet/evaluation/metrics.py
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McCabe index: 2
number of parameters: 1

id: 3055
unit: def _compute_pre_rec()
file: official/projects/basnet/evaluation/metrics.py
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McCabe index: 1
number of parameters: 5

id: 3056
unit: def build_inputs()
file: official/projects/basnet/tasks/basnet.py
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McCabe index: 1
number of parameters: 3

id: 3057
unit: def serve()
file: official/projects/basnet/serving/basnet.py
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McCabe index: 1
number of parameters: 2

id: 3058
unit: def __init__()
file: official/projects/roformer/roformer_attention.py
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McCabe index: 2
number of parameters: 5

id: 3059
unit: def build_assemblenet_model()
file: official/projects/assemblenet/modeling/assemblenet.py
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size: 18 LOC
McCabe index: 1
number of parameters: 4

id: 3060
unit: def _init_cache()
file: official/projects/nhnet/models.py
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McCabe index: 3
number of parameters: 2

id: 3061
unit: def build()
file: official/projects/volumetric_models/modeling/nn_blocks_3d.py
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size: 18 LOC
McCabe index: 2
number of parameters: 2

id: 3062
unit: def get_config()
file: official/projects/volumetric_models/modeling/nn_blocks_3d.py
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McCabe index: 1
number of parameters: 1

id: 3063
unit: def call()
file: official/projects/volumetric_models/modeling/nn_blocks_3d.py
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McCabe index: 4
number of parameters: 3

id: 3064
unit: def build_model()
file: official/projects/volumetric_models/tasks/semantic_segmentation_3d.py
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size: 18 LOC
McCabe index: 6
number of parameters: 1

id: 3065
unit: def _moments()
file: official/projects/edgetpu/vision/modeling/common_modules.py
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size: 18 LOC
McCabe index: 6
number of parameters: 4

id: 3066
unit: def _pool2d()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
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size: 18 LOC
McCabe index: 3
number of parameters: 6

id: 3067
unit: def evaluate_single_image()
file: official/projects/edgetpu/vision/serving/tflite_imagenet_evaluator.py
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size: 18 LOC
McCabe index: 5
number of parameters: 2

id: 3068
unit: def evaluate_all()
file: official/projects/edgetpu/vision/serving/tflite_imagenet_evaluator.py
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size: 18 LOC
McCabe index: 4
number of parameters: 1

id: 3069
unit: def _get_rpn_samples()
file: official/legacy/detection/dataloader/anchor.py
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size: 18 LOC
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unit: def __call__()
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unit: def _classify_shape_priors()
file: official/legacy/detection/modeling/architecture/heads.py
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id: 3073
unit: def multilevel_features_generator()
file: official/legacy/detection/modeling/architecture/factory.py
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id: 3074
unit: def __call__()
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id: 3075
unit: def __call__()
file: official/legacy/detection/modeling/losses.py
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id: 3076
unit: def __init__()
file: official/legacy/detection/executor/detection_executor.py
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id: 3077
unit: def _generate_detections_batched()
file: official/legacy/detection/ops/postprocess_ops.py
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id: 3078
unit: def dump_to_files()
file: official/legacy/bert/run_squad_helper.py
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id: 3079
unit: def _moments()
file: official/legacy/image_classification/efficientnet/common_modules.py
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id: 3080
unit: def parse_record()
file: official/legacy/image_classification/dataset_factory.py
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id: 3081
unit: def sharpness()
file: official/legacy/image_classification/augment.py
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unit: def call()
file: official/nlp/modeling/layers/on_device_embedding.py
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id: 3083
unit: def __init__()
file: official/nlp/modeling/layers/tn_expand_condense.py
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unit: def __init__()
file: official/nlp/modeling/layers/text_layers.py
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unit: def _update_cache()
file: official/nlp/modeling/layers/attention.py
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unit: def _process_finished_state()
file: official/nlp/modeling/ops/sampling_module.py
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id: 3087
unit: def _create_causal_attention_mask()
file: official/nlp/modeling/networks/xlnet_base.py
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id: 3088
unit: def get_train_examples()
file: official/nlp/data/classifier_data_lib.py
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id: 3089
unit: def get_train_examples()
file: official/nlp/data/classifier_data_lib.py
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id: 3090
unit: def main()
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id: 3091
unit: def _parse()
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id: 3092
unit: def _single_token_mask()
file: official/nlp/data/pretrain_dataloader.py
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id: 3093
unit: def _online_sample_mask()
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id: 3094
unit: def get_classification_input_data()
file: official/nlp/xlnet/data_utils.py
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id: 3095
unit: def _get_raw_scores()
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id: 3096
unit: def _make_precision_recall_eval()
file: official/nlp/tools/squad_evaluate_v2_0.py
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id: 3097
unit: def build_inputs()
file: official/nlp/tasks/dual_encoder.py
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id: 3098
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file: official/nlp/tasks/dual_encoder.py
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id: 3099
unit: def validation_step()
file: official/nlp/tasks/question_answering.py
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id: 3100
unit: def info()
file: research/vid2depth/util.py
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id: 3101
unit: def binary_indicator()
file: research/efficient-hrl/context/rewards_functions.py
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id: 3102
unit: def step()
file: research/efficient-hrl/environments/point.py
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unit: def line_intersect()
file: research/efficient-hrl/environments/maze_env_utils.py
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id: 3104
unit: inline bool ResolveAxis()
file: research/seq_flow_lite/tflite_ops/layer_norm.cc
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id: 3105
unit: def __init__()
file: research/seq_flow_lite/layers/projection_layers.py
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id: 3106
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file: research/seq_flow_lite/utils/tflite_utils.py
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id: 3107
unit: size_t ProjectionTokenizer::FindNextSeparator()
file: research/seq_flow_lite/tf_ops/projection_tokenizer_util.cc
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unit: def __init__()
file: research/cvt_text/task_specific/word_level/word_level_data.py
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id: 3109
unit: def _lm_loss()
file: research/adversarial_text/graphs.py
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id: 3110
unit: def __init__()
file: research/delf/delf/python/feature_aggregation_extractor.py
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unit: def main()
file: research/delf/delf/python/detect_to_retrieve/extract_aggregation.py
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id: 3112
unit: def global_and_local_forward_pass()
file: research/delf/delf/python/training/model/delf_model.py
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id: 3113
unit: def read_omniglot()
file: research/rebar/datasets.py
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id: 3114
unit: def _create_gumbel_control_variate()
file: research/rebar/rebar.py
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id: 3115
unit: def get_configs_from_multiple_files()
file: research/lstm_object_detection/utils/config_util.py
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id: 3116
unit: def generate_action()
file: research/lstm_object_detection/lstm/rnn_decoder.py
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id: 3117
unit: def init_state()
file: research/lstm_object_detection/lstm/lstm_cells.py
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id: 3118
unit: def _compute_goal_indexes()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
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number of parameters: 1

id: 3119
unit: def draw_mask_on_image_array()
file: research/cognitive_planning/visualization_utils.py
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id: 3120
unit: def __init__()
file: research/cognitive_planning/tasks.py
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id: 3121
unit: def target_loss()
file: research/cognitive_planning/tasks.py
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id: 3122
unit: def target_loss()
file: research/cognitive_planning/tasks.py
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id: 3123
unit: def optimize()
file: research/pcl_rl/optimizers.py
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id: 3124
unit: def sample_action()
file: research/pcl_rl/policy.py
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id: 3125
unit: def read_datasets()
file: research/lfads/utils.py
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id: 3126
unit: def preprocess_for_eval()
file: research/attention_ocr/python/inception_preprocessing.py
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id: 3127
unit: def __init__()
file: research/object_detection/predictors/convolutional_box_predictor.py
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id: 3128
unit: def inference_fn()
file: research/object_detection/export_tflite_graph_lib_tf2.py
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number of parameters: 2

id: 3129
unit: def _reshape_keypoint_visibilities()
file: research/object_detection/data_decoders/tf_example_decoder.py
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id: 3130
unit: def __init__()
file: research/object_detection/metrics/coco_evaluation.py
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id: 3131
unit: def to_absolute_coordinates()
file: research/object_detection/core/box_list_ops.py
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number of parameters: 6

id: 3132
unit: def flip_parts_and_coords()
file: research/object_detection/core/densepose_ops.py
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id: 3133
unit: def random_adjust_contrast()
file: research/object_detection/core/preprocessor.py
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id: 3134
unit: def random_adjust_saturation()
file: research/object_detection/core/preprocessor.py
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number of parameters: 5

id: 3135
unit: def _compute_tp_fp_for_single_class()
file: research/object_detection/utils/per_image_vrd_evaluation.py
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size: 18 LOC
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number of parameters: 3

id: 3136
unit: def add_single_ground_truth_image_info()
file: research/object_detection/utils/object_detection_evaluation.py
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size: 18 LOC
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number of parameters: 3

id: 3137
unit: def draw_part_mask_on_image_array()
file: research/object_detection/utils/visualization_utils.py
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size: 18 LOC
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number of parameters: 4

id: 3138
unit: def _pad_to_full_keypoint_dim()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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id: 3139
unit: def _pad_to_full_instance_dim()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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id: 3140
unit: def __new__()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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id: 3141
unit: def predict()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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number of parameters: 4

id: 3142
unit: def _predict_rpn_proposals()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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id: 3143
unit: def _remove_invalid_anchors_and_predictions()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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id: 3144
unit: def restore_from_objects()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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id: 3145
unit: def main()
file: research/object_detection/dataset_tools/context_rcnn/generate_detection_data.py
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id: 3146
unit: def __init__()
file: research/object_detection/models/keras_models/resnet_v1.py
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id: 3147
unit: def DepthwiseConv2D()
file: research/object_detection/models/keras_models/mobilenet_v1.py
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id: 3148
unit: def mobilenet_v1()
file: research/object_detection/models/keras_models/mobilenet_v1.py
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id: 3149
unit: def DepthwiseConv2D()
file: research/object_detection/models/keras_models/mobilenet_v2.py
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id: 3150
unit: def _separable_conv()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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id: 3151
unit: def _inverted_bottleneck()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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id: 3152
unit: def _upsample()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
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id: 3153
unit: def _downsample()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
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id: 3154
unit: def main()
file: research/slim/download_and_convert_data.py
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id: 3155
unit: def _filter_annotations()
file: research/slim/datasets/download_and_convert_visualwakewords_lib.py
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id: 3156
unit: def resnet_v2_50()
file: research/slim/nets/resnet_v2.py
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id: 3157
unit: def resnet_v2_101()
file: research/slim/nets/resnet_v2.py
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id: 3158
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file: research/slim/nets/resnet_v2.py
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id: 3159
unit: def resnet_v2_200()
file: research/slim/nets/resnet_v2.py
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id: 3160
unit: def _reduce_prev_layer()
file: research/slim/nets/nasnet/nasnet_utils.py
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id: 3161
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file: research/slim/nets/inception_v4.py
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id: 3162
unit: def _cell_base()
file: research/deeplab/core/nas_cell.py
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id: 3163
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file: research/deeplab/core/feature_extractor.py
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id: 3164
unit: def randomly_scale_image_and_label()
file: research/deeplab/core/preprocess_utils.py
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id: 3165
unit: def log_mel_spectrogram()
file: research/audioset/vggish/mel_features.py
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id: 3166
unit: def pad_waveform()
file: research/audioset/yamnet/features.py
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id: 3167
unit: def __init__()
file: official/modeling/optimization/ema_optimizer.py
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file: official/modeling/optimization/lr_schedule.py
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file: official/modeling/fast_training/experimental/tf2_utils_2x_wide.py
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file: official/modeling/fast_training/experimental/tf2_utils_2x_wide.py
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file: official/vision/beta/modeling/layers/nn_blocks.py
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file: official/vision/beta/modeling/layers/nn_blocks.py
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unit: def _generate_detections_batched()
file: official/vision/beta/modeling/layers/detection_generator.py
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id: 3175
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file: official/vision/beta/modeling/backbones/revnet.py
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file: official/vision/beta/dataloaders/classification_input.py
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file: official/vision/beta/ops/preprocess_ops.py
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id: 3179
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file: official/vision/beta/ops/anchor.py
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id: 3180
unit: def normalize_boxes()
file: official/vision/beta/ops/box_ops.py
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id: 3181
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file: official/vision/beta/ops/augment.py
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file: official/vision/beta/ops/augment.py
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id: 3183
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file: official/vision/beta/ops/augment.py
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file: official/vision/beta/train_spatial_partitioning.py
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unit: def _resize_and_pad_masks()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/panoptic_segmentation_generator.py
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unit: def __init__()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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id: 3189
unit: def process_heatmap()
file: official/vision/beta/projects/centernet/modeling/layers/detection_generator.py
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size: 17 LOC
McCabe index: 3
number of parameters: 3

id: 3190
unit: def to_absolute_coordinates()
file: official/vision/beta/projects/centernet/ops/box_list_ops.py
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size: 17 LOC
McCabe index: 2
number of parameters: 5

id: 3191
unit: def random_adjust_brightness()
file: official/vision/beta/projects/centernet/ops/preprocess_ops.py
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size: 17 LOC
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number of parameters: 4

id: 3192
unit: def random_adjust_hue()
file: official/vision/beta/projects/centernet/ops/preprocess_ops.py
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size: 17 LOC
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number of parameters: 4

id: 3193
unit: def aggregated_comparative_iou()
file: official/vision/beta/projects/centernet/ops/nms_ops.py
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size: 17 LOC
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number of parameters: 3

id: 3194
unit: def segment_nms()
file: official/vision/beta/projects/centernet/ops/nms_ops.py
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size: 17 LOC
McCabe index: 1
number of parameters: 5

id: 3195
unit: def convert_checkpoint()
file: official/vision/beta/projects/centernet/utils/tf2_centernet_checkpoint_converter.py
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size: 17 LOC
McCabe index: 1
number of parameters: 6

id: 3196
unit: def build()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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id: 3197
unit: def build()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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id: 3198
unit: def __init__()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
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number of parameters: 15

id: 3199
unit: def intersect_and_union()
file: official/vision/beta/projects/yolo/ops/box_ops.py
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number of parameters: 3

id: 3200
unit: def _parse_eval_data()
file: official/vision/beta/projects/simclr/dataloaders/simclr_input.py
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id: 3201
unit: def main()
file: official/vision/beta/serving/export_tfhub.py
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id: 3202
unit: def sort_by_field()
file: official/vision/utils/object_detection/box_list_ops.py
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number of parameters: 4

id: 3203
unit: def draw_keypoints_on_image()
file: official/vision/utils/object_detection/visualization_utils.py
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size: 17 LOC
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number of parameters: 5

id: 3204
unit: def _encode()
file: official/vision/utils/object_detection/faster_rcnn_box_coder.py
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id: 3205
unit: def _decode()
file: official/vision/utils/object_detection/faster_rcnn_box_coder.py
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id: 3206
unit: def _read_files_then_shard()
file: official/core/input_reader.py
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number of parameters: 5

id: 3207
unit: def read_global_step_from_checkpoint()
file: official/core/train_utils.py
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number of parameters: 1

id: 3208
unit: def __init__()
file: official/core/export_base.py
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id: 3209
unit: def _validate_params()
file: official/core/base_trainer.py
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id: 3210
unit: def _construct_training_epoch()
file: official/recommendation/data_pipeline.py
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id: 3211
unit: def define_flags()
file: official/recommendation/ranking/common.py
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number of parameters: 0

id: 3212
unit: def build_stats()
file: official/recommendation/ncf_keras_main.py
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id: 3213
unit: def get_encoder()
file: official/projects/roformer/roformer.py
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McCabe index: 1
number of parameters: 1

id: 3214
unit: def initialize()
file: official/projects/mobilebert/distillation.py
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number of parameters: 2

id: 3215
unit: def make_local_relative_att_ids()
file: official/projects/triviaqa/inputs.py
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number of parameters: 7

id: 3216
unit: def _get_symbols_to_logits_fn()
file: official/projects/nhnet/models.py
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size: 17 LOC
McCabe index: 2
number of parameters: 2

id: 3217
unit: def get_config()
file: official/projects/volumetric_models/modeling/nn_blocks_3d.py
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size: 17 LOC
McCabe index: 1
number of parameters: 1

id: 3218
unit: def reduce_aggregated_logs()
file: official/projects/volumetric_models/tasks/semantic_segmentation_3d.py
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size: 17 LOC
McCabe index: 5
number of parameters: 4

id: 3219
unit: def from_name()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v1_model.py
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size: 17 LOC
McCabe index: 5
number of parameters: 6

id: 3220
unit: def label_anchors()
file: official/legacy/detection/dataloader/anchor.py
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size: 17 LOC
McCabe index: 1
number of parameters: 3

id: 3221
unit: def __init__()
file: official/legacy/detection/modeling/optimizers.py
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number of parameters: 2

id: 3222
unit: def pad_to_fixed_size()
file: official/legacy/detection/utils/input_utils.py
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size: 17 LOC
McCabe index: 2
number of parameters: 3

id: 3223
unit: def normalize_boxes()
file: official/legacy/detection/utils/box_utils.py
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number of parameters: 2

id: 3224
unit: def shuffle_records()
file: official/legacy/transformer/data_download.py
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end line: 0
size: 17 LOC
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number of parameters: 1

id: 3225
unit: def export_bert_tfhub()
file: official/legacy/bert/export_tfhub.py
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size: 17 LOC
McCabe index: 2
number of parameters: 5

id: 3226
unit: def main()
file: official/legacy/bert/serving.py
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size: 17 LOC
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number of parameters: 1

id: 3227
unit: def __call__()
file: official/legacy/image_classification/learning_rate.py
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number of parameters: 2

id: 3228
unit: def preprocess_for_train()
file: official/legacy/image_classification/preprocessing.py
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size: 17 LOC
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number of parameters: 6

id: 3229
unit: def _decode_crop_and_flip()
file: official/legacy/image_classification/resnet/imagenet_preprocessing.py
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size: 17 LOC
McCabe index: 4
number of parameters: 3

id: 3230
unit: def autocontrast()
file: official/legacy/image_classification/augment.py
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size: 17 LOC
McCabe index: 5
number of parameters: 1

id: 3231
unit: def policy_simple()
file: official/legacy/image_classification/augment.py
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size: 17 LOC
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number of parameters: 0

id: 3232
unit: def call()
file: official/nlp/modeling/layers/position_embedding.py
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number of parameters: 3

id: 3233
unit: def get_config()
file: official/nlp/modeling/layers/mobile_bert_layers.py
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number of parameters: 1

id: 3234
unit: def _make_output_dense()
file: official/nlp/modeling/layers/reuse_attention.py
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size: 17 LOC
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number of parameters: 5

id: 3235
unit: def __init__()
file: official/nlp/modeling/ops/beam_search.py
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number of parameters: 9

id: 3236
unit: def _compute_softmax()
file: official/nlp/data/squad_lib.py
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number of parameters: 1

id: 3237
unit: def _compute_softmax()
file: official/nlp/data/squad_lib_sp.py
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number of parameters: 1

id: 3238
unit: def _decode()
file: official/nlp/data/tagging_dataloader.py
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number of parameters: 2

id: 3239
unit: def __init__()
file: official/nlp/xlnet/xlnet_modeling.py
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id: 3240
unit: def build()
file: official/nlp/xlnet/xlnet_modeling.py
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number of parameters: 2

id: 3241
unit: def _compute_softmax()
file: official/nlp/xlnet/squad_utils.py
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size: 17 LOC
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number of parameters: 1

id: 3242
unit: def printable_text()
file: official/nlp/xlnet/preprocess_utils.py
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size: 17 LOC
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number of parameters: 1

id: 3243
unit: def create_squad_dataset()
file: official/nlp/xlnet/data_utils.py
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size: 17 LOC
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number of parameters: 4

id: 3244
unit: def get_bert_encoder()
file: official/nlp/tools/export_tfhub_lib.py
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number of parameters: 1

id: 3245
unit: def __init__()
file: official/nlp/tools/export_tfhub_lib.py
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number of parameters: 2

id: 3246
unit: def _check_no_assert()
file: official/nlp/tools/export_tfhub_lib.py
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size: 17 LOC
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number of parameters: 1

id: 3247
unit: def convert_to_unicode()
file: official/nlp/tools/tokenization.py
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size: 17 LOC
McCabe index: 7
number of parameters: 1

id: 3248
unit: def printable_text()
file: official/nlp/tools/tokenization.py
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size: 17 LOC
McCabe index: 9
number of parameters: 1

id: 3249
unit: def _run_split_on_punc()
file: official/nlp/tools/tokenization.py
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size: 17 LOC
McCabe index: 5
number of parameters: 2

id: 3250
unit: def _padded_cross_entropy_loss()
file: official/nlp/tasks/translation.py
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number of parameters: 4

id: 3251
unit: def build_model()
file: official/nlp/tasks/translation.py
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number of parameters: 1

id: 3252
unit: def build_losses()
file: official/nlp/tasks/dual_encoder.py
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number of parameters: 4

id: 3253
unit: def build_losses()
file: official/nlp/tasks/question_answering.py
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number of parameters: 4

id: 3254
unit: def build_model()
file: official/nlp/tasks/tagging.py
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McCabe index: 4
number of parameters: 1

id: 3255
unit: def make_distributed_dataset()
file: orbit/utils/common.py
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McCabe index: 6
number of parameters: 4

id: 3256
unit: def next_batch()
file: research/vid2depth/ops/icp_train_demo.py
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number of parameters: 2

id: 3257
unit: Eigen::Vector3f DecomposeRotationScale()
file: research/vid2depth/ops/icp_op_kernel.cc
start line: 249
end line: 274
size: 17 LOC
McCabe index: 1
number of parameters: 1

id: 3258
unit: def load_intrinsics()
file: research/vid2depth/dataset/dataset_loader.py
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size: 17 LOC
McCabe index: 3
number of parameters: 3

id: 3259
unit: def negative_mse()
file: research/efficient-hrl/context/rewards_functions.py
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McCabe index: 2
number of parameters: 8

id: 3260
unit: def log_probs()
file: research/efficient-hrl/agent.py
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McCabe index: 2
number of parameters: 5

id: 3261
unit: def every_n_episodes()
file: research/efficient-hrl/cond_fn.py
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number of parameters: 8

id: 3262
unit: def gather()
file: research/efficient-hrl/agents/circular_buffer.py
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McCabe index: 4
number of parameters: 3

id: 3263
unit: def _shake_shake_skip_connection()
file: research/autoaugment/shake_shake.py
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number of parameters: 3

id: 3264
unit: def build_shake_shake_model()
file: research/autoaugment/shake_shake.py
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number of parameters: 4

id: 3265
unit: def call()
file: research/seq_flow_lite/layers/misc_layers.py
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McCabe index: 3
number of parameters: 4

id: 3266
unit: def sgnn()
file: research/seq_flow_lite/models/sgnn/sgnn.py
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number of parameters: 3

id: 3267
unit: def get_span_labels()
file: research/cvt_text/task_specific/word_level/tagging_utils.py
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number of parameters: 2

id: 3268
unit: def _get_bidirectional_reprs()
file: research/cvt_text/model/encoder.py
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number of parameters: 2

id: 3269
unit: def save_if_best_dev_model()
file: research/cvt_text/training/training_progress.py
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number of parameters: 3

id: 3270
unit: def __call__()
file: research/adversarial_text/layers.py
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McCabe index: 4
number of parameters: 4

id: 3271
unit: def _ComputeRasmk()
file: research/delf/delf/python/feature_aggregation_extractor.py
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number of parameters: 5

id: 3272
unit: def ApplyPcaAndWhitening()
file: research/delf/delf/python/feature_extractor.py
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number of parameters: 6

id: 3273
unit: def _convert_to_example()
file: research/delf/delf/python/training/build_image_dataset.py
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number of parameters: 5

id: 3274
unit: def _create_backbone_classifier()
file: research/delf/delf/python/training/model/delg_model.py
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number of parameters: 2

id: 3275
unit: def cosine_classifier_logits()
file: research/delf/delf/python/training/model/delg_model.py
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number of parameters: 7

id: 3276
unit: def __init__()
file: research/delf/delf/python/pooling_layers/pooling.py
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number of parameters: 4

id: 3277
unit: def multiply_by_eta_per_unit()
file: research/rebar/rebar.py
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number of parameters: 3

id: 3278
unit: def create_lstm_cell()
file: research/lstm_object_detection/models/lstm_ssd_mobilenet_v1_feature_extractor.py
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size: 17 LOC
McCabe index: 2
number of parameters: 6

id: 3279
unit: def _largest_detection_for_image()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
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McCabe index: 6
number of parameters: 3

id: 3280
unit: def __init__()
file: research/cognitive_planning/tasks.py
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McCabe index: 3
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id: 3281
unit: def conjugate_gradient()
file: research/pcl_rl/trust_region.py
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McCabe index: 3
number of parameters: 4

id: 3282
unit: def get_cell()
file: research/pcl_rl/policy.py
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McCabe index: 1
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id: 3283
unit: def get_controller()
file: research/pcl_rl/trainer.py
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McCabe index: 1
number of parameters: 2

id: 3284
unit: def shuffle_and_flatten_datasets()
file: research/lfads/lfads.py
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McCabe index: 2
number of parameters: 3

id: 3285
unit: def create_mparams()
file: research/attention_ocr/python/common_flags.py
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id: 3286
unit: def __init__()
file: research/attention_ocr/python/sequence_layers.py
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id: 3287
unit: def __init__()
file: research/attention_ocr/python/model.py
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McCabe index: 2
number of parameters: 7

id: 3288
unit: def preprocess_image()
file: research/attention_ocr/python/data_provider.py
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number of parameters: 4

id: 3289
unit: def _insert_additional_projection_layer()
file: research/object_detection/predictors/convolutional_keras_box_predictor.py
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number of parameters: 3

id: 3290
unit: def _tf_example_input_placeholder()
file: research/object_detection/exporter.py
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McCabe index: 2
number of parameters: 1

id: 3291
unit: def _encode()
file: research/object_detection/box_coders/faster_rcnn_box_coder.py
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number of parameters: 3

id: 3292
unit: def _decode()
file: research/object_detection/box_coders/faster_rcnn_box_coder.py
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McCabe index: 2
number of parameters: 3

id: 3293
unit: def __init__()
file: research/object_detection/metrics/lvis_evaluation.py
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McCabe index: 3
number of parameters: 4

id: 3294
unit: def build_predictions_dictionary()
file: research/object_detection/metrics/oid_challenge_evaluation_utils.py
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McCabe index: 2
number of parameters: 2

id: 3295
unit: def _build_faster_rcnn_feature_extractor()
file: research/object_detection/builders/model_builder.py
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end line: 0
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McCabe index: 3
number of parameters: 4

id: 3296
unit: def sort_by_field()
file: research/object_detection/core/box_list_ops.py
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McCabe index: 5
number of parameters: 4

id: 3297
unit: def random_pixel_value_scale()
file: research/object_detection/core/preprocessor.py
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size: 17 LOC
McCabe index: 1
number of parameters: 5

id: 3298
unit: def random_rgb_to_gray()
file: research/object_detection/core/preprocessor.py
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size: 17 LOC
McCabe index: 2
number of parameters: 4

id: 3299
unit: def random_adjust_brightness()
file: research/object_detection/core/preprocessor.py
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McCabe index: 1
number of parameters: 4

id: 3300
unit: def __init__()
file: research/object_detection/core/target_assigner.py
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McCabe index: 1
number of parameters: 9

id: 3301
unit: def __init__()
file: research/object_detection/anchor_generators/grid_anchor_generator.py
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McCabe index: 4
number of parameters: 4

id: 3302
unit: def padded_one_hot_encoding()
file: research/object_detection/utils/ops.py
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McCabe index: 7
number of parameters: 3

id: 3303
unit: def get_estimator_eval_metric_ops()
file: research/object_detection/utils/object_detection_evaluation.py
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McCabe index: 2
number of parameters: 2

id: 3304
unit: def _get_overlaps_and_scores_box_mode()
file: research/object_detection/utils/per_image_evaluation.py
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McCabe index: 1
number of parameters: 5

id: 3305
unit: def __new__()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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McCabe index: 1
number of parameters: 11

id: 3306
unit: def __init__()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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McCabe index: 4
number of parameters: 5

id: 3307
unit: def predict_masks_from_boxes()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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size: 17 LOC
McCabe index: 2
number of parameters: 5

id: 3308
unit: def _build_plain_hierarchy()
file: research/object_detection/dataset_tools/oid_hierarchical_labels_expansion.py
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end line: 0
size: 17 LOC
McCabe index: 5
number of parameters: 2

id: 3309
unit: def main()
file: research/object_detection/dataset_tools/context_rcnn/create_cococameratraps_tfexample_main.py
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end line: 0
size: 17 LOC
McCabe index: 1
number of parameters: 2

id: 3310
unit: def __init__()
file: research/object_detection/models/keras_models/mobilenet_v1.py
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end line: 0
size: 17 LOC
McCabe index: 1
number of parameters: 8

id: 3311
unit: def __init__()
file: research/object_detection/models/keras_models/hourglass_network.py
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size: 17 LOC
McCabe index: 5
number of parameters: 6

id: 3312
unit: def __init__()
file: research/object_detection/models/keras_models/mobilenet_v2.py
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end line: 0
size: 17 LOC
McCabe index: 1
number of parameters: 8

id: 3313
unit: def _fused_conv()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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size: 17 LOC
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number of parameters: 8

id: 3314
unit: def __init__()
file: research/object_detection/models/faster_rcnn_resnet_v1_feature_extractor.py
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size: 17 LOC
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number of parameters: 9

id: 3315
unit: def __init__()
file: research/object_detection/models/embedded_ssd_mobilenet_v1_feature_extractor.py
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size: 17 LOC
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number of parameters: 10

id: 3316
unit: def training_scope()
file: research/object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor.py
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size: 17 LOC
McCabe index: 2
number of parameters: 2

id: 3317
unit: def create_tf_record_for_visualwakewords_dataset()
file: research/slim/datasets/download_and_convert_visualwakewords_lib.py
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end line: 0
size: 17 LOC
McCabe index: 4
number of parameters: 4

id: 3318
unit: def block_reduction_a()
file: research/slim/nets/inception_v4.py
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size: 17 LOC
McCabe index: 2
number of parameters: 3

id: 3319
unit: def _create_input_tensors()
file: research/deeplab/export_model.py
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size: 17 LOC
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number of parameters: 0

id: 3320
unit: def get_label_weight_mask()
file: research/deeplab/core/utils.py
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size: 17 LOC
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number of parameters: 4

id: 3321
unit: def _is_thing_array()
file: research/deeplab/evaluation/eval_coco_format.py
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size: 17 LOC
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number of parameters: 2

id: 3322
unit: def _get_subconfig_type()
file: official/modeling/hyperparams/base_config.py
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size: 16 LOC
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number of parameters: 2

id: 3323
unit: def __init__()
file: official/modeling/optimization/lr_schedule.py
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number of parameters: 6

id: 3324
unit: def __init__()
file: official/modeling/fast_training/progressive/policies.py
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number of parameters: 1

id: 3325
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_layers.py
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number of parameters: 1

id: 3326
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_layers.py
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number of parameters: 1

id: 3327
unit: def get_config()
file: official/vision/beta/modeling/backbones/resnet_deeplab.py
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number of parameters: 1

id: 3328
unit: def _load_caption_annotations()
file: official/vision/beta/data/create_coco_tf_record.py
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size: 16 LOC
McCabe index: 4
number of parameters: 1

id: 3329
unit: def _prepare_image_and_label()
file: official/vision/beta/dataloaders/segmentation_input.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 2

id: 3330
unit: def create_3d_image_test_example()
file: official/vision/beta/dataloaders/tfexample_utils.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 4

id: 3331
unit: def create_segmentation_test_example()
file: official/vision/beta/dataloaders/tfexample_utils.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 3

id: 3332
unit: def random_crop_image()
file: official/vision/beta/ops/preprocess_ops.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 3

id: 3333
unit: def generate_annotation_file()
file: official/vision/beta/evaluation/coco_utils.py
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end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 2

id: 3334
unit: def _call_convnet_variant()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/instance_heads.py
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end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 2

id: 3335
unit: def call()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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size: 16 LOC
McCabe index: 4
number of parameters: 2

id: 3336
unit: def max_distance_for_overlap()
file: official/vision/beta/projects/centernet/ops/target_assigner.py
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end line: 0
size: 16 LOC
McCabe index: 8
number of parameters: 3

id: 3337
unit: def _call_csp()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 3

id: 3338
unit: def _process_image()
file: official/vision/beta/projects/yolo/ops/mosaic.py
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size: 16 LOC
McCabe index: 1
number of parameters: 6

id: 3339
unit: def pad_max_instances()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 4

id: 3340
unit: def _darknet_new_coord_boxes()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
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size: 16 LOC
McCabe index: 4
number of parameters: 7

id: 3341
unit: def _anchor_free_scale_boxes()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
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size: 16 LOC
McCabe index: 5
number of parameters: 6

id: 3342
unit: def _parse_train_data()
file: official/vision/beta/projects/simclr/dataloaders/simclr_input.py
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end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 2

id: 3343
unit: def aggregate_logs()
file: official/vision/beta/tasks/maskrcnn.py
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end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 3

id: 3344
unit: def build_inputs()
file: official/vision/beta/tasks/video_classification.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 3

id: 3345
unit: def __init__()
file: official/vision/beta/serving/export_base.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 8

id: 3346
unit: def inference_from_tf_example()
file: official/vision/beta/serving/export_base.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 2

id: 3347
unit: def export_model_to_tfhub()
file: official/vision/beta/serving/export_tfhub.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 6

id: 3348
unit: def get_image_input_signatures()
file: official/vision/beta/serving/export_utils.py
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end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 4

id: 3349
unit: def to_normalized_coordinates()
file: official/vision/utils/object_detection/box_list_ops.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 5

id: 3350
unit: def draw_bounding_boxes_on_image()
file: official/vision/utils/object_detection/visualization_utils.py
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end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 5

id: 3351
unit: def add_hist_image_summary()
file: official/vision/utils/object_detection/visualization_utils.py
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size: 16 LOC
McCabe index: 1
number of parameters: 3

id: 3352
unit: def read()
file: official/core/input_reader.py
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number of parameters: 3

id: 3353
unit: def maybe_create_best_ckpt_exporter()
file: official/core/train_utils.py
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size: 16 LOC
McCabe index: 4
number of parameters: 2

id: 3354
unit: def validation_step()
file: official/core/base_task.py
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size: 16 LOC
McCabe index: 8
number of parameters: 4

id: 3355
unit: def define_image()
file: official/utils/flags/_misc.py
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size: 16 LOC
McCabe index: 2
number of parameters: 1

id: 3356
unit: def set_gpu_thread_mode_and_count()
file: official/utils/misc/keras_utils.py
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end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 4

id: 3357
unit: def data_generator()
file: official/recommendation/data_pipeline.py
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end line: 0
size: 16 LOC
McCabe index: 7
number of parameters: 2

id: 3358
unit: def construct_lookup_variables()
file: official/recommendation/data_pipeline.py
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size: 16 LOC
McCabe index: 3
number of parameters: 1

id: 3359
unit: def _transform_csv()
file: official/recommendation/movielens.py
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size: 16 LOC
McCabe index: 9
number of parameters: 6

id: 3360
unit: def get_config()
file: official/projects/movinet/modeling/movinet_layers.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 1

id: 3361
unit: def top_k_by_class()
file: official/projects/yt8m/eval_utils/eval_util.py
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end line: 0
size: 16 LOC
McCabe index: 7
number of parameters: 3

id: 3362
unit: def accumulate()
file: official/projects/yt8m/eval_utils/eval_util.py
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size: 16 LOC
McCabe index: 1
number of parameters: 3

id: 3363
unit: def build_basnet_encoder()
file: official/projects/basnet/modeling/basnet_model.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 3

id: 3364
unit: def aggregate_logs()
file: official/projects/basnet/tasks/basnet.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 3

id: 3365
unit: def build_metrics()
file: official/projects/mobilebert/distillation.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 2

id: 3366
unit: def train_step()
file: official/projects/mobilebert/distillation.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 5

id: 3367
unit: def _maximum_bipartite_matching()
file: official/projects/detr/ops/matchers.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 2

id: 3368
unit: def create_transformer_model()
file: official/projects/nhnet/models.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 2

id: 3369
unit: def process_multidoc_dataset()
file: official/projects/nhnet/input_pipeline.py
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size: 16 LOC
McCabe index: 3
number of parameters: 3

id: 3370
unit: def _write_story_partition()
file: official/projects/nhnet/raw_data_processor.py
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size: 16 LOC
McCabe index: 3
number of parameters: 2

id: 3371
unit: def transform_as_tfrecords()
file: official/projects/nhnet/raw_data_process.py
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size: 16 LOC
McCabe index: 2
number of parameters: 2

id: 3372
unit: def train_step()
file: official/projects/nhnet/trainer.py
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McCabe index: 2
number of parameters: 2

id: 3373
unit: def get_config()
file: official/projects/volumetric_models/modeling/nn_blocks_3d.py
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McCabe index: 1
number of parameters: 1

id: 3374
unit: def call()
file: official/projects/volumetric_models/modeling/heads/segmentation_heads_3d.py
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size: 16 LOC
McCabe index: 5
number of parameters: 7

id: 3375
unit: def conv2d_block()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
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McCabe index: 2
number of parameters: 5

id: 3376
unit: def call()
file: official/projects/edgetpu/vision/modeling/custom_layers.py
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McCabe index: 4
number of parameters: 2

id: 3377
unit: def _parse_eval_image()
file: official/projects/edgetpu/vision/dataloaders/classification_input.py
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McCabe index: 3
number of parameters: 2

id: 3378
unit: def call()
file: official/projects/edgetpu/vision/tasks/semantic_segmentation.py
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size: 16 LOC
McCabe index: 5
number of parameters: 3

id: 3379
unit: def build_metrics()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 1

id: 3380
unit: def build_exported_ckpt_manager()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 1

id: 3381
unit: def decoder_net()
file: official/legacy/detection/modeling/architecture/heads.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 3

id: 3382
unit: def build_executor()
file: official/legacy/detection/executor/distributed_executor.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 6

id: 3383
unit: def feature_bilinear_interpolation()
file: official/legacy/detection/ops/spatial_transform_ops.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 3

id: 3384
unit: def __call__()
file: official/legacy/detection/ops/target_ops.py
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McCabe index: 1
number of parameters: 5

id: 3385
unit: def config_generator()
file: official/legacy/detection/configs/factory.py
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McCabe index: 5
number of parameters: 1

id: 3386
unit: def compute_outer_boxes()
file: official/legacy/detection/utils/box_utils.py
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size: 16 LOC
McCabe index: 2
number of parameters: 3

id: 3387
unit: def coco_split_class_ids()
file: official/legacy/detection/utils/class_utils.py
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end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 1

id: 3388
unit: def _generate_synthetic_data()
file: official/legacy/transformer/data_pipeline.py
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size: 16 LOC
McCabe index: 2
number of parameters: 1

id: 3389
unit: def update_stats()
file: official/legacy/transformer/misc.py
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size: 16 LOC
McCabe index: 8
number of parameters: 3

id: 3390
unit: def predict()
file: official/legacy/transformer/transformer_main.py
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size: 16 LOC
McCabe index: 2
number of parameters: 1

id: 3391
unit: def _create_optimizer()
file: official/legacy/transformer/transformer_main.py
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size: 16 LOC
McCabe index: 1
number of parameters: 1

id: 3392
unit: def download_and_extract()
file: official/legacy/transformer/data_download.py
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size: 16 LOC
McCabe index: 7
number of parameters: 4

id: 3393
unit: def compile_files()
file: official/legacy/transformer/data_download.py
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size: 16 LOC
McCabe index: 2
number of parameters: 3

id: 3394
unit: def get_pretrain_dataset_fn()
file: official/legacy/bert/run_pretraining.py
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size: 16 LOC
McCabe index: 1
number of parameters: 5

id: 3395
unit: def from_name()
file: official/legacy/image_classification/efficientnet/efficientnet_model.py
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McCabe index: 5
number of parameters: 6

id: 3396
unit: def export_tfhub()
file: official/legacy/image_classification/efficientnet/tfhub_export.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 3

id: 3397
unit: def __init__()
file: official/nlp/modeling/layers/masked_lm.py
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McCabe index: 2
number of parameters: 7

id: 3398
unit: def extract_gp_layer_kwargs()
file: official/nlp/modeling/layers/cls_head.py
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McCabe index: 1
number of parameters: 1

id: 3399
unit: def call()
file: official/nlp/modeling/layers/self_attention_mask.py
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McCabe index: 4
number of parameters: 3

id: 3400
unit: def update_weights()
file: official/nlp/modeling/layers/spectral_normalization.py
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McCabe index: 3
number of parameters: 3

id: 3401
unit: def call()
file: official/nlp/modeling/layers/text_layers.py
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McCabe index: 2
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id: 3402
unit: def call()
file: official/nlp/modeling/layers/multi_channel_attention.py
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id: 3403
unit: def call()
file: official/nlp/modeling/layers/mobile_bert_layers.py
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number of parameters: 3

id: 3404
unit: def _create_truncated_avg_transforms()
file: official/nlp/modeling/networks/funnel_transformer.py
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McCabe index: 6
number of parameters: 2

id: 3405
unit: def get_config()
file: official/nlp/modeling/models/seq2seq_transformer.py
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number of parameters: 1

id: 3406
unit: def __call__()
file: official/nlp/modeling/models/t5.py
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id: 3407
unit: def __call__()
file: official/nlp/modeling/models/t5.py
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McCabe index: 4
number of parameters: 3

id: 3408
unit: def load()
file: official/nlp/data/wmt_dataloader.py
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McCabe index: 4
number of parameters: 2

id: 3409
unit: def __init__()
file: official/nlp/data/pretrain_dynamic_dataloader.py
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McCabe index: 2
number of parameters: 2

id: 3410
unit: def _create_examples()
file: official/nlp/data/classifier_data_lib.py
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McCabe index: 5
number of parameters: 2

id: 3411
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
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McCabe index: 3
number of parameters: 2

id: 3412
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
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McCabe index: 3
number of parameters: 2

id: 3413
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
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McCabe index: 3
number of parameters: 2

id: 3414
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
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McCabe index: 3
number of parameters: 2

id: 3415
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
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McCabe index: 3
number of parameters: 2

id: 3416
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
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McCabe index: 3
number of parameters: 2

id: 3417
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
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McCabe index: 3
number of parameters: 2

id: 3418
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
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McCabe index: 3
number of parameters: 2

id: 3419
unit: def _check_is_max_context()
file: official/nlp/data/squad_lib.py
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McCabe index: 16
number of parameters: 3

id: 3420
unit: def shuffle_and_combine_preprocessed_data()
file: official/nlp/data/create_xlnet_pretraining_data.py
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McCabe index: 5
number of parameters: 2

id: 3421
unit: def _check_is_max_context()
file: official/nlp/data/squad_lib_sp.py
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McCabe index: 16
number of parameters: 3

id: 3422
unit: def _parse()
file: official/nlp/data/sentence_prediction_dataloader.py
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McCabe index: 4
number of parameters: 3

id: 3423
unit: def _decode()
file: official/nlp/data/pretrain_dataloader.py
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McCabe index: 3
number of parameters: 2

id: 3424
unit: def dump_chars_to_textfile()
file: official/nlp/data/train_sentencepiece.py
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size: 16 LOC
McCabe index: 6
number of parameters: 3

id: 3425
unit: def call()
file: official/nlp/xlnet/xlnet_modeling.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 2

id: 3426
unit: def _check_is_max_context()
file: official/nlp/xlnet/squad_utils.py
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end line: 0
size: 16 LOC
McCabe index: 16
number of parameters: 3

id: 3427
unit: def _create_examples()
file: official/nlp/xlnet/preprocess_classification_data.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 2

id: 3428
unit: def _create_bert_model()
file: official/nlp/tools/tf2_bert_encoder_checkpoint_converter.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 1

id: 3429
unit: def tokenize()
file: official/nlp/tools/tokenization.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 2

id: 3430
unit: def _create_albert_model()
file: official/nlp/tools/tf2_albert_encoder_checkpoint_converter.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 1

id: 3431
unit: def build_metrics()
file: official/nlp/tasks/electra_task.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 2

id: 3432
unit: def process_metrics()
file: official/nlp/tasks/electra_task.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 4

id: 3433
unit: def build_inputs()
file: official/nlp/tasks/translation.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 3

id: 3434
unit: def build_model()
file: official/nlp/tasks/dual_encoder.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 1

id: 3435
unit: def build_model()
file: official/nlp/tasks/question_answering.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 1

id: 3436
unit: def _dummy_data()
file: official/nlp/tasks/question_answering.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 3

id: 3437
unit: def serve_examples()
file: official/nlp/serving/serving_modules.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 2

id: 3438
unit: def serve_examples()
file: official/nlp/serving/serving_modules.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 2

id: 3439
unit: def __init__()
file: orbit/actions/new_best_metric.py
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end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 4

id: 3440
unit: def create_loop_fn()
file: orbit/utils/loop_fns.py
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end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 1

id: 3441
unit: def __call__()
file: research/efficient-hrl/context/samplers.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 3

id: 3442
unit: def _get_obs()
file: research/efficient-hrl/environments/maze_env.py
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end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 1

id: 3443
unit: def _validate()
file: research/efficient-hrl/agents/circular_buffer.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 2

id: 3444
unit: def update_targets()
file: research/efficient-hrl/agents/ddpg_agent.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 2

id: 3445
unit: def update_targets()
file: research/efficient-hrl/agents/ddpg_agent.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 2

id: 3446
unit: def create_cutout_mask()
file: research/autoaugment/augmentation_transforms.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 4

id: 3447
unit: def _run_training_loop()
file: research/autoaugment/train_cifar.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 3

id: 3448
unit: def build()
file: research/seq_flow_lite/layers/normalization_layers.py
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end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 2

id: 3449
unit: def __init__()
file: research/seq_flow_lite/layers/dense_layers.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 3

id: 3450
unit: def call()
file: research/seq_flow_lite/layers/quantization_layers.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 2

id: 3451
unit: def __init__()
file: research/seq_flow_lite/layers/qrnn_layers.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 6

id: 3452
unit: def _create_qrnn_pooling_unidirectional()
file: research/seq_flow_lite/layers/qrnn_layers.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 3

id: 3453
unit: def check_op_histogram()
file: research/seq_flow_lite/utils/tflite_utils.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 2

id: 3454
unit: def project()
file: research/seq_flow_lite/models/sgnn/sgnn.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 3

id: 3455
unit: def call()
file: research/seq_flow_lite/models/prado.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 3

id: 3456
unit: def __init__()
file: research/adversarial_text/layers.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 7

id: 3457
unit: def _read_single_sequence_example()
file: research/adversarial_text/inputs.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 2

id: 3458
unit: def main()
file: research/adversarial_text/gen_vocab.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 1

id: 3459
unit: def _kl_divergence_with_logits()
file: research/adversarial_text/adversarial_losses.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 3

id: 3460
unit: def ReadDatasetFile()
file: research/delf/delf/python/datasets/revisited_op/dataset.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 1

id: 3461
unit: def ParseEasyMediumHardGroundTruth()
file: research/delf/delf/python/datasets/revisited_op/dataset.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 1

id: 3462
unit: def _ReadDelgGlobalDescriptors()
file: research/delf/delf/python/delg/perform_retrieval.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 2

id: 3463
unit: def learn_whitening()
file: research/delf/delf/python/whiten.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 3

id: 3464
unit: def ExtractFeatures()
file: research/delf/delf/python/training/model/export_local_model.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 5

id: 3465
unit: def ExtractFeatures()
file: research/delf/delf/python/training/model/export_global_model.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 4

id: 3466
unit: def __init__()
file: research/delf/delf/python/training/model/delf_model.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 4

id: 3467
unit: def partial_eval()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 3

id: 3468
unit: bool MobileSSDTfLiteClient::FloatInference()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 440
end line: 460
size: 16 LOC
McCabe index: 4
number of parameters: 1

id: 3469
unit: bool MobileSSDTfLiteClient::QuantizedInference()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 462
end line: 480
size: 16 LOC
McCabe index: 4
number of parameters: 1

id: 3470
unit: def vertex_to_pose()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 2

id: 3471
unit: def _crop()
file: research/cognitive_planning/preprocessing/vgg_preprocessing.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 5

id: 3472
unit: def draw_bounding_boxes_on_image()
file: research/cognitive_planning/visualization_utils.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 5

id: 3473
unit: def draw_keypoints_on_image()
file: research/cognitive_planning/visualization_utils.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 7
number of parameters: 5

id: 3474
unit: def add_hist_image_summary()
file: research/cognitive_planning/visualization_utils.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 3

id: 3475
unit: def multi_step()
file: research/pcl_rl/policy.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 4

id: 3476
unit: def __init__()
file: research/pcl_rl/baseline.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 9

id: 3477
unit: def __init__()
file: research/lfads/distributions.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 3

id: 3478
unit: def flatten()
file: research/lfads/utils.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 1

id: 3479
unit: def load_datasets()
file: research/lfads/run_lfads.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 2

id: 3480
unit: def central_crop()
file: research/attention_ocr/python/data_provider.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 2

id: 3481
unit: def _predict_head()
file: research/object_detection/predictors/convolutional_box_predictor.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 7

id: 3482
unit: def __init__()
file: research/object_detection/predictors/heads/box_head.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 8

id: 3483
unit: def __init__()
file: research/object_detection/predictors/heads/mask_head.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 8

id: 3484
unit: def _decode_png_instance_masks()
file: research/object_detection/data_decoders/tf_example_decoder.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 2

id: 3485
unit: def _decode()
file: research/object_detection/box_coders/square_box_coder.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 3

id: 3486
unit: def get_prediction_tensor_shapes()
file: research/object_detection/tpu_exporters/faster_rcnn.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 1

id: 3487
unit: def get_prediction_tensor_shapes()
file: research/object_detection/tpu_exporters/ssd.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 1

id: 3488
unit: def add_single_ground_truth_image_info()
file: research/object_detection/metrics/coco_evaluation.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 3

id: 3489
unit: def _build_localization_loss()
file: research/object_detection/builders/losses_builder.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 7
number of parameters: 1

id: 3490
unit: def build()
file: research/object_detection/builders/graph_rewriter_builder.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 2

id: 3491
unit: def filter_greater_than()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 3

id: 3492
unit: def random_adjust_hue()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 4

id: 3493
unit: def resize_pad_to_multiple()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 3

id: 3494
unit: def max_distance_for_overlap()
file: research/object_detection/core/target_assigner.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 8
number of parameters: 3

id: 3495
unit: def filter_mask_overlap_min_area()
file: research/object_detection/core/target_assigner.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 1

id: 3496
unit: def __init__()
file: research/object_detection/anchor_generators/multiscale_grid_anchor_generator.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 7

id: 3497
unit: def check_min_image_dim()
file: research/object_detection/utils/shape_utils.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 2

id: 3498
unit: def native_crop_and_resize()
file: research/object_detection/utils/spatial_transform_ops.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 4

id: 3499
unit: def _process_groundtruth_boxes()
file: research/object_detection/utils/vrd_evaluation.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 2

id: 3500
unit: def _process_detection_boxes()
file: research/object_detection/utils/vrd_evaluation.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 2

id: 3501
unit: def fpn_feature_levels()
file: research/object_detection/utils/ops.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 4

id: 3502
unit: def coordinates_to_heatmap()
file: research/object_detection/utils/target_assigner_utils.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 8

id: 3503
unit: def draw_bounding_boxes_on_image()
file: research/object_detection/utils/visualization_utils.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 5

id: 3504
unit: def draw_mask_on_image_array()
file: research/object_detection/utils/visualization_utils.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 4

id: 3505
unit: def add_hist_image_summary()
file: research/object_detection/utils/visualization_utils.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 3

id: 3506
unit: def __init__()
file: research/object_detection/utils/visualization_utils.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 8

id: 3507
unit: def __init__()
file: research/object_detection/utils/visualization_utils.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 8

id: 3508
unit: def get_spatial_image_size()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 1

id: 3509
unit: def merge_external_params_with_configs()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 8
number of parameters: 3

id: 3510
unit: def _update_candidate_ranking_mode()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 2

id: 3511
unit: def ensure_checkpoint_supported()
file: research/object_detection/utils/variables_helper.py
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end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 3

id: 3512
unit: def build_input()
file: research/object_detection/inference/detection_inference.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 1

id: 3513
unit: def _make_prediction_net_list()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 4

id: 3514
unit: def _compute_clip_window()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 3

id: 3515
unit: def __init__()
file: research/object_detection/meta_architectures/context_rcnn_lib_tf2.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 8

id: 3516
unit: def _extract_box_classifier_features()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 2

id: 3517
unit: def _extract_proposal_features()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 2

id: 3518
unit: def _add_detection_box_rpn_features_output_node()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 4

id: 3519
unit: def _compute_second_stage_input_feature_maps()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 5

id: 3520
unit: def boxes_to_box_components()
file: research/object_detection/dataset_tools/seq_example_util.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 1

id: 3521
unit: def construct_pipeline()
file: research/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 8

id: 3522
unit: def call()
file: research/object_detection/models/keras_models/hourglass_network.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 4
number of parameters: 2

id: 3523
unit: def __init__()
file: research/object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 8

id: 3524
unit: def __init__()
file: research/object_detection/models/ssd_resnet_v1_ppn_feature_extractor.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 10

id: 3525
unit: def __init__()
file: research/object_detection/models/ssd_resnet_v1_ppn_feature_extractor.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 10

id: 3526
unit: def __init__()
file: research/object_detection/models/ssd_resnet_v1_ppn_feature_extractor.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 10

id: 3527
unit: def call()
file: research/object_detection/models/feature_map_generators.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 2

id: 3528
unit: def test_preprocess_returns_correct_value_range()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 1

id: 3529
unit: def test_variable_count()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 1

id: 3530
unit: def mobilenet_v2_fpn()
file: research/object_detection/models/center_net_mobilenet_v2_fpn_feature_extractor.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 7

id: 3531
unit: def __init__()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 8

id: 3532
unit: def _slice_shape_along_axis()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 5
number of parameters: 4

id: 3533
unit: def __init__()
file: research/object_detection/models/faster_rcnn_resnet_keras_feature_extractor.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 7

id: 3534
unit: def _add_to_tfrecord()
file: research/slim/datasets/download_and_convert_mnist.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 4

id: 3535
unit: def preprocess_for_eval()
file: research/slim/preprocessing/cifarnet_preprocessing.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 7
number of parameters: 5

id: 3536
unit: def _crop()
file: research/slim/preprocessing/vgg_preprocessing.py
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end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 5

id: 3537
unit: def preprocess_for_train()
file: research/slim/preprocessing/vgg_preprocessing.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 6

id: 3538
unit: def build_model()
file: research/slim/nets/mobilenet_v1_eval.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 0

id: 3539
unit: def _sum_clones_gradients()
file: research/slim/deployment/model_deploy.py
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end line: 0
size: 16 LOC
McCabe index: 6
number of parameters: 1

id: 3540
unit: def __init__()
file: research/deep_speech/data/featurizer.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 2

id: 3541
unit: def __init__()
file: research/deeplab/core/nas_cell.py
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end line: 0
size: 16 LOC
McCabe index: 3
number of parameters: 9

id: 3542
unit: def _apply_drop_path()
file: research/deeplab/core/nas_cell.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 2
number of parameters: 2

id: 3543
unit: def postprocess()
file: research/audioset/vggish/vggish_postprocess.py
start line: 0
end line: 0
size: 16 LOC
McCabe index: 1
number of parameters: 2

id: 3544
unit: def configure_optimizer()
file: official/modeling/performance.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 4

id: 3545
unit: def train_step()
file: official/modeling/multitask/interleaving_trainer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 2

id: 3546
unit: def get_task_sampler()
file: official/modeling/multitask/task_sampler.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 3

id: 3547
unit: def call()
file: official/vision/beta/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 3

id: 3548
unit: def round_filters()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 6

id: 3549
unit: def __init__()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 4

id: 3550
unit: def get_config()
file: official/vision/beta/modeling/backbones/mobiledet.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3551
unit: def __init__()
file: official/vision/beta/modeling/segmentation_model.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 6

id: 3552
unit: def pad_groundtruths_to_fixed_size()
file: official/vision/beta/dataloaders/utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 3

id: 3553
unit: def decode()
file: official/vision/beta/dataloaders/tfds_segmentation_decoders.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 3554
unit: def compute_outer_boxes()
file: official/vision/beta/ops/box_ops.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 3

id: 3555
unit: def unwrap()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 2

id: 3556
unit: def _get_values_from_start_and_end()
file: official/vision/beta/ops/sampling_ops.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 5

id: 3557
unit: def call()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/paste_masks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 2

id: 3558
unit: def __init__()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 6

id: 3559
unit: def single_stage_hourglass()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 6

id: 3560
unit: def get_config()
file: official/vision/beta/projects/centernet/modeling/backbones/hourglass.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3561
unit: def load_weights_model()
file: official/vision/beta/projects/centernet/utils/checkpoints/load_weights.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 4

id: 3562
unit: def build_metrics()
file: official/vision/beta/projects/centernet/tasks/centernet.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 2

id: 3563
unit: def _parse_eval_image()
file: official/vision/beta/projects/yolo/dataloaders/classification_input.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 3564
unit: def smallest_encompassing_box()
file: official/vision/beta/projects/yolo/ops/box_ops.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 4

id: 3565
unit: def compute_giou()
file: official/vision/beta/projects/yolo/ops/box_ops.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 3

id: 3566
unit: def aggregated_comparitive_iou()
file: official/vision/beta/projects/yolo/ops/box_ops.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 8
number of parameters: 4

id: 3567
unit: def _new_coord_scale_boxes()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 6

id: 3568
unit: def _reorg_boxes()
file: official/vision/beta/projects/yolo/tasks/yolo.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 4

id: 3569
unit: def get_config()
file: official/vision/beta/projects/simclr/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3570
unit: def build()
file: official/vision/beta/projects/simclr/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 2

id: 3571
unit: def create_optimizer()
file: official/vision/beta/projects/simclr/tasks/simclr.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 3

id: 3572
unit: def create_optimizer()
file: official/vision/beta/projects/simclr/tasks/simclr.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 3

id: 3573
unit: def build_losses()
file: official/vision/beta/projects/simclr/tasks/simclr.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 4

id: 3574
unit: def build_metrics()
file: official/vision/beta/projects/simclr/tasks/simclr.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 3575
unit: def _build_model()
file: official/vision/beta/serving/detection.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 1

id: 3576
unit: def serve()
file: official/vision/beta/serving/image_classification.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 3577
unit: def decode_image_tf_example()
file: official/vision/beta/serving/export_utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 4

id: 3578
unit: def call()
file: official/vision/beta/losses/retinanet_losses.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 3

id: 3579
unit: def filter_greater_than()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 3

id: 3580
unit: def refine_boxes()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 4

id: 3581
unit: def intersection()
file: official/vision/utils/object_detection/region_similarity_calculator.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 3

id: 3582
unit: def box_list_scale()
file: official/vision/utils/object_detection/preprocessor.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 4

id: 3583
unit: def parse_data_service()
file: official/core/train_utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 2

id: 3584
unit: def train_loop_end()
file: official/core/base_trainer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 1

id: 3585
unit: def train_step()
file: official/core/base_trainer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 2

id: 3586
unit: def __init__()
file: official/utils/misc/keras_utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 5

id: 3587
unit: def __str__()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 1

id: 3588
unit: def get_config()
file: official/projects/movinet/modeling/movinet_layers.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3589
unit: def train_step()
file: official/projects/teams/teams_task.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 5

id: 3590
unit: def sample_random_sequence()
file: official/projects/yt8m/modeling/yt8m_model_utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 3

id: 3591
unit: def resize_axis()
file: official/projects/yt8m/dataloaders/yt8m_input.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 4

id: 3592
unit: def get()
file: official/projects/yt8m/eval_utils/eval_util.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 1

id: 3593
unit: def build_sub_encoder()
file: official/projects/mobilebert/distillation.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 3594
unit: def _get_new_shape()
file: official/projects/mobilebert/tf2_model_checkpoint_converter.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 7
number of parameters: 3

id: 3595
unit: def create_mobilebert_model()
file: official/projects/mobilebert/export_tfhub.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 1

id: 3596
unit: def __init__()
file: official/projects/bigbird/recomputing_dropout.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 6

id: 3597
unit: def call()
file: official/projects/triviaqa/modeling.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 3

id: 3598
unit: def make_relative_att_ids()
file: official/projects/triviaqa/inputs.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 7
number of parameters: 6

id: 3599
unit: def __init__()
file: official/projects/assemblenet/modeling/assemblenet_plus.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 7

id: 3600
unit: def get_config()
file: official/projects/detr/modeling/transformer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3601
unit: def get_config()
file: official/projects/detr/modeling/transformer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3602
unit: def __init__()
file: official/projects/detr/modeling/detr.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 8

id: 3603
unit: def build()
file: official/projects/detr/modeling/detr.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 2

id: 3604
unit: def build()
file: official/projects/nhnet/decoder.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 3605
unit: def call()
file: official/projects/volumetric_models/modeling/nn_blocks_3d.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 3

id: 3606
unit: def __init__()
file: official/projects/volumetric_models/dataloaders/segmentation_input_3d.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 8

id: 3607
unit: def _prepare_image_and_label()
file: official/projects/volumetric_models/dataloaders/segmentation_input_3d.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 3

id: 3608
unit: def build_model()
file: official/projects/text_classification_example/classification_example.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 1

id: 3609
unit: def validation_step()
file: official/projects/text_classification_example/classification_example.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 4

id: 3610
unit: def aggregate_logs()
file: official/projects/text_classification_example/classification_example.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 3

id: 3611
unit: def reduce_aggregated_logs()
file: official/projects/text_classification_example/classification_example.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 3

id: 3612
unit: def mobilenet_edgetpu_v2_xs()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 0

id: 3613
unit: def mobilenet_edgetpu_v2_l()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 0

id: 3614
unit: def round_filters()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 2

id: 3615
unit: def round_filters()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v1_model_blocks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 2

id: 3616
unit: def random_crop_image()
file: official/projects/edgetpu/vision/dataloaders/classification_input.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 3

id: 3617
unit: def _prepare_image_and_label()
file: official/projects/edgetpu/vision/tasks/semantic_segmentation.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 3618
unit: def representative_dataset_gen()
file: official/projects/edgetpu/vision/serving/export_util.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 1

id: 3619
unit: def _build_sub_encoder()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 3620
unit: def get_config()
file: official/legacy/detection/modeling/architecture/nn_blocks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3621
unit: def get_config()
file: official/legacy/detection/modeling/architecture/nn_blocks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3622
unit: def backbone_generator()
file: official/legacy/detection/modeling/architecture/factory.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 1

id: 3623
unit: def __call__()
file: official/legacy/detection/modeling/losses.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 3

id: 3624
unit: def _create_test_step()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 4

id: 3625
unit: def generate_detections_factory()
file: official/legacy/detection/ops/postprocess_ops.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 1

id: 3626
unit: def generate_annotation_file()
file: official/legacy/detection/evaluation/coco_utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 2

id: 3627
unit: def clip_boxes()
file: official/legacy/detection/utils/box_utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 2

id: 3628
unit: def top_k_boxes()
file: official/legacy/detection/utils/box_utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 3

id: 3629
unit: def encode()
file: official/legacy/transformer/transformer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 4

id: 3630
unit: def build()
file: official/legacy/transformer/transformer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 2

id: 3631
unit: def __init__()
file: official/legacy/transformer/utils/tokenizer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 4

id: 3632
unit: def _split_string_to_tokens()
file: official/legacy/transformer/utils/tokenizer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 7
number of parameters: 2

id: 3633
unit: def _split_token_to_subtokens()
file: official/legacy/transformer/utils/tokenizer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 3

id: 3634
unit: def download_from_url()
file: official/legacy/transformer/data_download.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 3635
unit: def export_bert_squad_tfhub()
file: official/legacy/bert/export_tfhub.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 5

id: 3636
unit: def export()
file: official/legacy/bert/serving.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 3

id: 3637
unit: def __init__()
file: official/legacy/image_classification/efficientnet/efficientnet_model.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 4

id: 3638
unit: def preprocess_image()
file: official/legacy/image_classification/resnet/imagenet_preprocessing.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 6

id: 3639
unit: def resume_from_checkpoint()
file: official/legacy/image_classification/classifier_trainer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 3

id: 3640
unit: def __init__()
file: official/legacy/image_classification/augment.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 5

id: 3641
unit: def _build_from_signature()
file: official/nlp/modeling/layers/kernel_attention.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 4

id: 3642
unit: def build()
file: official/nlp/modeling/layers/masked_lm.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 2

id: 3643
unit: def get_config()
file: official/nlp/modeling/layers/position_embedding.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3644
unit: def build()
file: official/nlp/modeling/layers/gaussian_process.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 2

id: 3645
unit: def __init__()
file: official/nlp/modeling/layers/mobile_bert_layers.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 6

id: 3646
unit: def __init__()
file: official/nlp/modeling/networks/packed_sequence_embedding.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 5

id: 3647
unit: def get_embedding_table()
file: official/nlp/modeling/networks/encoder_scaffold.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 1

id: 3648
unit: def get_config()
file: official/nlp/modeling/models/seq2seq_transformer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3649
unit: def get_config()
file: official/nlp/modeling/models/seq2seq_transformer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3650
unit: def __init__()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 8

id: 3651
unit: def __init__()
file: official/nlp/data/squad_lib.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 8

id: 3652
unit: def __init__()
file: official/nlp/data/squad_lib_sp.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 8

id: 3653
unit: def _wordpieces_to_grams()
file: official/nlp/data/create_pretraining_data.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 7
number of parameters: 1

id: 3654
unit: def call()
file: official/nlp/xlnet/xlnet_modeling.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 5

id: 3655
unit: def _get_new_shape()
file: official/nlp/tools/tf1_bert_checkpoint_converter_lib.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 7
number of parameters: 3

id: 3656
unit: def _make_eval_dict()
file: official/nlp/tools/squad_evaluate_v2_0.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 3

id: 3657
unit: def _run_precision_recall_analysis()
file: official/nlp/tools/squad_evaluate_v2_0.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 5

id: 3658
unit: def get_do_lower_case()
file: official/nlp/tools/export_tfhub_lib.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 3

id: 3659
unit: def train_step()
file: official/nlp/tasks/electra_task.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 5

id: 3660
unit: def get_encoder_from_hub()
file: official/nlp/tasks/utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3661
unit: def validation_step()
file: official/nlp/tasks/dual_encoder.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 4

id: 3662
unit: def build_inputs()
file: official/nlp/tasks/question_answering.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 3

id: 3663
unit: def aggregate_logs()
file: official/nlp/tasks/question_answering.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 3

id: 3664
unit: def __init__()
file: official/nlp/serving/serving_modules.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 4

id: 3665
unit: def _serve_tokenized_input()
file: official/nlp/serving/serving_modules.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 4

id: 3666
unit: def _get_exp_config()
file: official/nlp/finetuning/superglue/run_superglue.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 3667
unit: def _get_exp_config()
file: official/nlp/finetuning/glue/run_glue.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 2

id: 3668
unit: def train_and_evaluate()
file: orbit/controller.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 4

id: 3669
unit: Eigen::Matrix4f ComposeTransformationMatrix()
file: research/vid2depth/ops/icp_op_kernel.cc
start line: 276
end line: 292
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3670
unit: def _normalize_depth_for_display()
file: research/vid2depth/inference.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 5

id: 3671
unit: def get_vars_to_restore()
file: research/vid2depth/util.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 10
number of parameters: 1

id: 3672
unit: def __init__()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 6

id: 3673
unit: def load_example()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 3

id: 3674
unit: def get_clip_fns()
file: research/efficient-hrl/context/context.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 1

id: 3675
unit: def step()
file: research/efficient-hrl/environments/ant.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 2

id: 3676
unit: def merge_specs()
file: research/efficient-hrl/utils/utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 1

id: 3677
unit: def compute_reward()
file: research/efficient-hrl/utils/eval_utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 4

id: 3678
unit: def mix_contexts()
file: research/efficient-hrl/agent.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 4

id: 3679
unit: def eval_child_model()
file: research/autoaugment/train_cifar.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 4

id: 3680
unit: def create_model()
file: research/seq_flow_lite/trainer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 4

id: 3681
unit: def train_and_evaluate()
file: research/seq_flow_lite/models/sgnn/train.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 0

id: 3682
unit: def _get_results()
file: research/cvt_text/task_specific/word_level/depparse_scorer.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 1

id: 3683
unit: def _get_examples()
file: research/cvt_text/task_specific/word_level/word_level_data.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 2

id: 3684
unit: def build_seq_ae_sequence()
file: research/adversarial_text/data/data_utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 1

id: 3685
unit: def MeanMedianPosition()
file: research/delf/delf/python/datasets/google_landmarks_dataset/metrics.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 3

id: 3686
unit: def ComputePRAtRanks()
file: research/delf/delf/python/datasets/revisited_op/dataset.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 2

id: 3687
unit: def extract_multi_scale_descriptor()
file: research/delf/delf/python/training/model/global_model.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 4

id: 3688
unit: def logSumExp()
file: research/rebar/utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 3

id: 3689
unit: def get_nvil_gradient()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3690
unit: protos::ClientOptions MobileLSTDTfLiteClient::CreateDefaultOptions()
file: research/lstm_object_detection/tflite/mobile_lstd_tflite_client.cc
start line: 32
end line: 48
size: 15 LOC
McCabe index: 1
number of parameters: 0

id: 3691
unit: bool MobileSSDTfLiteClient::ComputeOutputLayerCount()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 315
end line: 330
size: 15 LOC
McCabe index: 3
number of parameters: 0

id: 3692
unit: void MobileSSDTfLiteClient::LoadLabelMap()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 562
end line: 576
size: 15 LOC
McCabe index: 4
number of parameters: 0

id: 3693
unit: float ComputeIOU()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
start line: 152
end line: 166
size: 15 LOC
McCabe index: 3
number of parameters: 3

id: 3694
unit: void NormalizeDetectionBoxes()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
start line: 346
end line: 360
size: 15 LOC
McCabe index: 3
number of parameters: 3

id: 3695
unit: void DenormalizeDetectionBoxes()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
start line: 362
end line: 376
size: 15 LOC
McCabe index: 3
number of parameters: 3

id: 3696
unit: bool LoadLabelMapFromFileOrBytes()
file: research/lstm_object_detection/tflite/utils/file_utils.cc
start line: 38
end line: 52
size: 15 LOC
McCabe index: 3
number of parameters: 3

id: 3697
unit: def main()
file: research/lstm_object_detection/export_tflite_lstd_graph.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3698
unit: def preprocess_for_eval()
file: research/cognitive_planning/preprocessing/inception_preprocessing.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 5

id: 3699
unit: def __init__()
file: research/cognitive_planning/policies.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 7

id: 3700
unit: def classification_loss()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 4

id: 3701
unit: def _obs_to_state()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 3

id: 3702
unit: def _perturb_state()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 3

id: 3703
unit: def __init__()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 4

id: 3704
unit: def optimize()
file: research/pcl_rl/optimizers.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 3

id: 3705
unit: def get_from_replay_buffer()
file: research/pcl_rl/controller.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 10
number of parameters: 2

id: 3706
unit: def step()
file: research/pcl_rl/gym_wrapper.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 2

id: 3707
unit: def linesearch()
file: research/pcl_rl/trust_region.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 4

id: 3708
unit: def generate_rnn()
file: research/lfads/synth_data/synthetic_data_utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 6

id: 3709
unit: def eval_cost_epoch()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 5

id: 3710
unit: def read_charset()
file: research/attention_ocr/python/datasets/fsns.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 2

id: 3711
unit: def create_model()
file: research/attention_ocr/python/demo_inference.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 2

id: 3712
unit: def char_accuracy()
file: research/attention_ocr/python/metrics.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 4

id: 3713
unit: def _get_mask_predictor_conv_depth()
file: research/object_detection/predictors/heads/keras_mask_head.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 5

id: 3714
unit: def _predict()
file: research/object_detection/predictors/heads/keras_box_head.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 2

id: 3715
unit: def _get_mask_predictor_conv_depth()
file: research/object_detection/predictors/heads/mask_head.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 5

id: 3716
unit: def __init__()
file: research/object_detection/predictors/heads/keypoint_head.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 7

id: 3717
unit: def _encode()
file: research/object_detection/box_coders/square_box_coder.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 3

id: 3718
unit: def _tf_resize_method()
file: research/object_detection/builders/image_resizer_builder.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 1

id: 3719
unit: def refine_boxes()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 4

id: 3720
unit: def prefetch()
file: research/object_detection/core/prefetcher.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 2

id: 3721
unit: def __init__()
file: research/object_detection/core/target_assigner.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 5

id: 3722
unit: def _get_values_from_start_and_end()
file: research/object_detection/core/balanced_positive_negative_sampler.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 5

id: 3723
unit: def _match()
file: research/object_detection/matchers/bipartite_matcher.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 3

id: 3724
unit: def main()
file: research/object_detection/export_tflite_graph_tf2.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3725
unit: def multilevel_native_crop_and_resize()
file: research/object_detection/utils/spatial_transform_ops.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 5

id: 3726
unit: def nearest_neighbor_upsampling()
file: research/object_detection/utils/ops.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 5

id: 3727
unit: def bfloat16_to_float32_nested()
file: research/object_detection/utils/ops.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 7
number of parameters: 1

id: 3728
unit: def _update_ground_truth_statistics()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 4

id: 3729
unit: def get_surrounding_grids()
file: research/object_detection/utils/target_assigner_utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 5

id: 3730
unit: def _remove_invalid_boxes()
file: research/object_detection/utils/per_image_evaluation.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 5

id: 3731
unit: def load_fine_tune_checkpoint()
file: research/object_detection/model_lib_v2.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 7

id: 3732
unit: def _compute_object_detection_losses()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 6

id: 3733
unit: def _raw_detections_and_feature_map_inds()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 3

id: 3734
unit: def restore_from_objects()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 2

id: 3735
unit: def get_proposal_feature_extractor_model()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 2

id: 3736
unit: def test_regularization_losses()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3737
unit: def __init__()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 4

id: 3738
unit: def main()
file: research/object_detection/models/keras_models/convert_keras_models.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 1

id: 3739
unit: def __init__()
file: research/object_detection/models/keras_models/inception_resnet_v2.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 8

id: 3740
unit: def __init__()
file: research/object_detection/models/keras_models/hourglass_network.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 6

id: 3741
unit: def single_stage_hourglass()
file: research/object_detection/models/keras_models/hourglass_network.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 6

id: 3742
unit: def _conv()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 6

id: 3743
unit: def _tucker_conv()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 8

id: 3744
unit: def test_extract_features_returns_correct_shapes_with_depth_multiplier()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3745
unit: def __init__()
file: research/object_detection/models/faster_rcnn_inception_v2_feature_extractor.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 8

id: 3746
unit: def _get_filenames_and_classes()
file: research/slim/datasets/download_and_convert_flowers.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 1

id: 3747
unit: def upsample()
file: research/slim/nets/pix2pix.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 3
number of parameters: 4

id: 3748
unit: def get_checkpoint_init_fn()
file: research/slim/nets/mobilenet_v1_train.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 0

id: 3749
unit: def train_model()
file: research/slim/nets/mobilenet_v1_train.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 0

id: 3750
unit: def large_imagenet_config()
file: research/slim/nets/nasnet/pnasnet.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 0

id: 3751
unit: def mobile_imagenet_config()
file: research/slim/nets/nasnet/pnasnet.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 0

id: 3752
unit: def cifar_config()
file: research/slim/nets/nasnet/nasnet.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 2
number of parameters: 0

id: 3753
unit: def large_imagenet_config()
file: research/slim/nets/nasnet/nasnet.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 0

id: 3754
unit: def mobile_imagenet_config()
file: research/slim/nets/nasnet/nasnet.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 0

id: 3755
unit: def create_clones()
file: research/slim/deployment/model_deploy.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 4

id: 3756
unit: def _add_gradients_summaries()
file: research/slim/deployment/model_deploy.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 4
number of parameters: 1

id: 3757
unit: def flip_dim()
file: research/deeplab/core/preprocess_utils.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 5
number of parameters: 3

id: 3758
unit: def _split_panoptic()
file: research/deeplab/evaluation/eval_coco_format.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 6
number of parameters: 4

id: 3759
unit: def check_model()
file: research/audioset/vggish/vggish_export_tfhub.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3760
unit: def main()
file: research/audioset/vggish/vggish_export_tfhub.py
start line: 0
end line: 0
size: 15 LOC
McCabe index: 1
number of parameters: 1

id: 3761
unit: def _get_requirements()
file: official/pip_package/setup.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 0

id: 3762
unit: def get_shape_list()
file: official/modeling/tf_utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 3

id: 3763
unit: def __call__()
file: official/modeling/optimization/lr_schedule.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 2

id: 3764
unit: def __init__()
file: official/modeling/optimization/lr_schedule.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 7

id: 3765
unit: def __init__()
file: official/modeling/optimization/optimizer_factory.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3766
unit: def _filter_and_allreduce_gradients()
file: official/modeling/grad_utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 3

id: 3767
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3768
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3769
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3770
unit: def _select_top_k_scores()
file: official/vision/beta/modeling/layers/detection_generator.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 2

id: 3771
unit: def build_backbone()
file: official/vision/beta/modeling/backbones/factory.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 6

id: 3772
unit: def get_config()
file: official/vision/beta/modeling/backbones/efficientnet.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3773
unit: def call()
file: official/vision/beta/modeling/heads/dense_prediction_heads.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 3

id: 3774
unit: def __init__()
file: official/vision/beta/dataloaders/tf_example_label_map_decoder.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 5

id: 3775
unit: def process_label()
file: official/vision/beta/dataloaders/video_input.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 7
number of parameters: 3

id: 3776
unit: def _decode_masks()
file: official/vision/beta/dataloaders/tf_example_decoder.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 3777
unit: def normalize_image()
file: official/vision/beta/ops/preprocess_ops.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 4

id: 3778
unit: def __init__()
file: official/vision/beta/ops/anchor.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 7

id: 3779
unit: def denormalize_boxes()
file: official/vision/beta/ops/box_ops.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3780
unit: def clip_boxes()
file: official/vision/beta/ops/box_ops.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 2

id: 3781
unit: def to_4d()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3782
unit: def cutout()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 3

id: 3783
unit: def _check_bbox_area()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 5

id: 3784
unit: def iou()
file: official/vision/beta/ops/iou_similarity.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 2

id: 3785
unit: def resize_smallest()
file: official/vision/beta/ops/preprocess_ops_3d.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 3786
unit: def _build_model()
file: official/vision/beta/projects/deepmac_maskrcnn/serving/detection.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 1

id: 3787
unit: def get_config()
file: official/vision/beta/projects/centernet/modeling/layers/cn_nn_blocks.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3788
unit: def get_config()
file: official/vision/beta/projects/centernet/modeling/layers/detection_generator.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3789
unit: def get_valid_anchor_weights_in_flattened_image()
file: official/vision/beta/projects/centernet/ops/loss_ops.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 3

id: 3790
unit: def get_ckpt_weights_as_dict()
file: official/vision/beta/projects/centernet/utils/checkpoints/read_checkpoints.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 1

id: 3791
unit: def get_config()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3792
unit: def _scale_boxes()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 6

id: 3793
unit: def _process_label()
file: official/vision/beta/projects/video_ssl/dataloaders/video_ssl_input.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 7
number of parameters: 3

id: 3794
unit: def build_model()
file: official/vision/beta/projects/video_ssl/tasks/pretrain.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 1

id: 3795
unit: def call()
file: official/vision/beta/projects/simclr/heads/simclr_head.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 3

id: 3796
unit: def __init__()
file: official/vision/beta/projects/simclr/heads/simclr_head.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 7

id: 3797
unit: def build_metrics()
file: official/vision/beta/tasks/retinanet.py
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end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 2

id: 3798
unit: def build_model()
file: official/vision/beta/tasks/video_classification.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 1

id: 3799
unit: def inference_from_image_bytes()
file: official/vision/beta/serving/export_base.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 3800
unit: def _decode_tf_example()
file: official/vision/beta/serving/video_classification.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 2

id: 3801
unit: def _build_inputs()
file: official/vision/beta/serving/detection.py
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size: 14 LOC
McCabe index: 2
number of parameters: 2

id: 3802
unit: def __init__()
file: official/vision/beta/serving/export_base_v2.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 12

id: 3803
unit: def __call__()
file: official/vision/beta/losses/maskrcnn_losses.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 3

id: 3804
unit: def __call__()
file: official/vision/beta/losses/maskrcnn_losses.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 4

id: 3805
unit: def call()
file: official/vision/beta/losses/focal_loss.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 3

id: 3806
unit: def prune_outside_window()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 3

id: 3807
unit: def prune_completely_outside_window()
file: official/vision/utils/object_detection/box_list_ops.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 3

id: 3808
unit: def non_max_suppression()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 4

id: 3809
unit: def keypoint_flip_horizontal()
file: official/vision/utils/object_detection/preprocessor.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 4

id: 3810
unit: def draw_bounding_box_on_image_array()
file: official/vision/utils/object_detection/visualization_utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 8

id: 3811
unit: def __init__()
file: official/vision/utils/object_detection/target_assigner.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 6

id: 3812
unit: def __init__()
file: official/vision/utils/object_detection/target_assigner.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 7

id: 3813
unit: def get_timestamped_export_dir()
file: official/core/export_base.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 1

id: 3814
unit: def _mirrored_cross_device_ops()
file: official/common/distribute_utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3815
unit: def _construct_eval_epoch()
file: official/recommendation/data_pipeline.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 1

id: 3816
unit: def __init__()
file: official/recommendation/ranking/common.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 7

id: 3817
unit: def call()
file: official/projects/movinet/modeling/movinet_layers.py
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end line: 0
size: 14 LOC
McCabe index: 11
number of parameters: 2

id: 3818
unit: def get_config()
file: official/projects/movinet/modeling/movinet_layers.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3819
unit: def teams_squad()
file: official/projects/teams/teams_experiments.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 0

id: 3820
unit: def build_metrics()
file: official/projects/teams/teams_task.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 3821
unit: def CombineGradients()
file: official/projects/yt8m/dataloaders/utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 7
number of parameters: 1

id: 3822
unit: def calculate_precision_at_equal_recall_rate()
file: official/projects/yt8m/eval_utils/eval_util.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 2

id: 3823
unit: def __init__()
file: official/projects/basnet/modeling/basnet_model.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 5

id: 3824
unit: def validation_step()
file: official/projects/basnet/tasks/basnet.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 4

id: 3825
unit: def roformer_recompute_qkv()
file: official/projects/roformer/roformer_attention.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 4

id: 3826
unit: def __init__()
file: official/projects/triviaqa/modeling.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 3

id: 3827
unit: def __init__()
file: official/projects/triviaqa/dataset.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 5

id: 3828
unit: def __init__()
file: official/projects/triviaqa/dataset.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 7

id: 3829
unit: def normalize_answer()
file: official/projects/triviaqa/evaluation.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 1

id: 3830
unit: def read_crawled_articles()
file: official/projects/nhnet/raw_data_processor.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 2

id: 3831
unit: def _add_feature_with_suffix()
file: official/projects/nhnet/raw_data_processor.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 4

id: 3832
unit: def _decode()
file: official/projects/text_classification_example/classification_data_loader.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3833
unit: def _cross_replica_average()
file: official/projects/edgetpu/vision/modeling/common_modules.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 3

id: 3834
unit: def __call__()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 3

id: 3835
unit: def build()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 2

id: 3836
unit: def __init__()
file: official/projects/edgetpu/nlp/modeling/edgetpu_layers.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 3837
unit: def _decode_masks()
file: official/legacy/detection/dataloader/tf_example_decoder.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 3838
unit: def __call__()
file: official/legacy/detection/modeling/learning_rates.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 2

id: 3839
unit: def __call__()
file: official/legacy/detection/modeling/learning_rates.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 3840
unit: def _shared_rpn_heads()
file: official/legacy/detection/modeling/architecture/heads.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 5

id: 3841
unit: def __call__()
file: official/legacy/detection/modeling/architecture/heads.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 5

id: 3842
unit: def decoder_net()
file: official/legacy/detection/modeling/architecture/heads.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 3

id: 3843
unit: def call()
file: official/legacy/detection/modeling/architecture/nn_blocks.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 2

id: 3844
unit: def rpn_head_generator()
file: official/legacy/detection/modeling/architecture/factory.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3845
unit: def oln_rpn_head_generator()
file: official/legacy/detection/modeling/architecture/factory.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3846
unit: def __call__()
file: official/legacy/detection/modeling/losses.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 3

id: 3847
unit: def __call__()
file: official/legacy/detection/modeling/losses.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 4

id: 3848
unit: def call()
file: official/legacy/detection/ops/target_ops.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 4

id: 3849
unit: def update_state()
file: official/legacy/detection/evaluation/coco_evaluator.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 3

id: 3850
unit: def denormalize_boxes()
file: official/legacy/detection/utils/box_utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3851
unit: def get_position_encoding()
file: official/legacy/transformer/model_utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 4

id: 3852
unit: def _get_sorted_inputs()
file: official/legacy/transformer/translate.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 1

id: 3853
unit: def train_input_fn()
file: official/legacy/transformer/data_pipeline.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3854
unit: def eval_input_fn()
file: official/legacy/transformer/data_pipeline.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3855
unit: def _count_and_gen_subtokens()
file: official/legacy/transformer/utils/tokenizer.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 4

id: 3856
unit: def get_squad_model_to_predict()
file: official/legacy/bert/run_squad_helper.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 4

id: 3857
unit: def main()
file: official/legacy/bert/run_pretraining.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 1

id: 3858
unit: def create_bert_model()
file: official/legacy/bert/export_tfhub.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 1

id: 3859
unit: def export_classifier()
file: official/legacy/bert/run_classifier.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 4

id: 3860
unit: def _cross_replica_average()
file: official/legacy/image_classification/efficientnet/common_modules.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 3

id: 3861
unit: def round_filters()
file: official/legacy/image_classification/efficientnet/efficientnet_model.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 2

id: 3862
unit: def define_mnist_flags()
file: official/legacy/image_classification/mnist_main.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 0

id: 3863
unit: def build_stats()
file: official/legacy/image_classification/resnet/resnet_ctl_imagenet_main.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 2

id: 3864
unit: def parse_record()
file: official/legacy/image_classification/resnet/imagenet_preprocessing.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 3

id: 3865
unit: def to_4d()
file: official/legacy/image_classification/augment.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3866
unit: def __init__()
file: official/nlp/modeling/layers/gaussian_process.py
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size: 14 LOC
McCabe index: 2
number of parameters: 6

id: 3867
unit: def call()
file: official/nlp/modeling/layers/spectral_normalization.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 4

id: 3868
unit: def _truncate_row_lengths()
file: official/nlp/modeling/layers/text_layers.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 3869
unit: def __init__()
file: official/nlp/modeling/layers/text_layers.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 6

id: 3870
unit: def _create_special_tokens_dict()
file: official/nlp/modeling/layers/text_layers.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 1

id: 3871
unit: def from_config()
file: official/nlp/modeling/layers/reuse_attention.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 2

id: 3872
unit: def call()
file: official/nlp/modeling/networks/packed_sequence_embedding.py
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size: 14 LOC
McCabe index: 4
number of parameters: 4

id: 3873
unit: def __call__()
file: official/nlp/modeling/models/t5.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 3

id: 3874
unit: def _update_cache()
file: official/nlp/modeling/models/t5.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 5

id: 3875
unit: def encode()
file: official/nlp/modeling/models/t5.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 4

id: 3876
unit: def build()
file: official/nlp/modeling/models/xlnet.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 3877
unit: def _decode()
file: official/nlp/data/wmt_dataloader.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 2

id: 3878
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 3

id: 3879
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3880
unit: def get_dev_examples()
file: official/nlp/data/classifier_data_lib.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3881
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3882
unit: def get_test_examples()
file: official/nlp/data/classifier_data_lib.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 2

id: 3883
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3884
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3885
unit: def _create_examples_tfds()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3886
unit: def _parse()
file: official/nlp/data/question_answering_dataloader.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 7
number of parameters: 3

id: 3887
unit: def _bert_preprocess()
file: official/nlp/data/dual_encoder_dataloader.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 3

id: 3888
unit: def preprocess_text()
file: official/nlp/xlnet/preprocess_utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 8
number of parameters: 4

id: 3889
unit: def _idx_pair_to_mask()
file: official/nlp/xlnet/data_utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 5

id: 3890
unit: def _single_token_mask()
file: official/nlp/xlnet/data_utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 3

id: 3891
unit: def main()
file: official/nlp/tools/tf2_bert_encoder_checkpoint_converter.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 1

id: 3892
unit: def preprocess_text()
file: official/nlp/tools/tokenization.py
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end line: 0
size: 14 LOC
McCabe index: 8
number of parameters: 3

id: 3893
unit: def validation_step()
file: official/nlp/tasks/translation.py
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size: 14 LOC
McCabe index: 2
number of parameters: 4

id: 3894
unit: def process_metrics()
file: official/nlp/tasks/dual_encoder.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 4

id: 3895
unit: def __init__()
file: official/nlp/tasks/question_answering.py
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size: 14 LOC
McCabe index: 5
number of parameters: 4

id: 3896
unit: def build_model()
file: official/nlp/tasks/question_answering.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 1

id: 3897
unit: def build_metrics()
file: official/nlp/tasks/sentence_prediction.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3898
unit: def serve()
file: official/nlp/serving/serving_modules.py
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size: 14 LOC
McCabe index: 5
number of parameters: 4

id: 3899
unit: def __init__()
file: orbit/controller.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 0

id: 3900
unit: def restore_checkpoint()
file: orbit/controller.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3901
unit: def __init__()
file: orbit/standard_runner.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 3

id: 3902
unit: def setup()
file: research/vid2depth/ops/icp_train_demo.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3903
unit: pcl::CorrespondencesPtr getCorrespondencesPtr()
file: research/vid2depth/ops/pcl_demo.cc
start line: 36
end line: 49
size: 14 LOC
McCabe index: 2
number of parameters: 0

id: 3904
unit: def _meshgrid_abs()
file: research/vid2depth/project.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 3905
unit: def load_image_sequence()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3906
unit: def __call__()
file: research/efficient-hrl/context/samplers.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 3

id: 3907
unit: def create_vars()
file: research/efficient-hrl/context/context.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 3

id: 3908
unit: def ctrl_rewards()
file: research/efficient-hrl/context/rewards_functions.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 6

id: 3909
unit: def _is_in_collision()
file: research/efficient-hrl/environments/maze_env.py
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end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 2

id: 3910
unit: def get_model_rollout()
file: research/efficient-hrl/eval.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 3911
unit: def _shake_shake_branch()
file: research/autoaugment/shake_shake.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 6

id: 3912
unit: def call()
file: research/seq_flow_lite/layers/projection_layers.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 2

id: 3913
unit: std::string JoinPairsBySpace()
file: research/seq_flow_lite/tf_ops/projection_util.cc
start line: 408
end line: 421
size: 14 LOC
McCabe index: 3
number of parameters: 1

id: 3914
unit: def dataset_fn()
file: research/seq_flow_lite/models/sgnn/train.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 5

id: 3915
unit: def fused_project()
file: research/seq_flow_lite/models/sgnn/sgnn.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 3

id: 3916
unit: def keras_model()
file: research/seq_flow_lite/models/sgnn/sgnn.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 4

id: 3917
unit: def __init__()
file: research/seq_flow_lite/models/prado.py
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end line: 0
size: 14 LOC
McCabe index: 7
number of parameters: 5

id: 3918
unit: def call()
file: research/seq_flow_lite/models/prado.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 5

id: 3919
unit: def __init__()
file: research/cvt_text/corpus_processing/example.py
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end line: 0
size: 14 LOC
McCabe index: 8
number of parameters: 4

id: 3920
unit: def normalize_chars()
file: research/cvt_text/base/embeddings.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 7
number of parameters: 1

id: 3921
unit: def language_model_graph()
file: research/adversarial_text/graphs.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 2

id: 3922
unit: def _get_vocab_freqs()
file: research/adversarial_text/graphs.py
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end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 0

id: 3923
unit: def main()
file: research/adversarial_text/evaluate.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 1

id: 3924
unit: def ArraysToBoxes()
file: research/delf/delf/python/box_io.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 3

id: 3925
unit: def ComputeAveragePrecision()
file: research/delf/delf/python/datasets/revisited_op/dataset.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 1

id: 3926
unit: def ExtractFeatures()
file: research/delf/delf/python/training/model/export_CNN_global.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 4

id: 3927
unit: def main()
file: research/delf/delf/python/training/model/export_local_and_global_model.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 1

id: 3928
unit: def __init__()
file: research/delf/delf/python/training/model/delf_model.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 5

id: 3929
unit: def contrastive_loss()
file: research/delf/delf/python/training/losses/ranking_losses.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 5

id: 3930
unit: def triplet_loss()
file: research/delf/delf/python/training/losses/ranking_losses.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 4

id: 3931
unit: def _u_to_v()
file: research/rebar/rebar.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 4

id: 3932
unit: def _random_sample_soft()
file: research/rebar/rebar.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 5

id: 3933
unit: def tensors_to_item()
file: research/lstm_object_detection/inputs/tf_sequence_example_decoder.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3934
unit: def __init__()
file: research/lstm_object_detection/inputs/tf_sequence_example_decoder.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 4

id: 3935
unit: bool MobileSSDClient::Detect()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 35
end line: 50
size: 14 LOC
McCabe index: 5
number of parameters: 6

id: 3936
unit: void MobileSSDClient::InitParams()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 160
end line: 173
size: 14 LOC
McCabe index: 2
number of parameters: 3

id: 3937
unit: def draw_bounding_box_on_image_array()
file: research/cognitive_planning/visualization_utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 8

id: 3938
unit: def create_modality_types()
file: research/cognitive_planning/train_supervised_active_vision.py
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end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 0

id: 3939
unit: def fit_values()
file: research/pcl_rl/model.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 8

id: 3940
unit: def reset_if()
file: research/pcl_rl/gym_wrapper.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 7
number of parameters: 2

id: 3941
unit: def log_prob_action()
file: research/pcl_rl/policy.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 6

id: 3942
unit: def get_initializer()
file: research/pcl_rl/policy.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 4

id: 3943
unit: def linear()
file: research/lfads/utils.py
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end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 8

id: 3944
unit: def _plot_item()
file: research/lfads/plot_lfads.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 4

id: 3945
unit: def plot_time_series()
file: research/lfads/plot_lfads.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 6

id: 3946
unit: def create_optimizer()
file: research/attention_ocr/python/train.py
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end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 1

id: 3947
unit: def create_serialized_example()
file: research/attention_ocr/python/datasets/unittest_utils.py
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end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 1

id: 3948
unit: def max_pool_views()
file: research/attention_ocr/python/model.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3949
unit: def char_predictions()
file: research/attention_ocr/python/model.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 3950
unit: def __init__()
file: research/object_detection/predictors/mask_rcnn_keras_box_predictor.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 8

id: 3951
unit: def __init__()
file: research/object_detection/predictors/rfcn_box_predictor.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 8

id: 3952
unit: def _predict()
file: research/object_detection/predictors/heads/keras_box_head.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 2

id: 3953
unit: def __init__()
file: research/object_detection/predictors/heads/box_head.py
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size: 14 LOC
McCabe index: 3
number of parameters: 6

id: 3954
unit: def __init__()
file: research/object_detection/predictors/heads/box_head.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 6

id: 3955
unit: def __init__()
file: research/object_detection/predictors/heads/class_head.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 7

id: 3956
unit: def replace_variable_values_with_moving_averages()
file: research/object_detection/exporter.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 4

id: 3957
unit: def __init__()
file: research/object_detection/box_coders/keypoint_box_coder.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 3

id: 3958
unit: def __init__()
file: research/object_detection/metrics/coco_evaluation.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 5

id: 3959
unit: def __init__()
file: research/object_detection/metrics/coco_evaluation.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 5

id: 3960
unit: def build()
file: research/object_detection/builders/post_processing_builder.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 1

id: 3961
unit: def batch_decode()
file: research/object_detection/core/box_coder.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 3

id: 3962
unit: def remap_labels()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 3

id: 3963
unit: def _match()
file: research/object_detection/matchers/hungarian_matcher.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 3

id: 3964
unit: def filter_scores_greater_than()
file: research/object_detection/utils/np_box_mask_list_ops.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 2

id: 3965
unit: def _coordinate_vector_1d()
file: research/object_detection/utils/spatial_transform_ops.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 4

id: 3966
unit: def intersection()
file: research/object_detection/utils/np_box_ops.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 2

id: 3967
unit: def filter_scores_greater_than()
file: research/object_detection/utils/np_box_list_ops.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 2

id: 3968
unit: def merge_internal_state()
file: research/object_detection/utils/object_detection_evaluation.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 2

id: 3969
unit: def draw_bounding_box_on_image_array()
file: research/object_detection/utils/visualization_utils.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 8

id: 3970
unit: def get_keypoint_label_map_dict()
file: research/object_detection/utils/label_map_util.py
start line: 0
end line: 0
size: 14 LOC
McCabe index: 6
number of parameters: 1

id: 3971
unit: def get_valid_anchor_weights_in_flattened_image()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 3

id: 3972
unit: def __new__()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 6

id: 3973
unit: def __new__()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 8

id: 3974
unit: def _compute_densepose_losses()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 4

id: 3975
unit: def _predict_second_stage()
file: research/object_detection/meta_architectures/context_rcnn_meta_arch.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 8

id: 3976
unit: def updates()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 1

id: 3977
unit: def _batch_decode_boxes()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 3

id: 3978
unit: def __init__()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 3

id: 3979
unit: def resize_detection_masks()
file: research/object_detection/eval_util.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 3

id: 3980
unit: def Conv2D()
file: research/object_detection/models/keras_models/inception_resnet_v2.py
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end line: 0
size: 14 LOC
McCabe index: 13
number of parameters: 4

id: 3981
unit: def test_extract_features_returns_correct_shapes_with_pad_to_multiple()
file: research/object_detection/models/ssd_mobilenet_v3_feature_extractor_testbase.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3982
unit: def test_preprocess_returns_correct_value_range()
file: research/object_detection/models/ssd_resnet_v1_ppn_feature_extractor_testbase.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3983
unit: def _extract_proposal_features()
file: research/object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 3

id: 3984
unit: def test_extract_features_returns_correct_shapes_with_pad_to_multiple()
file: research/object_detection/models/ssd_mobilenet_edgetpu_feature_extractor_testbase.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 1

id: 3985
unit: def _process_image()
file: research/slim/datasets/build_imagenet_data.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 2

id: 3986
unit: def preprocess_image()
file: research/slim/preprocessing/lenet_preprocessing.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 5

id: 3987
unit: def preprocess_image()
file: research/slim/preprocessing/vgg_preprocessing.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 7

id: 3988
unit: def _split_divisible()
file: research/slim/nets/mobilenet/conv_blocks.py
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end line: 0
size: 14 LOC
McCabe index: 3
number of parameters: 3

id: 3989
unit: def conv2d_same()
file: research/slim/nets/resnet_utils.py
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end line: 0
size: 14 LOC
McCabe index: 2
number of parameters: 6

id: 3990
unit: def restore_model()
file: research/slim/nets/post_training_quantization.py
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end line: 0
size: 14 LOC
McCabe index: 5
number of parameters: 3

id: 3991
unit: def get_one_shot_iterator()
file: research/deeplab/datasets/data_generator.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 1

id: 3992
unit: def image_seg_to_tfexample()
file: research/deeplab/datasets/build_data.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 5

id: 3993
unit: def _get_files()
file: research/deeplab/datasets/build_cityscapes_data.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 2

id: 3994
unit: def print_detailed_results()
file: research/deeplab/evaluation/panoptic_quality.py
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end line: 0
size: 14 LOC
McCabe index: 4
number of parameters: 3

id: 3995
unit: def convert_to_tflite()
file: research/deeplab/convert_to_tflite.py
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end line: 0
size: 14 LOC
McCabe index: 1
number of parameters: 3

id: 3996
unit: def assert_rank()
file: official/modeling/tf_utils.py
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end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 3997
unit: def get_config()
file: official/modeling/optimization/lr_schedule.py
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end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 1

id: 3998
unit: def get_config()
file: official/modeling/optimization/lr_schedule.py
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end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 1

id: 3999
unit: def train_loop_end()
file: official/modeling/multitask/base_trainer.py
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end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 1

id: 4000
unit: def _update_pt_stage_from_ckpt()
file: official/modeling/fast_training/progressive/trainer.py
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end line: 0
size: 13 LOC
McCabe index: 7
number of parameters: 2

id: 4001
unit: def expand_2_axes()
file: official/modeling/fast_training/experimental/tf2_utils_2x_wide.py
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end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 2

id: 4002
unit: def _maybe_downsample()
file: official/vision/beta/modeling/layers/nn_blocks.py
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end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 4

id: 4003
unit: def __init__()
file: official/vision/beta/modeling/layers/nn_blocks.py
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size: 13 LOC
McCabe index: 2
number of parameters: 5

id: 4004
unit: def call()
file: official/vision/beta/modeling/layers/nn_layers.py
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McCabe index: 5
number of parameters: 3

id: 4005
unit: def __init__()
file: official/vision/beta/modeling/layers/nn_layers.py
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size: 13 LOC
McCabe index: 2
number of parameters: 5

id: 4006
unit: def call()
file: official/vision/beta/modeling/layers/mask_sampler.py
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size: 13 LOC
McCabe index: 1
number of parameters: 6

id: 4007
unit: def call()
file: official/vision/beta/modeling/segmentation_model.py
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end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 3

id: 4008
unit: def decode()
file: official/vision/beta/dataloaders/tfds_detection_decoders.py
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end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 2

id: 4009
unit: def nearest_upsampling()
file: official/vision/beta/ops/spatial_transform_ops.py
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end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 3

id: 4010
unit: def __init__()
file: official/vision/beta/ops/box_matcher.py
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end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 4

id: 4011
unit: def unpack_targets()
file: official/vision/beta/ops/anchor.py
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end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 2

id: 4012
unit: def blend()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 13 LOC
McCabe index: 7
number of parameters: 3

id: 4013
unit: def shear_with_bboxes()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 5

id: 4014
unit: def translate_bbox()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 5

id: 4015
unit: def build()
file: official/vision/beta/projects/centernet/modeling/layers/cn_nn_blocks.py
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end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 2

id: 4016
unit: def scale()
file: official/vision/beta/projects/centernet/ops/box_list_ops.py
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end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4017
unit: def __call__()
file: official/vision/beta/projects/centernet/losses/centernet_losses.py
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size: 13 LOC
McCabe index: 1
number of parameters: 4

id: 4018
unit: def validation_step()
file: official/vision/beta/projects/example/example_task.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 5

id: 4019
unit: def _parse_data()
file: official/vision/beta/projects/example/example_input.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 3

id: 4020
unit: def _conv1()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 4

id: 4021
unit: def _conv2()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 4

id: 4022
unit: def build_yolo_head()
file: official/vision/beta/projects/yolo/modeling/factory.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4023
unit: def bias_init()
file: official/vision/beta/projects/yolo/modeling/heads/yolo_head.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 5

id: 4024
unit: def __init__()
file: official/vision/beta/projects/yolo/dataloaders/tf_example_decoder.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 5

id: 4025
unit: def scale_boxes()
file: official/vision/beta/projects/yolo/ops/mosaic.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 7

id: 4026
unit: def _build_grid_points()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 5

id: 4027
unit: def __call__()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 5

id: 4028
unit: def search_and_set_variable_groups()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 7
number of parameters: 2

id: 4029
unit: def _get_momentum()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 2

id: 4030
unit: def get_bias_lr_schedule()
file: official/vision/beta/projects/yolo/optimization/optimizer_factory.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 2

id: 4031
unit: def initialize()
file: official/vision/beta/projects/video_ssl/tasks/linear_eval.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 2

id: 4032
unit: def crop_and_resize()
file: official/vision/beta/projects/simclr/dataloaders/preprocess_ops.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4033
unit: def get_config()
file: official/vision/beta/projects/simclr/heads/simclr_head.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4034
unit: def get_export_module()
file: official/vision/beta/serving/export_module_factory.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 5

id: 4035
unit: def _preprocess_image()
file: official/vision/beta/serving/video_classification.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 2

id: 4036
unit: def multi_level_flatten()
file: official/vision/beta/losses/loss_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 2

id: 4037
unit: def scale()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 4

id: 4038
unit: def intersection()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4039
unit: def matched_intersection()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4040
unit: def batch_decode()
file: official/vision/utils/object_detection/box_coder.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 3

id: 4041
unit: def keypoint_prune_outside_window()
file: official/vision/utils/object_detection/preprocessor.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 3

id: 4042
unit: def create_eval_loop_fn()
file: official/core/base_trainer.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 4043
unit: def past_stop_threshold()
file: official/utils/misc/model_helpers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 2

id: 4044
unit: def generate_synthetic_data()
file: official/utils/misc/model_helpers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 6

id: 4045
unit: def put()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 4046
unit: def make_input_fn()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 6
number of parameters: 2

id: 4047
unit: def _assemble_eval_batch()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 4

id: 4048
unit: def train_loop_end()
file: official/recommendation/ranking/train.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 1

id: 4049
unit: def get_config()
file: official/projects/movinet/modeling/movinet_model.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4050
unit: def get_config()
file: official/projects/movinet/modeling/movinet_layers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4051
unit: def teams_pretrain()
file: official/projects/teams/teams_experiments.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 0

id: 4052
unit: def GetListOfFeatureNamesAndSizes()
file: official/projects/yt8m/dataloaders/utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 2

id: 4053
unit: def smart_cond()
file: official/projects/bigbird/recomputing_dropout.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 6
number of parameters: 4

id: 4054
unit: def configure()
file: official/projects/triviaqa/dataset.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 5

id: 4055
unit: def f1_score()
file: official/projects/triviaqa/evaluation.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 2

id: 4056
unit: def find_answer_spans()
file: official/projects/triviaqa/preprocess.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 4057
unit: def __init__()
file: official/projects/assemblenet/modeling/assemblenet.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 6

id: 4058
unit: def divergence()
file: official/projects/assemblenet/modeling/rep_flow_2d_layer.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 5

id: 4059
unit: def _update_weights_using_cover()
file: official/projects/detr/ops/matchers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4060
unit: def assert_rank()
file: official/projects/detr/ops/matchers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 4061
unit: def predict_decode()
file: official/projects/nhnet/models.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 3

id: 4062
unit: def create_bert2bert_model()
file: official/projects/nhnet/models.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 3

id: 4063
unit: def get_config()
file: official/projects/volumetric_models/modeling/backbones/unet_3d.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4064
unit: def mobilenet_edgetpu_v2_s()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 0

id: 4065
unit: def mobilenet_edgetpu_v2_m()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 0

id: 4066
unit: def from_name()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 6

id: 4067
unit: def activation_fn()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 6
number of parameters: 2

id: 4068
unit: def get_conv_op()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 1

id: 4069
unit: def build_dataset()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 1

id: 4070
unit: def __init__()
file: official/legacy/detection/dataloader/anchor.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 4

id: 4071
unit: def pad_to_size()
file: official/legacy/detection/dataloader/shapemask_parser.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 2

id: 4072
unit: def fixed_padding()
file: official/legacy/detection/modeling/architecture/resnet.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 3

id: 4073
unit: def retinanet_head_generator()
file: official/legacy/detection/modeling/architecture/factory.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4074
unit: def __init__()
file: official/legacy/detection/modeling/base_model.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 2

id: 4075
unit: def focal_loss()
file: official/legacy/detection/modeling/losses.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 10
number of parameters: 5

id: 4076
unit: def __call__()
file: official/legacy/detection/modeling/losses.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 3

id: 4077
unit: def _rpn_center_l1_loss()
file: official/legacy/detection/modeling/losses.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 4

id: 4078
unit: def __init__()
file: official/legacy/detection/ops/roi_ops.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 2

id: 4079
unit: def call()
file: official/legacy/detection/ops/target_ops.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 6

id: 4080
unit: def normalize_image()
file: official/legacy/detection/utils/input_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 4

id: 4081
unit: def get_callbacks()
file: official/legacy/transformer/misc.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 0

id: 4082
unit: def padded_accuracy_topk()
file: official/legacy/transformer/utils/metrics.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4083
unit: def padded_accuracy_topk()
file: official/legacy/transformer/metrics.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4084
unit: def eval()
file: official/legacy/transformer/transformer_main.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 1

id: 4085
unit: def get_dataset_fn()
file: official/legacy/bert/run_squad_helper.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 4

id: 4086
unit: def _get_matched_files()
file: official/legacy/bert/run_squad_helper.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 1

id: 4087
unit: def single_file_dataset()
file: official/legacy/bert/input_pipeline.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 7
number of parameters: 3

id: 4088
unit: def __call__()
file: official/legacy/image_classification/learning_rate.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 2

id: 4089
unit: def build_eval_dataset()
file: official/legacy/image_classification/preprocessing.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 4

id: 4090
unit: def dtype()
file: official/legacy/image_classification/dataset_factory.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4091
unit: def build()
file: official/legacy/image_classification/dataset_factory.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 4092
unit: def get_loss_scale()
file: official/legacy/image_classification/classifier_trainer.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 2

id: 4093
unit: def blend()
file: official/legacy/image_classification/augment.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 7
number of parameters: 3

id: 4094
unit: def __init__()
file: official/legacy/image_classification/callbacks.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 10

id: 4095
unit: def call()
file: official/nlp/modeling/layers/masked_lm.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 3

id: 4096
unit: def __init__()
file: official/nlp/modeling/layers/on_device_embedding.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 7

id: 4097
unit: def call()
file: official/nlp/modeling/layers/cls_head.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 4098
unit: def __init__()
file: official/nlp/modeling/layers/position_embedding.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 5

id: 4099
unit: def call()
file: official/nlp/modeling/layers/text_layers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 2

id: 4100
unit: def call()
file: official/nlp/modeling/layers/bigbird_attention.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 6

id: 4101
unit: def get_config()
file: official/nlp/modeling/layers/mobile_bert_layers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4102
unit: def sequence_beam_search()
file: official/nlp/modeling/ops/beam_search.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 10

id: 4103
unit: def __init__()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 7

id: 4104
unit: def __init__()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 3

id: 4105
unit: def get_dev_examples()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 4106
unit: def __repr__()
file: official/nlp/data/squad_lib.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 1

id: 4107
unit: def __repr__()
file: official/nlp/data/squad_lib_sp.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 1

id: 4108
unit: def train_sentencepiece()
file: official/nlp/data/train_sentencepiece.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 5

id: 4109
unit: def main()
file: official/nlp/data/train_sentencepiece.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4110
unit: def _decode()
file: official/nlp/data/dual_encoder_dataloader.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 2

id: 4111
unit: def __call__()
file: official/nlp/optimization.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 4112
unit: def bert_pretraining()
file: official/nlp/configs/pretraining_experiments.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 0

id: 4113
unit: def bert_dynamic()
file: official/nlp/configs/pretraining_experiments.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 0

id: 4114
unit: def __call__()
file: official/nlp/xlnet/optimization.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 4115
unit: def compute_f1()
file: official/nlp/xlnet/squad_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 2

id: 4116
unit: def __init__()
file: official/nlp/xlnet/squad_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 7

id: 4117
unit: def create_classification_dataset()
file: official/nlp/xlnet/data_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 4

id: 4118
unit: def _f1_score()
file: official/nlp/tools/squad_evaluate_v1_1.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 2

id: 4119
unit: def _compute_f1()
file: official/nlp/tools/squad_evaluate_v2_0.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 2

id: 4120
unit: def build_model()
file: official/nlp/tasks/masked_lm.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 2

id: 4121
unit: def aggregate_logs()
file: official/nlp/tasks/tagging.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 4122
unit: def reduce_aggregated_logs()
file: official/nlp/tasks/tagging.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4123
unit: def __init__()
file: official/nlp/serving/serving_modules.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 4

id: 4124
unit: def __init__()
file: orbit/utils/tpu_summaries.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4125
unit: def create_train_loop_fn()
file: orbit/standard_runner.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 1

id: 4126
unit: def create_eval_loop_fn()
file: orbit/standard_runner.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 2

id: 4127
unit: def build_egomotion_test_graph()
file: research/vid2depth/model.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 1

id: 4128
unit: def count_parameters()
file: research/vid2depth/util.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 1

id: 4129
unit: def _egomotion_vec2mat()
file: research/vid2depth/project.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 2

id: 4130
unit: def load_pose_sequence()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 3

id: 4131
unit: def load_image_sequence()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 3

id: 4132
unit: def is_valid_example()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 4133
unit: def diff_rewards()
file: research/efficient-hrl/context/rewards_functions.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 7

id: 4134
unit: def step()
file: research/efficient-hrl/environments/maze_env.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 4135
unit: def __init__()
file: research/efficient-hrl/agent.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 7

id: 4136
unit: def sample()
file: research/efficient-hrl/agent.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 6

id: 4137
unit: def q_too_small()
file: research/efficient-hrl/cond_fn.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 7

id: 4138
unit: def build_model()
file: research/autoaugment/train_cifar.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 4

id: 4139
unit: void TensorflowTfLiteOpTest::ConstructTensorflowOp()
file: research/seq_flow_lite/tflite_ops/tf_tflite_diff_test_util.cc
start line: 108
end line: 122
size: 13 LOC
McCabe index: 3
number of parameters: 0

id: 4140
unit: def __init__()
file: research/seq_flow_lite/layers/base_layers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 6

id: 4141
unit: def add_weight_wrapper()
file: research/seq_flow_lite/layers/base_layers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 2

id: 4142
unit: def _conv_r4()
file: research/seq_flow_lite/layers/conv_layers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 3

id: 4143
unit: def labeling_metric()
file: research/seq_flow_lite/metric_functions.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 3

id: 4144
unit: int GetNumPattern()
file: research/seq_flow_lite/tf_ops/projection_normalizer_util.cc
start line: 52
end line: 64
size: 13 LOC
McCabe index: 3
number of parameters: 4

id: 4145
unit: std::string ProjectionNormalizer::Normalize()
file: research/seq_flow_lite/tf_ops/projection_normalizer_util.cc
start line: 136
end line: 158
size: 13 LOC
McCabe index: 3
number of parameters: 3

id: 4146
unit: void SplitByCharInternal()
file: research/seq_flow_lite/tf_ops/projection_util.cc
start line: 380
end line: 392
size: 13 LOC
McCabe index: 6
number of parameters: 4

id: 4147
unit: def _get_results()
file: research/cvt_text/task_specific/word_level/tagging_scorers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 1

id: 4148
unit: def __init__()
file: research/cvt_text/task_specific/word_level/word_level_data.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 4

id: 4149
unit: def create_feed_dict()
file: research/cvt_text/model/shared_inputs.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 3

id: 4150
unit: def build()
file: research/adversarial_text/layers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 2

id: 4151
unit: def classification_loss()
file: research/adversarial_text/layers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 3

id: 4152
unit: def train_step()
file: research/adversarial_text/train_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 4

id: 4153
unit: def __init__()
file: research/adversarial_text/graphs.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 1

id: 4154
unit: def BoxesToArrays()
file: research/delf/delf/python/box_io.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 1

id: 4155
unit: def _ParseFunction()
file: research/delf/delf/python/datasets/google_landmarks_dataset/googlelandmarks.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 4

id: 4156
unit: def PostProcessDescriptors()
file: research/delf/delf/python/feature_extractor.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 6
number of parameters: 3

id: 4157
unit: def cholesky()
file: research/delf/delf/python/whiten.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 1

id: 4158
unit: def _get_all_image_files_and_labels()
file: research/delf/delf/python/training/build_image_dataset.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 3

id: 4159
unit: def _process_image()
file: research/delf/delf/python/training/build_image_dataset.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 1

id: 4160
unit: def htime()
file: research/delf/delf/python/training/global_features_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 1

id: 4161
unit: def call()
file: research/delf/delf/python/training/model/resnet50.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4162
unit: def _compute_loss_and_gradient()
file: research/delf/delf/python/training/global_features/train_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 5

id: 4163
unit: def _random_sample_soft()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 5

id: 4164
unit: def __init__()
file: research/lstm_object_detection/inputs/tf_sequence_example_decoder.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 5

id: 4165
unit: bool MobileSSDClient::SetBatchSize()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 89
end line: 101
size: 13 LOC
McCabe index: 2
number of parameters: 1

id: 4166
unit: def create_input_queue()
file: research/lstm_object_detection/trainer.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 1

id: 4167
unit: def check_scene_graph()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 4168
unit: def preprocess_for_train()
file: research/cognitive_planning/preprocessing/vgg_preprocessing.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 5

id: 4169
unit: def build()
file: research/cognitive_planning/embedders.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 2

id: 4170
unit: def sample_step()
file: research/pcl_rl/model.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 6

id: 4171
unit: def remove_n()
file: research/pcl_rl/replay_buffer.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 2

id: 4172
unit: def entropy()
file: research/pcl_rl/policy.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 5

id: 4173
unit: def calculate_kl()
file: research/pcl_rl/policy.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 3

id: 4174
unit: def initial_obs()
file: research/pcl_rl/env_spec.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 6
number of parameters: 2

id: 4175
unit: def initial_act()
file: research/pcl_rl/env_spec.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 6
number of parameters: 2

id: 4176
unit: def spikify_data()
file: research/lfads/synth_data/synthetic_data_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 4

id: 4177
unit: def build_feed_dict()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 5

id: 4178
unit: def get_layer_class()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 9
number of parameters: 2

id: 4179
unit: def variables_to_restore()
file: research/attention_ocr/python/utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 2

id: 4180
unit: def normalize_image()
file: research/attention_ocr/python/model_export_lib.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 5

id: 4181
unit: def _reshape_keypoint_depths()
file: research/object_detection/data_decoders/tf_example_decoder.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 2

id: 4182
unit: def _reshape_keypoint_depth_weights()
file: research/object_detection/data_decoders/tf_example_decoder.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 2

id: 4183
unit: def write_graph_and_checkpoint()
file: research/object_detection/exporter.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 4

id: 4184
unit: def convert_labeled_classes_to_k_hot()
file: research/object_detection/inputs.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 3

id: 4185
unit: def main()
file: research/object_detection/metrics/offline_eval_map_corloc.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 1

id: 4186
unit: def _compute_panoptic_metrics_single_class()
file: research/object_detection/metrics/coco_evaluation.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 6
number of parameters: 5

id: 4187
unit: def densepose_proto_to_params()
file: research/object_detection/builders/model_builder.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4188
unit: def _build_calibrated_score_converter()
file: research/object_detection/builders/post_processing_builder.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 2

id: 4189
unit: def predict()
file: research/object_detection/core/box_predictor.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 5

id: 4190
unit: def scale()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 4

id: 4191
unit: def intersection()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4192
unit: def matched_intersection()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4193
unit: def l1()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4194
unit: def _self_suppression()
file: research/object_detection/core/post_processing.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 4

id: 4195
unit: def to_absolute_coordinates()
file: research/object_detection/core/densepose_ops.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 5

id: 4196
unit: def _apply_with_random_selector()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 5

id: 4197
unit: def normalize_image()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 5

id: 4198
unit: def _compute_loss()
file: research/object_detection/core/losses.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 5

id: 4199
unit: def to_absolute_coordinates()
file: research/object_detection/core/keypoint_ops.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 5

id: 4200
unit: def recursive_parse_xml_to_dict()
file: research/object_detection/utils/dataset_util.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 1

id: 4201
unit: def prune_outside_window()
file: research/object_detection/utils/np_box_list_ops.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 2

id: 4202
unit: def __init__()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 5

id: 4203
unit: def __init__()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 5

id: 4204
unit: def _update_score_distance_multiplier()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 4205
unit: def _update_std_dev_multiplier()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 4206
unit: def _update_rescoring_threshold()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 4207
unit: def load_categories_from_csv_file()
file: research/object_detection/utils/category_util.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 1

id: 4208
unit: def _predict_second_stage()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 8

id: 4209
unit: def fill_boxes()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4210
unit: def _preprocess_input()
file: research/object_detection/exporter_lib_v2.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4211
unit: def _run_segmentation_on_images()
file: research/object_detection/exporter_lib_v2.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 4

id: 4212
unit: def main()
file: research/object_detection/export_tflite_ssd_graph.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4213
unit: def construct_pipeline()
file: research/object_detection/dataset_tools/context_rcnn/generate_detection_data.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 6

id: 4214
unit: def __init__()
file: research/object_detection/dataset_tools/context_rcnn/add_context_to_examples.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 4

id: 4215
unit: def _resize_detection_masks()
file: research/object_detection/eval_util.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 1

id: 4216
unit: def BatchNormalization()
file: research/object_detection/models/keras_models/resnet_v1.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 2

id: 4217
unit: def test_has_fused_batchnorm()
file: research/object_detection/models/ssd_mobilenet_v3_feature_extractor_testbase.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 1

id: 4218
unit: def mobilenet_v2()
file: research/object_detection/models/center_net_mobilenet_v2_feature_extractor.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 5

id: 4219
unit: def build()
file: research/object_detection/models/ssd_efficientnet_bifpn_feature_extractor.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 2

id: 4220
unit: def test_has_fused_batchnorm()
file: research/object_detection/models/ssd_mobilenet_edgetpu_feature_extractor_testbase.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 1

id: 4221
unit: def _create_bifpn_input_config()
file: research/object_detection/models/bidirectional_feature_pyramid_generators.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 4
number of parameters: 4

id: 4222
unit: def mnasfpn()
file: research/object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 6

id: 4223
unit: def _spaghetti_edge()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 4

id: 4224
unit: def _spaghetti_stem_node()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 4

id: 4225
unit: def _download_and_uncompress_dataset()
file: research/slim/datasets/download_and_convert_cifar10.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 1

id: 4226
unit: def download_and_uncompress_zipfile()
file: research/slim/datasets/dataset_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 6
number of parameters: 2

id: 4227
unit: def _is_cmyk()
file: research/slim/datasets/build_imagenet_data.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4228
unit: def _find_image_bounding_boxes()
file: research/slim/datasets/build_imagenet_data.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 2

id: 4229
unit: def main()
file: research/slim/datasets/build_imagenet_data.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4230
unit: def get_network_fn()
file: research/slim/nets/nets_factory.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 3
number of parameters: 4

id: 4231
unit: def metrics()
file: research/slim/nets/mobilenet_v1_eval.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 2

id: 4232
unit: def __init__()
file: research/slim/nets/nasnet/pnasnet.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 2
number of parameters: 6

id: 4233
unit: def cifarnet_arg_scope()
file: research/slim/nets/cifarnet.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4234
unit: def batch_wise_dataset_shuffle()
file: research/deep_speech/data/dataset.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 4

id: 4235
unit: def main()
file: research/deep_speech/data/download.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 1

id: 4236
unit: def generate_dataset()
file: research/deep_speech/deep_speech.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 1

id: 4237
unit: def get_random_scale()
file: research/deeplab/core/preprocess_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 5
number of parameters: 3

id: 4238
unit: def _nas_stem()
file: research/deeplab/core/nas_network.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 2

id: 4239
unit: def __init__()
file: research/deeplab/core/nas_genotypes.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 6

id: 4240
unit: def _running_total()
file: research/deeplab/evaluation/streaming_metrics.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 3

id: 4241
unit: def get_model_gradient_multipliers()
file: research/deeplab/utils/train_utils.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 9
number of parameters: 2

id: 4242
unit: def _conv()
file: research/audioset/yamnet/yamnet.py
start line: 0
end line: 0
size: 13 LOC
McCabe index: 1
number of parameters: 5

id: 4243
unit: def unpack_inputs()
file: official/modeling/tf_utils.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 1

id: 4244
unit: def get_config()
file: official/modeling/optimization/lars_optimizer.py
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end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 1

id: 4245
unit: def __call__()
file: official/modeling/optimization/lr_schedule.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 2

id: 4246
unit: def __init__()
file: official/modeling/optimization/lr_schedule.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 6

id: 4247
unit: def set_mixed_precision_policy()
file: official/modeling/performance.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 2

id: 4248
unit: def train_step()
file: official/modeling/multitask/base_trainer.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 2

id: 4249
unit: def task_cumulative_distribution()
file: official/modeling/multitask/task_sampler.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 2

id: 4250
unit: def from_config()
file: official/modeling/multitask/multitask.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 3

id: 4251
unit: def update_pt_stage()
file: official/modeling/fast_training/progressive/policies.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 3

id: 4252
unit: def call()
file: official/vision/beta/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 3

id: 4253
unit: def __init__()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 5

id: 4254
unit: def __init__()
file: official/vision/beta/modeling/backbones/efficientnet.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 11

id: 4255
unit: def build_decoder()
file: official/vision/beta/modeling/decoders/factory.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 5

id: 4256
unit: def image_info_to_feature_dict()
file: official/vision/beta/data/tfrecord_lib.py
start line: 0
end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 6

id: 4257
unit: def _process_csv()
file: official/vision/beta/dataloaders/tf_example_label_map_decoder.py
start line: 0
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id: 4258
unit: def inference_fn()
file: official/vision/beta/dataloaders/classification_input.py
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size: 12 LOC
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number of parameters: 4

id: 4259
unit: def center_crop_image_v2()
file: official/vision/beta/ops/preprocess_ops.py
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end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 2

id: 4260
unit: def _get_num_pos_neg_samples()
file: official/vision/beta/ops/sampling_ops.py
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size: 12 LOC
McCabe index: 1
number of parameters: 3

id: 4261
unit: def _self_suppression()
file: official/vision/beta/ops/nms.py
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size: 12 LOC
McCabe index: 1
number of parameters: 3

id: 4262
unit: def _sample_or_pad_sequence_indices()
file: official/vision/beta/ops/preprocess_ops_3d.py
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size: 12 LOC
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number of parameters: 4

id: 4263
unit: def __init__()
file: official/vision/beta/evaluation/coco_utils.py
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size: 12 LOC
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number of parameters: 4

id: 4264
unit: def _build_pipeline()
file: official/vision/beta/evaluation/coco_utils.py
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number of parameters: 1

id: 4265
unit: def call()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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size: 12 LOC
McCabe index: 3
number of parameters: 2

id: 4266
unit: def _encoder_decoder_depth()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 4267
unit: def _make_repeated_residual_blocks()
file: official/vision/beta/projects/centernet/modeling/layers/cn_nn_blocks.py
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end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 0

id: 4268
unit: def get_top_k_peaks()
file: official/vision/beta/projects/centernet/modeling/layers/detection_generator.py
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size: 12 LOC
McCabe index: 3
number of parameters: 6

id: 4269
unit: def prune_completely_outside_window()
file: official/vision/beta/projects/centernet/ops/box_list_ops.py
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size: 12 LOC
McCabe index: 1
number of parameters: 2

id: 4270
unit: def _get_or_create_preprocess_rand_vars()
file: official/vision/beta/projects/centernet/ops/preprocess_ops.py
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size: 12 LOC
McCabe index: 3
number of parameters: 4

id: 4271
unit: def sort_drop()
file: official/vision/beta/projects/centernet/ops/nms_ops.py
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size: 12 LOC
McCabe index: 1
number of parameters: 4

id: 4272
unit: def update_weights_dict()
file: official/vision/beta/projects/centernet/utils/checkpoints/read_checkpoints.py
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size: 12 LOC
McCabe index: 4
number of parameters: 3

id: 4273
unit: def _build_block()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
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size: 12 LOC
McCabe index: 2
number of parameters: 4

id: 4274
unit: def get_raw_depths()
file: official/vision/beta/projects/yolo/modeling/decoders/yolo_decoder.py
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size: 12 LOC
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number of parameters: 3

id: 4275
unit: def decode()
file: official/vision/beta/projects/yolo/dataloaders/tf_example_decoder.py
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size: 12 LOC
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number of parameters: 2

id: 4276
unit: def _patch2()
file: official/vision/beta/projects/yolo/ops/mosaic.py
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size: 12 LOC
McCabe index: 1
number of parameters: 3

id: 4277
unit: def _augment_hsv_darknet()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
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size: 12 LOC
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number of parameters: 5

id: 4278
unit: def __init__()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
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number of parameters: 6

id: 4279
unit: def get()
file: official/vision/beta/projects/yolo/configs/yolo.py
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number of parameters: 3

id: 4280
unit: def _get_variable_group()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
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number of parameters: 3

id: 4281
unit: def get_config()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
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size: 12 LOC
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number of parameters: 1

id: 4282
unit: def build_model()
file: official/vision/beta/projects/yolo/tasks/yolo.py
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size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 4283
unit: def __call__()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
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number of parameters: 7

id: 4284
unit: def _postprocess_image()
file: official/vision/beta/projects/video_ssl/dataloaders/video_ssl_input.py
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size: 12 LOC
McCabe index: 5
number of parameters: 6

id: 4285
unit: def __call__()
file: official/vision/beta/projects/video_ssl/dataloaders/video_ssl_input.py
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size: 12 LOC
McCabe index: 3
number of parameters: 4

id: 4286
unit: def random_color_jitter_3d()
file: official/vision/beta/projects/video_ssl/ops/video_ssl_preprocess_ops.py
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end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 1

id: 4287
unit: def random_blur_3d()
file: official/vision/beta/projects/video_ssl/ops/video_ssl_preprocess_ops.py
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size: 12 LOC
McCabe index: 1
number of parameters: 4

id: 4288
unit: def _sample_or_pad_sequence_indices()
file: official/vision/beta/projects/video_ssl/ops/video_ssl_preprocess_ops.py
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end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 4

id: 4289
unit: def cross_replica_concat()
file: official/vision/beta/projects/simclr/losses/contrastive_losses.py
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end line: 0
size: 12 LOC
McCabe index: 5
number of parameters: 2

id: 4290
unit: def _get_decoder_fn()
file: official/vision/beta/tasks/video_classification.py
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size: 12 LOC
McCabe index: 3
number of parameters: 2

id: 4291
unit: def _rpn_score_loss()
file: official/vision/beta/losses/maskrcnn_losses.py
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end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 4

id: 4292
unit: def focal_loss()
file: official/vision/beta/losses/retinanet_losses.py
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end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 4

id: 4293
unit: def iou()
file: official/vision/utils/object_detection/region_similarity_calculator.py
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end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 3

id: 4294
unit: def _visualize_boxes_and_masks_and_keypoints()
file: official/vision/utils/object_detection/visualization_utils.py
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end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 8

id: 4295
unit: def _get_num_pos_neg_samples()
file: official/vision/utils/object_detection/balanced_positive_negative_sampler.py
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size: 12 LOC
McCabe index: 1
number of parameters: 3

id: 4296
unit: def get_leaf_nested_dict()
file: official/core/train_utils.py
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size: 12 LOC
McCabe index: 5
number of parameters: 3

id: 4297
unit: def maybe_export_checkpoint()
file: official/core/train_utils.py
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end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 5

id: 4298
unit: def write_json_summary()
file: official/core/train_utils.py
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size: 12 LOC
McCabe index: 3
number of parameters: 3

id: 4299
unit: def maybe_recover()
file: official/core/base_trainer.py
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size: 12 LOC
McCabe index: 3
number of parameters: 3

id: 4300
unit: def get_eval_actions()
file: official/core/actions.py
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number of parameters: 3

id: 4301
unit: def _collective_communication()
file: official/common/distribute_utils.py
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McCabe index: 2
number of parameters: 1

id: 4302
unit: def get_nondefault_flags_as_str()
file: official/utils/flags/core.py
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size: 12 LOC
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number of parameters: 0

id: 4303
unit: def require_cloud_storage()
file: official/utils/flags/_device.py
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number of parameters: 1

id: 4304
unit: def process()
file: official/recommendation/ranking/preprocessing/criteo_preprocess.py
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number of parameters: 2

id: 4305
unit: def call()
file: official/recommendation/ncf_keras_main.py
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number of parameters: 3

id: 4306
unit: def get_config()
file: official/projects/movinet/modeling/movinet_layers.py
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number of parameters: 1

id: 4307
unit: def call()
file: official/projects/movinet/modeling/movinet_layers.py
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number of parameters: 2

id: 4308
unit: def build_losses()
file: official/projects/yt8m/tasks/yt8m_task.py
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number of parameters: 4

id: 4309
unit: def build_metrics()
file: official/projects/yt8m/tasks/yt8m_task.py
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size: 12 LOC
McCabe index: 3
number of parameters: 2

id: 4310
unit: def _compute_relax_pre_rec()
file: official/projects/basnet/evaluation/metrics.py
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size: 12 LOC
McCabe index: 3
number of parameters: 4

id: 4311
unit: def _build_trig_vector()
file: official/projects/roformer/roformer_attention.py
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size: 12 LOC
McCabe index: 1
number of parameters: 2

id: 4312
unit: def get_exp_config()
file: official/projects/mobilebert/run_distillation.py
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size: 12 LOC
McCabe index: 1
number of parameters: 0

id: 4313
unit: def main()
file: official/projects/mobilebert/tf2_model_checkpoint_converter.py
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McCabe index: 3
number of parameters: 1

id: 4314
unit: def export_bert_tfhub()
file: official/projects/mobilebert/export_tfhub.py
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size: 12 LOC
McCabe index: 1
number of parameters: 5

id: 4315
unit: def fixed_padding()
file: official/projects/assemblenet/modeling/assemblenet.py
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McCabe index: 2
number of parameters: 2

id: 4316
unit: def conv2d_fixed_padding()
file: official/projects/assemblenet/modeling/assemblenet.py
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size: 12 LOC
McCabe index: 3
number of parameters: 4

id: 4317
unit: def get_config()
file: official/projects/assemblenet/modeling/rep_flow_2d_layer.py
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number of parameters: 1

id: 4318
unit: def _transform_and_batch_fn()
file: official/projects/detr/dataloaders/coco.py
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number of parameters: 3

id: 4319
unit: def build_metrics()
file: official/projects/detr/tasks/detection.py
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McCabe index: 3
number of parameters: 2

id: 4320
unit: def multidoc_parse_spec()
file: official/projects/nhnet/input_pipeline.py
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number of parameters: 2

id: 4321
unit: def _get_article_content_from_json()
file: official/projects/nhnet/raw_data_processor.py
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McCabe index: 2
number of parameters: 2

id: 4322
unit: def build_decoder()
file: official/projects/volumetric_models/modeling/decoders/factory.py
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McCabe index: 1
number of parameters: 5

id: 4323
unit: def result()
file: official/projects/volumetric_models/evaluation/segmentation_metrics.py
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number of parameters: 1

id: 4324
unit: def call()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
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number of parameters: 3

id: 4325
unit: def _build_attention()
file: official/projects/edgetpu/nlp/modeling/edgetpu_layers.py
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McCabe index: 2
number of parameters: 2

id: 4326
unit: def _rebuild_training_graph()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
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number of parameters: 1

id: 4327
unit: def __call__()
file: official/legacy/detection/modeling/architecture/heads.py
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number of parameters: 3

id: 4328
unit: def _get_priors()
file: official/legacy/detection/modeling/architecture/heads.py
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McCabe index: 3
number of parameters: 1

id: 4329
unit: def conv2d_fixed_padding()
file: official/legacy/detection/modeling/architecture/resnet.py
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McCabe index: 3
number of parameters: 5

id: 4330
unit: def fast_rcnn_head_generator()
file: official/legacy/detection/modeling/architecture/factory.py
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McCabe index: 1
number of parameters: 1

id: 4331
unit: def oln_box_score_head_generator()
file: official/legacy/detection/modeling/architecture/factory.py
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number of parameters: 1

id: 4332
unit: def norm_activation_builder()
file: official/legacy/detection/modeling/architecture/nn_ops.py
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McCabe index: 1
number of parameters: 5

id: 4333
unit: def model_generator()
file: official/legacy/detection/modeling/factory.py
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McCabe index: 5
number of parameters: 1

id: 4334
unit: def _rpn_score_loss()
file: official/legacy/detection/modeling/losses.py
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number of parameters: 4

id: 4335
unit: def metrics_as_dict()
file: official/legacy/detection/executor/distributed_executor.py
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number of parameters: 1

id: 4336
unit: def _select_top_k_scores()
file: official/legacy/detection/ops/postprocess_ops.py
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McCabe index: 1
number of parameters: 2

id: 4337
unit: def _self_suppression()
file: official/legacy/detection/ops/nms.py
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number of parameters: 3

id: 4338
unit: def __init__()
file: official/legacy/detection/evaluation/coco_utils.py
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number of parameters: 4

id: 4339
unit: def resize_and_crop_masks()
file: official/legacy/detection/utils/input_utils.py
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McCabe index: 1
number of parameters: 4

id: 4340
unit: def visualize_images_with_bounding_boxes()
file: official/legacy/detection/utils/box_utils.py
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McCabe index: 1
number of parameters: 4

id: 4341
unit: def call()
file: official/legacy/transformer/transformer.py
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McCabe index: 2
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id: 4342
unit: def _lcs()
file: official/legacy/transformer/utils/metrics.py
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number of parameters: 2

id: 4343
unit: def _load_vocab_file()
file: official/legacy/transformer/utils/tokenizer.py
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McCabe index: 4
number of parameters: 2

id: 4344
unit: def evaluate_and_log_bleu()
file: official/legacy/transformer/transformer_main.py
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McCabe index: 1
number of parameters: 6

id: 4345
unit: def bleu_on_list()
file: official/legacy/transformer/compute_bleu.py
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McCabe index: 7
number of parameters: 3

id: 4346
unit: def sequence_beam_search()
file: official/legacy/transformer/beam_search_v1.py
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McCabe index: 1
number of parameters: 9

id: 4347
unit: def serve_examples()
file: official/legacy/bert/serving.py
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McCabe index: 5
number of parameters: 2

id: 4348
unit: def load_synthetic()
file: official/legacy/image_classification/dataset_factory.py
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McCabe index: 1
number of parameters: 1

id: 4349
unit: def get_synth_data()
file: official/legacy/image_classification/resnet/common.py
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McCabe index: 1
number of parameters: 5

id: 4350
unit: def unwrap()
file: official/legacy/image_classification/augment.py
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McCabe index: 1
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id: 4351
unit: def _save_model()
file: official/legacy/image_classification/callbacks.py
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number of parameters: 3

id: 4352
unit: def get_config()
file: official/nlp/modeling/layers/kernel_attention.py
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unit: def call()
file: official/nlp/modeling/layers/cls_head.py
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file: official/nlp/modeling/layers/tn_expand_condense.py
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unit: def get_config()
file: official/nlp/modeling/layers/tn_expand_condense.py
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unit: def call()
file: official/nlp/modeling/layers/gaussian_process.py
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id: 4357
unit: def filter_kwargs()
file: official/nlp/modeling/layers/util.py
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McCabe index: 3
number of parameters: 1

id: 4358
unit: def _cache_memory()
file: official/nlp/modeling/layers/transformer_xl.py
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unit: def call()
file: official/nlp/modeling/layers/masked_softmax.py
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id: 4360
unit: def create_rand_mask_from_inputs()
file: official/nlp/modeling/layers/bigbird_attention.py
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McCabe index: 1
number of parameters: 8

id: 4361
unit: def _get_norm_layer()
file: official/nlp/modeling/layers/mobile_bert_layers.py
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number of parameters: 2

id: 4362
unit: def _process_finished_state()
file: official/nlp/modeling/ops/beam_search.py
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file: official/nlp/modeling/models/t5.py
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file: official/nlp/modeling/models/xlnet.py
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file: official/nlp/modeling/models/xlnet.py
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unit: def get_train_examples()
file: official/nlp/data/tagging_data_lib.py
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file: official/nlp/data/tagging_data_lib.py
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id: 4370
unit: def get_test_examples()
file: official/nlp/data/classifier_data_lib.py
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McCabe index: 4
number of parameters: 2

id: 4371
unit: def __str__()
file: official/nlp/data/create_pretraining_data.py
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McCabe index: 5
number of parameters: 1

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unit: def _window()
file: official/nlp/data/create_pretraining_data.py
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McCabe index: 4
number of parameters: 2

id: 4373
unit: def _whole_word_mask()
file: official/nlp/data/pretrain_dataloader.py
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McCabe index: 1
number of parameters: 3

id: 4374
unit: def __init__()
file: official/nlp/optimization.py
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McCabe index: 1
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id: 4375
unit: def apply_gradients()
file: official/nlp/optimization.py
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id: 4376
unit: def _do_use_weight_decay()
file: official/nlp/optimization.py
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number of parameters: 2

id: 4377
unit: def bleu_on_list()
file: official/nlp/metrics/bleu.py
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number of parameters: 3

id: 4378
unit: def __init__()
file: official/nlp/xlnet/optimization.py
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number of parameters: 6

id: 4379
unit: def normalize_answer()
file: official/nlp/xlnet/squad_utils.py
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id: 4380
unit: def find_all_best_thresh()
file: official/nlp/xlnet/squad_utils.py
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number of parameters: 6

id: 4381
unit: def __init__()
file: official/nlp/xlnet/xlnet_config.py
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number of parameters: 4

id: 4382
unit: def create_v2_checkpoint()
file: official/nlp/tools/tf1_bert_checkpoint_converter_lib.py
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size: 12 LOC
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number of parameters: 4

id: 4383
unit: def _normalize_answer()
file: official/nlp/tools/squad_evaluate_v2_0.py
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id: 4384
unit: def load_vocab()
file: official/nlp/tools/tokenization.py
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id: 4385
unit: def build_metrics()
file: official/nlp/tasks/masked_lm.py
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id: 4386
unit: def predict()
file: official/nlp/tasks/utils.py
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id: 4387
unit: def build_losses()
file: official/nlp/tasks/question_answering.py
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id: 4388
unit: def validation_step()
file: official/nlp/tasks/tagging.py
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id: 4389
unit: def serve()
file: official/nlp/serving/serving_modules.py
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id: 4390
unit: def get_inference_signatures()
file: official/nlp/serving/serving_modules.py
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id: 4391
unit: def __init__()
file: orbit/actions/new_best_metric.py
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id: 4392
unit: def evaluate_continuously()
file: orbit/controller.py
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id: 4393
unit: def ssim()
file: research/vid2depth/model.py
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id: 4394
unit: def get_cloud()
file: research/vid2depth/project.py
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id: 4395
unit: def is_valid_sample()
file: research/vid2depth/dataset/dataset_loader.py
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id: 4396
unit: def load_example()
file: research/vid2depth/dataset/dataset_loader.py
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id: 4397
unit: def is_valid_sample()
file: research/vid2depth/dataset/dataset_loader.py
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id: 4398
unit: def load_image_sequence()
file: research/vid2depth/dataset/dataset_loader.py
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id: 4399
unit: def is_valid_sample()
file: research/vid2depth/dataset/dataset_loader.py
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id: 4400
unit: def load_example()
file: research/vid2depth/dataset/dataset_loader.py
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id: 4401
unit: def read_calib_file()
file: research/vid2depth/dataset/dataset_loader.py
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id: 4402
unit: def potential_rewards()
file: research/efficient-hrl/context/rewards_functions.py
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id: 4403
unit: def target_critic_net()
file: research/efficient-hrl/agents/ddpg_agent.py
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id: 4404
unit: def _cutout_pil_impl()
file: research/autoaugment/augmentation_transforms.py
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id: 4405
unit: def setup_arg_scopes()
file: research/autoaugment/train_cifar.py
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id: 4406
unit: def _new_session()
file: research/autoaugment/train_cifar.py
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id: 4407
unit: def global_avg_pool()
file: research/autoaugment/custom_ops.py
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id: 4408
unit: def _batch_norm()
file: research/seq_flow_lite/layers/normalization_layers.py
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id: 4409
unit: def call()
file: research/seq_flow_lite/layers/qrnn_layers.py
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number of parameters: 4

id: 4410
unit: bool IsDigit()
file: research/seq_flow_lite/tf_ops/projection_normalizer_util.cc
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number of parameters: 1

id: 4411
unit: def compute_loss()
file: research/seq_flow_lite/trainer_v2.py
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number of parameters: 4

id: 4412
unit: def get_ngrams()
file: research/seq_flow_lite/models/sgnn/sgnn.py
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size: 12 LOC
McCabe index: 1
number of parameters: 2

id: 4413
unit: TfLiteStatus Prepare()
file: research/seq_flow_lite/models/sgnn/sgnn_projection.cc
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end line: 88
size: 12 LOC
McCabe index: 1
number of parameters: 2

id: 4414
unit: def get_tags()
file: research/cvt_text/task_specific/word_level/tagging_utils.py
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number of parameters: 3

id: 4415
unit: def _evaluate_task()
file: research/cvt_text/training/trainer.py
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number of parameters: 5

id: 4416
unit: def _get_training_mbs()
file: research/cvt_text/training/trainer.py
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number of parameters: 2

id: 4417
unit: def cl_logits_subgraph()
file: research/adversarial_text/layers.py
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number of parameters: 4

id: 4418
unit: def maybe_restore_pretrained_model()
file: research/adversarial_text/train_utils.py
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id: 4419
unit: def _inputs()
file: research/adversarial_text/graphs.py
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id: 4420
unit: def _log_values()
file: research/adversarial_text/evaluate.py
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id: 4421
unit: def __init__()
file: research/delf/delf/python/datasets/generic_dataset.py
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id: 4422
unit: def _PerCentroidNormalization()
file: research/delf/delf/python/feature_aggregation_extractor.py
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number of parameters: 2

id: 4423
unit: def _ComputeAsmk()
file: research/delf/delf/python/feature_aggregation_extractor.py
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id: 4424
unit: def _SigmaFn()
file: research/delf/delf/python/feature_aggregation_similarity.py
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number of parameters: 2

id: 4425
unit: def _BinaryNormalizedInnerProduct()
file: research/delf/delf/python/feature_aggregation_similarity.py
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size: 12 LOC
McCabe index: 3
number of parameters: 3

id: 4426
unit: def apply_whitening()
file: research/delf/delf/python/whiten.py
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McCabe index: 2
number of parameters: 4

id: 4427
unit: def __init__()
file: research/delf/delf/python/training/model/export_CNN_global.py
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number of parameters: 4

id: 4428
unit: def main()
file: research/delf/delf/python/training/model/export_local_model.py
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number of parameters: 1

id: 4429
unit: def log_weights()
file: research/delf/delf/python/training/model/resnet50.py
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size: 12 LOC
McCabe index: 4
number of parameters: 1

id: 4430
unit: def meta_repr()
file: research/delf/delf/python/training/model/global_model.py
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size: 12 LOC
McCabe index: 1
number of parameters: 1

id: 4431
unit: def add_grads_and_vars()
file: research/rebar/utils.py
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id: 4432
unit: def _create_loss()
file: research/rebar/rebar.py
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McCabe index: 1
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id: 4433
unit: def multiply_by_eta()
file: research/rebar/rebar.py
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number of parameters: 3

id: 4434
unit: def multiply_by_eta_per_layer()
file: research/rebar/rebar.py
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McCabe index: 4
number of parameters: 3

id: 4435
unit: def get_evaluators()
file: research/lstm_object_detection/evaluator.py
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size: 12 LOC
McCabe index: 4
number of parameters: 2

id: 4436
unit: def get_const_center_size_encoded_anchors()
file: research/lstm_object_detection/export_tflite_lstd_graph_lib.py
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size: 12 LOC
McCabe index: 1
number of parameters: 1

id: 4437
unit: std::string ReadFileToString()
file: research/lstm_object_detection/tflite/utils/file_utils.cc
start line: 25
end line: 36
size: 12 LOC
McCabe index: 1
number of parameters: 1

id: 4438
unit: def path_to_goal()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
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size: 12 LOC
McCabe index: 2
number of parameters: 2

id: 4439
unit: def _aspect_preserving_resize()
file: research/cognitive_planning/preprocessing/vgg_preprocessing.py
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size: 12 LOC
McCabe index: 1
number of parameters: 2

id: 4440
unit: def set_from_flat()
file: research/pcl_rl/optimizers.py
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McCabe index: 4
number of parameters: 2

id: 4441
unit: def add()
file: research/pcl_rl/replay_buffer.py
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McCabe index: 5
number of parameters: 3

id: 4442
unit: def set_from_flat()
file: research/pcl_rl/trust_region.py
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id: 4443
unit: def __init__()
file: research/lfads/distributions.py
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id: 4444
unit: def write_model_samples()
file: research/lfads/run_lfads.py
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McCabe index: 4
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id: 4445
unit: def write_model_parameters()
file: research/lfads/run_lfads.py
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McCabe index: 2
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id: 4446
unit: def eval_model_parameters()
file: research/lfads/lfads.py
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McCabe index: 7
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id: 4447
unit: def prepare_training_dir()
file: research/attention_ocr/python/train.py
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McCabe index: 3
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id: 4448
unit: def run()
file: research/attention_ocr/python/demo_inference.py
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McCabe index: 2
number of parameters: 4

id: 4449
unit: def conv_tower_fn()
file: research/attention_ocr/python/model.py
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number of parameters: 4

id: 4450
unit: def _create_lstm_inputs()
file: research/attention_ocr/python/model.py
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McCabe index: 3
number of parameters: 2

id: 4451
unit: def encode_coordinates_fn()
file: research/attention_ocr/python/model.py
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McCabe index: 2
number of parameters: 2

id: 4452
unit: def logits_to_log_prob()
file: research/attention_ocr/python/utils.py
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number of parameters: 1

id: 4453
unit: def _predict()
file: research/object_detection/predictors/heads/keras_mask_head.py
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number of parameters: 2

id: 4454
unit: def _predict()
file: research/object_detection/predictors/heads/keras_class_head.py
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number of parameters: 2

id: 4455
unit: def get_const_center_size_encoded_anchors()
file: research/object_detection/export_tflite_graph_lib_tf2.py
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number of parameters: 1

id: 4456
unit: def _expansion_box_field_labels()
file: research/object_detection/data_decoders/tf_example_decoder.py
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number of parameters: 4

id: 4457
unit: def profile_inference_graph()
file: research/object_detection/exporter.py
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McCabe index: 2
number of parameters: 1

id: 4458
unit: def recover_shape()
file: research/object_detection/tpu_exporters/ssd.py
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McCabe index: 1
number of parameters: 3

id: 4459
unit: def tracking_proto_to_params()
file: research/object_detection/builders/model_builder.py
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McCabe index: 1
number of parameters: 1

id: 4460
unit: def scale_height_width()
file: research/object_detection/core/box_list_ops.py
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number of parameters: 4

id: 4461
unit: def prune_outside_window()
file: research/object_detection/core/box_list_ops.py
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McCabe index: 1
number of parameters: 3

id: 4462
unit: def prune_completely_outside_window()
file: research/object_detection/core/box_list_ops.py
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McCabe index: 1
number of parameters: 3

id: 4463
unit: def non_max_suppression()
file: research/object_detection/core/box_list_ops.py
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McCabe index: 4
number of parameters: 4

id: 4464
unit: def to_normalized_coordinates()
file: research/object_detection/core/box_list_ops.py
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McCabe index: 2
number of parameters: 5

id: 4465
unit: def to_normalized_coordinates()
file: research/object_detection/core/densepose_ops.py
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McCabe index: 2
number of parameters: 5

id: 4466
unit: def _get_or_create_preprocess_rand_vars()
file: research/object_detection/core/preprocessor.py
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McCabe index: 3
number of parameters: 4

id: 4467
unit: def _compute_loss()
file: research/object_detection/core/losses.py
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McCabe index: 1
number of parameters: 4

id: 4468
unit: def prune_outside_window()
file: research/object_detection/core/keypoint_ops.py
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McCabe index: 1
number of parameters: 3

id: 4469
unit: def to_normalized_coordinates()
file: research/object_detection/core/keypoint_ops.py
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McCabe index: 2
number of parameters: 5

id: 4470
unit: def set_keypoint_visibilities()
file: research/object_detection/core/keypoint_ops.py
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McCabe index: 2
number of parameters: 2

id: 4471
unit: def get_const_center_size_encoded_anchors()
file: research/object_detection/export_tflite_ssd_graph_lib.py
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McCabe index: 1
number of parameters: 1

id: 4472
unit: def sort_by_field()
file: research/object_detection/utils/np_box_list_ops.py
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McCabe index: 6
number of parameters: 3

id: 4473
unit: def scale()
file: research/object_detection/utils/np_box_list_ops.py
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McCabe index: 2
number of parameters: 3

id: 4474
unit: def meshgrid()
file: research/object_detection/utils/ops.py
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McCabe index: 1
number of parameters: 2

id: 4475
unit: def draw_heatmaps_on_image()
file: research/object_detection/utils/visualization_utils.py
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size: 12 LOC
McCabe index: 2
number of parameters: 2

id: 4476
unit: def create_configs_from_pipeline_proto()
file: research/object_detection/utils/config_util.py
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end line: 0
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McCabe index: 4
number of parameters: 1

id: 4477
unit: def _update_classification_localization_weight_ratio()
file: research/object_detection/utils/config_util.py
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size: 12 LOC
McCabe index: 3
number of parameters: 2

id: 4478
unit: def remove_unnecessary_ema()
file: research/object_detection/utils/config_util.py
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size: 12 LOC
McCabe index: 6
number of parameters: 2

id: 4479
unit: def _update_rescore_instances()
file: research/object_detection/utils/config_util.py
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size: 12 LOC
McCabe index: 5
number of parameters: 2

id: 4480
unit: def filter_variables()
file: research/object_detection/utils/variables_helper.py
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size: 12 LOC
McCabe index: 7
number of parameters: 3

id: 4481
unit: def gaussian_weighted_score()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 4

id: 4482
unit: def gather_surface_coords_for_parts()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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size: 12 LOC
McCabe index: 1
number of parameters: 2

id: 4483
unit: def get_side_inputs()
file: research/object_detection/meta_architectures/context_rcnn_meta_arch.py
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size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 4484
unit: def project_features()
file: research/object_detection/meta_architectures/context_rcnn_lib_tf2.py
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McCabe index: 2
number of parameters: 5

id: 4485
unit: def __init__()
file: research/object_detection/meta_architectures/ssd_meta_arch_test_lib.py
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McCabe index: 1
number of parameters: 1

id: 4486
unit: def _generate()
file: research/object_detection/meta_architectures/ssd_meta_arch_test_lib.py
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McCabe index: 1
number of parameters: 4

id: 4487
unit: def restore_from_classification_checkpoint_fn()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 3

id: 4488
unit: def subsample_instances()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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McCabe index: 3
number of parameters: 5

id: 4489
unit: def __call__()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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McCabe index: 1
number of parameters: 2

id: 4490
unit: def _get_instance_embeddings()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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McCabe index: 1
number of parameters: 3

id: 4491
unit: def _compute_per_instance_mask_prediction_loss()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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McCabe index: 1
number of parameters: 4

id: 4492
unit: def loss()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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size: 12 LOC
McCabe index: 4
number of parameters: 4

id: 4493
unit: def expand_boxes_or_segments_from_csv()
file: research/object_detection/dataset_tools/oid_hierarchical_labels_expansion.py
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end line: 0
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McCabe index: 4
number of parameters: 3

id: 4494
unit: def get_sliding_window()
file: research/object_detection/dataset_tools/context_rcnn/add_context_to_examples.py
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McCabe index: 6
number of parameters: 3

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unit: def __init__()
file: research/object_detection/dataset_tools/context_rcnn/create_cococameratraps_tfexample_main.py
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id: 4496
unit: def init_model()
file: research/object_detection/models/keras_models/convert_keras_models.py
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size: 12 LOC
McCabe index: 5
number of parameters: 1

id: 4497
unit: def BatchNormalization()
file: research/object_detection/models/keras_models/mobilenet_v1.py
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end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 2

id: 4498
unit: def call()
file: research/object_detection/models/keras_models/hourglass_network.py
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size: 12 LOC
McCabe index: 3
number of parameters: 2

id: 4499
unit: def _encoder_decoder_depth()
file: research/object_detection/models/keras_models/hourglass_network.py
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size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 4500
unit: def BatchNormalization()
file: research/object_detection/models/keras_models/mobilenet_v2.py
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size: 12 LOC
McCabe index: 2
number of parameters: 2

id: 4501
unit: def get_box_classifier_feature_extractor_model()
file: research/object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py
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end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 2

id: 4502
unit: def test_extract_features_returns_correct_shapes_with_dynamic_inputs()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py
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end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 1

id: 4503
unit: def test_extract_features_returns_correct_shapes_with_pad_to_multiple()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py
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id: 4504
unit: def __init__()
file: research/object_detection/models/faster_rcnn_inception_resnet_v2_keras_feature_extractor.py
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id: 4505
unit: def __init__()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
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id: 4506
unit: def __init__()
file: research/object_detection/models/faster_rcnn_resnet_keras_feature_extractor.py
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id: 4507
unit: def __init__()
file: research/object_detection/models/faster_rcnn_resnet_keras_feature_extractor.py
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id: 4508
unit: def __init__()
file: research/object_detection/models/faster_rcnn_resnet_keras_feature_extractor.py
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size: 12 LOC
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id: 4509
unit: def download_url()
file: research/slim/datasets/dataset_utils.py
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size: 12 LOC
McCabe index: 1
number of parameters: 2

id: 4510
unit: def _aspect_preserving_resize()
file: research/slim/preprocessing/vgg_preprocessing.py
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size: 12 LOC
McCabe index: 1
number of parameters: 2

id: 4511
unit: def preprocess_for_eval()
file: research/slim/preprocessing/vgg_preprocessing.py
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size: 12 LOC
McCabe index: 2
number of parameters: 5

id: 4512
unit: def pix2pix_arg_scope()
file: research/slim/nets/pix2pix.py
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size: 12 LOC
McCabe index: 1
number of parameters: 0

id: 4513
unit: def i3d_base()
file: research/slim/nets/i3d.py
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size: 12 LOC
McCabe index: 1
number of parameters: 3

id: 4514
unit: def _set_arg_scope_defaults()
file: research/slim/nets/mobilenet/mobilenet.py
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end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 1

id: 4515
unit: def wrapped_partial()
file: research/slim/nets/mobilenet/mobilenet_v3.py
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end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 3

id: 4516
unit: def _pooling()
file: research/slim/nets/nasnet/nasnet_utils.py
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size: 12 LOC
McCabe index: 4
number of parameters: 4

id: 4517
unit: def _rnn_layer()
file: research/deep_speech/deep_speech_model.py
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size: 12 LOC
McCabe index: 3
number of parameters: 7

id: 4518
unit: def main()
file: research/deeplab/datasets/remove_gt_colormap.py
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end line: 0
size: 12 LOC
McCabe index: 4
number of parameters: 1

id: 4519
unit: def get_extra_layer_scopes()
file: research/deeplab/model.py
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end line: 0
size: 12 LOC
McCabe index: 2
number of parameters: 1

id: 4520
unit: def resolve_shape()
file: research/deeplab/core/preprocess_utils.py
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end line: 0
size: 12 LOC
McCabe index: 5
number of parameters: 3

id: 4521
unit: def resnet_v1_beta_block()
file: research/deeplab/core/resnet_v1_beta.py
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end line: 0
size: 12 LOC
McCabe index: 1
number of parameters: 4

id: 4522
unit: def print_detailed_results()
file: research/deeplab/evaluation/parsing_covering.py
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end line: 0
size: 12 LOC
McCabe index: 3
number of parameters: 3

id: 4523
unit: def _export_config()
file: official/modeling/hyperparams/base_config.py
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end line: 0
size: 11 LOC
McCabe index: 5
number of parameters: 2

id: 4524
unit: def make_divisible()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 4

id: 4525
unit: def get_config()
file: official/vision/beta/modeling/backbones/revnet.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 4526
unit: def checkpoint_items()
file: official/vision/beta/modeling/maskrcnn_model.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 1

id: 4527
unit: def calculate_batch_sizes()
file: official/vision/beta/dataloaders/input_reader.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 4528
unit: def decode()
file: official/vision/beta/dataloaders/video_input.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 4529
unit: def __call__()
file: official/vision/beta/dataloaders/video_input.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 4

id: 4530
unit: def make_video_test_example()
file: official/vision/beta/dataloaders/tfexample_utils.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4531
unit: def _decode_areas()
file: official/vision/beta/dataloaders/tf_example_decoder.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 2

id: 4532
unit: def __init__()
file: official/vision/beta/ops/anchor_generator.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 6

id: 4533
unit: def maybe_map_structure_for_anchor()
file: official/vision/beta/ops/anchor_generator.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 5
number of parameters: 2

id: 4534
unit: def center_crop_image()
file: official/vision/beta/ops/preprocess_ops.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 4535
unit: def unpack_labels()
file: official/vision/beta/ops/anchor.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 4536
unit: def yxyx_to_xywh()
file: official/vision/beta/ops/box_ops.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 1

id: 4537
unit: def yxyx_to_cycxhw()
file: official/vision/beta/ops/box_ops.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 1

id: 4538
unit: def cycxhw_to_yxyx()
file: official/vision/beta/ops/box_ops.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 1

id: 4539
unit: def rotate()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 2

id: 4540
unit: def _apply_func_with_prob()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 5

id: 4541
unit: def distort()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4542
unit: def mnv2_deeplabv3plus_cityscapes()
file: official/vision/beta/configs/semantic_segmentation.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 0

id: 4543
unit: def build_model()
file: official/vision/beta/projects/panoptic_maskrcnn/tasks/panoptic_maskrcnn.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 1

id: 4544
unit: def hourglass_depth()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 1

id: 4545
unit: def build_model()
file: official/vision/beta/projects/deepmac_maskrcnn/tasks/deep_mask_head_rcnn.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 1

id: 4546
unit: def call()
file: official/vision/beta/projects/centernet/modeling/centernet_model.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 4

id: 4547
unit: def get_output_length_dict()
file: official/vision/beta/projects/centernet/configs/centernet.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 1

id: 4548
unit: def _load_weights()
file: official/vision/beta/projects/centernet/utils/tf2_centernet_checkpoint_converter.py
start line: 0
end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 4

id: 4549
unit: def generate_block_weights()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_classes.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 4550
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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size: 11 LOC
McCabe index: 2
number of parameters: 3

id: 4551
unit: def _call_reversed()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 3

id: 4552
unit: def build()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 4553
unit: def call()
file: official/vision/beta/projects/yolo/modeling/decoders/yolo_decoder.py
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size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 4554
unit: def random_uniform_strong()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
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end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 5

id: 4555
unit: def _tie_breaking_search()
file: official/vision/beta/projects/yolo/ops/anchor.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 5

id: 4556
unit: def sigmoid_bce()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4557
unit: def color_jitter()
file: official/vision/beta/projects/video_ssl/ops/video_ssl_preprocess_ops.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 3

id: 4558
unit: def build_inputs()
file: official/vision/beta/projects/video_ssl/tasks/pretrain.py
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size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4559
unit: def color_jitter()
file: official/vision/beta/projects/simclr/dataloaders/preprocess_ops.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 4

id: 4560
unit: def build_model()
file: official/vision/beta/tasks/retinanet.py
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McCabe index: 2
number of parameters: 1

id: 4561
unit: def build_model()
file: official/vision/beta/tasks/maskrcnn.py
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McCabe index: 2
number of parameters: 1

id: 4562
unit: def inference_step()
file: official/vision/beta/tasks/video_classification.py
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McCabe index: 3
number of parameters: 3

id: 4563
unit: def build_model()
file: official/vision/beta/tasks/image_classification.py
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McCabe index: 2
number of parameters: 1

id: 4564
unit: def build_model()
file: official/vision/beta/tasks/semantic_segmentation.py
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McCabe index: 2
number of parameters: 1

id: 4565
unit: def _build_inputs()
file: official/vision/beta/serving/semantic_segmentation.py
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size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 4566
unit: def _fast_rcnn_box_loss()
file: official/vision/beta/losses/maskrcnn_losses.py
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size: 11 LOC
McCabe index: 2
number of parameters: 5

id: 4567
unit: def prune_non_overlapping_boxes()
file: official/vision/utils/object_detection/box_list_ops.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 4

id: 4568
unit: def get_center_coordinates_and_sizes()
file: official/vision/utils/object_detection/box_list.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 4569
unit: def initialize_common_flags()
file: official/utils/hyperparams_flags.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 0

id: 4570
unit: def get_loss_scale()
file: official/utils/flags/_performance.py
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McCabe index: 6
number of parameters: 2

id: 4571
unit: def __init__()
file: official/recommendation/ranking/data/data_pipeline.py
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McCabe index: 1
number of parameters: 6

id: 4572
unit: def mask_duplicates()
file: official/recommendation/stat_utils.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 4573
unit: def _regularize_1m_dataset()
file: official/recommendation/movielens.py
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size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 4574
unit: def _regularize_20m_dataset()
file: official/recommendation/movielens.py
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size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 4575
unit: def integerize_genres()
file: official/recommendation/movielens.py
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size: 11 LOC
McCabe index: 3
number of parameters: 1

id: 4576
unit: def call()
file: official/projects/movinet/modeling/movinet_layers.py
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end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 4577
unit: def initial_state_specs()
file: official/projects/movinet/modeling/movinet.py
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size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 4578
unit: def _gather_indexes()
file: official/projects/teams/teams_pretrainer.py
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size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4579
unit: def frame_pooling()
file: official/projects/yt8m/modeling/yt8m_model_utils.py
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end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 4580
unit: def ClipGradientNorms()
file: official/projects/yt8m/dataloaders/utils.py
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size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 4581
unit: def _convert_to_numpy()
file: official/projects/yt8m/eval_utils/eval_util.py
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size: 11 LOC
McCabe index: 3
number of parameters: 3

id: 4582
unit: def call()
file: official/projects/basnet/modeling/nn_blocks.py
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McCabe index: 2
number of parameters: 3

id: 4583
unit: def build_model()
file: official/projects/basnet/tasks/basnet.py
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size: 11 LOC
McCabe index: 2
number of parameters: 1

id: 4584
unit: def process_metrics()
file: official/projects/mobilebert/distillation.py
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size: 11 LOC
McCabe index: 5
number of parameters: 4

id: 4585
unit: def _in_xla_context()
file: official/projects/bigbird/recompute_grad.py
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size: 11 LOC
McCabe index: 6
number of parameters: 1

id: 4586
unit: def _make_seed_if_none()
file: official/projects/bigbird/recompute_grad.py
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size: 11 LOC
McCabe index: 3
number of parameters: 1

id: 4587
unit: def scatter_labels()
file: official/projects/triviaqa/inputs.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4588
unit: def softmax_merge_peer_attentions()
file: official/projects/assemblenet/modeling/assemblenet_plus.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 1

id: 4589
unit: def create_model()
file: official/projects/nhnet/models.py
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size: 11 LOC
McCabe index: 4
number of parameters: 3

id: 4590
unit: def _parse()
file: official/projects/text_classification_example/classification_data_loader.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4591
unit: def load_weights()
file: official/projects/edgetpu/vision/modeling/common_modules.py
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McCabe index: 3
number of parameters: 3

id: 4592
unit: def call()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
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McCabe index: 4
number of parameters: 4

id: 4593
unit: def get_models()
file: official/projects/edgetpu/vision/tasks/image_classification.py
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end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 0

id: 4594
unit: def load_searched_model()
file: official/projects/edgetpu/vision/tasks/image_classification.py
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McCabe index: 2
number of parameters: 1

id: 4595
unit: def get_models()
file: official/projects/edgetpu/vision/tasks/semantic_segmentation.py
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size: 11 LOC
McCabe index: 4
number of parameters: 0

id: 4596
unit: def build_model()
file: official/projects/edgetpu/vision/tasks/semantic_segmentation.py
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size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 4597
unit: def call()
file: official/projects/edgetpu/nlp/modeling/edgetpu_layers.py
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McCabe index: 4
number of parameters: 3

id: 4598
unit: def train_step()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
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McCabe index: 1
number of parameters: 2

id: 4599
unit: def unpack_labels()
file: official/legacy/detection/dataloader/anchor.py
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size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 4600
unit: def __call__()
file: official/legacy/detection/modeling/architecture/heads.py
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McCabe index: 2
number of parameters: 3

id: 4601
unit: def call()
file: official/legacy/detection/modeling/architecture/nn_blocks.py
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McCabe index: 2
number of parameters: 2

id: 4602
unit: def mask_rcnn_head_generator()
file: official/legacy/detection/modeling/architecture/factory.py
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end line: 0
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McCabe index: 1
number of parameters: 1

id: 4603
unit: def oln_mask_score_head_generator()
file: official/legacy/detection/modeling/architecture/factory.py
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McCabe index: 1
number of parameters: 1

id: 4604
unit: def _fast_rcnn_box_loss()
file: official/legacy/detection/modeling/losses.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 5

id: 4605
unit: def get_grid_one_hot()
file: official/legacy/detection/ops/spatial_transform_ops.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 4

id: 4606
unit: def _build_pipeline()
file: official/legacy/detection/evaluation/coco_utils.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 4607
unit: def yxyx_to_xywh()
file: official/legacy/detection/utils/box_utils.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 1

id: 4608
unit: def _create_min_max_boundaries()
file: official/legacy/transformer/data_pipeline.py
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end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 3

id: 4609
unit: def padded_sequence_accuracy()
file: official/legacy/transformer/utils/metrics.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 2

id: 4610
unit: def encode()
file: official/legacy/transformer/utils/tokenizer.py
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end line: 0
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McCabe index: 3
number of parameters: 3

id: 4611
unit: def _token_to_subtoken_ids()
file: official/legacy/transformer/utils/tokenizer.py
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id: 4612
unit: def _unescape_token()
file: official/legacy/transformer/utils/tokenizer.py
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id: 4613
unit: def padded_sequence_accuracy()
file: official/legacy/transformer/metrics.py
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id: 4614
unit: def _load_weights_if_possible()
file: official/legacy/transformer/transformer_main.py
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id: 4615
unit: def get_raw_files()
file: official/legacy/transformer/data_download.py
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id: 4616
unit: def _process_finished_state()
file: official/legacy/transformer/beam_search_v1.py
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number of parameters: 2

id: 4617
unit: def train_squad()
file: official/legacy/bert/run_squad.py
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number of parameters: 6

id: 4618
unit: def load_records()
file: official/legacy/image_classification/dataset_factory.py
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id: 4619
unit: def __call__()
file: official/legacy/image_classification/resnet/common.py
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id: 4620
unit: def define_pruning_flags()
file: official/legacy/image_classification/resnet/common.py
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number of parameters: 0

id: 4621
unit: def get_filenames()
file: official/legacy/image_classification/resnet/imagenet_preprocessing.py
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number of parameters: 2

id: 4622
unit: def export_tfhub()
file: official/legacy/image_classification/resnet/tfhub_export.py
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number of parameters: 2

id: 4623
unit: def export()
file: official/legacy/image_classification/classifier_trainer.py
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id: 4624
unit: def rotate()
file: official/legacy/image_classification/augment.py
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id: 4625
unit: def _flatten_dict()
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id: 4626
unit: def _gather_indexes()
file: official/nlp/modeling/layers/masked_lm.py
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id: 4627
unit: def call()
file: official/nlp/modeling/layers/cls_head.py
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unit: def get_config()
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id: 4629
unit: def get_config()
file: official/nlp/modeling/layers/cls_head.py
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id: 4630
unit: def __init__()
file: official/nlp/modeling/layers/position_embedding.py
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id: 4631
unit: def mean_field_logits()
file: official/nlp/modeling/layers/gaussian_process.py
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id: 4632
unit: def call()
file: official/nlp/modeling/layers/bigbird_attention.py
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unit: def _gather_indexes()
file: official/nlp/modeling/layers/mobile_bert_layers.py
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unit: def _build_attention()
file: official/nlp/modeling/layers/reuse_attention.py
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id: 4635
unit: def _validate_rank()
file: official/nlp/modeling/losses/weighted_sparse_categorical_crossentropy.py
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unit: def get_config()
file: official/nlp/modeling/models/xlnet.py
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id: 4637
unit: def _create_min_max_boundaries()
file: official/nlp/data/wmt_dataloader.py
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id: 4638
unit: def _tokenize()
file: official/nlp/data/wmt_dataloader.py
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id: 4639
unit: def __init__()
file: official/nlp/data/classifier_data_lib.py
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unit: def __init__()
file: official/nlp/data/classifier_data_lib.py
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id: 4641
unit: def _reshape_to_batch_dimensions()
file: official/nlp/data/create_xlnet_pretraining_data.py
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id: 4642
unit: def write_instances_to_tfrecord()
file: official/nlp/data/create_xlnet_pretraining_data.py
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id: 4643
unit: def truncate_seq_pair()
file: official/nlp/data/create_pretraining_data.py
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id: 4644
unit: def name_to_features_spec()
file: official/nlp/data/sentence_prediction_dataloader.py
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id: 4645
unit: def __init__()
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unit: def _parse()
file: official/nlp/data/tagging_dataloader.py
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id: 4647
unit: def _cache_mem()
file: official/nlp/xlnet/xlnet_modeling.py
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id: 4648
unit: def call()
file: official/nlp/xlnet/xlnet_modeling.py
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id: 4649
unit: def __repr__()
file: official/nlp/xlnet/squad_utils.py
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id: 4650
unit: def __init__()
file: official/nlp/xlnet/preprocess_classification_data.py
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unit: def __init__()
file: official/nlp/xlnet/classifier_utils.py
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id: 4652
unit: def _normalize_answer()
file: official/nlp/tools/squad_evaluate_v1_1.py
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id: 4653
unit: def _tokenize_chinese_chars()
file: official/nlp/tools/tokenization.py
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id: 4654
unit: def _is_chinese_char()
file: official/nlp/tools/tokenization.py
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id: 4655
unit: def _clean_text()
file: official/nlp/tools/tokenization.py
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number of parameters: 2

id: 4656
unit: def aggregate_logs()
file: official/nlp/tasks/translation.py
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id: 4657
unit: def _dummy_data()
file: official/nlp/tasks/question_answering.py
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id: 4658
unit: def validation_step()
file: official/nlp/tasks/question_answering.py
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id: 4659
unit: def aggregate_logs()
file: official/nlp/tasks/sentence_prediction.py
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id: 4660
unit: def train()
file: orbit/controller.py
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id: 4661
unit: def __init__()
file: orbit/standard_runner.py
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id: 4662
unit: def build_depth_test_graph()
file: research/vid2depth/model.py
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id: 4663
unit: def unpack_image_batches()
file: research/vid2depth/model.py
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id: 4664
unit: def augment_image_colorspace()
file: research/vid2depth/reader.py
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id: 4665
unit: def collect_frames()
file: research/vid2depth/dataset/dataset_loader.py
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id: 4666
unit: def collect_static_frames()
file: research/vid2depth/dataset/dataset_loader.py
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id: 4667
unit: def relative_context_transition_fn()
file: research/efficient-hrl/context/context_transition_functions.py
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number of parameters: 7

id: 4668
unit: def relative_context_multi_transition_fn()
file: research/efficient-hrl/context/context_transition_functions.py
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number of parameters: 6

id: 4669
unit: def unmerged_states()
file: research/efficient-hrl/agent.py
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id: 4670
unit: def sample_random_actions()
file: research/efficient-hrl/agent.py
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id: 4671
unit: def clip_actions()
file: research/efficient-hrl/agent.py
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id: 4672
unit: def call()
file: research/seq_flow_lite/layers/normalization_layers.py
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id: 4673
unit: def call()
file: research/seq_flow_lite/layers/qrnn_layers.py
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id: 4674
unit: def call()
file: research/seq_flow_lite/layers/qrnn_layers.py
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id: 4675
unit: def create_optimizer()
file: research/seq_flow_lite/trainer.py
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id: 4676
unit: def call()
file: research/seq_flow_lite/models/pqrnn.py
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id: 4677
unit: def save_and_convert()
file: research/seq_flow_lite/models/sgnn/train.py
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id: 4678
unit: def __init__()
file: research/seq_flow_lite/models/prado.py
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id: 4679
unit: def _get_results()
file: research/cvt_text/task_specific/word_level/tagging_scorers.py
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id: 4680
unit: def _get_results()
file: research/cvt_text/task_specific/word_level/tagging_scorers.py
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number of parameters: 1

id: 4681
unit: def main()
file: research/adversarial_text/gen_data.py
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unit: def main()
file: research/adversarial_text/train_classifier.py
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id: 4683
unit: def __repr__()
file: research/delf/delf/python/datasets/tuples_dataset.py
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id: 4684
unit: def pil_imagenet_loader()
file: research/delf/delf/python/datasets/utils.py
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id: 4685
unit: def _WriteMappingBasenameToIds()
file: research/delf/delf/python/detect_to_retrieve/boxes_and_features_extraction.py
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unit: def call()
file: research/delf/delf/python/training/model/resnet50.py
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id: 4687
unit: def apply_arcface_margin()
file: research/delf/delf/python/training/model/delg_model.py
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unit: def call()
file: research/delf/delf/python/training/model/delf_model.py
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id: 4689
unit: def get_gumbel_gradient()
file: research/rebar/rebar.py
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id: 4690
unit: def _create_loss()
file: research/rebar/rebar.py
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unit: def main()
file: research/rebar/rebar_train.py
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id: 4692
unit: bool MobileLSTDTfLiteClient::Inference()
file: research/lstm_object_detection/tflite/mobile_lstd_tflite_client.cc
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id: 4693
unit: bool MobileSSDTfLiteClient::Inference()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
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id: 4694
unit: void ApplyThreshold()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
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id: 4695
unit: def extract_base_features_large()
file: research/lstm_object_detection/models/lstm_ssd_interleaved_mobilenet_v2_feature_extractor.py
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unit: def _draw_detections()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
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id: 4697
unit: def trajectory_to_deltas()
file: research/cognitive_planning/envs/util.py
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id: 4698
unit: def preprocess_for_eval()
file: research/cognitive_planning/preprocessing/cifarnet_preprocessing.py
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id: 4699
unit: def _smallest_size_at_least()
file: research/cognitive_planning/preprocessing/vgg_preprocessing.py
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id: 4700
unit: def _print_debug_ios()
file: research/cognitive_planning/policies.py
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id: 4701
unit: def __init__()
file: research/cognitive_planning/policies.py
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id: 4702
unit: def build()
file: research/cognitive_planning/policies.py
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id: 4703
unit: def _visualize_boxes_and_masks_and_keypoints()
file: research/cognitive_planning/visualization_utils.py
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id: 4704
unit: def __init__()
file: research/cognitive_planning/embedders.py
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id: 4705
unit: def setup()
file: research/pcl_rl/optimizers.py
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id: 4706
unit: def __init__()
file: research/pcl_rl/replay_buffer.py
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id: 4707
unit: def reset()
file: research/pcl_rl/gym_wrapper.py
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unit: def __init__()
file: research/pcl_rl/policy.py
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id: 4709
unit: def discounted_two_sided_sum()
file: research/pcl_rl/objective.py
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id: 4710
unit: def sample_expert_paths()
file: research/pcl_rl/expert_paths.py
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id: 4711
unit: def convert_action_to_gym()
file: research/pcl_rl/env_spec.py
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id: 4712
unit: def jsonify_dict()
file: research/lfads/run_lfads.py
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id: 4713
unit: def randomize_example_idxs_mod_batch_size()
file: research/lfads/lfads.py
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id: 4714
unit: def spikify_rates()
file: research/lfads/lfads.py
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id: 4715
unit: def _predict()
file: research/object_detection/predictors/heads/keras_mask_head.py
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id: 4716
unit: def _predict()
file: research/object_detection/predictors/heads/keras_mask_head.py
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id: 4717
unit: def _predict()
file: research/object_detection/predictors/heads/keras_box_head.py
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id: 4718
unit: def _reshape_keypoints()
file: research/object_detection/data_decoders/tf_example_decoder.py
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number of parameters: 2

id: 4719
unit: def _load_labelmap()
file: research/object_detection/metrics/oid_challenge_evaluation.py
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id: 4720
unit: def add_single_detected_image_info()
file: research/object_detection/metrics/coco_evaluation.py
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number of parameters: 3

id: 4721
unit: def generate()
file: research/object_detection/core/anchor_generator.py
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McCabe index: 5
number of parameters: 3

id: 4722
unit: def _rgb_to_grayscale()
file: research/object_detection/core/preprocessor.py
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id: 4723
unit: def _compute_loss()
file: research/object_detection/core/losses.py
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id: 4724
unit: def flip_horizontal()
file: research/object_detection/core/keypoint_ops.py
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id: 4725
unit: def flip_vertical()
file: research/object_detection/core/keypoint_ops.py
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id: 4726
unit: def rot90()
file: research/object_detection/core/keypoint_ops.py
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id: 4727
unit: def _get_num_pos_neg_samples()
file: research/object_detection/core/balanced_positive_negative_sampler.py
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id: 4728
unit: def flatten_dimensions()
file: research/object_detection/utils/shape_utils.py
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id: 4729
unit: def resize_images_and_return_shapes()
file: research/object_detection/utils/shape_utils.py
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McCabe index: 3
number of parameters: 2

id: 4730
unit: def _get_overlaps_and_scores_relation_tuples()
file: research/object_detection/utils/per_image_vrd_evaluation.py
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McCabe index: 2
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id: 4731
unit: def box_list_to_box_mask_list()
file: research/object_detection/utils/np_box_mask_list_ops.py
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McCabe index: 4
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id: 4732
unit: def _valid_indicator()
file: research/object_detection/utils/spatial_transform_ops.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4733
unit: def multilevel_matmul_crop_and_resize()
file: research/object_detection/utils/spatial_transform_ops.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 6

id: 4734
unit: def __init__()
file: research/object_detection/utils/np_box_mask_list.py
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size: 11 LOC
McCabe index: 5
number of parameters: 3

id: 4735
unit: def gather()
file: research/object_detection/utils/np_box_list_ops.py
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end line: 0
size: 11 LOC
McCabe index: 6
number of parameters: 3

id: 4736
unit: def tile_context_tensors()
file: research/object_detection/utils/ops.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 1

id: 4737
unit: def center_to_corner_coordinate()
file: research/object_detection/utils/ops.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 4738
unit: def _initialize_detections()
file: research/object_detection/utils/object_detection_evaluation.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 1

id: 4739
unit: def __init__()
file: research/object_detection/utils/np_box_list.py
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number of parameters: 2

id: 4740
unit: def _get_classification_loss()
file: research/object_detection/utils/config_util.py
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size: 11 LOC
McCabe index: 3
number of parameters: 1

id: 4741
unit: def __init__()
file: research/object_detection/utils/per_image_evaluation.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 6

id: 4742
unit: def validate_tf_v2_checkpoint_restore_map()
file: research/object_detection/model_lib_v2.py
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end line: 0
size: 11 LOC
McCabe index: 7
number of parameters: 1

id: 4743
unit: def prediction_tensors_to_temporal_offsets()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 3

id: 4744
unit: def argmax_feature_map_locations()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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size: 11 LOC
McCabe index: 2
number of parameters: 1

id: 4745
unit: def _should_clip_keypoints()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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McCabe index: 4
number of parameters: 1

id: 4746
unit: def predict()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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size: 11 LOC
McCabe index: 3
number of parameters: 3

id: 4747
unit: def _minibatch_subsample_fn()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 4748
unit: def _summarize_anchor_classification_loss()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4749
unit: def __init__()
file: research/object_detection/meta_architectures/context_rcnn_lib_tf2.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4750
unit: def get_proposal_feature_extractor_model()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 2

id: 4751
unit: def __init__()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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number of parameters: 6

id: 4752
unit: def _compute_clip_window()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 2

id: 4753
unit: def _per_pixel_single_conv()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4754
unit: def __init__()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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end line: 0
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McCabe index: 1
number of parameters: 3

id: 4755
unit: def hourglass_depth()
file: research/object_detection/models/keras_models/hourglass_network.py
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end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 1

id: 4756
unit: def _inverted_bottleneck_no_expansion()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 6

id: 4757
unit: def test_extract_features_returns_correct_shapes_289()
file: research/object_detection/models/ssd_resnet_v1_ppn_feature_extractor_testbase.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 4758
unit: def test_extract_features_returns_correct_shapes_with_dynamic_inputs()
file: research/object_detection/models/ssd_resnet_v1_ppn_feature_extractor_testbase.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 4759
unit: def __init__()
file: research/object_detection/models/faster_rcnn_pnas_feature_extractor.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 6

id: 4760
unit: def __init__()
file: research/object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py
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size: 11 LOC
McCabe index: 3
number of parameters: 6

id: 4761
unit: def __init__()
file: research/object_detection/models/faster_rcnn_resnet_v1_feature_extractor.py
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size: 11 LOC
McCabe index: 1
number of parameters: 7

id: 4762
unit: def __init__()
file: research/object_detection/models/faster_rcnn_resnet_v1_feature_extractor.py
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size: 11 LOC
McCabe index: 1
number of parameters: 7

id: 4763
unit: def __init__()
file: research/object_detection/models/faster_rcnn_resnet_v1_feature_extractor.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 7

id: 4764
unit: def test_extract_features_returns_correct_shapes_256()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 1

id: 4765
unit: def test_variables_only_created_in_scope()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 1

id: 4766
unit: def __init__()
file: research/object_detection/models/faster_rcnn_nas_feature_extractor.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 6

id: 4767
unit: def read_label_file()
file: research/slim/datasets/dataset_utils.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 4768
unit: def _build_synset_lookup()
file: research/slim/datasets/build_imagenet_data.py
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end line: 0
size: 11 LOC
McCabe index: 3
number of parameters: 1

id: 4769
unit: def _smallest_size_at_least()
file: research/slim/preprocessing/vgg_preprocessing.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4770
unit: def _fixed_padding()
file: research/slim/nets/mobilenet_v1.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4771
unit: def _fixed_padding()
file: research/slim/nets/mobilenet/mobilenet.py
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size: 11 LOC
McCabe index: 1
number of parameters: 3

id: 4772
unit: def __init__()
file: research/slim/nets/nasnet/nasnet_utils.py
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size: 11 LOC
McCabe index: 1
number of parameters: 9

id: 4773
unit: def reduced_kernel_size_3d()
file: research/slim/nets/i3d_utils.py
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end line: 0
size: 11 LOC
McCabe index: 2
number of parameters: 2

id: 4774
unit: def clone_device()
file: research/slim/deployment/model_deploy.py
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end line: 0
size: 11 LOC
McCabe index: 4
number of parameters: 2

id: 4775
unit: def __init__()
file: research/deep_speech/data/dataset.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 2

id: 4776
unit: def per_device_batch_size()
file: research/deep_speech/deep_speech.py
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size: 11 LOC
McCabe index: 3
number of parameters: 2

id: 4777
unit: def __init__()
file: research/deeplab/datasets/build_data.py
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McCabe index: 3
number of parameters: 3

id: 4778
unit: def _get_pyramid_pooling_arguments()
file: research/deeplab/core/dense_prediction_cell.py
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size: 11 LOC
McCabe index: 2
number of parameters: 5

id: 4779
unit: def _parsing_covering_helper()
file: research/deeplab/evaluation/streaming_metrics.py
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end line: 0
size: 11 LOC
McCabe index: 1
number of parameters: 9

id: 4780
unit: def create_label_colormap()
file: research/deeplab/utils/get_dataset_colormap.py
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end line: 0
size: 11 LOC
McCabe index: 5
number of parameters: 1

id: 4781
unit: def __setattr__()
file: official/modeling/hyperparams/params_dict.py
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end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 3

id: 4782
unit: def as_dict()
file: official/modeling/hyperparams/oneof.py
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McCabe index: 3
number of parameters: 1

id: 4783
unit: def shadow_copy()
file: official/modeling/optimization/ema_optimizer.py
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McCabe index: 4
number of parameters: 2

id: 4784
unit: def __init__()
file: official/modeling/multitask/task_sampler.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 5

id: 4785
unit: def _causal_validate_init()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 4786
unit: def call()
file: official/vision/beta/modeling/layers/roi_aligner.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 4787
unit: def block_spec_decoder()
file: official/vision/beta/modeling/backbones/efficientnet.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4788
unit: def _build_input_pyramid()
file: official/vision/beta/modeling/decoders/nasfpn.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 4789
unit: def _build_input_pyramid()
file: official/vision/beta/modeling/decoders/fpn.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 4790
unit: def input_reader_generator()
file: official/vision/beta/dataloaders/input_reader_factory.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 4791
unit: def compute_padded_size()
file: official/vision/beta/ops/preprocess_ops.py
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end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4792
unit: def color_jitter()
file: official/vision/beta/ops/preprocess_ops.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 4793
unit: def random_brightness()
file: official/vision/beta/ops/preprocess_ops.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 4794
unit: def random_contrast()
file: official/vision/beta/ops/preprocess_ops.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 4795
unit: def random_saturation()
file: official/vision/beta/ops/preprocess_ops.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 4796
unit: def __init__()
file: official/vision/beta/ops/anchor.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 4797
unit: def filter_boxes_by_scores()
file: official/vision/beta/ops/box_ops.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4798
unit: def rotate_with_bboxes()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4799
unit: def select_and_apply_random_policy()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 3

id: 4800
unit: def combined_static_and_dynamic_shape()
file: official/vision/beta/ops/sampling_ops.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 4801
unit: def indices_to_dense_vector()
file: official/vision/beta/ops/sampling_ops.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 4802
unit: def matmul_gather_on_zeroth_axis()
file: official/vision/beta/ops/sampling_ops.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4803
unit: def subsample_indicator()
file: official/vision/beta/ops/sampling_ops.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 4804
unit: def video_classification()
file: official/vision/beta/configs/video_classification.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 4805
unit: def result_per_category()
file: official/vision/beta/evaluation/panoptic_quality.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 4806
unit: def evaluate()
file: official/vision/beta/evaluation/wod_detection_evaluator.py
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size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 4807
unit: def call_images_and_boxes()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/maskrcnn_model.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 4808
unit: def _get_bn_op_and_kwargs()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/instance_heads.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 4809
unit: def assert_or_prune_invalid_boxes()
file: official/vision/beta/projects/centernet/ops/box_list_ops.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 4810
unit: def get_cfg_list()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_data.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4811
unit: def build_losses()
file: official/vision/beta/projects/example/example_task.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4812
unit: def call()
file: official/vision/beta/projects/yolo/modeling/yolo_model.py
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size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4813
unit: def _call_regular()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4814
unit: def build()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4815
unit: def _call_regular()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4816
unit: def call()
file: official/vision/beta/projects/yolo/modeling/decoders/yolo_decoder.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 4817
unit: def _get_mask()
file: official/vision/beta/projects/yolo/ops/anchor.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 4818
unit: def _set_variable_groups()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
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end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 4

id: 4819
unit: def video_ssl_pretrain_kinetics400()
file: official/vision/beta/projects/video_ssl/configs/video_ssl.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 4820
unit: def video_ssl_pretrain_kinetics600()
file: official/vision/beta/projects/video_ssl/configs/video_ssl.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 4821
unit: def tpu_cross_replica_concat()
file: official/vision/beta/projects/video_ssl/losses/losses.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4822
unit: def random_brightness()
file: official/vision/beta/projects/simclr/dataloaders/preprocess_ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4823
unit: def random_color_jitter()
file: official/vision/beta/projects/simclr/dataloaders/preprocess_ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 4824
unit: def __init__()
file: official/vision/beta/projects/simclr/dataloaders/simclr_input.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4825
unit: def decode()
file: official/vision/beta/projects/simclr/dataloaders/simclr_input.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4826
unit: def _decode_image()
file: official/vision/beta/serving/export_base.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 2

id: 4827
unit: def _build_anchor_boxes()
file: official/vision/beta/serving/detection.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 4828
unit: def _build_inputs()
file: official/vision/beta/serving/image_classification.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 4829
unit: def decode_image()
file: official/vision/beta/serving/export_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 3

id: 4830
unit: def __init__()
file: official/vision/beta/losses/retinanet_losses.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 6

id: 4831
unit: def combined_static_and_dynamic_shape()
file: official/vision/utils/object_detection/shape_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 4832
unit: def iou()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 4833
unit: def change_coordinate_frame()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 4834
unit: def subsample_indicator()
file: official/vision/utils/object_detection/minibatch_sampler.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 4835
unit: def scale_boxes_to_pixel_coordinates()
file: official/vision/utils/object_detection/preprocessor.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4836
unit: def indices_to_dense_vector()
file: official/vision/utils/object_detection/ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 4837
unit: def matmul_gather_on_zeroth_axis()
file: official/vision/utils/object_detection/ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4838
unit: def _visualize_boxes_and_masks()
file: official/vision/utils/object_detection/visualization_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 7

id: 4839
unit: def _visualize_boxes_and_keypoints()
file: official/vision/utils/object_detection/visualization_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 7

id: 4840
unit: def get_files()
file: official/core/input_reader.py
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end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4841
unit: def run_experiment()
file: official/core/train_lib.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 4842
unit: def __init__()
file: official/core/train_utils.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4843
unit: def _get_checkpoint_manager()
file: official/core/train_utils.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 4844
unit: def parse_configuration()
file: official/core/train_utils.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4845
unit: def create_optimizer()
file: official/core/base_task.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4846
unit: def __init__()
file: official/core/base_trainer.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 4847
unit: def distribute_dataset()
file: official/core/base_trainer.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4848
unit: def eval_step()
file: official/core/base_trainer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4849
unit: def __init__()
file: official/core/actions.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 4850
unit: def strategy_flags_dict()
file: official/utils/hyperparams_flags.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 0

id: 4851
unit: def hparam_flags_dict()
file: official/utils/hyperparams_flags.py
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size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 4852
unit: def build_inputs()
file: official/utils/testing/mock_task.py
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size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 4853
unit: def _start_shuffle_iterator()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 4854
unit: def apply_vocab_fn()
file: official/recommendation/ranking/preprocessing/criteo_preprocess.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 4855
unit: def compute_vocab_fn()
file: official/recommendation/ranking/preprocessing/criteo_preprocess.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 4856
unit: def process()
file: official/recommendation/ranking/preprocessing/criteo_preprocess.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 4857
unit: def init_states()
file: official/projects/movinet/modeling/movinet.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4858
unit: def _get_generator_hidden_layers()
file: official/projects/teams/teams_task.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4859
unit: def sample_random_frames()
file: official/projects/yt8m/modeling/yt8m_model_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 4860
unit: def _get_video_matrix()
file: official/projects/yt8m/dataloaders/yt8m_input.py
start line: 0
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size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 4861
unit: def _parse_train_data()
file: official/projects/yt8m/dataloaders/yt8m_input.py
start line: 0
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size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4862
unit: def _parse_eval_data()
file: official/projects/yt8m/dataloaders/yt8m_input.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4863
unit: def yt8m()
file: official/projects/yt8m/configs/yt8m.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 4864
unit: def peek_ap_at_n()
file: official/projects/yt8m/eval_utils/average_precision_calculator.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 4865
unit: def from_config()
file: official/projects/roformer/roformer_encoder.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4866
unit: def _get_distribution_losses()
file: official/projects/mobilebert/distillation.py
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size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 4867
unit: def __init__()
file: official/projects/triviaqa/dataset.py
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size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 4868
unit: def split_and_pad()
file: official/projects/triviaqa/prediction.py
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size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 4869
unit: def main()
file: official/projects/triviaqa/evaluate.py
start line: 0
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size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 4870
unit: def get_config()
file: official/projects/assemblenet/modeling/assemblenet_plus.py
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size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 4871
unit: def get_model_params()
file: official/projects/nhnet/models.py
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size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4872
unit: def normalize_url()
file: official/projects/nhnet/raw_data_processor.py
start line: 0
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size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4873
unit: def _build_input_pyramid()
file: official/projects/volumetric_models/modeling/decoders/unet_3d_decoder.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 4874
unit: def build_losses()
file: official/projects/volumetric_models/tasks/semantic_segmentation_3d.py
start line: 0
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size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4875
unit: def _copy_recursively()
file: official/projects/edgetpu/vision/tasks/image_classification.py
start line: 0
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size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4876
unit: def _get_distribution_losses()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 4877
unit: def calculate_accuracy_metrics()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
start line: 0
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size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4878
unit: def __init__()
file: official/legacy/detection/dataloader/anchor.py
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size: 10 LOC
McCabe index: 1
number of parameters: 6

id: 4879
unit: def call()
file: official/legacy/detection/modeling/architecture/heads.py
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size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4880
unit: def build_model()
file: official/legacy/detection/modeling/maskrcnn_model.py
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size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4881
unit: def __call__()
file: official/legacy/detection/modeling/losses.py
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size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 4882
unit: def __call__()
file: official/legacy/detection/modeling/losses.py
start line: 0
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size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 4883
unit: def build_model()
file: official/legacy/detection/modeling/olnmask_model.py
start line: 0
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size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4884
unit: def build_model()
file: official/legacy/detection/modeling/shapemask_model.py
start line: 0
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size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4885
unit: def __init__()
file: official/legacy/detection/executor/distributed_executor.py
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size: 10 LOC
McCabe index: 1
number of parameters: 6

id: 4886
unit: def _save_config()
file: official/legacy/detection/executor/distributed_executor.py
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size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 4887
unit: def _get_input_iterator()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 4888
unit: def nearest_upsampling()
file: official/legacy/detection/ops/spatial_transform_ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4889
unit: def compute_padded_size()
file: official/legacy/detection/utils/input_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4890
unit: def filter_boxes_by_scores()
file: official/legacy/detection/utils/box_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4891
unit: def get_model_params()
file: official/legacy/transformer/misc.py
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size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4892
unit: def decode()
file: official/legacy/transformer/utils/tokenizer.py
start line: 0
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size: 10 LOC
McCabe index: 5
number of parameters: 2

id: 4893
unit: def _subtoken_ids_to_tokens()
file: official/legacy/transformer/utils/tokenizer.py
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size: 10 LOC
McCabe index: 5
number of parameters: 2

id: 4894
unit: def get_raw_results()
file: official/legacy/bert/run_squad_helper.py
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size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 4895
unit: def _save_checkpoint()
file: official/legacy/bert/model_training_utils.py
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size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 4896
unit: def steps_to_run()
file: official/legacy/bert/model_training_utils.py
start line: 0
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size: 10 LOC
McCabe index: 4
number of parameters: 3

id: 4897
unit: def get_loss_fn()
file: official/legacy/bert/run_classifier.py
start line: 0
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size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 4898
unit: def serve_body()
file: official/legacy/bert/serving.py
start line: 0
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size: 10 LOC
McCabe index: 6
number of parameters: 4

id: 4899
unit: def info()
file: official/legacy/image_classification/dataset_factory.py
start line: 0
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size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 4900
unit: def get_num_train_iterations()
file: official/legacy/image_classification/resnet/resnet_ctl_imagenet_main.py
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size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 4901
unit: def _get_learning_rate()
file: official/legacy/image_classification/resnet/common.py
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size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 4902
unit: def on_epoch_begin()
file: official/legacy/image_classification/callbacks.py
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size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 4903
unit: def get_config()
file: official/nlp/modeling/layers/on_device_embedding.py
start line: 0
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size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 4904
unit: def call()
file: official/nlp/modeling/layers/block_diag_feedforward.py
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size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4905
unit: def __call__()
file: official/nlp/modeling/layers/util.py
start line: 0
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size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4906
unit: def __init__()
file: official/nlp/modeling/layers/masked_softmax.py
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size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4907
unit: def call()
file: official/nlp/modeling/layers/mat_mul_with_margin.py
start line: 0
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size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 4908
unit: def _expand_to_same_rank()
file: official/nlp/modeling/ops/beam_search.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4909
unit: def scatter_values_on_batch_indices()
file: official/nlp/modeling/ops/sampling_module.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 4910
unit: def _get_new_alive_state()
file: official/nlp/modeling/ops/sampling_module.py
start line: 0
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size: 10 LOC
McCabe index: 1
number of parameters: 6

id: 4911
unit: def expand_to_same_rank()
file: official/nlp/modeling/ops/decoding_module.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4912
unit: def _sample_from_other_batch()
file: official/nlp/modeling/ops/segment_extractor.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4913
unit: def from_config()
file: official/nlp/modeling/networks/bert_encoder.py
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size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4914
unit: def from_config()
file: official/nlp/modeling/networks/bert_encoder.py
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size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4915
unit: def from_config()
file: official/nlp/modeling/networks/funnel_transformer.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4916
unit: def loss()
file: official/nlp/modeling/losses/weighted_sparse_categorical_crossentropy.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4917
unit: def _embedding_linear()
file: official/nlp/modeling/models/seq2seq_transformer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 4918
unit: def sample_from_softmax()
file: official/nlp/modeling/models/electra_pretrainer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4919
unit: def _maybe_truncate()
file: official/nlp/data/wmt_dataloader.py
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end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 2

id: 4920
unit: def _create_examples()
file: official/nlp/data/sentence_retrieval_lib.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4921
unit: def __init__()
file: official/nlp/data/classifier_data_lib.py
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size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4922
unit: def _create_examples()
file: official/nlp/data/classifier_data_lib.py
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size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4923
unit: def __str__()
file: official/nlp/data/create_xlnet_pretraining_data.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 4924
unit: def _get_boundary_indices()
file: official/nlp/data/create_xlnet_pretraining_data.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4925
unit: def _create_mask()
file: official/nlp/xlnet/xlnet_modeling.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4926
unit: def batchify()
file: official/nlp/xlnet/preprocess_pretrain_data.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4927
unit: def _convert_example()
file: official/nlp/xlnet/preprocess_pretrain_data.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 6
number of parameters: 2

id: 4928
unit: def print_()
file: official/nlp/xlnet/preprocess_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 4929
unit: def _create_examples()
file: official/nlp/xlnet/preprocess_classification_data.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4930
unit: def _apply_no_ans_threshold()
file: official/nlp/tools/squad_evaluate_v2_0.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 4931
unit: def _find_all_best_thresh()
file: official/nlp/tools/squad_evaluate_v2_0.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 6

id: 4932
unit: def _move_to_tmpdir()
file: official/nlp/tools/export_tfhub_lib.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4933
unit: def process_metrics()
file: official/nlp/tasks/masked_lm.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 4

id: 4934
unit: def build_metrics()
file: official/nlp/tasks/dual_encoder.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 4935
unit: def build_metrics()
file: official/nlp/tasks/question_answering.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4936
unit: def build_losses()
file: official/nlp/tasks/sentence_prediction.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 4937
unit: def serve_text_examples()
file: official/nlp/serving/serving_modules.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4938
unit: def create_tf_while_loop_fn()
file: orbit/utils/loop_fns.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 4939
unit: def transform_cloud_xyz()
file: research/vid2depth/ops/icp_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 4940
unit: def np_transform_cloud_xyz()
file: research/vid2depth/ops/icp_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 4941
unit: def batch_transform_cloud_xyz()
file: research/vid2depth/ops/icp_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 4942
unit: def depth_smoothness()
file: research/vid2depth/model.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 4943
unit: def inference()
file: research/vid2depth/model.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 4944
unit: def unpack_images()
file: research/vid2depth/reader.py
start line: 0
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size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4945
unit: def get_multi_scale_intrinsics()
file: research/vid2depth/reader.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4946
unit: def read_raw_calib_file()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4947
unit: def collect_frames()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 4948
unit: def load_example()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 4949
unit: def __init__()
file: research/efficient-hrl/context/samplers.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 6

id: 4950
unit: def gen_debug_batch_summaries()
file: research/efficient-hrl/train_utils.py
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end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 4951
unit: def compute_model_loss()
file: research/efficient-hrl/utils/eval_utils.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4952
unit: def main()
file: research/efficient-hrl/run_eval.py
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size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 4953
unit: def __call__()
file: research/efficient-hrl/agent.py
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size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4954
unit: def every_n_steps()
file: research/efficient-hrl/cond_fn.py
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size: 10 LOC
McCabe index: 1
number of parameters: 7

id: 4955
unit: def critic_function()
file: research/efficient-hrl/agents/ddpg_agent.py
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size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 4956
unit: def shortcut()
file: research/autoaugment/shake_drop.py
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size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4957
unit: def _build_models()
file: research/autoaugment/train_cifar.py
start line: 0
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size: 10 LOC
McCabe index: 5
number of parameters: 1

id: 4958
unit: def _calc_starting_epoch()
file: research/autoaugment/train_cifar.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 4959
unit: def avg_pool()
file: research/autoaugment/custom_ops.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 4960
unit: TensorProto BoolTensor()
file: research/seq_flow_lite/tflite_ops/tf_tflite_diff_test_util.cc
start line: 59
end line: 68
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4961
unit: TensorProto IntTensor()
file: research/seq_flow_lite/tflite_ops/tf_tflite_diff_test_util.cc
start line: 70
end line: 79
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4962
unit: TensorProto FloatTensor()
file: research/seq_flow_lite/tflite_ops/tf_tflite_diff_test_util.cc
start line: 81
end line: 90
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4963
unit: TensorProto StringTensor()
file: research/seq_flow_lite/tflite_ops/tf_tflite_diff_test_util.cc
start line: 92
end line: 101
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4964
unit: def _dense_r34()
file: research/seq_flow_lite/layers/dense_layers.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4965
unit: std::string GetCharToken()
file: research/seq_flow_lite/tf_ops/projection_normalizer_util.cc
start line: 40
end line: 49
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 4966
unit: inline uint64_t Load64VariableLength()
file: research/seq_flow_lite/tf_ops/projection_util.cc
start line: 61
end line: 73
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 4967
unit: bool GetHashCodes()
file: research/seq_flow_lite/tf_ops/projection_util.h
start line: 55
end line: 64
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 4968
unit: def call()
file: research/seq_flow_lite/models/prado.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4969
unit: def build_array()
file: research/cvt_text/corpus_processing/minibatching.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4970
unit: def _fill_array()
file: research/cvt_text/corpus_processing/minibatching.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 4

id: 4971
unit: def _get_optimizer()
file: research/cvt_text/model/multitask_model.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 4972
unit: def __init__()
file: research/cvt_text/training/trainer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4973
unit: def build()
file: research/adversarial_text/layers.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 4974
unit: def __init__()
file: research/adversarial_text/layers.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 4975
unit: def build_lm_sequence()
file: research/adversarial_text/data/data_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 4976
unit: def make_restore_average_vars_dict()
file: research/adversarial_text/graphs.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 0

id: 4977
unit: def adversarial_loss_bidir()
file: research/adversarial_text/adversarial_losses.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4978
unit: def ArrayToDatum()
file: research/delf/delf/python/datum_io.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 4979
unit: def Top1Accuracy()
file: research/delf/delf/python/datasets/google_landmarks_dataset/metrics.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 6
number of parameters: 2

id: 4980
unit: def AdjustPositiveRanks()
file: research/delf/delf/python/datasets/revisited_op/dataset.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 2

id: 4981
unit: def _ReadMappingBasenameToBoxNames()
file: research/delf/delf/python/detect_to_retrieve/aggregation_extraction.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 4982
unit: def WriteToFile()
file: research/delf/delf/python/feature_io.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 6

id: 4983
unit: def _random_sample()
file: research/rebar/rebar.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 4984
unit: def eval()
file: research/rebar/rebar_train.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4985
unit: def _create_detection_op()
file: research/lstm_object_detection/evaluator.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4986
unit: def decode()
file: research/lstm_object_detection/inputs/tf_sequence_example_decoder.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4987
unit: bool HasPadding()
file: research/lstm_object_detection/tflite/utils/conversion_utils.cc
start line: 23
end line: 33
size: 10 LOC
McCabe index: 4
number of parameters: 4

id: 4988
unit: void ValidateBoxes()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
start line: 75
end line: 85
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 4989
unit: def get_configs_from_pipeline_file()
file: research/lstm_object_detection/utils/config_util.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 4990
unit: def preprocess_image()
file: research/cognitive_planning/preprocessing/cifarnet_preprocessing.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 5

id: 4991
unit: def _central_crop()
file: research/cognitive_planning/preprocessing/vgg_preprocessing.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 4992
unit: def _mean_image_subtraction()
file: research/cognitive_planning/preprocessing/vgg_preprocessing.py
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end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 4993
unit: def preprocess_image()
file: research/cognitive_planning/preprocessing/inception_preprocessing.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 7

id: 4994
unit: def _visualize_boxes_and_masks()
file: research/cognitive_planning/visualization_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 7

id: 4995
unit: def _visualize_boxes_and_keypoints()
file: research/cognitive_planning/visualization_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 7

id: 4996
unit: def load_labelmap()
file: research/cognitive_planning/label_map_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 4997
unit: def __init__()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4998
unit: def __init__()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 4999
unit: def _compute_shortest_path_length()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 5000
unit: def setup()
file: research/pcl_rl/optimizers.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 7

id: 5001
unit: def sampling_distribution()
file: research/pcl_rl/replay_buffer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 5002
unit: def single_step()
file: research/pcl_rl/policy.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 5003
unit: def single_step()
file: research/pcl_rl/policy.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 5

id: 5004
unit: def get_baseline()
file: research/pcl_rl/trainer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 5005
unit: def get_value_opt()
file: research/pcl_rl/trainer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 5006
unit: def get_model()
file: research/pcl_rl/trainer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 5007
unit: def get_replay_buffer()
file: research/pcl_rl/trainer.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 5008
unit: def normalize_rates()
file: research/lfads/synth_data/synthetic_data_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 3

id: 5009
unit: def gaussify_data()
file: research/lfads/synth_data/synthetic_data_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 5010
unit: def __init__()
file: research/lfads/distributions.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 5

id: 5011
unit: def logp_t()
file: research/lfads/distributions.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 5012
unit: def list_t_bxn_to_list_b_txn()
file: research/lfads/utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 5013
unit: def __init__()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 8

id: 5014
unit: def get_batch()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 4

id: 5015
unit: def load_images()
file: research/attention_ocr/python/demo_inference.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 5016
unit: def get_softmax_loss_fn()
file: research/attention_ocr/python/model.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 5017
unit: def get_tensor_dimensions()
file: research/attention_ocr/python/model.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 5018
unit: def axis_pad()
file: research/attention_ocr/python/model.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 5

id: 5019
unit: def preprocess_image()
file: research/attention_ocr/python/inception_preprocessing.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 6

id: 5020
unit: def _predict()
file: research/object_detection/predictors/convolutional_keras_box_predictor.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 3

id: 5021
unit: def _predict()
file: research/object_detection/predictors/heads/keras_class_head.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 5022
unit: def __init__()
file: research/object_detection/predictors/mask_rcnn_box_predictor.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 6

id: 5023
unit: def _get_postprocess_fn()
file: research/object_detection/export_tflite_graph_lib_tf2.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 5024
unit: def __init__()
file: research/object_detection/export_tflite_graph_lib_tf2.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 5

id: 5025
unit: def _reshape_instance_masks()
file: research/object_detection/data_decoders/tf_example_decoder.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 5026
unit: def _get_outputs_from_inputs()
file: research/object_detection/exporter.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 5027
unit: def assert_or_prune_invalid_boxes()
file: research/object_detection/inputs.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 5028
unit: def dump_detections_to_json_file()
file: research/object_detection/metrics/lvis_evaluation.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 5029
unit: def __init__()
file: research/object_detection/metrics/calibration_evaluation.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 5030
unit: def _generate_sharded_filenames()
file: research/object_detection/metrics/offline_eval_map_corloc.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 5031
unit: def __init__()
file: research/object_detection/metrics/coco_tools.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 5032
unit: def _to_normalized_box()
file: research/object_detection/metrics/oid_challenge_evaluation_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 5033
unit: def build()
file: research/object_detection/builders/model_builder.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 5034
unit: def _tf_linear_interp1d()
file: research/object_detection/builders/calibration_builder.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 5035
unit: def _function_approximation_proto_to_tf_tensors()
file: research/object_detection/builders/calibration_builder.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 5036
unit: def build_batch_norm()
file: research/object_detection/builders/hyperparams_builder.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 5037
unit: def _build_activation_fn()
file: research/object_detection/builders/hyperparams_builder.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 1

id: 5038
unit: def _build_keras_regularizer()
file: research/object_detection/builders/hyperparams_builder.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 5039
unit: def __init__()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 3

id: 5040
unit: def iou()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 5041
unit: def visualize_boxes_in_image()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 5042
unit: def _compare()
file: research/object_detection/core/region_similarity_calculator.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 5043
unit: def scale_boxes_to_pixel_coordinates()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 5044
unit: def _compute_loss()
file: research/object_detection/core/losses.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 5045
unit: def combined_static_and_dynamic_shape()
file: research/object_detection/utils/shape_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 5046
unit: def expand_first_dimension()
file: research/object_detection/utils/shape_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 5047
unit: def compute_detection_tp_fp()
file: research/object_detection/utils/per_image_vrd_evaluation.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 6

id: 5048
unit: def feature_grid_coordinate_vectors()
file: research/object_detection/utils/spatial_transform_ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 5049
unit: def _gather_valid_indices()
file: research/object_detection/utils/spatial_transform_ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 3

id: 5050
unit: def matmul_crop_and_resize()
file: research/object_detection/utils/spatial_transform_ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 5051
unit: def add_single_ground_truth_image_info()
file: research/object_detection/utils/vrd_evaluation.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 5052
unit: def indices_to_dense_vector()
file: research/object_detection/utils/ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 5053
unit: def clear()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 5054
unit: def __init__()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 5055
unit: def __init__()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 5056
unit: def _get_yx_indices_offset_by_radius()
file: research/object_detection/utils/target_assigner_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 5057
unit: def _get_multiplier_for_color_randomness()
file: research/object_detection/utils/visualization_utils.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 6
number of parameters: 0

id: 5058
unit: def load_labelmap()
file: research/object_detection/utils/label_map_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 5059
unit: def create_pipeline_proto_from_configs()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 5060
unit: def _is_generic_key()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 5061
unit: def _update_tf_record_input_path()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 5062
unit: def _update_generic()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 5063
unit: def _update_momentum_optimizer_value()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 5064
unit: def _update_sample_from_datasets_weights()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 5065
unit: def _update_peak_max_pool_kernel_size()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 5066
unit: def _update_candidate_search_scale()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 5067
unit: def _update_score_distance_offset()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 5068
unit: def _update_keypoint_candidate_score_threshold()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 5069
unit: def _update_unmatched_keypoint_score()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 2

id: 5070
unit: def intersection()
file: research/object_detection/utils/np_mask_ops.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 2

id: 5071
unit: def __init__()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 5
number of parameters: 5

id: 5072
unit: def preprocess_reverse()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 5073
unit: def predicted_embeddings_at_object_centers()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 3

id: 5074
unit: def mask_from_true_image_shape()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 2

id: 5075
unit: def __new__()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 6

id: 5076
unit: def _compute_track_losses()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 5077
unit: def _get_instance_indices()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 5

id: 5078
unit: def updates()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 5079
unit: def regularization_losses()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 1

id: 5080
unit: def test_preprocess_preserves_dynamic_input_shapes()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 5081
unit: def postprocess()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 5082
unit: def _postprocess_masks()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 5083
unit: def _run_inference_on_images()
file: research/object_detection/exporter_lib_v2.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 4

id: 5084
unit: def open_sharded_output_tfrecords()
file: research/object_detection/dataset_tools/tf_record_creation_util.py
start line: 0
end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 5085
unit: def sequence_bytes_feature()
file: research/object_detection/dataset_tools/seq_example_util.py
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number of parameters: 1

id: 5086
unit: def main()
file: research/object_detection/dataset_tools/create_ava_actions_tf_record.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 1

id: 5087
unit: def embed_position_and_size()
file: research/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 5088
unit: def write_metrics()
file: research/object_detection/eval_util.py
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size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 5089
unit: def get_eval_metric_ops_for_evaluators()
file: research/object_detection/eval_util.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 5090
unit: def __init__()
file: research/object_detection/models/keras_models/nonlocal_block.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 5

id: 5091
unit: def test_preprocess_returns_correct_value_range()
file: research/object_detection/models/ssd_mobilenet_v3_feature_extractor_testbase.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 5092
unit: def test_preprocess_returns_correct_value_range()
file: research/object_detection/models/ssd_mobilenet_edgetpu_feature_extractor_testbase.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 5093
unit: def _create_bifpn_combine_op()
file: research/object_detection/models/bidirectional_feature_pyramid_generators.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 5094
unit: def _quant_var()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 5095
unit: def _get_variables_to_train()
file: research/slim/train_image_classifier.py
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end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 0

id: 5096
unit: def open_sharded_output_tfrecords()
file: research/slim/datasets/dataset_utils.py
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size: 10 LOC
McCabe index: 3
number of parameters: 3

id: 5097
unit: def __init__()
file: research/slim/datasets/build_imagenet_data.py
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size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 5098
unit: def _central_crop()
file: research/slim/preprocessing/vgg_preprocessing.py
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size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 5099
unit: def _mean_image_subtraction()
file: research/slim/preprocessing/vgg_preprocessing.py
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end line: 0
size: 10 LOC
McCabe index: 4
number of parameters: 2

id: 5100
unit: def resnet_v1_block()
file: research/slim/nets/resnet_v1.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 5101
unit: def _default_generator_blocks()
file: research/slim/nets/pix2pix.py
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size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 5102
unit: def resnet_v2_block()
file: research/slim/nets/resnet_v2.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 4

id: 5103
unit: def eval_model()
file: research/slim/nets/mobilenet_v1_eval.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 5104
unit: def depth_multiplier()
file: research/slim/nets/mobilenet/mobilenet.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 5

id: 5105
unit: def mbv3_op()
file: research/slim/nets/mobilenet/mobilenet_v3.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 7

id: 5106
unit: def mbv3_fused()
file: research/slim/nets/mobilenet/mobilenet_v3.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 5

id: 5107
unit: def drop_path()
file: research/slim/nets/nasnet/nasnet_utils.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 3

id: 5108
unit: def _conv_bn_layer()
file: research/deep_speech/deep_speech_model.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 7

id: 5109
unit: def download_and_process_datasets()
file: research/deep_speech/data/download.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 5110
unit: def define_data_download_flags()
file: research/deep_speech/data/download.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 0

id: 5111
unit: def _parse_operation()
file: research/deeplab/core/dense_prediction_cell.py
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size: 10 LOC
McCabe index: 2
number of parameters: 5

id: 5112
unit: def _panoptic_quality_helper()
file: research/deeplab/evaluation/streaming_metrics.py
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size: 10 LOC
McCabe index: 1
number of parameters: 8

id: 5113
unit: def _compute_metric()
file: research/deeplab/evaluation/eval_coco_format.py
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size: 10 LOC
McCabe index: 3
number of parameters: 4

id: 5114
unit: def main()
file: research/deeplab/convert_to_tflite.py
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end line: 0
size: 10 LOC
McCabe index: 3
number of parameters: 1

id: 5115
unit: def make_tfjs_export()
file: research/audioset/yamnet/export.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 5116
unit: def yamnet()
file: research/audioset/yamnet/yamnet.py
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end line: 0
size: 10 LOC
McCabe index: 2
number of parameters: 2

id: 5117
unit: def yamnet_frames_model()
file: research/audioset/yamnet/yamnet.py
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end line: 0
size: 10 LOC
McCabe index: 1
number of parameters: 1

id: 5118
unit: def pack_inputs()
file: official/modeling/tf_utils.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 1

id: 5119
unit: def __delattr__()
file: official/modeling/hyperparams/params_dict.py
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number of parameters: 2

id: 5120
unit: def as_dict()
file: official/modeling/hyperparams/params_dict.py
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McCabe index: 4
number of parameters: 1

id: 5121
unit: def __setattr__()
file: official/modeling/hyperparams/base_config.py
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number of parameters: 3

id: 5122
unit: def get_config()
file: official/modeling/optimization/ema_optimizer.py
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McCabe index: 1
number of parameters: 1

id: 5123
unit: def get_config()
file: official/modeling/optimization/lr_schedule.py
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size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5124
unit: def __call__()
file: official/modeling/optimization/lr_schedule.py
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size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 5125
unit: def run_experiment()
file: official/modeling/multitask/train_lib.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 5126
unit: def call()
file: official/vision/beta/modeling/layers/deeplab.py
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size: 9 LOC
McCabe index: 3
number of parameters: 3

id: 5127
unit: def build()
file: official/vision/beta/modeling/layers/nn_blocks_3d.py
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size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 5128
unit: def _get_pos_encoding()
file: official/vision/beta/modeling/layers/nn_layers.py
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size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5129
unit: def __init__()
file: official/vision/beta/modeling/layers/box_sampler.py
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size: 9 LOC
McCabe index: 1
number of parameters: 4

id: 5130
unit: def postprocess_image()
file: official/vision/beta/dataloaders/video_input.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 5

id: 5131
unit: def process_source_id()
file: official/vision/beta/dataloaders/utils.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5132
unit: def resize_and_crop_boxes()
file: official/vision/beta/ops/preprocess_ops.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 5133
unit: def __init__()
file: official/vision/beta/ops/anchor.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 5

id: 5134
unit: def transform()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 5135
unit: def contrast()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 5136
unit: def _apply_multi_bbox_augmentation_wrapper()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 6

id: 5137
unit: def distort_with_boxes()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5138
unit: def detection_policy_v0()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 5139
unit: def _cross_suppression()
file: official/vision/beta/ops/nms.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 4

id: 5140
unit: def random_flip_left_right()
file: official/vision/beta/ops/preprocess_ops_3d.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5141
unit: def kinetics400()
file: official/vision/beta/configs/video_classification.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 5142
unit: def kinetics600()
file: official/vision/beta/configs/video_classification.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 5143
unit: def kinetics700()
file: official/vision/beta/configs/video_classification.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 5144
unit: def kinetics700_2020()
file: official/vision/beta/configs/video_classification.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 5145
unit: def _process_predictions()
file: official/vision/beta/evaluation/coco_evaluator.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 5146
unit: def scan_and_generator_annotation_file()
file: official/vision/beta/evaluation/coco_utils.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 6

id: 5147
unit: def result()
file: official/vision/beta/evaluation/iou.py
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size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5148
unit: def __init__()
file: official/vision/beta/evaluation/panoptic_quality_evaluator.py
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size: 9 LOC
McCabe index: 1
number of parameters: 7

id: 5149
unit: def _remove_padding()
file: official/vision/beta/evaluation/wod_detection_evaluator.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 3

id: 5150
unit: def __init__()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/paste_masks.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 4

id: 5151
unit: def checkpoint_items()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/panoptic_maskrcnn_model.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 1

id: 5152
unit: def _layer_depth()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 1

id: 5153
unit: def call()
file: official/vision/beta/projects/centernet/modeling/layers/cn_nn_blocks.py
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size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5154
unit: def __init__()
file: official/vision/beta/projects/centernet/modeling/centernet_model.py
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size: 9 LOC
McCabe index: 1
number of parameters: 5

id: 5155
unit: def get_config()
file: official/vision/beta/projects/centernet/modeling/heads/centernet_head.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5156
unit: def change_coordinate_frame()
file: official/vision/beta/projects/centernet/ops/box_list_ops.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5157
unit: def matmul_gather_on_zeroth_axis()
file: official/vision/beta/projects/centernet/ops/box_list_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5158
unit: def get_center_coordinates_and_sizes()
file: official/vision/beta/projects/centernet/ops/box_list.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5159
unit: def as_tensor_dict()
file: official/vision/beta/projects/centernet/ops/box_list.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 5160
unit: def get_num_instances_from_weights()
file: official/vision/beta/projects/centernet/ops/loss_ops.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5161
unit: def build_metrics()
file: official/vision/beta/projects/example/example_task.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5162
unit: def fuse()
file: official/vision/beta/projects/yolo/modeling/yolo_model.py
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end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 5163
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5164
unit: def conv_bn_config_todict()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5165
unit: def _csp_tiny_stack()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 4

id: 5166
unit: def get_config()
file: official/vision/beta/projects/yolo/modeling/heads/yolo_head.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5167
unit: def _pad_infos_object()
file: official/vision/beta/projects/yolo/dataloaders/yolo_input.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5168
unit: def set_shape()
file: official/vision/beta/projects/yolo/dataloaders/yolo_input.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 5

id: 5169
unit: def get_image_shape()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5170
unit: def _get_level_limits()
file: official/vision/beta/projects/yolo/ops/anchor.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5171
unit: def yxyx_to_xcycwh()
file: official/vision/beta/projects/yolo/ops/box_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5172
unit: def xcycwh_to_yxyx()
file: official/vision/beta/projects/yolo/ops/box_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5173
unit: def __init__()
file: official/vision/beta/projects/yolo/tasks/yolo.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5174
unit: def box_loss()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 4

id: 5175
unit: def _build_per_path_attributes()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5176
unit: def train_step()
file: official/vision/beta/projects/video_ssl/tasks/linear_eval.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 6

id: 5177
unit: def checkpoint_items()
file: official/vision/beta/projects/simclr/modeling/simclr_model.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5178
unit: def get_config()
file: official/vision/beta/projects/simclr/heads/simclr_head.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5179
unit: def process_metrics()
file: official/vision/beta/tasks/semantic_segmentation.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 5

id: 5180
unit: def _build_model()
file: official/vision/beta/serving/video_classification.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5181
unit: def _preprocess_audio()
file: official/vision/beta/serving/video_classification.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5182
unit: def representative_dataset()
file: official/vision/beta/serving/export_tflite_lib.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 5183
unit: def assert_shape_equal()
file: official/vision/utils/object_detection/shape_utils.py
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end line: 0
size: 9 LOC
McCabe index: 6
number of parameters: 2

id: 5184
unit: def matched_iou()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5185
unit: def visualize_boxes_in_image()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 5186
unit: def filter_field_value_equals()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 4

id: 5187
unit: def as_tensor_dict()
file: official/vision/utils/object_detection/box_list.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 5188
unit: def keypoint_change_coordinate_frame()
file: official/vision/utils/object_detection/preprocessor.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5189
unit: def draw_bounding_boxes_on_image_array()
file: official/vision/utils/object_detection/visualization_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 5

id: 5190
unit: def draw_keypoints_on_image_array()
file: official/vision/utils/object_detection/visualization_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 5

id: 5191
unit: def write_model_params()
file: official/core/train_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5192
unit: def init_async()
file: official/core/base_trainer.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5193
unit: def aggregate_logs()
file: official/utils/testing/mock_task.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 3

id: 5194
unit: def serialize()
file: official/recommendation/data_pipeline.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5195
unit: def _run()
file: official/recommendation/data_pipeline.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5196
unit: def get_config()
file: official/recommendation/ranking/common.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5197
unit: def __init__()
file: official/recommendation/ranking/task.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 6

id: 5198
unit: def get_monitor_value()
file: official/recommendation/ncf_keras_main.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5199
unit: def very_slightly_biased_randint()
file: official/recommendation/stat_utils.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5200
unit: def call()
file: official/projects/vit/modeling/vit.py
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end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 3

id: 5201
unit: def __init__()
file: official/projects/movinet/modeling/movinet_layers.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 5202
unit: def validation_step()
file: official/projects/teams/teams_task.py
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end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 4

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unit: def __init__()
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unit: def __init__()
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id: 5205
unit: def call()
file: official/projects/basnet/modeling/basnet_model.py
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id: 5206
unit: def build_metrics()
file: official/projects/basnet/tasks/basnet.py
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id: 5207
unit: def from_dict()
file: official/projects/mobilebert/model_utils.py
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id: 5208
unit: def generate_fake_input()
file: official/projects/mobilebert/utils.py
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id: 5209
unit: def call()
file: official/projects/bigbird/encoder.py
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id: 5210
unit: def get_config()
file: official/projects/bigbird/recomputing_dropout.py
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id: 5211
unit: def labels_map_fn()
file: official/projects/triviaqa/inputs.py
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id: 5212
unit: def make_answer_set()
file: official/projects/triviaqa/preprocess.py
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id: 5213
unit: def get_config()
file: official/projects/assemblenet/modeling/assemblenet.py
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id: 5214
unit: def get_config()
file: official/projects/detr/modeling/detr.py
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id: 5215
unit: def _decoding_step_time_signal()
file: official/projects/nhnet/decoder.py
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id: 5216
unit: def embedding_linear()
file: official/projects/nhnet/models.py
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id: 5217
unit: def __init__()
file: official/projects/nhnet/models.py
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id: 5218
unit: def _get_logits_for_decode_ids()
file: official/projects/nhnet/models.py
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id: 5219
unit: def call()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
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id: 5220
unit: def load_checkpoint()
file: official/projects/edgetpu/nlp/utils/utils.py
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id: 5221
unit: def process_source_id()
file: official/legacy/detection/dataloader/retinanet_parser.py
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id: 5222
unit: def __init__()
file: official/legacy/detection/dataloader/anchor.py
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id: 5223
unit: def label_anchors()
file: official/legacy/detection/dataloader/anchor.py
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id: 5224
unit: def _decode_areas()
file: official/legacy/detection/dataloader/tf_example_decoder.py
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id: 5225
unit: def _shared_rpn_heads()
file: official/legacy/detection/modeling/architecture/heads.py
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id: 5226
unit: def class_net()
file: official/legacy/detection/modeling/architecture/heads.py
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id: 5227
unit: def box_net()
file: official/legacy/detection/modeling/architecture/heads.py
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id: 5228
unit: def __init__()
file: official/legacy/detection/modeling/architecture/heads.py
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id: 5229
unit: def coarsemask_head_generator()
file: official/legacy/detection/modeling/architecture/factory.py
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id: 5230
unit: def finemask_head_generator()
file: official/legacy/detection/modeling/architecture/factory.py
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id: 5231
unit: def make_restore_checkpoint_fn()
file: official/legacy/detection/modeling/base_model.py
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id: 5232
unit: def build_model()
file: official/legacy/detection/modeling/retinanet_model.py
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id: 5233
unit: def __init__()
file: official/legacy/detection/executor/distributed_executor.py
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id: 5234
unit: def _cross_suppression()
file: official/legacy/detection/ops/nms.py
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id: 5235
unit: def _process_predictions()
file: official/legacy/detection/evaluation/coco_evaluator.py
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id: 5236
unit: def process_source_id()
file: official/legacy/detection/utils/dataloader_utils.py
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id: 5237
unit: def __init__()
file: official/legacy/transformer/transformer.py
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id: 5238
unit: def build()
file: official/legacy/transformer/ffn_layer.py
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id: 5239
unit: def __init__()
file: official/legacy/transformer/attention_layer.py
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id: 5240
unit: def __call__()
file: official/legacy/transformer/optimizer.py
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id: 5241
unit: def build()
file: official/legacy/transformer/embedding_layer.py
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id: 5242
unit: def _parse_example()
file: official/legacy/transformer/data_pipeline.py
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id: 5243
unit: def _filter_and_bucket_subtokens()
file: official/legacy/transformer/utils/tokenizer.py
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id: 5244
unit: def resize_image()
file: official/legacy/image_classification/preprocessing.py
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id: 5245
unit: def get_config()
file: official/legacy/image_classification/resnet/common.py
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id: 5246
unit: def eval_step()
file: official/legacy/image_classification/resnet/resnet_runnable.py
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id: 5247
unit: def _central_crop()
file: official/legacy/image_classification/resnet/imagenet_preprocessing.py
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id: 5248
unit: def run()
file: official/legacy/image_classification/classifier_trainer.py
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id: 5249
unit: def transform()
file: official/legacy/image_classification/augment.py
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id: 5250
unit: def contrast()
file: official/legacy/image_classification/augment.py
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id: 5251
unit: def build()
file: official/nlp/modeling/layers/position_embedding.py
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id: 5252
unit: def call()
file: official/nlp/modeling/layers/position_embedding.py
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id: 5253
unit: def _rel_shift()
file: official/nlp/modeling/layers/relative_attention.py
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id: 5254
unit: def call()
file: official/nlp/modeling/layers/spectral_normalization.py
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id: 5255
unit: def create_band_mask_from_inputs()
file: official/nlp/modeling/layers/bigbird_attention.py
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size: 9 LOC
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id: 5256
unit: def get_config()
file: official/nlp/modeling/layers/bigbird_attention.py
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id: 5257
unit: def call()
file: official/nlp/modeling/networks/xlnet_base.py
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id: 5258
unit: def from_config()
file: official/nlp/modeling/networks/encoder_scaffold.py
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id: 5259
unit: def _make_config_dict()
file: official/nlp/modeling/models/bert_classifier.py
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id: 5260
unit: def __init__()
file: official/nlp/data/wmt_dataloader.py
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id: 5261
unit: def _create_examples()
file: official/nlp/data/sentence_retrieval_lib.py
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id: 5262
unit: def __init__()
file: official/nlp/data/tagging_data_lib.py
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id: 5263
unit: def _truncate_seq_pair()
file: official/nlp/data/classifier_data_lib.py
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id: 5264
unit: def _improve_answer_span()
file: official/nlp/data/squad_lib.py
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id: 5265
unit: def __init__()
file: official/nlp/data/sentence_prediction_dataloader.py
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id: 5266
unit: def name_to_features_spec()
file: official/nlp/data/sentence_prediction_dataloader.py
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id: 5267
unit: def _decode()
file: official/nlp/data/pretrain_dataloader.py
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id: 5268
unit: def _get_lr()
file: official/nlp/optimization.py
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id: 5269
unit: def _get_initializer()
file: official/nlp/xlnet/xlnet_modeling.py
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id: 5270
unit: def __init__()
file: official/nlp/xlnet/xlnet_modeling.py
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id: 5271
unit: def build()
file: official/nlp/xlnet/xlnet_modeling.py
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id: 5272
unit: def _read_tsv()
file: official/nlp/xlnet/preprocess_classification_data.py
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id: 5273
unit: def _truncate_seq_pair()
file: official/nlp/xlnet/classifier_utils.py
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id: 5274
unit: def to_json()
file: official/nlp/xlnet/xlnet_config.py
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id: 5275
unit: def _create_bert_pretrainer_model()
file: official/nlp/tools/tf2_bert_encoder_checkpoint_converter.py
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id: 5276
unit: def _run_strip_accents()
file: official/nlp/tools/tokenization.py
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id: 5277
unit: def _is_punctuation()
file: official/nlp/tools/tokenization.py
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id: 5278
unit: def _create_pretrainer_model()
file: official/nlp/tools/tf2_albert_encoder_checkpoint_converter.py
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id: 5279
unit: def main()
file: official/nlp/tools/tf2_albert_encoder_checkpoint_converter.py
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id: 5280
unit: def validation_step()
file: official/nlp/tasks/masked_lm.py
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id: 5281
unit: def validation_step()
file: official/nlp/tasks/electra_task.py
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id: 5282
unit: def process_compiled_metrics()
file: official/nlp/tasks/question_answering.py
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id: 5283
unit: def __init__()
file: official/nlp/tasks/sentence_prediction.py
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id: 5284
unit: def build_losses()
file: official/nlp/tasks/tagging.py
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id: 5285
unit: def serve()
file: official/nlp/serving/serving_modules.py
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id: 5286
unit: def test()
file: orbit/actions/new_best_metric.py
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id: 5287
unit: def __init__()
file: orbit/actions/export_saved_model.py
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id: 5288
unit: def _maybe_save_checkpoint()
file: orbit/controller.py
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id: 5289
unit: def __init__()
file: orbit/utils/summary_manager.py
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id: 5290
unit: def summary_writer()
file: orbit/utils/summary_manager.py
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id: 5291
unit: def epoch_end()
file: orbit/utils/epoch_helper.py
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id: 5292
unit: def random_transform()
file: research/vid2depth/ops/icp_train_demo.py
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id: 5293
unit: def _icp_grad()
file: research/vid2depth/ops/icp_grad.py
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id: 5294
unit: def _cam2pixel()
file: research/vid2depth/project.py
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id: 5295
unit: def _spatial_transformer()
file: research/vid2depth/project.py
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id: 5296
unit: def load_pose_raw()
file: research/vid2depth/dataset/dataset_loader.py
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id: 5297
unit: def __init__()
file: research/vid2depth/dataset/dataset_loader.py
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id: 5298
unit: def collect_test_frames()
file: research/vid2depth/dataset/dataset_loader.py
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id: 5299
unit: def collect_train_frames()
file: research/vid2depth/dataset/dataset_loader.py
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id: 5300
unit: def main()
file: research/efficient-hrl/run_train.py
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id: 5301
unit: def summarize_stats()
file: research/efficient-hrl/context/rewards_functions.py
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id: 5302
unit: def __init__()
file: research/efficient-hrl/environments/ant.py
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id: 5303
unit: def _find_all_robots()
file: research/efficient-hrl/environments/maze_env.py
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id: 5304
unit: def ray_segment_intersect()
file: research/efficient-hrl/environments/maze_env_utils.py
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id: 5305
unit: def get_goal_sample_fn()
file: research/efficient-hrl/run_env.py
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id: 5306
unit: def get_reward_fn()
file: research/efficient-hrl/run_env.py
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id: 5307
unit: def init_action_vars()
file: research/efficient-hrl/agent.py
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id: 5308
unit: def _create_variables()
file: research/efficient-hrl/agents/circular_buffer.py
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id: 5309
unit: def target_value_net()
file: research/efficient-hrl/agents/ddpg_agent.py
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id: 5310
unit: def zero_pad_and_crop()
file: research/autoaugment/augmentation_transforms.py
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McCabe index: 1
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id: 5311
unit: def __init__()
file: research/autoaugment/train_cifar.py
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McCabe index: 2
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id: 5312
unit: def reset()
file: research/autoaugment/data_utils.py
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McCabe index: 1
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id: 5313
unit: def call()
file: research/seq_flow_lite/layers/normalization_layers.py
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id: 5314
unit: def build()
file: research/seq_flow_lite/layers/dense_layers.py
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McCabe index: 4
number of parameters: 2

id: 5315
unit: def _dense_r2()
file: research/seq_flow_lite/layers/dense_layers.py
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McCabe index: 4
number of parameters: 3

id: 5316
unit: def op_histogram()
file: research/seq_flow_lite/utils/tflite_utils.py
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McCabe index: 3
number of parameters: 1

id: 5317
unit: inline size_t FindNextSpace()
file: research/seq_flow_lite/tf_ops/projection_util.cc
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McCabe index: 4
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id: 5318
unit: explicit SgnnProjectionAttributes()
file: research/seq_flow_lite/models/sgnn/sgnn_projection.cc
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McCabe index: 2
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id: 5319
unit: def update()
file: research/cvt_text/task_specific/word_level/word_level_scorer.py
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id: 5320
unit: def get_task()
file: research/cvt_text/task_specific/task_definitions.py
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McCabe index: 4
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id: 5321
unit: def __init__()
file: research/cvt_text/model/shared_inputs.py
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McCabe index: 1
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id: 5322
unit: def DatumToArray()
file: research/delf/delf/python/datum_io.py
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McCabe index: 3
number of parameters: 1

id: 5323
unit: def _ParseSpaceSeparatedStringsInBrackets()
file: research/delf/delf/python/datasets/revisited_op/dataset.py
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McCabe index: 4
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id: 5324
unit: def _ParsePrScores()
file: research/delf/delf/python/datasets/revisited_op/dataset.py
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McCabe index: 4
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id: 5325
unit: def main()
file: research/delf/delf/python/training/build_image_dataset.py
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end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5326
unit: def __init__()
file: research/delf/delf/python/training/model/export_local_model.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 3

id: 5327
unit: def init_classifiers()
file: research/delf/delf/python/training/model/delf_model.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5328
unit: def build_call()
file: research/delf/delf/python/training/model/delf_model.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5329
unit: def exp_moving_average()
file: research/rebar/utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 5330
unit: def softplus()
file: research/rebar/utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5331
unit: def partial_fit()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5332
unit: def _create_network()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 5333
unit: def _create_network()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5334
unit: std::unique_ptr MobileLSTDTfLiteClient::Create()
file: research/lstm_object_detection/tflite/mobile_lstd_tflite_client.cc
start line: 50
end line: 58
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5335
unit: void DecreasingPartialArgSort()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
start line: 44
end line: 52
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 5336
unit: void ClampBoxCoordinates()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
start line: 378
end line: 386
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5337
unit: def action()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5338
unit: def preprocess_image()
file: research/cognitive_planning/preprocessing/vgg_preprocessing.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 6

id: 5339
unit: def draw_bounding_boxes_on_image_array()
file: research/cognitive_planning/visualization_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 5

id: 5340
unit: def draw_keypoints_on_image_array()
file: research/cognitive_planning/visualization_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 5

id: 5341
unit: def get_label_map_dict()
file: research/cognitive_planning/label_map_util.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5342
unit: def build()
file: research/cognitive_planning/embedders.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5343
unit: def setup()
file: research/pcl_rl/optimizers.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 7

id: 5344
unit: def get_cell()
file: research/pcl_rl/policy.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5345
unit: def discounted_future_sum()
file: research/pcl_rl/objective.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5346
unit: def get_policy()
file: research/pcl_rl/trainer.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5347
unit: def convert_env_actions_to_actions()
file: research/pcl_rl/env_spec.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5348
unit: def get_train_n_valid_inds()
file: research/lfads/synth_data/synthetic_data_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 3

id: 5349
unit: def get_data_batch()
file: research/lfads/synth_data/generate_itb_data.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 4

id: 5350
unit: def __init__()
file: research/lfads/distributions.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 5

id: 5351
unit: def example_idxs_mod_batch_size()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 5352
unit: def main()
file: research/object_detection/exporter_main_v2.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5353
unit: def __init__()
file: research/object_detection/box_coders/square_box_coder.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 2

id: 5354
unit: def _multiclass_scores_or_one_hot_labels()
file: research/object_detection/inputs.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 4

id: 5355
unit: def _replace_empty_string_with_random_number()
file: research/object_detection/inputs.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5356
unit: def parse()
file: research/object_detection/metrics/tf_example_parser.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 5357
unit: def _load_labelmap()
file: research/object_detection/metrics/oid_vrd_challenge_evaluation.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5358
unit: def temporal_offset_proto_to_params()
file: research/object_detection/builders/model_builder.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5359
unit: def _find_interval_containing_new_value()
file: research/object_detection/builders/calibration_builder.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5360
unit: def _get_class_id_function_dict()
file: research/object_detection/builders/calibration_builder.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5361
unit: def build()
file: research/object_detection/builders/target_assigner_builder.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5362
unit: def _build_slim_regularizer()
file: research/object_detection/builders/hyperparams_builder.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 5363
unit: def _build_batch_norm_params()
file: research/object_detection/builders/hyperparams_builder.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5364
unit: def gather_based_on_match()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 4

id: 5365
unit: def matched_iou()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5366
unit: def prune_non_overlapping_boxes()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 4

id: 5367
unit: def change_coordinate_frame()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5368
unit: def filter_field_value_equals()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 4

id: 5369
unit: def pad_or_clip_box_list()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5370
unit: def get_center_coordinates_and_sizes()
file: research/object_detection/core/box_list.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5371
unit: def as_tensor_dict()
file: research/object_detection/core/box_list.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 5372
unit: def subsample_indicator()
file: research/object_detection/core/minibatch_sampler.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5373
unit: def flip_horizontal()
file: research/object_detection/core/densepose_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5374
unit: def _rot90_boxes()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5375
unit: def _compute_loss()
file: research/object_detection/core/losses.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 4

id: 5376
unit: def _compute_loss()
file: research/object_detection/core/losses.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 4

id: 5377
unit: def clip_to_window()
file: research/object_detection/core/keypoint_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5378
unit: def keypoint_weights_from_visibilities()
file: research/object_detection/core/keypoint_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 5379
unit: def pad_tensor()
file: research/object_detection/utils/shape_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 2

id: 5380
unit: def policy_v0()
file: research/object_detection/utils/autoaugment_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 5381
unit: def __init__()
file: research/object_detection/utils/vrd_evaluation.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5382
unit: def __init__()
file: research/object_detection/utils/vrd_evaluation.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5383
unit: def change_coordinate_frame()
file: research/object_detection/utils/np_box_list_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5384
unit: def dense_to_sparse_boxes()
file: research/object_detection/utils/ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5385
unit: def reframe_image_corners_relative_to_boxes()
file: research/object_detection/utils/ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5386
unit: def matmul_gather_on_zeroth_axis()
file: research/object_detection/utils/ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5387
unit: def draw_bounding_boxes_on_image_array()
file: research/object_detection/utils/visualization_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 5

id: 5388
unit: def save_pipeline_config()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 5389
unit: def _update_box_scale()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5390
unit: def multiply_gradients_matching_regex()
file: research/object_detection/utils/variables_helper.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 3

id: 5391
unit: def iou()
file: research/object_detection/utils/np_mask_ops.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5392
unit: def preprocess()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 5393
unit: def _extract_proposal_features()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5394
unit: def __init__()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 5

id: 5395
unit: def _proposal_postprocess()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 6

id: 5396
unit: def _padded_batched_proposals_indicator()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5397
unit: def updates()
file: research/object_detection/meta_architectures/rfcn_meta_arch.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 1

id: 5398
unit: def _get_loss_weight()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 5399
unit: def _get_groundtruth_mask_output()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5400
unit: def continuous_eval()
file: research/object_detection/model_lib.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 6

id: 5401
unit: def _combine_side_inputs()
file: research/object_detection/exporter_lib_v2.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5402
unit: def _get_side_input_signature()
file: research/object_detection/exporter_lib_v2.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 5403
unit: def __init__()
file: research/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 5

id: 5404
unit: def _resize_surface_coordinate_masks()
file: research/object_detection/eval_util.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5405
unit: def Input()
file: research/object_detection/models/keras_models/resnet_v1.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5406
unit: def _fixed_padding()
file: research/object_detection/models/keras_models/mobilenet_v1.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5407
unit: def Input()
file: research/object_detection/models/keras_models/mobilenet_v1.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5408
unit: def _layer_depth()
file: research/object_detection/models/keras_models/hourglass_network.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 1

id: 5409
unit: def Input()
file: research/object_detection/models/keras_models/mobilenet_v2.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5410
unit: def _squeeze_and_excite()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5411
unit: def _extract_features()
file: research/object_detection/models/ssd_mobilenet_v1_keras_feature_extractor.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5412
unit: def test_extract_features_raises_error_with_invalid_image_size()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5413
unit: def _extract_features()
file: research/object_detection/models/ssd_mobilenet_v2_keras_feature_extractor.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5414
unit: def apply()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 5
number of parameters: 3

id: 5415
unit: def lookup_spaghetti_arch()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 1

id: 5416
unit: def _extract_images()
file: research/slim/datasets/download_and_convert_mnist.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5417
unit: def _fixed_padding()
file: research/slim/nets/mobilenet/conv_blocks.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5418
unit: def mobilenet_base_group_norm()
file: research/slim/nets/mobilenet/mobilenet_v2.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5419
unit: def get_channel_dim()
file: research/slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5420
unit: def _cell_base()
file: research/slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 3

id: 5421
unit: def _cifar_stem()
file: research/slim/nets/nasnet/nasnet.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 2

id: 5422
unit: def _validate_image_inputs()
file: research/slim/nets/dcgan.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 1

id: 5423
unit: def __init__()
file: research/deep_speech/data/dataset.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 5

id: 5424
unit: def _preprocess_audio()
file: research/deep_speech/data/dataset.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 3

id: 5425
unit: def dense_prediction_cell_hparams()
file: research/deeplab/core/dense_prediction_cell.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 0

id: 5426
unit: def _image_dimensions()
file: research/deeplab/core/preprocess_utils.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 4
number of parameters: 2

id: 5427
unit: def config()
file: research/deeplab/core/nas_network.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 3

id: 5428
unit: def __init__()
file: research/deeplab/evaluation/parsing_covering.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 6

id: 5429
unit: def _matched_annotations()
file: research/deeplab/evaluation/eval_coco_format.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5430
unit: def label_to_color_image()
file: research/deeplab/utils/get_dataset_colormap.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 3
number of parameters: 2

id: 5431
unit: def __init__()
file: research/audioset/vggish/vggish_postprocess.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 2
number of parameters: 2

id: 5432
unit: def main()
file: research/audioset/yamnet/export.py
start line: 0
end line: 0
size: 9 LOC
McCabe index: 1
number of parameters: 1

id: 5433
unit: def __init__()
file: official/modeling/hyperparams/params_dict.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5434
unit: def _use_weight_decay()
file: official/modeling/optimization/lars_optimizer.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 2

id: 5435
unit: def __init__()
file: official/modeling/optimization/lr_schedule.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5436
unit: def get_config()
file: official/modeling/optimization/lr_schedule.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5437
unit: def build_learning_rate()
file: official/modeling/optimization/optimizer_factory.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5438
unit: def training_losses()
file: official/modeling/multitask/base_trainer.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 5439
unit: def __init__()
file: official/modeling/multitask/task_sampler.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 6

id: 5440
unit: def compute_stage_id()
file: official/modeling/fast_training/progressive/policies.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5441
unit: def model_to_model_2x_wide()
file: official/modeling/fast_training/experimental/tf2_utils_2x_wide.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5442
unit: def build_model()
file: official/vision/beta/modeling/factory_3d.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 5443
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5444
unit: def call()
file: official/vision/beta/modeling/layers/nn_blocks_3d.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5445
unit: def get_padding_for_kernel_size()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5446
unit: def get_stochastic_depth_rate()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 3

id: 5447
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5448
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5449
unit: def checkpoint_items()
file: official/vision/beta/modeling/segmentation_model.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5450
unit: def decode()
file: official/vision/beta/dataloaders/tfds_classification_decoders.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5451
unit: def __init__()
file: official/vision/beta/dataloaders/segmentation_input.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5452
unit: def _parse_train_data()
file: official/vision/beta/dataloaders/classification_input.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5453
unit: def _parse_eval_data()
file: official/vision/beta/dataloaders/classification_input.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5454
unit: def translate_y_only_bboxes()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 5455
unit: def distort()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5456
unit: def __call__()
file: official/vision/beta/ops/target_gather.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 5

id: 5457
unit: def normalize_image()
file: official/vision/beta/ops/preprocess_ops_3d.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5458
unit: def image_classification()
file: official/vision/beta/configs/image_classification.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 5459
unit: def semantic_segmentation()
file: official/vision/beta/configs/semantic_segmentation.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 5460
unit: def _valid_coordinates()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/paste_masks.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5461
unit: def _get_padding_for_kernel_size()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5462
unit: def hourglass_104()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 5463
unit: def hourglass_20_uniform_size()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5464
unit: def hourglass_20_no_shortcut()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5465
unit: def __init__()
file: official/vision/beta/projects/centernet/modeling/layers/cn_nn_blocks.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 5466
unit: def _get_crop_border()
file: official/vision/beta/projects/centernet/ops/preprocess_ops.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5467
unit: def multi_range()
file: official/vision/beta/projects/centernet/ops/loss_ops.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5468
unit: def get_row_col_channel_indices_from_flattened_indices()
file: official/vision/beta/projects/centernet/ops/loss_ops.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5469
unit: def _save_checkpoint()
file: official/vision/beta/projects/centernet/utils/tf2_centernet_checkpoint_converter.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5470
unit: def main()
file: official/vision/beta/projects/centernet/utils/tf2_centernet_checkpoint_converter.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5471
unit: def write_dict_as_tree()
file: official/vision/beta/projects/centernet/utils/checkpoints/read_checkpoints.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 3

id: 5472
unit: def __post_init__()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_classes.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5473
unit: def get_weights()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_classes.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5474
unit: def __call__()
file: official/vision/beta/projects/centernet/losses/centernet_losses.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5475
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 3

id: 5476
unit: def _get_base_layers()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5477
unit: def _insert_sam()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5478
unit: def box_iou()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 3

id: 5479
unit: def average_iou()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5480
unit: def darknet_classification()
file: official/vision/beta/projects/yolo/configs/darknet_classification.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 5481
unit: def post_path_aggregation()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 7

id: 5482
unit: def _build_per_path_attributes()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5483
unit: def call()
file: official/vision/beta/projects/simclr/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5484
unit: def simclr_pretraining()
file: official/vision/beta/projects/simclr/configs/simclr.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 5485
unit: def simclr_finetuning()
file: official/vision/beta/projects/simclr/configs/simclr.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 5486
unit: def build()
file: official/vision/beta/projects/simclr/heads/simclr_head.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5487
unit: def zero_out_disallowed_class_ids()
file: official/vision/beta/tasks/maskrcnn.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5488
unit: def aggregate_logs()
file: official/vision/beta/tasks/semantic_segmentation.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5489
unit: def reduce_aggregated_logs()
file: official/vision/beta/tasks/semantic_segmentation.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5490
unit: def _rpn_box_loss()
file: official/vision/beta/losses/maskrcnn_losses.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5491
unit: def get_config()
file: official/vision/beta/losses/retinanet_losses.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5492
unit: def __init__()
file: official/vision/beta/losses/retinanet_losses.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5493
unit: def __init__()
file: official/vision/beta/losses/focal_loss.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 5494
unit: def keypoint_scale()
file: official/vision/utils/object_detection/preprocessor.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5495
unit: def cast_leaf_nested_dict()
file: official/core/train_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 4

id: 5496
unit: def serialize_config()
file: official/core/train_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5497
unit: def write_summary()
file: official/core/train_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5498
unit: def remove_ckpts()
file: official/core/train_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5499
unit: def build_losses()
file: official/core/base_task.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5500
unit: def create_train_loop_fn()
file: official/core/base_trainer.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5501
unit: def _get_nondefault_flags_as_dict()
file: official/utils/flags/core.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 0

id: 5502
unit: def on_batch_begin()
file: official/utils/misc/keras_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 3

id: 5503
unit: def start_construction()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5504
unit: def run()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5505
unit: def _wait_to_construct_train_epoch()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 1

id: 5506
unit: def build_inputs()
file: official/recommendation/ranking/task.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5507
unit: def train_step()
file: official/recommendation/ranking/task.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 6

id: 5508
unit: def peek_map_at_n()
file: official/projects/yt8m/eval_utils/mean_average_precision_calculator.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 5509
unit: def basnet()
file: official/projects/basnet/configs/basnet.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 5510
unit: def _iou_loss()
file: official/projects/basnet/losses/basnet_losses.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5511
unit: def _get_attention_loss()
file: official/projects/mobilebert/distillation.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5512
unit: def validation_step()
file: official/projects/mobilebert/distillation.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5513
unit: def _get_noise_shape()
file: official/projects/bigbird/recomputing_dropout.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 6
number of parameters: 2

id: 5514
unit: def validate()
file: official/projects/triviaqa/dataset.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 5515
unit: def __init__()
file: official/projects/triviaqa/inputs.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5516
unit: def _compute_cover()
file: official/projects/detr/ops/matchers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5517
unit: def build_model()
file: official/projects/detr/tasks/detection.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5518
unit: def aggregate_logs()
file: official/projects/detr/tasks/detection.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5519
unit: def __call__()
file: official/projects/nhnet/optimizer.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5520
unit: def create_optimizer()
file: official/projects/nhnet/optimizer.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5521
unit: def _add_sos_to_seq()
file: official/projects/nhnet/models.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5522
unit: def decode_record()
file: official/projects/nhnet/input_pipeline.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5523
unit: def decode_sparse_record()
file: official/projects/nhnet/input_pipeline.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5524
unit: def call()
file: official/projects/volumetric_models/modeling/nn_blocks_3d.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5525
unit: def _build_model()
file: official/projects/volumetric_models/serving/semantic_segmentation_3d.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5526
unit: def call()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5527
unit: def __init__()
file: official/projects/edgetpu/vision/modeling/custom_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 5528
unit: def _get_attention_loss()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5529
unit: def shapeprior_head_generator()
file: official/legacy/detection/modeling/architecture/factory.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5530
unit: def _make_filter_trainable_variables_fn()
file: official/legacy/detection/modeling/base_model.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 5531
unit: def weight_decay_loss()
file: official/legacy/detection/modeling/base_model.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 2

id: 5532
unit: def _rpn_box_loss()
file: official/legacy/detection/modeling/losses.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5533
unit: def __call__()
file: official/legacy/detection/modeling/losses.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 4

id: 5534
unit: def box_loss()
file: official/legacy/detection/modeling/losses.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5535
unit: def __call__()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 5

id: 5536
unit: def __init__()
file: official/legacy/detection/ops/target_ops.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5537
unit: def __init__()
file: official/legacy/detection/evaluation/coco_evaluator.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 6

id: 5538
unit: def __init__()
file: official/legacy/detection/evaluation/coco_evaluator.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5539
unit: def __call__()
file: official/legacy/detection/evaluation/coco_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5540
unit: def get_decoder_self_attention_bias()
file: official/legacy/transformer/model_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5541
unit: def call()
file: official/legacy/transformer/attention_layer.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 6

id: 5542
unit: def _pad_tensors_to_same_length()
file: official/legacy/transformer/utils/metrics.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5543
unit: def rouge_l_sentence_level()
file: official/legacy/transformer/utils/metrics.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5544
unit: def _f_lcs()
file: official/legacy/transformer/utils/metrics.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5545
unit: def _join_tokens_to_string()
file: official/legacy/transformer/utils/tokenizer.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 6
number of parameters: 2

id: 5546
unit: def _pad_tensors_to_same_length()
file: official/legacy/transformer/metrics.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5547
unit: def _create_callbacks()
file: official/legacy/transformer/transformer_main.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5548
unit: def find_file()
file: official/legacy/transformer/data_download.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 3

id: 5549
unit: def get_loss_fn()
file: official/legacy/bert/run_squad_helper.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 5550
unit: def export_squad()
file: official/legacy/bert/run_squad_helper.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 3

id: 5551
unit: def decode_record()
file: official/legacy/bert/input_pipeline.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5552
unit: def __init__()
file: official/legacy/image_classification/learning_rate.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5553
unit: def count_params()
file: official/legacy/image_classification/efficientnet/common_modules.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5554
unit: def load_weights()
file: official/legacy/image_classification/efficientnet/common_modules.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5555
unit: def __init__()
file: official/legacy/image_classification/dataset_factory.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5556
unit: def train_loop_end()
file: official/legacy/image_classification/resnet/resnet_runnable.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5557
unit: def get_parse_record_fn()
file: official/legacy/image_classification/resnet/imagenet_preprocessing.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5558
unit: def _smallest_size_at_least()
file: official/legacy/image_classification/resnet/imagenet_preprocessing.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5559
unit: def get_dtype_map()
file: official/legacy/image_classification/classifier_trainer.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 5560
unit: def select_and_apply_random_policy()
file: official/legacy/image_classification/augment.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 5561
unit: def _parse_policy_info()
file: official/legacy/image_classification/augment.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 6

id: 5562
unit: def __init__()
file: official/legacy/image_classification/callbacks.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 5563
unit: def on_batch_begin()
file: official/legacy/image_classification/callbacks.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5564
unit: def on_epoch_end()
file: official/legacy/image_classification/callbacks.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5565
unit: def get_config()
file: official/nlp/modeling/layers/cls_head.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5566
unit: def get_config()
file: official/nlp/modeling/layers/position_embedding.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5567
unit: def get_config()
file: official/nlp/modeling/layers/position_embedding.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5568
unit: def get_config()
file: official/nlp/modeling/layers/text_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5569
unit: def _tokenize_with_offsets()
file: official/nlp/modeling/layers/text_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5570
unit: def build()
file: official/nlp/modeling/layers/mobile_bert_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5571
unit: def _compute_relative_position()
file: official/nlp/modeling/layers/reuse_attention.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5572
unit: def _continue_search()
file: official/nlp/modeling/ops/sampling_module.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5573
unit: def _random_int_up_to()
file: official/nlp/modeling/ops/segment_extractor.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5574
unit: def end_logits()
file: official/nlp/modeling/networks/span_labeling.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5575
unit: def _combine_masks()
file: official/nlp/modeling/networks/xlnet_base.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5576
unit: def get_config()
file: official/nlp/modeling/networks/packed_sequence_embedding.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5577
unit: def make_attention_mask()
file: official/nlp/modeling/models/t5.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5578
unit: def __init__()
file: official/nlp/modeling/models/t5.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5579
unit: def get_updated_inputs()
file: official/nlp/modeling/models/electra_pretrainer.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5580
unit: def call()
file: official/nlp/modeling/models/xlnet.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5581
unit: def __init__()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5582
unit: def _preprocess_line()
file: official/nlp/data/create_xlnet_pretraining_data.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 2

id: 5583
unit: def _decode()
file: official/nlp/data/sentence_prediction_dataloader.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5584
unit: def _decode()
file: official/nlp/data/sentence_prediction_dataloader.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5585
unit: def get_config()
file: official/nlp/optimization.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5586
unit: def _decay_weights_op()
file: official/nlp/optimization.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5587
unit: def __init__()
file: official/nlp/xlnet/xlnet_modeling.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 7

id: 5588
unit: def __init__()
file: official/nlp/xlnet/xlnet_modeling.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 7

id: 5589
unit: def get_config()
file: official/nlp/xlnet/optimization.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5590
unit: def get_qaxlnet_model()
file: official/nlp/xlnet/run_squad.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5591
unit: def _maybe_disable_assert()
file: official/nlp/tools/export_tfhub_lib.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5592
unit: def process_compiled_metrics()
file: official/nlp/tasks/question_answering.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5593
unit: def process_metrics()
file: official/nlp/tasks/question_answering.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5594
unit: def process_metrics()
file: official/nlp/tasks/sentence_prediction.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 4

id: 5595
unit: def features_to_int32()
file: official/nlp/serving/serving_modules.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5596
unit: def serve_probability()
file: official/nlp/serving/serving_modules.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5597
unit: def __init__()
file: official/nlp/serving/serving_modules.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5598
unit: def __init__()
file: official/nlp/serving/serving_modules.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5599
unit: def __init__()
file: official/nlp/serving/serving_modules.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5600
unit: def _write_summaries()
file: orbit/utils/summary_manager.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5601
unit: def epoch_begin()
file: orbit/utils/epoch_helper.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5602
unit: def train()
file: orbit/standard_runner.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5603
unit: def __init__()
file: research/vid2depth/reader.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 7

id: 5604
unit: def __call__()
file: research/efficient-hrl/context/samplers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5605
unit: def sample_contexts()
file: research/efficient-hrl/context/context.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 6

id: 5606
unit: def _validate_contexts()
file: research/efficient-hrl/context/context.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 5607
unit: def reset_model()
file: research/efficient-hrl/environments/ant.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5608
unit: def reset()
file: research/efficient-hrl/environments/maze_env.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5609
unit: def _find_robot()
file: research/efficient-hrl/environments/maze_env.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 5610
unit: def _get_obs()
file: research/efficient-hrl/environments/point.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5611
unit: def reset_model()
file: research/efficient-hrl/environments/point.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5612
unit: def merged_states()
file: research/efficient-hrl/agent.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5613
unit: def begin_episode_ops()
file: research/efficient-hrl/agent.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5614
unit: def critic_net()
file: research/efficient-hrl/agents/ddpg_agent.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5615
unit: def apply_policy()
file: research/autoaugment/augmentation_transforms.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5616
unit: def build()
file: research/autoaugment/train_cifar.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5617
unit: def _setup_images_and_labels()
file: research/autoaugment/train_cifar.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5618
unit: def extract_model_spec()
file: research/autoaugment/train_cifar.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5619
unit: def _compute_final_accuracies()
file: research/autoaugment/train_cifar.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5620
unit: def variable()
file: research/autoaugment/custom_ops.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 5621
unit: def _shake_shake_layer()
file: research/autoaugment/shake_shake.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 5

id: 5622
unit: inline int GetNumberOfFeatures()
file: research/seq_flow_lite/tflite_ops/layer_norm.cc
start line: 69
end line: 76
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5623
unit: inline uint8_t PodQuantize()
file: research/seq_flow_lite/tflite_ops/quantization_util.h
start line: 40
end line: 49
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5624
unit: def quantize_parameter()
file: research/seq_flow_lite/layers/base_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5625
unit: def add_bias()
file: research/seq_flow_lite/layers/base_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5626
unit: def _qrnn_zoneout()
file: research/seq_flow_lite/layers/qrnn_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 6
number of parameters: 3

id: 5627
unit: def _unpack()
file: research/seq_flow_lite/layers/conv_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 2

id: 5628
unit: def _add_attention_pool_layer()
file: research/seq_flow_lite/models/prado.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5629
unit: def update_feed_dict()
file: research/cvt_text/task_specific/word_level/depparse_module.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 3

id: 5630
unit: def masked_ce_loss()
file: research/cvt_text/model/model_helpers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 5

id: 5631
unit: def __init__()
file: research/cvt_text/model/encoder.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5632
unit: def _create_feed_dict()
file: research/cvt_text/model/multitask_model.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 4

id: 5633
unit: def evaluate_all_tasks()
file: research/cvt_text/training/trainer.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 5

id: 5634
unit: def predictions()
file: research/adversarial_text/layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5635
unit: def add_timestep()
file: research/adversarial_text/data/data_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5636
unit: def make_vocab_ids()
file: research/adversarial_text/gen_data.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 5637
unit: def fill_vocab_from_doc()
file: research/adversarial_text/gen_vocab.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 3

id: 5638
unit: def adversarial_loss()
file: research/adversarial_text/adversarial_losses.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5639
unit: def SaveMetricsFile()
file: research/delf/delf/python/datasets/revisited_op/dataset.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 5640
unit: def _CheckAsmkDimensionality()
file: research/delf/delf/python/feature_aggregation_similarity.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5641
unit: def CalculateReceptiveBoxes()
file: research/delf/delf/python/feature_extractor.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 5642
unit: def SerializeToString()
file: research/delf/delf/python/feature_io.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 5643
unit: def _write_relabeling_rules()
file: research/delf/delf/python/training/build_image_dataset.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5644
unit: def debug_and_log()
file: research/delf/delf/python/training/global_features_utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 4

id: 5645
unit: def call()
file: research/delf/delf/python/training/model/global_model.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 3

id: 5646
unit: def load_mnist_float()
file: research/rebar/download_data.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5647
unit: def vectorize()
file: research/rebar/utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 8
number of parameters: 3

id: 5648
unit: def _create_network()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5649
unit: def _create_hard_elbo()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5650
unit: def _create_network()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 5651
unit: def _create_loss()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5652
unit: std::unique_ptr MobileLSTDTfLiteClient::Create()
file: research/lstm_object_detection/tflite/mobile_lstd_tflite_client.cc
start line: 23
end line: 30
size: 8 LOC
McCabe index: 2
number of parameters: 0

id: 5653
unit: void MobileSSDClient::SetLabelDisplayNameInResults()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 142
end line: 149
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5654
unit: void MobileSSDClient::SetLabelNameInResults()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 151
end line: 158
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5655
unit: void MobileSSDTfLiteClient::NormalizeInputImage()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 369
end line: 376
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5656
unit: void DecreasingArgSort()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
start line: 35
end line: 42
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5657
unit: def _next_image()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5658
unit: def unroll_policy_for_eval()
file: research/cognitive_planning/train_supervised_active_vision.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 5659
unit: def _conv()
file: research/cognitive_planning/embedders.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 7

id: 5660
unit: def _fully_connected()
file: research/cognitive_planning/embedders.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5661
unit: def _compute_path_length()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5662
unit: def __init__()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 5663
unit: def _compute_shortest_path_length()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5664
unit: def __init__()
file: research/pcl_rl/full_episode_objective.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 6

id: 5665
unit: def training_ops()
file: research/pcl_rl/objective.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5666
unit: def __init__()
file: research/lfads/synth_data/generate_itb_data.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5667
unit: def read_data()
file: research/lfads/utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5668
unit: def all_plot()
file: research/lfads/plot_lfads.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 4

id: 5669
unit: def orthogonal_initializer()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 4

id: 5670
unit: def get_eval_input()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5671
unit: def pool_views_fn()
file: research/attention_ocr/python/model.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5672
unit: def get_checkpoint_path()
file: research/attention_ocr/python/model_export.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 0

id: 5673
unit: def _reshape_context_features()
file: research/object_detection/data_decoders/tf_sequence_example_decoder.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5674
unit: def _reshape_context_features()
file: research/object_detection/data_decoders/tf_example_decoder.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5675
unit: def bfloat16_to_float32_nested()
file: research/object_detection/tpu_exporters/utils.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 1

id: 5676
unit: def parse()
file: research/object_detection/metrics/tf_example_parser.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5677
unit: def __init__()
file: research/object_detection/metrics/coco_tools.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 6

id: 5678
unit: def _build_score_converter()
file: research/object_detection/builders/post_processing_builder.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 5679
unit: def get_regularizer_weight()
file: research/object_detection/builders/hyperparams_builder.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5680
unit: def params()
file: research/object_detection/builders/hyperparams_builder.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5681
unit: def _build_keras_batch_norm_params()
file: research/object_detection/builders/hyperparams_builder.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5682
unit: def get_random_jitter_kwargs()
file: research/object_detection/builders/preprocessor_builder.py
start line: 0
end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5683
unit: def build_score_converter()
file: research/object_detection/builders/box_predictor_builder.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 5684
unit: def _compare()
file: research/object_detection/core/region_similarity_calculator.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5685
unit: def _cross_suppression()
file: research/object_detection/core/post_processing.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5686
unit: def _clip_boxes()
file: research/object_detection/core/post_processing.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5687
unit: def clip_to_window()
file: research/object_detection/core/densepose_ops.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5688
unit: def change_coordinate_frame()
file: research/object_detection/core/densepose_ops.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5689
unit: def adjust_gamma()
file: research/object_detection/core/preprocessor.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5690
unit: def random_resize_method()
file: research/object_detection/core/preprocessor.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5691
unit: def _get_crop_border()
file: research/object_detection/core/preprocessor.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5692
unit: def _compute_loss()
file: research/object_detection/core/losses.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5693
unit: def summarize()
file: research/object_detection/core/losses.py
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McCabe index: 3
number of parameters: 1

id: 5694
unit: def _compute_loss()
file: research/object_detection/core/losses.py
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size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5695
unit: def get_batch_predictions_from_indices()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 5696
unit: def assert_shape_equal()
file: research/object_detection/utils/shape_utils.py
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end line: 0
size: 8 LOC
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number of parameters: 2

id: 5697
unit: def assert_shape_equal_along_first_dimension()
file: research/object_detection/utils/shape_utils.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 5698
unit: def assert_box_normalized()
file: research/object_detection/utils/shape_utils.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5699
unit: def clear_detections()
file: research/object_detection/utils/vrd_evaluation.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5700
unit: def _update_groundtruth_statistics()
file: research/object_detection/utils/vrd_evaluation.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5701
unit: def expanded_shape()
file: research/object_detection/utils/ops.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5702
unit: def fixed_padding()
file: research/object_detection/utils/ops.py
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McCabe index: 1
number of parameters: 3

id: 5703
unit: def filter_unrecognized_classes()
file: research/object_detection/utils/ops.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5704
unit: def __init__()
file: research/object_detection/utils/object_detection_evaluation.py
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McCabe index: 1
number of parameters: 3

id: 5705
unit: def __init__()
file: research/object_detection/utils/object_detection_evaluation.py
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size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5706
unit: def draw_heatmaps_on_image_array()
file: research/object_detection/utils/visualization_utils.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5707
unit: def _resize_original_image()
file: research/object_detection/utils/visualization_utils.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5708
unit: def get_image_resizer_config()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5709
unit: def get_configs_from_pipeline_file()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5710
unit: def clear_fine_tune_checkpoint()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5711
unit: def compute_output_shape()
file: research/object_detection/utils/bifpn_utils.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5712
unit: def freeze_gradients_matching_regex()
file: research/object_detection/utils/variables_helper.py
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end line: 0
size: 8 LOC
McCabe index: 5
number of parameters: 2

id: 5713
unit: def _multi_range()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5714
unit: def sdr_scaled_ranking_score()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5715
unit: def _compute_segmentation_losses()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5716
unit: def restore_from_classification_checkpoint_fn()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5717
unit: def extract_features()
file: research/object_detection/meta_architectures/ssd_meta_arch_test_lib.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5718
unit: def test_preprocess_preserves_static_input_shapes()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5719
unit: def _get_lab_image()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5720
unit: def get_bb_embedding()
file: research/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5721
unit: def _fixed_padding()
file: research/object_detection/models/keras_models/resnet_v1.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5722
unit: def _get_padding_for_kernel_size()
file: research/object_detection/models/keras_models/hourglass_network.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5723
unit: def hourglass_104()
file: research/object_detection/models/keras_models/hourglass_network.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 0

id: 5724
unit: def hourglass_20_uniform_size()
file: research/object_detection/models/keras_models/hourglass_network.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5725
unit: def hourglass_20_no_shortcut()
file: research/object_detection/models/keras_models/hourglass_network.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5726
unit: def resnet_v1_101_fpn()
file: research/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5727
unit: def resnet_v1_34_fpn()
file: research/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5728
unit: def restore_from_classification_checkpoint_fn()
file: research/object_detection/models/ssd_pnasnet_feature_extractor.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5729
unit: def resnet_v2_101()
file: research/object_detection/models/center_net_resnet_feature_extractor.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5730
unit: def _extract_features()
file: research/object_detection/models/ssd_efficientnet_bifpn_feature_extractor.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5731
unit: def _no_resample()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 4

id: 5732
unit: def _dataset_exists()
file: research/slim/datasets/download_and_convert_flowers.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 1

id: 5733
unit: def get_dataset()
file: research/slim/datasets/dataset_factory.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 5734
unit: def image_to_tfexample()
file: research/slim/datasets/dataset_utils.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 5

id: 5735
unit: def write_label_file()
file: research/slim/datasets/dataset_utils.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 3

id: 5736
unit: def alexnet_v2_arg_scope()
file: research/slim/nets/alexnet.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5737
unit: def _reduced_kernel_size_for_small_input()
file: research/slim/nets/mobilenet_v1.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5738
unit: def overfeat_arg_scope()
file: research/slim/nets/overfeat.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 1

id: 5739
unit: def _v1_compatible_scope_naming()
file: research/slim/nets/mobilenet/conv_blocks.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5740
unit: def _reduced_kernel_size_for_small_input()
file: research/slim/nets/inception_v3.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5741
unit: def _reduced_kernel_size_for_small_input()
file: research/slim/nets/inception_v2.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 2

id: 5742
unit: def global_avg_pool()
file: research/slim/nets/nasnet/nasnet_utils.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 2

id: 5743
unit: def _optimize_clone()
file: research/slim/deployment/model_deploy.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 5

id: 5744
unit: def __init__()
file: research/deep_speech/deep_speech_model.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 7

id: 5745
unit: def _preprocess_data()
file: research/deep_speech/data/dataset.py
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size: 8 LOC
McCabe index: 3
number of parameters: 1

id: 5746
unit: def decode()
file: research/deep_speech/decoder.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 5747
unit: def fixed_padding()
file: research/deeplab/core/xception.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 3

id: 5748
unit: def root_block_fn_for_beta_variant()
file: research/deeplab/core/resnet_v1_beta.py
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end line: 0
size: 8 LOC
McCabe index: 1
number of parameters: 2

id: 5749
unit: def main()
file: research/deeplab/evaluation/eval_coco_format.py
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end line: 0
size: 8 LOC
McCabe index: 2
number of parameters: 1

id: 5750
unit: def create_pascal_label_colormap()
file: research/deeplab/utils/get_dataset_colormap.py
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end line: 0
size: 8 LOC
McCabe index: 3
number of parameters: 0

id: 5751
unit: def load_vggish_slim_checkpoint()
file: research/audioset/vggish/vggish_slim.py
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end line: 0
size: 8 LOC
McCabe index: 4
number of parameters: 2

id: 5752
unit: def _batch_norm()
file: research/audioset/yamnet/yamnet.py
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McCabe index: 1
number of parameters: 2

id: 5753
unit: def get_replica_id()
file: official/modeling/tf_utils.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 0

id: 5754
unit: def save_params_dict_to_yaml()
file: official/modeling/hyperparams/params_dict.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5755
unit: def get()
file: official/modeling/hyperparams/oneof.py
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McCabe index: 3
number of parameters: 1

id: 5756
unit: def swap_weights()
file: official/modeling/optimization/ema_optimizer.py
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McCabe index: 2
number of parameters: 1

id: 5757
unit: def __call__()
file: official/modeling/optimization/lr_schedule.py
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McCabe index: 2
number of parameters: 2

id: 5758
unit: def get_config()
file: official/modeling/optimization/lr_schedule.py
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McCabe index: 1
number of parameters: 1

id: 5759
unit: def validation_losses()
file: official/modeling/multitask/evaluator.py
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size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5760
unit: def run_experiment()
file: official/modeling/fast_training/progressive/train_lib.py
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size: 7 LOC
McCabe index: 1
number of parameters: 7

id: 5761
unit: def _ckpt_non_trainable_vars()
file: official/vision/beta/modeling/layers/nn_blocks.py
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McCabe index: 3
number of parameters: 1

id: 5762
unit: def _load_ckpt_non_trainable_vars()
file: official/vision/beta/modeling/layers/nn_blocks.py
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McCabe index: 3
number of parameters: 1

id: 5763
unit: def call()
file: official/vision/beta/modeling/layers/nn_blocks.py
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McCabe index: 1
number of parameters: 3

id: 5764
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_layers.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5765
unit: def call()
file: official/vision/beta/modeling/layers/nn_layers.py
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McCabe index: 1
number of parameters: 2

id: 5766
unit: def call()
file: official/vision/beta/modeling/backbones/mobilenet.py
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size: 7 LOC
McCabe index: 4
number of parameters: 3

id: 5767
unit: def _get_backbone_and_decoder_features()
file: official/vision/beta/modeling/maskrcnn_model.py
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size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5768
unit: def parse_fn()
file: official/vision/beta/dataloaders/parser.py
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McCabe index: 2
number of parameters: 2

id: 5769
unit: def __init__()
file: official/vision/beta/dataloaders/video_input.py
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McCabe index: 1
number of parameters: 3

id: 5770
unit: def get_classification_decoder()
file: official/vision/beta/dataloaders/tfds_factory.py
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size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5771
unit: def put_bytes_list_to_feature()
file: official/vision/beta/dataloaders/tfexample_utils.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5772
unit: def horizontal_flip_boxes()
file: official/vision/beta/ops/preprocess_ops.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5773
unit: def _concat_bbox()
file: official/vision/beta/ops/augment.py
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McCabe index: 3
number of parameters: 2

id: 5774
unit: def _mixup()
file: official/vision/beta/ops/augment.py
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McCabe index: 1
number of parameters: 3

id: 5775
unit: def _update_labels()
file: official/vision/beta/ops/augment.py
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McCabe index: 1
number of parameters: 4

id: 5776
unit: def retinanet()
file: official/vision/beta/configs/retinanet.py
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size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5777
unit: def __init__()
file: official/vision/beta/evaluation/panoptic_quality.py
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McCabe index: 1
number of parameters: 5

id: 5778
unit: def __init__()
file: official/vision/beta/evaluation/coco_utils.py
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McCabe index: 1
number of parameters: 6

id: 5779
unit: def __init__()
file: official/vision/beta/evaluation/iou.py
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McCabe index: 1
number of parameters: 4

id: 5780
unit: def batchnorm()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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McCabe index: 2
number of parameters: 0

id: 5781
unit: def __init__()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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McCabe index: 1
number of parameters: 3

id: 5782
unit: def __init__()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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McCabe index: 1
number of parameters: 3

id: 5783
unit: def hourglass_10()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5784
unit: def hourglass_20()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5785
unit: def hourglass_32()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5786
unit: def hourglass_52()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5787
unit: def hourglass_100()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5788
unit: def inference_for_tflite_image_and_boxes()
file: official/vision/beta/projects/deepmac_maskrcnn/serving/detection.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5789
unit: def get_config()
file: official/vision/beta/projects/centernet/modeling/layers/cn_nn_blocks.py
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end line: 0
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McCabe index: 1
number of parameters: 1

id: 5790
unit: def get_config()
file: official/vision/beta/projects/centernet/modeling/centernet_model.py
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McCabe index: 1
number of parameters: 1

id: 5791
unit: def __init__()
file: official/vision/beta/projects/centernet/ops/box_list.py
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McCabe index: 4
number of parameters: 2

id: 5792
unit: def add_batch_to_indices()
file: official/vision/beta/projects/centernet/ops/loss_ops.py
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McCabe index: 1
number of parameters: 1

id: 5793
unit: def image_shape_to_grids()
file: official/vision/beta/projects/centernet/ops/target_assigner.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5794
unit: def load_weights()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_classes.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5795
unit: def __post_init__()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_classes.py
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end line: 0
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McCabe index: 1
number of parameters: 1

id: 5796
unit: def get_weights()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_classes.py
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McCabe index: 1
number of parameters: 1

id: 5797
unit: def aggregate_logs()
file: official/vision/beta/projects/centernet/tasks/centernet.py
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end line: 0
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McCabe index: 2
number of parameters: 3

id: 5798
unit: def __init__()
file: official/vision/beta/projects/example/example_input.py
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McCabe index: 1
number of parameters: 1

id: 5799
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5800
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5801
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5802
unit: def _csp_route()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5803
unit: def maxpool_config_todict()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5804
unit: def build()
file: official/vision/beta/projects/yolo/modeling/heads/yolo_head.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5805
unit: def get_config()
file: official/vision/beta/projects/yolo/modeling/decoders/yolo_decoder.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5806
unit: def set_random_seeds()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5807
unit: def resize_and_crop_boxes()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 5

id: 5808
unit: def get()
file: official/vision/beta/projects/yolo/configs/yolo.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 1

id: 5809
unit: def yolo()
file: official/vision/beta/projects/yolo/configs/yolo.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5810
unit: def aggregate_logs()
file: official/vision/beta/projects/yolo/tasks/yolo.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5811
unit: def parse_fn()
file: official/vision/beta/projects/video_ssl/dataloaders/video_ssl_input.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5812
unit: def random_blur()
file: official/vision/beta/projects/video_ssl/ops/video_ssl_preprocess_ops.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5813
unit: def build_metrics()
file: official/vision/beta/projects/video_ssl/tasks/pretrain.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5814
unit: def random_blur()
file: official/vision/beta/projects/simclr/dataloaders/preprocess_ops.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5815
unit: def aggregate_logs()
file: official/vision/beta/tasks/retinanet.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5816
unit: def reduce_aggregated_logs()
file: official/vision/beta/tasks/maskrcnn.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 5817
unit: def _decode_tf_example()
file: official/vision/beta/serving/export_base.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5818
unit: def _build_model()
file: official/vision/beta/serving/image_classification.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5819
unit: def _build_model()
file: official/vision/beta/serving/semantic_segmentation.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5820
unit: def __call__()
file: official/vision/beta/losses/maskrcnn_losses.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5821
unit: def __call__()
file: official/vision/beta/losses/maskrcnn_losses.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5822
unit: def _fast_rcnn_class_loss()
file: official/vision/beta/losses/maskrcnn_losses.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5823
unit: def __init__()
file: official/vision/beta/losses/segmentation_losses.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 5824
unit: def get_config()
file: official/vision/beta/losses/focal_loss.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5825
unit: def __init__()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5826
unit: def sq_dist()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5827
unit: def area()
file: official/vision/utils/object_detection/region_similarity_calculator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5828
unit: def transpose_coordinates()
file: official/vision/utils/object_detection/box_list.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5829
unit: def encode_image_array_as_png_str()
file: official/vision/utils/object_detection/visualization_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5830
unit: def export_best_eval_metric()
file: official/core/train_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5831
unit: def parse()
file: official/core/train_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5832
unit: def parse_runtime()
file: official/core/train_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5833
unit: def save_gin_config()
file: official/core/train_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5834
unit: def __init__()
file: official/core/base_task.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5835
unit: def should_recover()
file: official/core/base_trainer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 3

id: 5836
unit: def get_runtime_options()
file: official/core/base_trainer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5837
unit: def tpu_initialize()
file: official/common/distribute_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5838
unit: def build_model()
file: official/utils/testing/mock_task.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5839
unit: def make_input_fn()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5840
unit: def train_input_fn()
file: official/recommendation/ranking/data/data_pipeline.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5841
unit: def eval_input_fn()
file: official/recommendation/ranking/data/data_pipeline.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5842
unit: def process()
file: official/recommendation/ranking/preprocessing/criteo_preprocess.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5843
unit: def validation_step()
file: official/recommendation/ranking/task.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 5844
unit: def metric_fn()
file: official/recommendation/ncf_keras_main.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5845
unit: def call()
file: official/recommendation/ncf_keras_main.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5846
unit: def csv_to_joint_dataframe()
file: official/recommendation/movielens.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5847
unit: def define_flags()
file: official/recommendation/movielens.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5848
unit: def from_config()
file: official/projects/movinet/modeling/movinet_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 3

id: 5849
unit: def get_config()
file: official/projects/movinet/modeling/movinet_layers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5850
unit: def movinet_kinetics600()
file: official/projects/movinet/configs/movinet.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5851
unit: def call()
file: official/projects/teams/teams_pretrainer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5852
unit: def create_model()
file: official/projects/yt8m/modeling/yt8m_agg_models.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5853
unit: def parse_fn()
file: official/projects/yt8m/dataloaders/yt8m_input.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5854
unit: def aggregate_logs()
file: official/projects/yt8m/tasks/yt8m_task.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5855
unit: def calculate_gap()
file: official/projects/yt8m/eval_utils/eval_util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5856
unit: def checkpoint_items()
file: official/projects/basnet/modeling/basnet_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5857
unit: def evaluate()
file: official/projects/basnet/evaluation/metrics.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5858
unit: def _compute_mae()
file: official/projects/basnet/evaluation/metrics.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5859
unit: def _build_model()
file: official/projects/basnet/serving/basnet.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5860
unit: def cur_checkpoint_items()
file: official/projects/mobilebert/distillation.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5861
unit: def _bert_name_replacement()
file: official/projects/mobilebert/tf2_model_checkpoint_converter.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5862
unit: def _get_containing_xla_context()
file: official/projects/bigbird/recompute_grad.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5863
unit: def smooth_labels()
file: official/projects/triviaqa/modeling.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5864
unit: def process()
file: official/projects/triviaqa/dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5865
unit: def forward_grad()
file: official/projects/assemblenet/modeling/rep_flow_2d_layer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5866
unit: def norm_img()
file: official/projects/assemblenet/modeling/rep_flow_2d_layer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5867
unit: def call()
file: official/projects/detr/modeling/transformer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5868
unit: def encoder_common_layers()
file: official/projects/nhnet/utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5869
unit: def remove_sos_from_seq()
file: official/projects/nhnet/models.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5870
unit: def _expand_doc_attention_probs()
file: official/projects/nhnet/models.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5871
unit: def __init__()
file: official/projects/volumetric_models/dataloaders/segmentation_input_3d.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5872
unit: def reset_states()
file: official/projects/volumetric_models/evaluation/segmentation_metrics.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5873
unit: def serve()
file: official/projects/volumetric_models/serving/semantic_segmentation_3d.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5874
unit: def inference_step()
file: official/projects/text_classification_example/classification_example.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5875
unit: def freeze_large_filters()
file: official/projects/edgetpu/vision/modeling/backbones/mobilenet_edgetpu.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 5876
unit: def normalize_images()
file: official/projects/edgetpu/vision/modeling/common_modules.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5877
unit: def resize_nearest_neighbor()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5878
unit: def _maybe_apply_1x1()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 4

id: 5879
unit: def get_config()
file: official/projects/edgetpu/vision/modeling/custom_layers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5880
unit: def seg_deeplabv3plus_ade20k()
file: official/projects/edgetpu/vision/configs/semantic_segmentation_config.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5881
unit: def __init__()
file: official/projects/edgetpu/vision/serving/tflite_imagenet_evaluator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5882
unit: def __init__()
file: official/legacy/detection/modeling/learning_rates.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5883
unit: def __init__()
file: official/legacy/detection/modeling/learning_rates.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5884
unit: def learning_rate_generator()
file: official/legacy/detection/modeling/learning_rates.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5885
unit: def block_group()
file: official/legacy/detection/modeling/architecture/resnet.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 8

id: 5886
unit: def __call__()
file: official/legacy/detection/modeling/architecture/nn_ops.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 3

id: 5887
unit: def __call__()
file: official/legacy/detection/modeling/losses.py
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size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5888
unit: def __call__()
file: official/legacy/detection/modeling/losses.py
start line: 0
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size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5889
unit: def _fast_rcnn_class_loss()
file: official/legacy/detection/modeling/losses.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5890
unit: def __call__()
file: official/legacy/detection/modeling/losses.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 4

id: 5891
unit: def scan_and_generator_annotation_file()
file: official/legacy/detection/evaluation/coco_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5892
unit: def call()
file: official/legacy/transformer/transformer.py
start line: 0
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McCabe index: 3
number of parameters: 4

id: 5893
unit: def get_padding_bias()
file: official/legacy/transformer/model_utils.py
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size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5894
unit: def call()
file: official/legacy/transformer/embedding_layer.py
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size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 5895
unit: def _linear()
file: official/legacy/transformer/embedding_layer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5896
unit: def padded_accuracy()
file: official/legacy/transformer/utils/metrics.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5897
unit: def _get_ngrams_with_counter()
file: official/legacy/transformer/utils/metrics.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5898
unit: def _get_ngrams()
file: official/legacy/transformer/utils/metrics.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5899
unit: def _generate_alphabet_dict()
file: official/legacy/transformer/utils/tokenizer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 6
number of parameters: 2

id: 5900
unit: def padded_accuracy()
file: official/legacy/transformer/metrics.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5901
unit: def main()
file: official/legacy/transformer/compute_bleu.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5902
unit: def squad_loss_fn()
file: official/legacy/bert/run_squad_helper.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5903
unit: def write_txt_summary()
file: official/legacy/bert/model_training_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5904
unit: def eval_squad()
file: official/legacy/bert/run_squad.py
start line: 0
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5905
unit: def call()
file: official/legacy/bert/serving.py
start line: 0
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McCabe index: 1
number of parameters: 2

id: 5906
unit: def get_config()
file: official/legacy/image_classification/learning_rate.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5907
unit: def get_config()
file: official/legacy/image_classification/learning_rate.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5908
unit: def preprocess_for_eval()
file: official/legacy/image_classification/preprocessing.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5909
unit: def _mean_image_subtraction()
file: official/legacy/image_classification/resnet/imagenet_preprocessing.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 3

id: 5910
unit: def get_image_size_from_model()
file: official/legacy/image_classification/classifier_trainer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5911
unit: def _apply_func_with_prob()
file: official/legacy/image_classification/augment.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5912
unit: def timeout_fn()
file: official/nlp/continuous_finetune_lib.py
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end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 0

id: 5913
unit: def _generalized_kernel()
file: official/nlp/modeling/layers/kernel_attention.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5914
unit: def build()
file: official/nlp/modeling/layers/on_device_embedding.py
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size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5915
unit: def get_config()
file: official/nlp/modeling/layers/masked_softmax.py
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size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5916
unit: def _create_vocab_table_and_initializer()
file: official/nlp/modeling/layers/text_layers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5917
unit: def call()
file: official/nlp/modeling/layers/text_layers.py
start line: 0
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size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5918
unit: def __init__()
file: official/nlp/modeling/layers/mat_mul_with_margin.py
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McCabe index: 1
number of parameters: 4

id: 5919
unit: def _masked_softmax()
file: official/nlp/modeling/layers/reuse_attention.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 5920
unit: def inf()
file: official/nlp/modeling/ops/beam_search.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 1

id: 5921
unit: def _shape_list()
file: official/nlp/modeling/ops/beam_search.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5922
unit: def _get_shape_keep_last_dim()
file: official/nlp/modeling/ops/beam_search.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5923
unit: def get_shape_keep_last_dim()
file: official/nlp/modeling/ops/decoding_module.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5924
unit: def _get_new_alive_state()
file: official/nlp/modeling/ops/decoding_module.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 5925
unit: def _get_new_finished_state()
file: official/nlp/modeling/ops/decoding_module.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 7

id: 5926
unit: def inf()
file: official/nlp/modeling/ops/decoding_module.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5927
unit: def _get_random()
file: official/nlp/modeling/ops/segment_extractor.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5928
unit: def embedding_network()
file: official/nlp/modeling/networks/encoder_scaffold.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5929
unit: def call()
file: official/nlp/modeling/models/seq2seq_transformer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5930
unit: def create_variable()
file: official/nlp/modeling/models/t5.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 5931
unit: def dense_gradient()
file: official/nlp/modeling/models/t5.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5932
unit: def __call__()
file: official/nlp/modeling/models/t5.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5933
unit: def __call__()
file: official/nlp/modeling/models/t5.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5934
unit: def __call__()
file: official/nlp/modeling/models/t5.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5935
unit: def __init__()
file: official/nlp/data/tagging_data_lib.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5936
unit: def __init__()
file: official/nlp/data/tagging_data_lib.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5937
unit: def load()
file: official/nlp/data/pretrain_dynamic_dataloader.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5938
unit: def _read_tsv()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5939
unit: def __init__()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5940
unit: def __init__()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5941
unit: def to_feature()
file: official/nlp/data/create_xlnet_pretraining_data.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5942
unit: def __init__()
file: official/nlp/data/create_pretraining_data.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 5943
unit: def load()
file: official/nlp/data/sentence_prediction_dataloader.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5944
unit: def __call__()
file: official/nlp/data/sentence_prediction_dataloader.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 2

id: 5945
unit: def _bert_preprocess()
file: official/nlp/data/sentence_prediction_dataloader.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 3

id: 5946
unit: def load()
file: official/nlp/data/sentence_prediction_dataloader.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5947
unit: def _bert_tokenize()
file: official/nlp/data/dual_encoder_dataloader.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 4

id: 5948
unit: def load()
file: official/nlp/data/dual_encoder_dataloader.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5949
unit: def _get_ngrams_with_counter()
file: official/nlp/metrics/bleu.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5950
unit: def rel_shift()
file: official/nlp/xlnet/xlnet_modeling.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5951
unit: def call()
file: official/nlp/xlnet/xlnet_modeling.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5952
unit: def build()
file: official/nlp/xlnet/xlnet_modeling.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5953
unit: def make_qid_to_has_ans()
file: official/nlp/xlnet/squad_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5954
unit: def _is_start_piece()
file: official/nlp/xlnet/preprocess_pretrain_data.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5955
unit: def get_input_iterator()
file: official/nlp/xlnet/data_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5956
unit: def _whole_word_mask()
file: official/nlp/xlnet/data_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5957
unit: def get_classificationxlnet_model()
file: official/nlp/xlnet/run_classifier.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5958
unit: def get_test_examples()
file: official/nlp/xlnet/preprocess_classification_data.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5959
unit: def __init__()
file: official/nlp/xlnet/preprocess_classification_data.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 5960
unit: def _bert_name_replacement()
file: official/nlp/tools/tf1_bert_checkpoint_converter_lib.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5961
unit: def _make_qid_to_has_ans()
file: official/nlp/tools/squad_evaluate_v2_0.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 1

id: 5962
unit: def _is_whitespace()
file: official/nlp/tools/tokenization.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 7
number of parameters: 1

id: 5963
unit: def _is_control()
file: official/nlp/tools/tokenization.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 1

id: 5964
unit: def __init__()
file: official/nlp/tools/tokenization.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5965
unit: def _pad_tensors_to_same_length()
file: official/nlp/tasks/translation.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 5966
unit: def process_metrics()
file: official/nlp/tasks/question_answering.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5967
unit: def serve()
file: official/nlp/serving/serving_modules.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5968
unit: def _override_exp_config_by_file()
file: official/nlp/finetuning/superglue/run_superglue.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5969
unit: def _override_exp_config_by_file()
file: official/nlp/finetuning/glue/run_glue.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5970
unit: def write()
file: orbit/actions/new_best_metric.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 5971
unit: def __init__()
file: orbit/actions/export_saved_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 5

id: 5972
unit: def _format_output()
file: orbit/controller.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5973
unit: def __call__()
file: orbit/utils/loop_fns.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 5974
unit: def _soft_device_placement()
file: orbit/utils/tpu_summaries.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5975
unit: def create_global_step()
file: orbit/utils/common.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 0

id: 5976
unit: def fill_feed_dict()
file: research/vid2depth/ops/icp_train_demo.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5977
unit: def scale_intrinsics()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5978
unit: def load_intrinsics_raw()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5979
unit: def scale_intrinsics()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5980
unit: def scale_intrinsics()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5981
unit: def scale_intrinsics()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 5982
unit: def _stack_image_seq()
file: research/vid2depth/dataset/gen_data.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 5983
unit: def _resize_like()
file: research/vid2depth/nets.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5984
unit: def _validate_contexts()
file: research/efficient-hrl/context/samplers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5985
unit: def __call__()
file: research/efficient-hrl/context/samplers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5986
unit: def _next()
file: research/efficient-hrl/context/samplers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 5987
unit: def __call__()
file: research/efficient-hrl/context/samplers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5988
unit: def merge_shapes()
file: research/efficient-hrl/utils/utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5989
unit: def clip()
file: research/efficient-hrl/utils/utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 5990
unit: def actor_loss()
file: research/efficient-hrl/agent.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 5991
unit: def __init__()
file: research/efficient-hrl/agents/circular_buffer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5992
unit: def pil_transformer()
file: research/autoaugment/augmentation_transforms.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 5993
unit: def _res_add()
file: research/autoaugment/wrn.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 5

id: 5994
unit: int GetNumberOfSteps()
file: research/seq_flow_lite/tflite_ops/layer_norm.cc
start line: 61
end line: 67
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 5995
unit: void DocSizeFeature()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 154
end line: 160
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 5996
unit: def random_drop_to_zero()
file: research/seq_flow_lite/layers/base_layers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 5997
unit: def call()
file: research/seq_flow_lite/layers/dense_layers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 5998
unit: def _qrnn_postprocess()
file: research/seq_flow_lite/layers/qrnn_layers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 5999
unit: def _apply_qrnn_stack()
file: research/seq_flow_lite/layers/qrnn_layers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 4

id: 6000
unit: def build()
file: research/seq_flow_lite/layers/conv_layers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 6001
unit: def classification_metric()
file: research/seq_flow_lite/metric_functions.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6002
unit: def _dump_graph_in_text_format()
file: research/seq_flow_lite/utils/tflite_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 6003
unit: def op_details()
file: research/seq_flow_lite/utils/tflite_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 6004
unit: void ProjectionNormalizer::InitializeSeparators()
file: research/seq_flow_lite/tf_ops/projection_normalizer_util.cc
start line: 101
end line: 107
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 6005
unit: void GetMoreBits()
file: research/seq_flow_lite/tf_ops/projection_util.cc
start line: 74
end line: 80
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 6006
unit: explicit TextDistorter()
file: research/seq_flow_lite/tf_ops/text_distorter.h
start line: 27
end line: 33
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6007
unit: def _get_sizes()
file: research/cvt_text/corpus_processing/minibatching.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 3

id: 6008
unit: def _make_examples()
file: research/cvt_text/corpus_processing/unlabeled_data.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 6009
unit: def get_unlabeled_examples()
file: research/cvt_text/corpus_processing/unlabeled_data.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 6010
unit: def update_feed_dict()
file: research/cvt_text/task_specific/word_level/tagging_module.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 3

id: 6011
unit: def __init__()
file: research/cvt_text/model/multitask_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 5

id: 6012
unit: def _get_train_op()
file: research/cvt_text/model/multitask_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6013
unit: def run_teacher()
file: research/cvt_text/model/multitask_model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 6014
unit: def write()
file: research/cvt_text/training/training_progress.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6015
unit: def call()
file: research/adversarial_text/layers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 6016
unit: def __init__()
file: research/adversarial_text/layers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 6017
unit: def close()
file: research/adversarial_text/data/data_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 6018
unit: def write_vocab_and_frequency()
file: research/adversarial_text/data/data_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 6019
unit: def state()
file: research/adversarial_text/inputs.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 6020
unit: def save_state()
file: research/adversarial_text/inputs.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 6021
unit: def build_input_sequence()
file: research/adversarial_text/gen_data.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 6022
unit: def restore_from_checkpoint()
file: research/adversarial_text/evaluate.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 6023
unit: def __next__()
file: research/delf/delf/python/datasets/tuples_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 6024
unit: def __getitem__()
file: research/delf/delf/python/datasets/generic_dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 6025
unit: def id2filename()
file: research/delf/delf/python/datasets/sfm120k/sfm120k.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 6026
unit: def __init__()
file: research/delf/delf/python/feature_aggregation_similarity.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 6027
unit: def load_data()
file: research/rebar/datasets.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 6028
unit: def read_MNIST()
file: research/rebar/datasets.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 6029
unit: def compute_tensor_variance()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6030
unit: def _mean_sample()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 6031
unit: def _create_loss()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6032
unit: def _create_loss()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6033
unit: def _create_loss()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6034
unit: int MobileSSDClient::GetLabelId()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 134
end line: 140
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 6035
unit: int GetLabelOffset()
file: research/lstm_object_detection/tflite/utils/ssd_utils.cc
start line: 55
end line: 61
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6036
unit: def _init_category_index()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 6037
unit: def preprocess_image()
file: research/cognitive_planning/preprocessing/lenet_preprocessing.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 6038
unit: def encode_image_array_as_png_str()
file: research/cognitive_planning/visualization_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6039
unit: def _validate_label_map()
file: research/cognitive_planning/label_map_util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 6
number of parameters: 1

id: 6040
unit: def _fully_connected()
file: research/cognitive_planning/embedders.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6041
unit: def reset()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 6042
unit: def optimize()
file: research/pcl_rl/optimizers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 6043
unit: def sampling_dim()
file: research/pcl_rl/env_spec.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 3

id: 6044
unit: def split_list_by_inds()
file: research/lfads/synth_data/synthetic_data_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 5
number of parameters: 3

id: 6045
unit: def logp()
file: research/lfads/distributions.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 6046
unit: def logp()
file: research/lfads/distributions.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 6047
unit: def list_t_bxn_to_tensor_bxtxn()
file: research/lfads/utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 6048
unit: def clean_data_dict()
file: research/lfads/run_lfads.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 6049
unit: def __init__()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 6050
unit: def get_image_feature()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 6051
unit: def get_train_input()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 6052
unit: def unroll_cell()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 6053
unit: def null_based_length_prediction()
file: research/attention_ocr/python/model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6054
unit: def sequence_logit_fn()
file: research/attention_ocr/python/model.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6055
unit: def attention_ocr_attention_masks()
file: research/attention_ocr/python/model_export_lib.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 6056
unit: def __init__()
file: research/object_detection/export_tflite_graph_lib_tf2.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 6057
unit: def _encode()
file: research/object_detection/box_coders/mean_stddev_box_coder.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 6058
unit: def _decode()
file: research/object_detection/box_coders/mean_stddev_box_coder.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 6059
unit: def main()
file: research/object_detection/tpu_exporters/export_saved_model_tpu.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 6060
unit: def parse_pipeline_config()
file: research/object_detection/tpu_exporters/export_saved_model_tpu_lib.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6061
unit: def clear()
file: research/object_detection/metrics/lvis_evaluation.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6062
unit: def shard_function_for_context()
file: research/object_detection/builders/dataset_builder.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 6063
unit: def _score_converter_fn_with_logit_scale()
file: research/object_detection/builders/post_processing_builder.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6064
unit: def batch_norm_params()
file: research/object_detection/builders/hyperparams_builder.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 6065
unit: def __init__()
file: research/object_detection/core/box_predictor.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 6066
unit: def giou()
file: research/object_detection/core/box_list_ops.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6067
unit: def sq_dist()
file: research/object_detection/core/box_list_ops.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6068
unit: def __init__()
file: research/object_detection/core/box_list.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 6069
unit: def subtract_channel_mean()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 6070
unit: def __init__()
file: research/object_detection/core/losses.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 6071
unit: def change_coordinate_frame()
file: research/object_detection/core/keypoint_ops.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6072
unit: def _create_classification_weights()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6073
unit: def __init__()
file: research/object_detection/anchor_generators/flexible_grid_anchor_generator.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 6074
unit: def gather()
file: research/object_detection/utils/np_box_mask_list_ops.py
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end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 6075
unit: def prune_non_overlapping_masks()
file: research/object_detection/utils/np_box_mask_list_ops.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6076
unit: def iou()
file: research/object_detection/utils/np_box_ops.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6077
unit: def prune_non_overlapping_boxes()
file: research/object_detection/utils/np_box_list_ops.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6078
unit: def filter_groundtruth_with_crowd_boxes()
file: research/object_detection/utils/ops.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 6079
unit: def filter_groundtruth_with_nan_box_coordinates()
file: research/object_detection/utils/ops.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6080
unit: def __init__()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6081
unit: def image_shape_to_grids()
file: research/object_detection/utils/target_assigner_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6082
unit: def encode_image_array_as_png_str()
file: research/object_detection/utils/visualization_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6083
unit: def get_coordinates()
file: research/object_detection/utils/np_box_list.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6084
unit: def _validate_label_map()
file: research/object_detection/utils/label_map_util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 6
number of parameters: 1

id: 6085
unit: def get_number_of_classes()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 6086
unit: def _update_focal_loss_gamma()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 6087
unit: def _update_focal_loss_alpha()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 6088
unit: def compute_median_rank_at_k()
file: research/object_detection/utils/metrics.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 6089
unit: def _combine_fast_attention()
file: research/object_detection/utils/bifpn_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6090
unit: def get_global_variables_safely()
file: research/object_detection/utils/variables_helper.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 0

id: 6091
unit: def row_col_channel_indices_from_flattened_indices()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 3

id: 6092
unit: def convert_strided_predictions_to_normalized_boxes()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6093
unit: def compute_valid_mask()
file: research/object_detection/meta_architectures/context_rcnn_lib_tf2.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6094
unit: def __init__()
file: research/object_detection/meta_architectures/ssd_meta_arch_test_lib.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6095
unit: def compute_valid_mask()
file: research/object_detection/meta_architectures/context_rcnn_lib.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6096
unit: def _get_model()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 6097
unit: def preprocess()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6098
unit: def _gather_instance_masks()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6099
unit: def resize_instance_masks()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6100
unit: def generate_2d_neighbors()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6101
unit: def dilated_cross_same_mask_label()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6102
unit: def __init__()
file: research/object_detection/exporter_lib_v2.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 6103
unit: def context_bytes_feature()
file: research/object_detection/dataset_tools/seq_example_util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 6104
unit: def sequence_float_feature()
file: research/object_detection/dataset_tools/seq_example_util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 6105
unit: def sequence_int64_feature()
file: research/object_detection/dataset_tools/seq_example_util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 6106
unit: def sequence_strings_feature()
file: research/object_detection/dataset_tools/seq_example_util.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 6107
unit: def main()
file: research/object_detection/dataset_tools/create_kitti_tf_record.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6108
unit: def _largest_size_at_most()
file: research/object_detection/dataset_tools/context_rcnn/add_context_to_examples.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 6109
unit: def stack_basic()
file: research/object_detection/models/keras_models/resnet_v1.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 5

id: 6110
unit: def _make_divisible()
file: research/object_detection/models/keras_models/base_models/original_mobilenet_v2.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 6111
unit: def BatchNormalization()
file: research/object_detection/models/keras_models/inception_resnet_v2.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6112
unit: def batchnorm()
file: research/object_detection/models/keras_models/hourglass_network.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 0

id: 6113
unit: def __init__()
file: research/object_detection/models/keras_models/hourglass_network.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6114
unit: def __init__()
file: research/object_detection/models/keras_models/hourglass_network.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 3

id: 6115
unit: def hourglass_10()
file: research/object_detection/models/keras_models/hourglass_network.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6116
unit: def hourglass_20()
file: research/object_detection/models/keras_models/hourglass_network.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6117
unit: def hourglass_32()
file: research/object_detection/models/keras_models/hourglass_network.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6118
unit: def hourglass_52()
file: research/object_detection/models/keras_models/hourglass_network.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6119
unit: def hourglass_100()
file: research/object_detection/models/keras_models/hourglass_network.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6120
unit: def _make_divisible()
file: research/object_detection/models/keras_models/mobilenet_v2.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 6121
unit: def resnet_v1_50_fpn()
file: research/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 6122
unit: def resnet_v1_18_fpn()
file: research/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 6123
unit: def test_extract_features_raises_error_with_invalid_image_size()
file: research/object_detection/models/ssd_resnet_v1_ppn_feature_extractor_testbase.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6124
unit: def _filter_features()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 6125
unit: def resnet_v2_50()
file: research/object_detection/models/center_net_resnet_feature_extractor.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 6126
unit: def preprocess()
file: research/object_detection/models/ssd_efficientnet_bifpn_feature_extractor.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 6127
unit: def _filter_features()
file: research/object_detection/models/ssd_resnet_v1_ppn_feature_extractor.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 6128
unit: def _create_feature_extractor()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 6

id: 6129
unit: def download_coco_dataset()
file: research/slim/datasets/download_and_convert_visualwakewords_lib.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6130
unit: def GetItem()
file: research/slim/datasets/process_bounding_boxes.py
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end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 6131
unit: def FindNumberBoundingBoxes()
file: research/slim/datasets/process_bounding_boxes.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 6132
unit: def _extract_labels()
file: research/slim/datasets/download_and_convert_mnist.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 2

id: 6133
unit: def _clean_up_temporary_files()
file: research/slim/datasets/download_and_convert_mnist.py
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end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 1

id: 6134
unit: def _process_dataset()
file: research/slim/datasets/build_imagenet_data.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 6135
unit: def lenet_arg_scope()
file: research/slim/nets/lenet.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6136
unit: def _make_divisible()
file: research/slim/nets/mobilenet/conv_blocks.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 6137
unit: def _make_divisible()
file: research/slim/nets/mobilenet/mobilenet.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 6138
unit: def safe_arg_scope()
file: research/slim/nets/mobilenet/mobilenet.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 2

id: 6139
unit: def reduce_to_1x1()
file: research/slim/nets/mobilenet/mobilenet_v3.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 3

id: 6140
unit: def _reduce_consecutive_layers()
file: research/slim/nets/mobilenet/mobilenet_v3.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 4

id: 6141
unit: def vgg_arg_scope()
file: research/slim/nets/vgg.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6142
unit: def calc_reduction_layers()
file: research/slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 2
number of parameters: 2

id: 6143
unit: def _operation_to_pooling_shape()
file: research/slim/nets/nasnet/nasnet_utils.py
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end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 1

id: 6144
unit: def clone_scope()
file: research/slim/deployment/model_deploy.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 2

id: 6145
unit: def __init__()
file: research/deep_speech/data/dataset.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 6146
unit: def __init__()
file: research/deep_speech/data/featurizer.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 6147
unit: def __init__()
file: research/deeplab/core/dense_prediction_cell.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 4
number of parameters: 3

id: 6148
unit: def get_label_resize_method()
file: research/deeplab/core/preprocess_utils.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 6149
unit: def __init__()
file: research/deeplab/evaluation/base_metric.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 5

id: 6150
unit: def stft_magnitude()
file: research/audioset/vggish/mel_features.py
start line: 0
end line: 0
size: 7 LOC
McCabe index: 1
number of parameters: 4

id: 6151
unit: def class_names()
file: research/audioset/yamnet/yamnet.py
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end line: 0
size: 7 LOC
McCabe index: 3
number of parameters: 1

id: 6152
unit: def cross_replica_concat()
file: official/modeling/tf_utils.py
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end line: 0
size: 6 LOC
McCabe index: 5
number of parameters: 3

id: 6153
unit: def override()
file: official/modeling/hyperparams/params_dict.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 6154
unit: def _isvalidsequence()
file: official/modeling/hyperparams/base_config.py
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end line: 0
size: 6 LOC
McCabe index: 7
number of parameters: 2

id: 6155
unit: def as_dict()
file: official/modeling/hyperparams/base_config.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6156
unit: def from_yaml()
file: official/modeling/hyperparams/base_config.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6157
unit: def _do_layer_adaptation()
file: official/modeling/optimization/lars_optimizer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 2

id: 6158
unit: def assign_average_vars()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6159
unit: def from_config()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6160
unit: def get_config()
file: official/modeling/optimization/lr_schedule.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6161
unit: def validation_metrics()
file: official/modeling/multitask/evaluator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 6162
unit: def train_loop_begin()
file: official/modeling/multitask/base_trainer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 6163
unit: def training_metrics()
file: official/modeling/multitask/base_trainer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 6164
unit: def __init__()
file: official/modeling/multitask/task_sampler.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6165
unit: def _build_inputs()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6166
unit: def build()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6167
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6168
unit: def _buffered_spatial_output_shape()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6169
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6170
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6171
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6172
unit: def __init__()
file: official/vision/beta/modeling/layers/roi_aligner.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6173
unit: def __init__()
file: official/vision/beta/modeling/layers/mask_sampler.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6174
unit: def build_retinanet()
file: official/vision/beta/modeling/factory.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6175
unit: def build_segmentation_model()
file: official/vision/beta/modeling/factory.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6176
unit: def __init__()
file: official/vision/beta/modeling/backbones/spinenet_mobile.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 6

id: 6177
unit: def build_block_specs()
file: official/vision/beta/modeling/backbones/spinenet_mobile.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6178
unit: def __init__()
file: official/vision/beta/modeling/backbones/spinenet.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 6

id: 6179
unit: def build_block_specs()
file: official/vision/beta/modeling/backbones/spinenet.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6180
unit: def checkpoint_items()
file: official/vision/beta/modeling/retinanet_model.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6181
unit: def call()
file: official/vision/beta/modeling/decoders/aspp.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6182
unit: def __init__()
file: official/vision/beta/modeling/decoders/nasfpn.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 6

id: 6183
unit: def build_block_specs()
file: official/vision/beta/modeling/decoders/nasfpn.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6184
unit: def coco_segmentation_to_mask_png()
file: official/vision/beta/data/create_coco_tf_record.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6185
unit: def _process_label_map()
file: official/vision/beta/dataloaders/tf_example_label_map_decoder.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6186
unit: def decode()
file: official/vision/beta/dataloaders/video_input.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6187
unit: def get_detection_decoder()
file: official/vision/beta/dataloaders/tfds_factory.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6188
unit: def get_segmentation_decoder()
file: official/vision/beta/dataloaders/tfds_factory.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6189
unit: def dump_to_tfrecord()
file: official/vision/beta/dataloaders/tfexample_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6190
unit: def _decode_boxes()
file: official/vision/beta/dataloaders/tf_example_decoder.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6191
unit: def get_non_empty_box_indices()
file: official/vision/beta/ops/box_ops.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6192
unit: def from_4d()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6193
unit: def solarize_add()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 3

id: 6194
unit: def _clip_bbox()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6195
unit: def _smooth_labels()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6196
unit: def __init__()
file: official/vision/beta/ops/sampling_ops.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 6197
unit: def _valid_categories()
file: official/vision/beta/evaluation/panoptic_quality.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6198
unit: def _crop_padding()
file: official/vision/beta/evaluation/panoptic_quality_evaluator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6199
unit: def __init__()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/paste_masks.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6200
unit: def build()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/paste_masks.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6201
unit: def call()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6202
unit: def reverse_input_box_transformation()
file: official/vision/beta/projects/deepmac_maskrcnn/serving/detection.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6203
unit: def prune_small_boxes()
file: official/vision/beta/projects/centernet/ops/box_list_ops.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6204
unit: def build_model()
file: official/vision/beta/projects/example/example_task.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6205
unit: def checkpoint_items()
file: official/vision/beta/projects/yolo/modeling/yolo_model.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6206
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6207
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6208
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6209
unit: def _insert_spp()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6210
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6211
unit: def get_config()
file: official/vision/beta/projects/yolo/modeling/layers/detection_generator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6212
unit: def _skip()
file: official/vision/beta/projects/yolo/ops/mosaic.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6213
unit: def random_scale()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6214
unit: def image_rand_hsv()
file: official/vision/beta/projects/yolo/ops/preprocessing_ops.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 6

id: 6215
unit: def _build_anchor_grid()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6216
unit: def _var_key()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 6217
unit: def _search()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 5
number of parameters: 3

id: 6218
unit: def build_metric()
file: official/vision/beta/projects/yolo/tasks/task_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6219
unit: def result()
file: official/vision/beta/projects/yolo/tasks/task_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6220
unit: def __init__()
file: official/vision/beta/projects/video_ssl/dataloaders/video_ssl_input.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6221
unit: def __init__()
file: official/vision/beta/projects/video_ssl/dataloaders/video_ssl_input.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6222
unit: def random_apply()
file: official/vision/beta/projects/video_ssl/ops/video_ssl_preprocess_ops.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6223
unit: def random_solarization()
file: official/vision/beta/projects/video_ssl/ops/video_ssl_preprocess_ops.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6224
unit: def get_config()
file: official/vision/beta/projects/simclr/losses/contrastive_losses.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6225
unit: def _get_feature_shape()
file: official/vision/beta/tasks/video_classification.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6226
unit: def get_inference_signatures()
file: official/vision/beta/serving/export_base_v2.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6227
unit: def __init__()
file: official/vision/beta/losses/maskrcnn_losses.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6228
unit: def __call__()
file: official/vision/beta/losses/maskrcnn_losses.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6229
unit: def get_config()
file: official/vision/beta/losses/retinanet_losses.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6230
unit: def gather_based_on_match()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6231
unit: def prune_small_boxes()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6232
unit: def __init__()
file: official/vision/utils/object_detection/box_list.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 2

id: 6233
unit: def _flip_boxes_left_right()
file: official/vision/utils/object_detection/preprocessor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6234
unit: def __init__()
file: official/vision/utils/object_detection/balanced_positive_negative_sampler.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 6235
unit: def __init__()
file: official/vision/utils/object_detection/faster_rcnn_box_coder.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6236
unit: def tfds_info()
file: official/core/input_reader.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6237
unit: def eval_begin()
file: official/core/base_trainer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 6238
unit: def get_strategy_scope()
file: official/common/distribute_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6239
unit: def get_num_gpus()
file: official/utils/flags/_base.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 6240
unit: def define_log_steps()
file: official/utils/flags/_benchmark.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6241
unit: def _stdout_utf8()
file: official/utils/flags/_conventions.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 0

id: 6242
unit: def end_construction()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6243
unit: def _index_segment()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6244
unit: def get_constructor()
file: official/recommendation/data_pipeline.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6245
unit: def permutation()
file: official/recommendation/stat_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6246
unit: def define_data_download_flags()
file: official/recommendation/movielens.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6247
unit: def build()
file: official/projects/vit/modeling/nn_blocks.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6248
unit: def get_config()
file: official/projects/movinet/modeling/movinet_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6249
unit: def call()
file: official/projects/movinet/modeling/movinet_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6250
unit: def call()
file: official/projects/movinet/modeling/movinet_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6251
unit: def Dequantize()
file: official/projects/yt8m/dataloaders/utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6252
unit: def MakeSummary()
file: official/projects/yt8m/dataloaders/utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6253
unit: def decode()
file: official/projects/yt8m/dataloaders/yt8m_input.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6254
unit: def add_trainer()
file: official/projects/yt8m/configs/yt8m.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6255
unit: def accumulate()
file: official/projects/yt8m/eval_utils/mean_average_precision_calculator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 4

id: 6256
unit: def __init__()
file: official/projects/yt8m/eval_utils/average_precision_calculator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 2

id: 6257
unit: def _shuffle()
file: official/projects/yt8m/eval_utils/average_precision_calculator.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6258
unit: def clear()
file: official/projects/yt8m/eval_utils/eval_util.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6259
unit: def update_state()
file: official/projects/basnet/evaluation/metrics.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6260
unit: def update_state()
file: official/projects/basnet/evaluation/metrics.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6261
unit: def _compute_erosion()
file: official/projects/basnet/evaluation/metrics.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6262
unit: def update_state()
file: official/projects/basnet/evaluation/metrics.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6263
unit: def build_losses()
file: official/projects/basnet/tasks/basnet.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6264
unit: def reduce_aggregated_logs()
file: official/projects/basnet/tasks/basnet.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6265
unit: def get_train_dataset()
file: official/projects/mobilebert/distillation.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6266
unit: def get_eval_dataset()
file: official/projects/mobilebert/distillation.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6267
unit: def _get_permutation()
file: official/projects/mobilebert/tf2_model_checkpoint_converter.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6268
unit: def main()
file: official/projects/mobilebert/export_tfhub.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6269
unit: def call()
file: official/projects/triviaqa/modeling.py
start line: 0
end line: 0
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McCabe index: 1
number of parameters: 3

id: 6270
unit: def worker_context()
file: official/projects/triviaqa/predict.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 0

id: 6271
unit: def metric_max_over_ground_truths()
file: official/projects/triviaqa/evaluation.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6272
unit: def is_exact_match()
file: official/projects/triviaqa/evaluation.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6273
unit: def worker_context()
file: official/projects/triviaqa/train.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 0

id: 6274
unit: def decode_answer()
file: official/projects/triviaqa/prediction.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6275
unit: def make_paragraph()
file: official/projects/triviaqa/preprocess.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6276
unit: def alias_answer()
file: official/projects/triviaqa/preprocess.py
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end line: 0
size: 6 LOC
McCabe index: 5
number of parameters: 2

id: 6277
unit: def __init__()
file: official/projects/triviaqa/preprocess.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6278
unit: def object_conv_stem()
file: official/projects/assemblenet/modeling/assemblenet_plus.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6279
unit: def __init__()
file: official/projects/detr/modeling/detr.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6280
unit: def get_config()
file: official/projects/detr/modeling/detr.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6281
unit: def load()
file: official/projects/detr/dataloaders/coco.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6282
unit: def __init__()
file: official/projects/nhnet/decoder.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6283
unit: def get_config()
file: official/projects/nhnet/optimizer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6284
unit: def train_decode()
file: official/projects/nhnet/models.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6285
unit: def __init__()
file: official/projects/nhnet/trainer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6286
unit: def build_identity()
file: official/projects/volumetric_models/modeling/decoders/factory.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6287
unit: def train_step()
file: official/projects/volumetric_models/tasks/semantic_segmentation_3d.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6288
unit: def __init__()
file: official/projects/volumetric_models/losses/segmentation_losses.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6289
unit: def count_params()
file: official/projects/edgetpu/vision/modeling/common_modules.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6290
unit: def add_n()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 1

id: 6291
unit: def call()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6292
unit: def from_config()
file: official/projects/edgetpu/vision/modeling/custom_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6293
unit: def call()
file: official/projects/edgetpu/vision/modeling/custom_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6294
unit: def build_experiment_model()
file: official/projects/edgetpu/vision/serving/export_util.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6295
unit: def checkpoint_items()
file: official/projects/edgetpu/nlp/modeling/pretrainer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6296
unit: def get_config()
file: official/projects/edgetpu/nlp/modeling/edgetpu_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6297
unit: def serialize_config()
file: official/projects/edgetpu/nlp/utils/utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6298
unit: def pad_groundtruths_to_fixed_size()
file: official/legacy/detection/dataloader/retinanet_parser.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6299
unit: def _decode_boxes()
file: official/legacy/detection/dataloader/tf_example_decoder.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6300
unit: def norm_activation_generator()
file: official/legacy/detection/modeling/architecture/factory.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6301
unit: def metric_results()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6302
unit: def pad_groundtruths_to_fixed_size()
file: official/legacy/detection/utils/dataloader_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6303
unit: def get_non_empty_box_indices()
file: official/legacy/detection/utils/box_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6304
unit: def get_config()
file: official/legacy/transformer/ffn_layer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6305
unit: def call()
file: official/legacy/transformer/ffn_layer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6306
unit: def get_config()
file: official/legacy/transformer/attention_layer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6307
unit: def _trim_and_decode()
file: official/legacy/transformer/translate.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6308
unit: def translate_from_text()
file: official/legacy/transformer/translate.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6309
unit: def __init__()
file: official/legacy/transformer/optimizer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6310
unit: def get_config()
file: official/legacy/transformer/optimizer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6311
unit: def alphanumeric_char_set()
file: official/legacy/transformer/utils/tokenizer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 0

id: 6312
unit: def bleu_tokenize()
file: official/legacy/transformer/compute_bleu.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6313
unit: def bleu_wrapper()
file: official/legacy/transformer/compute_bleu.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6314
unit: def predict_squad()
file: official/legacy/bert/run_squad.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6315
unit: def __init__()
file: official/legacy/bert/bert_models.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6316
unit: def __init__()
file: official/legacy/image_classification/learning_rate.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6317
unit: def get_models()
file: official/legacy/image_classification/classifier_trainer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6318
unit: def from_4d()
file: official/legacy/image_classification/augment.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6319
unit: def solarize_add()
file: official/legacy/image_classification/augment.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 3

id: 6320
unit: def get_scalar_from_tensor()
file: official/legacy/image_classification/callbacks.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6321
unit: def run_continuous_finetune()
file: official/nlp/continuous_finetune_lib.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6322
unit: def compute_predictive_covariance()
file: official/nlp/modeling/layers/gaussian_process.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6323
unit: def _get_training_value()
file: official/nlp/modeling/layers/gaussian_process.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6324
unit: def _create_tokenizer()
file: official/nlp/modeling/layers/text_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6325
unit: def get_config()
file: official/nlp/modeling/layers/mat_mul_with_margin.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6326
unit: def _gather_beams()
file: official/nlp/modeling/ops/beam_search.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6327
unit: def sample_top_k()
file: official/nlp/modeling/ops/sampling_module.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6328
unit: def _random_int_from_range()
file: official/nlp/modeling/ops/segment_extractor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 6329
unit: def checkpoint_items()
file: official/nlp/modeling/models/bert_classifier.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6330
unit: def read_variable()
file: official/nlp/modeling/models/t5.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6331
unit: def unmask()
file: official/nlp/modeling/models/electra_pretrainer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6332
unit: def checkpoint_items()
file: official/nlp/modeling/models/xlnet.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6333
unit: def checkpoint_items()
file: official/nlp/modeling/models/bert_pretrainer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6334
unit: def get_test_examples()
file: official/nlp/data/tagging_data_lib.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6335
unit: def get_test_examples()
file: official/nlp/data/tagging_data_lib.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6336
unit: def _read_jsonl()
file: official/nlp/data/classifier_data_lib.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6337
unit: def __init__()
file: official/nlp/data/squad_lib.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6338
unit: def _is_start_piece()
file: official/nlp/data/create_xlnet_pretraining_data.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6339
unit: def __init__()
file: official/nlp/data/squad_lib_sp.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6340
unit: def __init__()
file: official/nlp/data/pretrain_dataloader.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6341
unit: def load()
file: official/nlp/data/pretrain_dataloader.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6342
unit: def _resource_apply_dense()
file: official/nlp/optimization.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6343
unit: def _resource_apply_sparse()
file: official/nlp/optimization.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6344
unit: def get_config()
file: official/nlp/optimization.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6345
unit: def bleu_tokenize()
file: official/nlp/metrics/bleu.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6346
unit: def call()
file: official/nlp/xlnet/xlnet_modeling.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6347
unit: def get_pretrainxlnet_model()
file: official/nlp/xlnet/run_pretrain.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6348
unit: def _get_permutation()
file: official/nlp/tools/tf1_bert_checkpoint_converter_lib.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6349
unit: def _metric_max_over_ground_truths()
file: official/nlp/tools/squad_evaluate_v1_1.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6350
unit: def _dont_assert()
file: official/nlp/tools/export_tfhub_lib.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6351
unit: def whitespace_tokenize()
file: official/nlp/tools/tokenization.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6352
unit: def __init__()
file: official/nlp/tools/tokenization.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6353
unit: def tokenize()
file: official/nlp/tools/tokenization.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6354
unit: def build_losses()
file: official/nlp/tasks/translation.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6355
unit: def metric_value()
file: orbit/actions/new_best_metric.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6356
unit: def _find_managed_files()
file: orbit/actions/export_saved_model.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6357
unit: def steps_per_second()
file: orbit/controller.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6358
unit: def __init__()
file: orbit/utils/epoch_helper.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6359
unit: def training()
file: research/vid2depth/ops/icp_train_demo.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6360
unit: def build_train_op()
file: research/vid2depth/model.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6361
unit: def make_intrinsics_matrix()
file: research/vid2depth/reader.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6362
unit: def load_image_raw()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6363
unit: def load_intrinsics()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6364
unit: def get_example_with_index()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6365
unit: def __init__()
file: research/efficient-hrl/context/samplers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 6

id: 6366
unit: def q_mult()
file: research/efficient-hrl/environments/ant.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6367
unit: def get_ori()
file: research/efficient-hrl/environments/ant.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6368
unit: def set_xy()
file: research/efficient-hrl/environments/ant.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6369
unit: def _join_scope()
file: research/efficient-hrl/utils/utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6370
unit: def merged_state()
file: research/efficient-hrl/agent.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6371
unit: def critic_function()
file: research/efficient-hrl/agent.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6372
unit: def add_noise_fn()
file: research/efficient-hrl/agent.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6373
unit: def get_trainable_vars()
file: research/efficient-hrl/agent.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6374
unit: def _batch_state()
file: research/efficient-hrl/agents/ddpg_agent.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6375
unit: def actor_net()
file: research/efficient-hrl/agents/ddpg_agent.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6376
unit: def target_critic_net()
file: research/efficient-hrl/agents/ddpg_agent.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6377
unit: def _validate_states()
file: research/efficient-hrl/agents/ddpg_agent.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6378
unit: def _validate_actions()
file: research/efficient-hrl/agents/ddpg_agent.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6379
unit: def cutout_numpy()
file: research/autoaugment/augmentation_transforms.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6380
unit: def pil_unwrap()
file: research/autoaugment/augmentation_transforms.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6381
unit: def _setup_misc()
file: research/autoaugment/train_cifar.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6382
unit: def _calc_num_trainable_params()
file: research/autoaugment/train_cifar.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6383
unit: def save_model()
file: research/autoaugment/train_cifar.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6384
unit: def unpickle()
file: research/autoaugment/data_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6385
unit: def decay_weights()
file: research/autoaugment/helper_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6386
unit: def get_lr()
file: research/autoaugment/helper_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6387
unit: void SetTensorProtoShape()
file: research/seq_flow_lite/tflite_ops/tf_tflite_diff_test_util.cc
start line: 52
end line: 57
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6388
unit: std::string LowerCaseUTF8WithSupportedUnicodes()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 171
end line: 176
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6389
unit: inline void SetTensorToDynamic()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 287
end line: 292
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6390
unit: def build()
file: research/seq_flow_lite/layers/quantization_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6391
unit: def call()
file: research/seq_flow_lite/layers/qrnn_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 6392
unit: def call()
file: research/seq_flow_lite/layers/qrnn_layers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6393
unit: bool Hasher::SupportedHashType()
file: research/seq_flow_lite/tf_ops/projection_util.cc
start line: 215
end line: 220
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6394
unit: std::vector SplitBySpace()
file: research/seq_flow_lite/tf_ops/projection_util.cc
start line: 372
end line: 377
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6395
unit: std::vector SplitByChar()
file: research/seq_flow_lite/tf_ops/projection_util.cc
start line: 401
end line: 406
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6396
unit: def __init__()
file: research/cvt_text/corpus_processing/minibatching.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6397
unit: def write_sentences()
file: research/cvt_text/preprocessing.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6398
unit: def __init__()
file: research/cvt_text/task_specific/word_level/word_level_scorer.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6399
unit: def get_dataset()
file: research/cvt_text/task_specific/word_level/word_level_data.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 2

id: 6400
unit: def __init__()
file: research/cvt_text/task_specific/task_definitions.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6401
unit: def __init__()
file: research/cvt_text/task_specific/task_definitions.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6402
unit: def write_summary()
file: research/cvt_text/training/trainer.py
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end line: 0
size: 6 LOC
McCabe index: 5
number of parameters: 3

id: 6403
unit: def _normalize()
file: research/adversarial_text/layers.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6404
unit: def __init__()
file: research/adversarial_text/data/data_utils.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6405
unit: def build_reverse_sequence()
file: research/adversarial_text/data/data_utils.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6406
unit: def build_bidirectional_seq()
file: research/adversarial_text/data/data_utils.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6407
unit: def _split_bidir_tokens()
file: research/adversarial_text/inputs.py
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size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6408
unit: def main()
file: research/adversarial_text/pretrain.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6409
unit: def _scale_l2()
file: research/adversarial_text/adversarial_losses.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6410
unit: def _CountPositives()
file: research/delf/delf/python/datasets/google_landmarks_dataset/metrics.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6411
unit: def NormalizePixelValues()
file: research/delf/delf/python/feature_extractor.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6412
unit: def get_standard_keras_models()
file: research/delf/delf/python/training/global_features_utils.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 0

id: 6413
unit: def init_classifiers()
file: research/delf/delf/python/training/model/delg_model.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6414
unit: def call()
file: research/delf/delf/python/pooling_layers/pooling.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6415
unit: def gem()
file: research/delf/delf/python/pooling_layers/pooling.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6416
unit: def _create_network()
file: research/rebar/rebar.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6417
unit: def _create_network()
file: research/rebar/rebar.py
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McCabe index: 2
number of parameters: 1

id: 6418
unit: def _create_loss()
file: research/rebar/rebar.py
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McCabe index: 1
number of parameters: 1

id: 6419
unit: def _create_network()
file: research/rebar/rebar.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6420
unit: std::string MobileSSDClient::GetLabelDisplayName()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 120
end line: 125
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6421
unit: std::string MobileSSDClient::GetLabelName()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
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end line: 132
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6422
unit: virtual void InitParams()
file: research/lstm_object_detection/tflite/mobile_ssd_client.h
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end line: 127
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6423
unit: def create_pipeline_proto_from_configs()
file: research/lstm_object_detection/utils/config_util.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6424
unit: def fixed_quantize_op()
file: research/lstm_object_detection/lstm/utils.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 5

id: 6425
unit: def _get_image_list()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6426
unit: def pose_to_vertex()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6427
unit: def step()
file: research/cognitive_planning/envs/task_env.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6428
unit: def preprocess_for_eval()
file: research/cognitive_planning/preprocessing/vgg_preprocessing.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6429
unit: def main()
file: research/cognitive_planning/train_supervised_active_vision.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6430
unit: def _decay()
file: research/cognitive_planning/embedders.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6431
unit: def __init__()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6432
unit: def eval()
file: research/pcl_rl/controller.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6433
unit: def seed_replay_buffer()
file: research/pcl_rl/controller.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6434
unit: def sample_step()
file: research/pcl_rl/policy.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6435
unit: def shift_values()
file: research/pcl_rl/objective.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6436
unit: def get_trust_region_p_opt()
file: research/pcl_rl/trainer.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6437
unit: def logp()
file: research/lfads/distributions.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6438
unit: def log_sum_exp()
file: research/lfads/utils.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6439
unit: def tensor_bxtxn_to_list_t_bxn()
file: research/lfads/utils.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6440
unit: def train()
file: research/lfads/run_lfads.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6441
unit: def get_training_hparams()
file: research/attention_ocr/python/train.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 0

id: 6442
unit: def create_random_image()
file: research/attention_ocr/python/datasets/unittest_utils.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6443
unit: def main()
file: research/attention_ocr/python/demo_inference.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6444
unit: def unroll_cell()
file: research/attention_ocr/python/sequence_layers.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6445
unit: def get_eval_input()
file: research/attention_ocr/python/sequence_layers.py
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size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6446
unit: def _dict_to_array()
file: research/attention_ocr/python/model.py
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size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6447
unit: def label_smoothing_regularization()
file: research/attention_ocr/python/model.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6448
unit: def apply_with_random_selector()
file: research/attention_ocr/python/inception_preprocessing.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6449
unit: def _image_tensor_input_placeholder()
file: research/object_detection/exporter.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6450
unit: def __init__()
file: research/object_detection/box_coders/faster_rcnn_box_coder.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6451
unit: def create_train_input_fn()
file: research/object_detection/inputs.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6452
unit: def modify_config()
file: research/object_detection/tpu_exporters/faster_rcnn.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6453
unit: def _safe_div()
file: research/object_detection/metrics/calibration_metrics.py
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size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6454
unit: def _ece_from_bins()
file: research/object_detection/metrics/calibration_metrics.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6455
unit: def write_metrics()
file: research/object_detection/metrics/offline_eval_map_corloc.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6456
unit: def dump_detections_to_json_file()
file: research/object_detection/metrics/coco_evaluation.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6457
unit: def dump_detections_to_json_file()
file: research/object_detection/metrics/coco_evaluation.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6458
unit: def clear()
file: research/object_detection/metrics/coco_evaluation.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6459
unit: def merge_boxes_and_masks()
file: research/object_detection/metrics/oid_challenge_evaluation_utils.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6460
unit: def _check_feature_extractor_exists()
file: research/object_detection/builders/model_builder.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6461
unit: def match()
file: research/object_detection/core/matcher.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6462
unit: def prune_small_boxes()
file: research/object_detection/core/box_list_ops.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6463
unit: def anchor_index_to_feature_map_index()
file: research/object_detection/core/anchor_generator.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6464
unit: def scale()
file: research/object_detection/core/densepose_ops.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6465
unit: def _flip_boxes_left_right()
file: research/object_detection/core/preprocessor.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6466
unit: def _flip_boxes_up_down()
file: research/object_detection/core/preprocessor.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6467
unit: def one_hot_encoding()
file: research/object_detection/core/preprocessor.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6468
unit: def _compute_loss()
file: research/object_detection/core/losses.py
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size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6469
unit: def scale()
file: research/object_detection/core/keypoint_ops.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6470
unit: def keypoints_to_enclosing_bounding_boxes()
file: research/object_detection/core/keypoint_ops.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6471
unit: def _create_classification_targets()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6472
unit: def _resize_masks()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6473
unit: def __init__()
file: research/object_detection/core/balanced_positive_negative_sampler.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 6474
unit: def create_hparams()
file: research/object_detection/model_hparams.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6475
unit: def concatenate()
file: research/object_detection/utils/np_box_mask_list_ops.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6476
unit: def image_from_numpy()
file: research/object_detection/utils/colab_utils.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6477
unit: def FormatFloat()
file: research/object_detection/utils/json_utils.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6478
unit: def PrettyParams()
file: research/object_detection/utils/json_utils.py
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size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6479
unit: def clear()
file: research/object_detection/utils/vrd_evaluation.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6480
unit: def retain_groundtruth_with_positive_classes()
file: research/object_detection/utils/ops.py
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size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6481
unit: def gather_with_padding_values()
file: research/object_detection/utils/ops.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6482
unit: def add_images()
file: research/object_detection/utils/visualization_utils.py
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end line: 0
size: 6 LOC
McCabe index: 5
number of parameters: 2

id: 6483
unit: def images_from_evaluation_dict()
file: research/object_detection/utils/visualization_utils.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6484
unit: def add_field()
file: research/object_detection/utils/np_box_list.py
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end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 3

id: 6485
unit: def _is_valid_boxes()
file: research/object_detection/utils/np_box_list.py
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end line: 0
size: 6 LOC
McCabe index: 5
number of parameters: 2

id: 6486
unit: def update_fine_tune_checkpoint_type()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6487
unit: def _update_num_classes()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6488
unit: def compute_recall_at_k()
file: research/object_detection/utils/metrics.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6489
unit: def save_categories_to_csv_file()
file: research/object_detection/utils/category_util.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6490
unit: def ioa()
file: research/object_detection/utils/np_mask_ops.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6491
unit: def get_filepath()
file: research/object_detection/model_lib_v2.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6492
unit: def _score_to_distance_map()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 6

id: 6493
unit: def preprocess()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6494
unit: def _postprocess_embeddings()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6495
unit: def anchors()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6496
unit: def _get_feature_map_spatial_dims()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6497
unit: def __init__()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6498
unit: def __init__()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6499
unit: def _build_arg_scope_with_hyperparams()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6500
unit: def anchors()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6501
unit: def crop_and_resize_instance_masks()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6502
unit: def get_true_shapes()
file: research/object_detection/exporter_lib_v2.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6503
unit: def _update_dict()
file: research/object_detection/dataset_tools/oid_hierarchical_labels_expansion.py
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end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6504
unit: def _close_on_exit()
file: research/object_detection/dataset_tools/create_ava_actions_tf_record.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6505
unit: def __init__()
file: research/object_detection/dataset_tools/context_rcnn/generate_detection_data.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6506
unit: def get_date_captured()
file: research/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6507
unit: def Activation()
file: research/object_detection/models/keras_models/resnet_v1.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6508
unit: def ReLU()
file: research/object_detection/models/keras_models/mobilenet_v1.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6509
unit: def MaxPooling2D()
file: research/object_detection/models/keras_models/inception_resnet_v2.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 4
number of parameters: 4

id: 6510
unit: def call()
file: research/object_detection/models/keras_models/hourglass_network.py
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McCabe index: 1
number of parameters: 2

id: 6511
unit: def ReLU()
file: research/object_detection/models/keras_models/mobilenet_v2.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 3

id: 6512
unit: def pnasnet_large_arg_scope_for_detection()
file: research/object_detection/models/ssd_pnasnet_feature_extractor.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6513
unit: def preprocess()
file: research/object_detection/models/ssd_resnet_v1_fpn_keras_feature_extractor.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6514
unit: def preprocess()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor.py
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end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6515
unit: def __init__()
file: research/object_detection/models/center_net_hourglass_feature_extractor.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 5

id: 6516
unit: def hourglass_10()
file: research/object_detection/models/center_net_hourglass_feature_extractor.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6517
unit: def hourglass_20()
file: research/object_detection/models/center_net_hourglass_feature_extractor.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6518
unit: def hourglass_32()
file: research/object_detection/models/center_net_hourglass_feature_extractor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6519
unit: def hourglass_52()
file: research/object_detection/models/center_net_hourglass_feature_extractor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6520
unit: def hourglass_104()
file: research/object_detection/models/center_net_hourglass_feature_extractor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6521
unit: def _filter_scaling()
file: research/object_detection/models/faster_rcnn_pnas_feature_extractor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6522
unit: def preprocess()
file: research/object_detection/models/faster_rcnn_resnet_v1_fpn_keras_feature_extractor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6523
unit: def preprocess()
file: research/object_detection/models/ssd_resnet_v1_ppn_feature_extractor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6524
unit: def preprocess()
file: research/object_detection/models/faster_rcnn_resnet_v1_feature_extractor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6525
unit: def preprocess()
file: research/object_detection/models/faster_rcnn_resnet_keras_feature_extractor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6526
unit: def _clean_up_temporary_files()
file: research/slim/datasets/download_and_convert_cifar10.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6527
unit: def decode_jpeg()
file: research/slim/datasets/download_and_convert_flowers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6528
unit: def _clean_up_temporary_files()
file: research/slim/datasets/download_and_convert_flowers.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6529
unit: def create_labels_file()
file: research/slim/datasets/download_and_convert_visualwakewords_lib.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6530
unit: def decode_jpeg()
file: research/slim/datasets/build_imagenet_data.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6531
unit: def _find_human_readable_labels()
file: research/slim/datasets/build_imagenet_data.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6532
unit: def _operation_to_filter_shape()
file: research/slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6533
unit: def inputs_device()
file: research/slim/deployment/model_deploy.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6534
unit: def wer()
file: research/deep_speech/decoder.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 3

id: 6535
unit: def decode_image()
file: research/deeplab/datasets/build_data.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6536
unit: def _combine_unused_states()
file: research/deeplab/core/nas_cell.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 2

id: 6537
unit: def _preprocess_subtract_imagenet_mean()
file: research/deeplab/core/feature_extractor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 2

id: 6538
unit: def mean_pixel()
file: research/deeplab/core/feature_extractor.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6539
unit: def resnet_v1_small_beta_block()
file: research/deeplab/core/resnet_v1_beta.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 4

id: 6540
unit: def result()
file: research/deeplab/evaluation/parsing_covering.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6541
unit: def _valid_categories()
file: research/deeplab/evaluation/panoptic_quality.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 3
number of parameters: 1

id: 6542
unit: def result_per_category()
file: research/deeplab/evaluation/panoptic_quality.py
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end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 1

id: 6543
unit: def result()
file: research/deeplab/evaluation/panoptic_quality.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 2
number of parameters: 1

id: 6544
unit: def _category_and_instance_from_annotation()
file: research/deeplab/evaluation/eval_coco_format.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 4

id: 6545
unit: def __deepcopy__()
file: research/deeplab/common.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6546
unit: def frame()
file: research/audioset/vggish/mel_features.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 3

id: 6547
unit: def __init__()
file: research/audioset/vggish/vggish_export_tfhub.py
start line: 0
end line: 0
size: 6 LOC
McCabe index: 1
number of parameters: 2

id: 6548
unit: def _set()
file: official/modeling/hyperparams/params_dict.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6549
unit: def replace()
file: official/modeling/hyperparams/base_config.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6550
unit: def from_args()
file: official/modeling/hyperparams/base_config.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6551
unit: def register_optimizer_cls()
file: official/modeling/optimization/optimizer_factory.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6552
unit: def train_loop_end()
file: official/modeling/multitask/interleaving_trainer.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6553
unit: def create_optimizer()
file: official/modeling/multitask/multitask.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6554
unit: def _pad_strides()
file: official/vision/beta/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6555
unit: def call()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6556
unit: def call()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6557
unit: def call()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6558
unit: def __init__()
file: official/vision/beta/modeling/layers/nn_layers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6559
unit: def build_resnet3d()
file: official/vision/beta/modeling/backbones/resnet_3d.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6560
unit: def build_resnet3d_rs()
file: official/vision/beta/modeling/backbones/resnet_3d.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6561
unit: def _get_divisible_by()
file: official/vision/beta/modeling/backbones/mobilenet.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6562
unit: def build_mobilenet()
file: official/vision/beta/modeling/backbones/mobilenet.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6563
unit: def build_mobiledet()
file: official/vision/beta/modeling/backbones/mobiledet.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6564
unit: def build_identity()
file: official/vision/beta/modeling/decoders/factory.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6565
unit: def encode_caption_annotations()
file: official/vision/beta/data/create_coco_tf_record.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6566
unit: def encode_mask_as_png()
file: official/vision/beta/data/tfrecord_lib.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6567
unit: def _read_decode_and_parse_dataset()
file: official/vision/beta/dataloaders/input_reader.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6568
unit: def add_feature()
file: official/vision/beta/dataloaders/video_input.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6569
unit: def add_context()
file: official/vision/beta/dataloaders/video_input.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6570
unit: def __init__()
file: official/vision/beta/dataloaders/video_input.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6571
unit: def encode_image()
file: official/vision/beta/dataloaders/tfexample_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6572
unit: def put_float_list_to_feature()
file: official/vision/beta/dataloaders/tfexample_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6573
unit: def _encode_image()
file: official/vision/beta/dataloaders/tfexample_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6574
unit: def _saturation()
file: official/vision/beta/ops/preprocess_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6575
unit: def top_k_boxes()
file: official/vision/beta/ops/box_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6576
unit: def wrap()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6577
unit: def _shrink_level_to_arg()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6578
unit: def _check_policy_shape()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6579
unit: def policy_test()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6580
unit: def distort()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6581
unit: def area()
file: official/vision/beta/ops/iou_similarity.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6582
unit: def reset()
file: official/vision/beta/evaluation/panoptic_quality.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6583
unit: def call()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6584
unit: def _apply_blocks()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6585
unit: def serve_image_and_boxes()
file: official/vision/beta/projects/deepmac_maskrcnn/serving/detection.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6586
unit: def _apply_blocks()
file: official/vision/beta/projects/centernet/modeling/layers/cn_nn_blocks.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6587
unit: def call()
file: official/vision/beta/projects/centernet/modeling/layers/cn_nn_blocks.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6588
unit: def convert_strided_predictions_to_normalized_boxes()
file: official/vision/beta/projects/centernet/modeling/layers/detection_generator.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6589
unit: def area()
file: official/vision/beta/projects/centernet/ops/box_list_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6590
unit: def height_width()
file: official/vision/beta/projects/centernet/ops/box_list_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6591
unit: def _get_dim_as_int()
file: official/vision/beta/projects/centernet/ops/box_list.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6592
unit: def transpose_coordinates()
file: official/vision/beta/projects/centernet/ops/box_list.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6593
unit: def _augment_only_rgb_channels()
file: official/vision/beta/projects/centernet/ops/preprocess_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6594
unit: def cartesian_product()
file: official/vision/beta/projects/centernet/ops/target_assigner.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6595
unit: def print_layer_weights_and_shape()
file: official/vision/beta/projects/centernet/utils/checkpoints/read_checkpoints.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6596
unit: def get_backbone_layer_cfgs()
file: official/vision/beta/projects/centernet/utils/checkpoints/load_weights.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6597
unit: def __init__()
file: official/vision/beta/projects/centernet/losses/centernet_losses.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6598
unit: def build_example_model()
file: official/vision/beta/projects/example/example_model.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6599
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6600
unit: def __init__()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6601
unit: def _convert_csp()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6602
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6603
unit: def build_block_specs()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6604
unit: def __init__()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6605
unit: def get_model_config()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6606
unit: def build_darknet()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6607
unit: def call()
file: official/vision/beta/projects/yolo/modeling/heads/yolo_head.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6608
unit: def num_boxes()
file: official/vision/beta/projects/yolo/modeling/heads/yolo_head.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6609
unit: def get_raw_depths()
file: official/vision/beta/projects/yolo/modeling/decoders/yolo_decoder.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6610
unit: def _select_ind()
file: official/vision/beta/projects/yolo/ops/mosaic.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6611
unit: def mosaic_fn()
file: official/vision/beta/projects/yolo/ops/mosaic.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6612
unit: def compute_iou()
file: official/vision/beta/projects/yolo/ops/box_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6613
unit: def rm_nan_inf()
file: official/vision/beta/projects/yolo/ops/math_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6614
unit: def rm_nan()
file: official/vision/beta/projects/yolo/ops/math_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6615
unit: def __init__()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6616
unit: def _create_slots()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 5
number of parameters: 2

id: 6617
unit: def add_ema()
file: official/vision/beta/projects/yolo/optimization/optimizer_factory.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6618
unit: def __init__()
file: official/vision/beta/projects/yolo/tasks/task_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6619
unit: def update_state()
file: official/vision/beta/projects/yolo/tasks/task_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6620
unit: def reset_states()
file: official/vision/beta/projects/yolo/tasks/task_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6621
unit: def grad_sigmoid()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6622
unit: def random_brightness()
file: official/vision/beta/projects/video_ssl/ops/video_ssl_preprocess_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6623
unit: def to_grayscale()
file: official/vision/beta/projects/video_ssl/ops/video_ssl_preprocess_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6624
unit: def process_metrics()
file: official/vision/beta/projects/video_ssl/tasks/pretrain.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6625
unit: def random_apply()
file: official/vision/beta/projects/simclr/dataloaders/preprocess_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6626
unit: def to_grayscale()
file: official/vision/beta/projects/simclr/dataloaders/preprocess_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6627
unit: def random_crop_with_resize()
file: official/vision/beta/projects/simclr/dataloaders/preprocess_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6628
unit: def _get_num_test_views()
file: official/vision/beta/tasks/video_classification.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6629
unit: def _get_dataset_fn()
file: official/vision/beta/tasks/video_classification.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6630
unit: def serve()
file: official/vision/beta/serving/export_base_v2.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6631
unit: def match()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 4

id: 6632
unit: def area()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6633
unit: def height_width()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6634
unit: def ioa()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6635
unit: def compare()
file: official/vision/utils/object_detection/region_similarity_calculator.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 4

id: 6636
unit: def _resize_original_image()
file: official/vision/utils/object_detection/visualization_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6637
unit: def _reset_target_shape()
file: official/vision/utils/object_detection/target_assigner.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6638
unit: def _create_classification_targets()
file: official/vision/utils/object_detection/target_assigner.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6639
unit: def _create_classification_weights()
file: official/vision/utils/object_detection/target_assigner.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6640
unit: def _decode_and_parse_dataset()
file: official/core/input_reader.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6641
unit: def _shuffle_and_decode()
file: official/core/input_reader.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6642
unit: def _maybe_load_best_eval_metric()
file: official/core/train_utils.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6643
unit: def parse_config_file()
file: official/core/train_utils.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6644
unit: def parse_params_override()
file: official/core/train_utils.py
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end line: 0
size: 5 LOC
McCabe index: 5
number of parameters: 2

id: 6645
unit: def optimizer()
file: official/core/base_trainer.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6646
unit: def __init__()
file: official/core/actions.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6647
unit: def define_gin_flags()
file: official/utils/hyperparams_flags.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6648
unit: def register_key_flags_in_core()
file: official/utils/flags/core.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6649
unit: def apply_clean()
file: official/utils/misc/model_helpers.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6650
unit: def get_examples_per_sec()
file: official/utils/misc/keras_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6651
unit: def on_epoch_end()
file: official/utils/misc/keras_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6652
unit: def generate_data()
file: official/recommendation/create_ncf_data.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6653
unit: def current_data_root()
file: official/recommendation/data_pipeline.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6654
unit: def __init__()
file: official/recommendation/data_pipeline.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6655
unit: def __init__()
file: official/recommendation/ncf_keras_main.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6656
unit: def __init__()
file: official/recommendation/ncf_keras_main.py
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size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6657
unit: def on_epoch_end()
file: official/recommendation/ncf_keras_main.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 3

id: 6658
unit: def download()
file: official/recommendation/movielens.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6659
unit: def call()
file: official/projects/vit/modeling/vit.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6660
unit: def _build_backbone()
file: official/projects/movinet/modeling/movinet_model.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6661
unit: def _build_network()
file: official/projects/movinet/modeling/movinet_model.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6662
unit: def __init__()
file: official/projects/yt8m/dataloaders/yt8m_input.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6663
unit: def _zero_one_normalize()
file: official/projects/yt8m/eval_utils/average_precision_calculator.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6664
unit: def top_k_triplets()
file: official/projects/yt8m/eval_utils/eval_util.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6665
unit: def call()
file: official/projects/basnet/modeling/nn_blocks.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6666
unit: def num_steps()
file: official/projects/mobilebert/distillation.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6667
unit: def _has_exclude_patterns()
file: official/projects/mobilebert/tf2_model_checkpoint_converter.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6668
unit: def read_sentencepiece_model()
file: official/projects/triviaqa/predict.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6669
unit: def has_exact_match()
file: official/projects/triviaqa/evaluation.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6670
unit: def read_sentencepiece_model()
file: official/projects/triviaqa/train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6671
unit: def read_sentencepiece_model()
file: official/projects/triviaqa/preprocess.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6672
unit: def build_assemblenet_v1()
file: official/projects/assemblenet/modeling/assemblenet.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6673
unit: def build_assemblenet_plus()
file: official/projects/assemblenet/modeling/assemblenet_plus.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6674
unit: def common_layers_with_encoder()
file: official/projects/detr/modeling/transformer.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6675
unit: def __init__()
file: official/projects/nhnet/optimizer.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6676
unit: def __init__()
file: official/projects/nhnet/models.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6677
unit: def _parse_train_data()
file: official/projects/volumetric_models/dataloaders/segmentation_input_3d.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6678
unit: def _parse_eval_data()
file: official/projects/volumetric_models/dataloaders/segmentation_input_3d.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6679
unit: def validation_step()
file: official/projects/volumetric_models/tasks/semantic_segmentation_3d.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6680
unit: def aggregate_logs()
file: official/projects/volumetric_models/tasks/semantic_segmentation_3d.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6681
unit: def build_inputs()
file: official/projects/text_classification_example/classification_example.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6682
unit: def mb_conv_block()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6683
unit: def get_config()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6684
unit: def _add_wsm()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 3

id: 6685
unit: def __init__()
file: official/projects/edgetpu/nlp/modeling/edgetpu_layers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6686
unit: def eval_step()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6687
unit: def eval_end()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6688
unit: def __init__()
file: official/legacy/detection/modeling/architecture/spinenet.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6689
unit: def build_block_specs()
file: official/legacy/detection/modeling/architecture/spinenet.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6690
unit: def __init__()
file: official/legacy/detection/ops/postprocess_ops.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6691
unit: def __init__()
file: official/legacy/detection/evaluation/coco_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6692
unit: def resize_and_crop_boxes()
file: official/legacy/detection/utils/input_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 4

id: 6693
unit: def __init__()
file: official/legacy/transformer/transformer.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6694
unit: def __init__()
file: official/legacy/transformer/ffn_layer.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6695
unit: def get_config()
file: official/legacy/transformer/embedding_layer.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6696
unit: def _embedding()
file: official/legacy/transformer/embedding_layer.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6697
unit: def _convert_to_eval_metric()
file: official/legacy/transformer/utils/metrics.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6698
unit: def rouge_l_fscore()
file: official/legacy/transformer/utils/metrics.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6699
unit: def native_to_unicode()
file: official/legacy/transformer/utils/tokenizer.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6700
unit: def _unicode_to_native()
file: official/legacy/transformer/utils/tokenizer.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6701
unit: def _escape_token()
file: official/legacy/transformer/utils/tokenizer.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 4
number of parameters: 2

id: 6702
unit: def dict_to_example()
file: official/legacy/transformer/data_download.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6703
unit: def all_exist()
file: official/legacy/transformer/data_download.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6704
unit: def __init__()
file: official/legacy/transformer/compute_bleu.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6705
unit: def property_chars()
file: official/legacy/transformer/compute_bleu.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6706
unit: def __init__()
file: official/legacy/albert/configs.py
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end line: 0
size: 5 LOC
McCabe index: 5
number of parameters: 4

id: 6707
unit: def from_dict()
file: official/legacy/albert/configs.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6708
unit: def from_dict()
file: official/legacy/bert/configs.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6709
unit: def _get_input_iterator()
file: official/legacy/bert/model_training_utils.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6710
unit: def __init__()
file: official/legacy/bert/serving.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6711
unit: def mean_image_subtraction()
file: official/legacy/image_classification/preprocessing.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6712
unit: def standardize_image()
file: official/legacy/image_classification/preprocessing.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6713
unit: def batch_size()
file: official/legacy/image_classification/dataset_factory.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6714
unit: def local_batch_size()
file: official/legacy/image_classification/dataset_factory.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6715
unit: def image_size()
file: official/legacy/image_classification/dataset_factory.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6716
unit: def num_channels()
file: official/legacy/image_classification/dataset_factory.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6717
unit: def num_examples()
file: official/legacy/image_classification/dataset_factory.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6718
unit: def num_classes()
file: official/legacy/image_classification/dataset_factory.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6719
unit: def set_cudnn_batchnorm_mode()
file: official/legacy/image_classification/resnet/common.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 0

id: 6720
unit: def train_loop_begin()
file: official/legacy/image_classification/resnet/resnet_runnable.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6721
unit: def eval_end()
file: official/legacy/image_classification/resnet/resnet_runnable.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6722
unit: def _aspect_preserving_resize()
file: official/legacy/image_classification/resnet/imagenet_preprocessing.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6723
unit: def _resize_image()
file: official/legacy/image_classification/resnet/imagenet_preprocessing.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6724
unit: def serialize_config()
file: official/legacy/image_classification/classifier_trainer.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6725
unit: def wrap()
file: official/legacy/image_classification/augment.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6726
unit: def _shrink_level_to_arg()
file: official/legacy/image_classification/augment.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6727
unit: def policy_test()
file: official/legacy/image_classification/augment.py
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size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6728
unit: def _get_base_optimizer()
file: official/legacy/image_classification/callbacks.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6729
unit: def set_model()
file: official/legacy/image_classification/callbacks.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6730
unit: def set_model()
file: official/legacy/image_classification/callbacks.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6731
unit: def common_layers_with_encoder()
file: official/nlp/modeling/layers/transformer.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6732
unit: def __init__()
file: official/nlp/modeling/layers/relative_attention.py
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size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6733
unit: def expand_to_beam_size()
file: official/nlp/modeling/ops/beam_search.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6734
unit: def flatten_beam_dim()
file: official/nlp/modeling/ops/beam_search.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6735
unit: def _finished_flags()
file: official/nlp/modeling/ops/sampling_module.py
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size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6736
unit: def __init__()
file: official/nlp/modeling/ops/decoding_module.py
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size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6737
unit: def _create_initial_state()
file: official/nlp/modeling/ops/decoding_module.py
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size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6738
unit: def __init__()
file: official/nlp/modeling/networks/xlnet_base.py
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size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6739
unit: def call()
file: official/nlp/modeling/networks/packed_sequence_embedding.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6740
unit: def _get_policy_dtype()
file: official/nlp/modeling/networks/funnel_transformer.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 0

id: 6741
unit: def _adjust_labels()
file: official/nlp/modeling/losses/weighted_sparse_categorical_crossentropy.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6742
unit: def attend()
file: official/nlp/modeling/models/t5.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6743
unit: def get_labels()
file: official/nlp/data/tagging_data_lib.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6744
unit: def get_dev_examples()
file: official/nlp/data/classifier_data_lib.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6745
unit: def get_dev_examples()
file: official/nlp/data/classifier_data_lib.py
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size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6746
unit: def get_test_examples()
file: official/nlp/data/classifier_data_lib.py
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McCabe index: 2
number of parameters: 2

id: 6747
unit: def __init__()
file: official/nlp/data/classifier_data_lib.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6748
unit: def __init__()
file: official/nlp/data/question_answering_dataloader.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6749
unit: def _contiguous()
file: official/nlp/data/create_pretraining_data.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6750
unit: def _prepare_local()
file: official/nlp/optimization.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6751
unit: def __init__()
file: official/nlp/metrics/bleu.py
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McCabe index: 1
number of parameters: 1

id: 6752
unit: def property_chars()
file: official/nlp/metrics/bleu.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6753
unit: def __init__()
file: official/nlp/xlnet/xlnet_modeling.py
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size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6754
unit: def __init__()
file: official/nlp/xlnet/xlnet_modeling.py
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McCabe index: 1
number of parameters: 5

id: 6755
unit: def call()
file: official/nlp/xlnet/xlnet_modeling.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6756
unit: def __init__()
file: official/nlp/xlnet/squad_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6757
unit: def __init__()
file: official/nlp/xlnet/preprocess_classification_data.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6758
unit: def __init__()
file: official/nlp/xlnet/preprocess_classification_data.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6759
unit: def main()
file: official/nlp/xlnet/preprocess_squad_data.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6760
unit: def _save_checkpoint()
file: official/nlp/xlnet/training_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6761
unit: def _has_exclude_patterns()
file: official/nlp/tools/tf1_bert_checkpoint_converter_lib.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6762
unit: def _create_model()
file: official/nlp/tools/export_tfhub_lib.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6763
unit: def convert_by_vocab()
file: official/nlp/tools/tokenization.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6764
unit: def lookup_export_module()
file: official/nlp/serving/export_savedmodel.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6765
unit: def commit()
file: orbit/actions/new_best_metric.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6766
unit: def clean_up()
file: orbit/actions/export_saved_model.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6767
unit: def _require()
file: orbit/controller.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6768
unit: def __get__()
file: orbit/utils/tpu_summaries.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6769
unit: def placeholder_inputs()
file: research/vid2depth/ops/icp_train_demo.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6770
unit: def _gray2rgb()
file: research/vid2depth/inference.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6771
unit: def build_train_graph()
file: research/vid2depth/model.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6772
unit: def read_text_lines()
file: research/vid2depth/util.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6773
unit: def get_example_with_index()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6774
unit: def load_intrinsics()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6775
unit: def get_example_with_index()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6776
unit: def get_example_with_index()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6777
unit: def load_image()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6778
unit: def get_seq_start_end()
file: research/vid2depth/dataset/dataset_loader.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6779
unit: def __init__()
file: research/efficient-hrl/context/samplers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6780
unit: def index_states()
file: research/efficient-hrl/context/rewards_functions.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6781
unit: def record_tensor()
file: research/efficient-hrl/context/rewards_functions.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 4

id: 6782
unit: def gin_sparse_array()
file: research/efficient-hrl/context/gin_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6783
unit: def gin_sum()
file: research/efficient-hrl/context/gin_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6784
unit: def create_counter_summaries()
file: research/efficient-hrl/train_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6785
unit: def physics()
file: research/efficient-hrl/environments/ant.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 5
number of parameters: 1

id: 6786
unit: def observation_space()
file: research/efficient-hrl/environments/maze_env.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6787
unit: def physics()
file: research/efficient-hrl/environments/point.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 5
number of parameters: 1

id: 6788
unit: def set_xy()
file: research/efficient-hrl/environments/point.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6789
unit: def __init__()
file: research/efficient-hrl/run_env.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6790
unit: def get_all_vars()
file: research/efficient-hrl/utils/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 5
number of parameters: 1

id: 6791
unit: def tile()
file: research/efficient-hrl/utils/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6792
unit: def env_transition()
file: research/efficient-hrl/cond_fn.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 6

id: 6793
unit: def env_restart()
file: research/efficient-hrl/cond_fn.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 6

id: 6794
unit: def true_fn()
file: research/efficient-hrl/cond_fn.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 6

id: 6795
unit: def false_fn()
file: research/efficient-hrl/cond_fn.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 6

id: 6796
unit: def critic_net()
file: research/efficient-hrl/agents/ddpg_agent.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6797
unit: def _rotate_impl()
file: research/autoaugment/augmentation_transforms.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6798
unit: def _shear_x_impl()
file: research/autoaugment/augmentation_transforms.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6799
unit: def _shear_y_impl()
file: research/autoaugment/augmentation_transforms.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6800
unit: def _translate_x_impl()
file: research/autoaugment/augmentation_transforms.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6801
unit: def _translate_y_impl()
file: research/autoaugment/augmentation_transforms.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6802
unit: def _enhancer_impl()
file: research/autoaugment/augmentation_transforms.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6803
unit: def zero_pad()
file: research/autoaugment/custom_ops.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6804
unit: def setup_loss()
file: research/autoaugment/helper_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6805
unit: void WordNoveltyFeature()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 144
end line: 148
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6806
unit: void DocSizeFeature()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 161
end line: 165
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6807
unit: std::string PreprocessToken()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 280
end line: 284
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6808
unit: TfLiteStatus Resize()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 382
end line: 386
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6809
unit: inline float PodDequantizeValue()
file: research/seq_flow_lite/tflite_ops/quantization_util.h
start line: 26
end line: 30
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6810
unit: def add_reg_loss()
file: research/seq_flow_lite/layers/base_layers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6811
unit: def call()
file: research/seq_flow_lite/layers/normalization_layers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6812
unit: def quantize_using_range()
file: research/seq_flow_lite/layers/quantization_layers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6813
unit: def __init__()
file: research/seq_flow_lite/layers/misc_layers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 4
number of parameters: 3

id: 6814
unit: def _conv_r3()
file: research/seq_flow_lite/layers/conv_layers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6815
unit: def civil_comments()
file: research/seq_flow_lite/input_fn_reader.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6816
unit: void ProjectionTokenizer::InitializeSeparators()
file: research/seq_flow_lite/tf_ops/projection_tokenizer_util.cc
start line: 40
end line: 44
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6817
unit: inline uint64_t MurmurStep()
file: research/seq_flow_lite/tf_ops/projection_util.cc
start line: 56
end line: 60
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6818
unit: explicit ProjectionNormalizer()
file: research/seq_flow_lite/tf_ops/projection_normalizer_util.h
start line: 31
end line: 35
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6819
unit: explicit ProjectionUnicodeHandler()
file: research/seq_flow_lite/tf_ops/projection_util.h
start line: 93
end line: 97
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6820
unit: def model_fn_builder()
file: research/seq_flow_lite/trainer_v2.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6821
unit: def preprocess()
file: research/seq_flow_lite/models/sgnn/sgnn.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6822
unit: def get_config()
file: research/seq_flow_lite/models/sgnn/sgnn.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6823
unit: def _apply_fc_dropout()
file: research/seq_flow_lite/models/prado.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 5

id: 6824
unit: def get_results()
file: research/cvt_text/corpus_processing/scorer.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6825
unit: def __init__()
file: research/cvt_text/corpus_processing/unlabeled_data.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6826
unit: def endless_minibatches()
file: research/cvt_text/corpus_processing/unlabeled_data.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6827
unit: def get_scorer()
file: research/cvt_text/task_specific/task_definitions.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6828
unit: def test()
file: research/cvt_text/model/multitask_model.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6829
unit: def heading()
file: research/cvt_text/base/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6830
unit: def write()
file: research/cvt_text/base/configure.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6831
unit: def get_char_vocab()
file: research/cvt_text/base/embeddings.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 0

id: 6832
unit: def _punctuation_ids()
file: research/cvt_text/base/embeddings.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6833
unit: def __init__()
file: research/cvt_text/base/embeddings.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6834
unit: def accuracy()
file: research/adversarial_text/layers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6835
unit: def set_token()
file: research/adversarial_text/data/data_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6836
unit: def _fill_with_defaults()
file: research/adversarial_text/data/data_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6837
unit: def __init__()
file: research/adversarial_text/data/data_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6838
unit: def get_model()
file: research/adversarial_text/graphs.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 0

id: 6839
unit: def optimize()
file: research/adversarial_text/graphs.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6840
unit: def random_perturbation_loss_bidir()
file: research/adversarial_text/adversarial_losses.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 5
number of parameters: 3

id: 6841
unit: def _mask_by_length()
file: research/adversarial_text/adversarial_losses.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6842
unit: def ArraysToDatumPair()
file: research/delf/delf/python/datum_io.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6843
unit: def NormalizeImages()
file: research/delf/delf/python/datasets/google_landmarks_dataset/googlelandmarks.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6844
unit: def _ParseGroundTruth()
file: research/delf/delf/python/datasets/revisited_op/dataset.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6845
unit: def _ParsePrRanks()
file: research/delf/delf/python/datasets/revisited_op/dataset.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6846
unit: def CalculateKeypointCenters()
file: research/delf/delf/python/feature_extractor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6847
unit: def DelfFeaturePostProcessing()
file: research/delf/delf/python/feature_extractor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6848
unit: def _ReadImageList()
file: research/delf/delf/python/delg/measure_latency.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6849
unit: def launch_tensorboard()
file: research/delf/delf/python/training/tensorboard_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6850
unit: def _shuffle_by_columns()
file: research/delf/delf/python/training/build_image_dataset.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6851
unit: def reset()
file: research/delf/delf/python/training/global_features_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6852
unit: def update()
file: research/delf/delf/python/training/global_features_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6853
unit: def cov()
file: research/rebar/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6854
unit: def partial_grad()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6855
unit: def _random_sample_switch()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 6

id: 6856
unit: def _random_sample_switch_v()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 6

id: 6857
unit: def compute_gradient_moments()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6858
unit: def _get_context_from_op()
file: research/lstm_object_detection/builders/graph_rewriter_builder.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6859
unit: bool MobileLSTDTfLiteClient::ComputeOutputLayerCount()
file: research/lstm_object_detection/tflite/mobile_lstd_tflite_client.cc
start line: 165
end line: 171
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6860
unit: bool MobileSSDClient::NoPostProcessNoAnchors()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 103
end line: 107
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6861
unit: bool MobileSSDTfLiteClient::IsQuantizedModel()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 236
end line: 240
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6862
unit: def select_state()
file: research/lstm_object_detection/lstm/rnn_decoder.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6863
unit: def gt_value()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6864
unit: def _reset_env()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6865
unit: def reset()
file: research/cognitive_planning/envs/task_env.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6866
unit: def apply_with_random_selector()
file: research/cognitive_planning/preprocessing/inception_preprocessing.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6867
unit: def create_task_io_config()
file: research/cognitive_planning/train_supervised_active_vision.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6868
unit: def create_category_index()
file: research/cognitive_planning/label_map_util.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6869
unit: def create_category_index_from_labelmap()
file: research/cognitive_planning/label_map_util.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6870
unit: def __init__()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6871
unit: def flatgrad()
file: research/pcl_rl/optimizers.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6872
unit: def __init__()
file: research/pcl_rl/replay_buffer.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6873
unit: def get_batch()
file: research/pcl_rl/replay_buffer.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6874
unit: def flatgrad()
file: research/pcl_rl/trust_region.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6875
unit: def sample_step()
file: research/pcl_rl/policy.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6876
unit: def get()
file: research/pcl_rl/objective.py
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end line: 0
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id: 6877
unit: def get_space()
file: research/pcl_rl/env_spec.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6878
unit: def get_spaces()
file: research/pcl_rl/env_spec.py
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end line: 0
size: 5 LOC
McCabe index: 4
number of parameters: 1

id: 6879
unit: def convert_obs_to_list()
file: research/pcl_rl/env_spec.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6880
unit: def call()
file: research/lfads/synth_data/generate_itb_data.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6881
unit: def __getattr__()
file: research/lfads/run_lfads.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6882
unit: def calculate_graph_metrics()
file: research/attention_ocr/python/train.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6883
unit: def __init__()
file: research/attention_ocr/python/datasets/fsns.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6884
unit: def get_crop_size()
file: research/attention_ocr/python/common_flags.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 0

id: 6885
unit: def char_logit()
file: research/attention_ocr/python/sequence_layers.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6886
unit: def get_input()
file: research/attention_ocr/python/sequence_layers.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6887
unit: def get_train_input()
file: research/attention_ocr/python/sequence_layers.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6888
unit: def lookup_indexed_value()
file: research/attention_ocr/python/model.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6889
unit: def create_loss()
file: research/attention_ocr/python/model.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 3

id: 6890
unit: def ConvertAllInputsToTensors()
file: research/attention_ocr/python/utils.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6891
unit: def build_tensor_info()
file: research/attention_ocr/python/model_export_lib.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6892
unit: def main()
file: research/attention_ocr/python/model_export.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6893
unit: def tensors_to_item()
file: research/object_detection/data_decoders/tf_example_decoder.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6894
unit: def _keypoint_text_handle()
file: research/object_detection/data_decoders/tf_example_decoder.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6895
unit: def _side_input_tensor_placeholder()
file: research/object_detection/exporter.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6896
unit: def create_eval_input_fn()
file: research/object_detection/inputs.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6897
unit: def bfloat16_to_float32()
file: research/object_detection/tpu_exporters/utils.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6898
unit: def parse()
file: research/object_detection/metrics/tf_example_parser.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6899
unit: def parse()
file: research/object_detection/metrics/tf_example_parser.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6900
unit: def __init__()
file: research/object_detection/metrics/tf_example_parser.py
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size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6901
unit: def _generate_filenames()
file: research/object_detection/metrics/offline_eval_map_corloc.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6902
unit: def clear()
file: research/object_detection/metrics/coco_evaluation.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6903
unit: def evaluate()
file: research/object_detection/metrics/coco_evaluation.py
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end line: 0
size: 5 LOC
McCabe index: 4
number of parameters: 1

id: 6904
unit: def __init__()
file: research/object_detection/metrics/lvis_tools.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6905
unit: def ComputeMetrics()
file: research/object_detection/metrics/lvis_tools.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6906
unit: def build_activation_layer()
file: research/object_detection/builders/hyperparams_builder.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6907
unit: def build()
file: research/object_detection/builders/optimizer_builder.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6908
unit: def _get_step_config_from_proto()
file: research/object_detection/builders/preprocessor_builder.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6909
unit: def _get_dict_from_proto()
file: research/object_detection/builders/preprocessor_builder.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6910
unit: def area()
file: research/object_detection/core/box_list_ops.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6911
unit: def height_width()
file: research/object_detection/core/box_list_ops.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6912
unit: def ioa()
file: research/object_detection/core/box_list_ops.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6913
unit: def transpose_coordinates()
file: research/object_detection/core/box_list.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6914
unit: def __init__()
file: research/object_detection/core/model.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6915
unit: def groundtruth_lists()
file: research/object_detection/core/model.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6916
unit: def _augment_only_rgb_channels()
file: research/object_detection/core/preprocessor.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6917
unit: def _get_image_info()
file: research/object_detection/core/preprocessor.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6918
unit: def convert_class_logits_to_softmax()
file: research/object_detection/core/preprocessor.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6919
unit: def _compute_loss()
file: research/object_detection/core/losses.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6920
unit: def __init__()
file: research/object_detection/core/losses.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6921
unit: def _reset_target_shape()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6922
unit: def _get_keypoint_types()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6923
unit: def filter_mask_overlap()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6924
unit: def _set_dim_0()
file: research/object_detection/utils/shape_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6925
unit: def clip_tensor()
file: research/object_detection/utils/shape_utils.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6926
unit: def sort_by_field()
file: research/object_detection/utils/np_box_mask_list_ops.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6927
unit: def Dumps()
file: research/object_detection/utils/json_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6928
unit: def policy_vtest()
file: research/object_detection/utils/autoaugment_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6929
unit: def box_grid_coordinate_vectors()
file: research/object_detection/utils/spatial_transform_ops.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6930
unit: def decode_image()
file: research/object_detection/utils/ops.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6931
unit: def merge_internal_state()
file: research/object_detection/utils/object_detection_evaluation.py
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end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 3

id: 6932
unit: def get_internal_state()
file: research/object_detection/utils/object_detection_evaluation.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6933
unit: def create_category_index()
file: research/object_detection/utils/label_map_util.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6934
unit: def create_categories_from_labelmap()
file: research/object_detection/utils/label_map_util.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6935
unit: def get_max_num_context_features()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6936
unit: def get_context_feature_length()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6937
unit: def get_graph_rewriter_config_from_file()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6938
unit: def _update_retain_original_image_additional_channels()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6939
unit: def get_dim_as_int()
file: research/object_detection/utils/static_shape.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6940
unit: def _learning_rate_return_value()
file: research/object_detection/utils/learning_schedules.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6941
unit: def compute_cor_loc()
file: research/object_detection/utils/metrics.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6942
unit: def _combine_attention()
file: research/object_detection/utils/bifpn_utils.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6943
unit: def __exit__()
file: research/object_detection/utils/context_manager.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 4

id: 6944
unit: def reduce_dict()
file: research/object_detection/model_lib_v2.py
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end line: 0
size: 5 LOC
McCabe index: 4
number of parameters: 3

id: 6945
unit: def concat_replica_results()
file: research/object_detection/model_lib_v2.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6946
unit: def __new__()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6947
unit: def get_num_instances_from_weights()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6948
unit: def batched_prediction_tensor_names()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6949
unit: def batched_prediction_tensor_names()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6950
unit: def preprocess()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6951
unit: def _get_value_for_matching_key()
file: research/object_detection/meta_architectures/ssd_meta_arch_test_lib.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 3

id: 6952
unit: def _extract_proposal_features()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6953
unit: def __init__()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6954
unit: def __init__()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6955
unit: def batched_prediction_tensor_names()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6956
unit: def _flatten_first_two_dimensions()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6957
unit: def regularization_losses()
file: research/object_detection/meta_architectures/rfcn_meta_arch.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6958
unit: def crop_masks_within_boxes()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6959
unit: def _get_2d_neighbors_kenel()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 0

id: 6960
unit: def __call__()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6961
unit: def _decode_image()
file: research/object_detection/exporter_lib_v2.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6962
unit: def _decode_tf_example()
file: research/object_detection/exporter_lib_v2.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6963
unit: def context_float_feature()
file: research/object_detection/dataset_tools/seq_example_util.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6964
unit: def context_int64_feature()
file: research/object_detection/dataset_tools/seq_example_util.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6965
unit: def __init__()
file: research/object_detection/dataset_tools/create_ava_actions_tf_record.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6966
unit: def get_label_map()
file: research/object_detection/dataset_tools/create_ava_actions_tf_record.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6967
unit: def get_conv_def()
file: research/object_detection/models/keras_models/model_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 2

id: 6968
unit: def input_layer()
file: research/object_detection/models/keras_models/model_utils.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6969
unit: def call()
file: research/object_detection/models/keras_models/hourglass_network.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6970
unit: def _apply_blocks()
file: research/object_detection/models/keras_models/hourglass_network.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6971
unit: def test_variables_only_created_in_scope()
file: research/object_detection/models/ssd_resnet_v1_ppn_feature_extractor_testbase.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6972
unit: def _create_modified_mobilenet_config()
file: research/object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6973
unit: def pnasnet_large_arg_scope_for_detection()
file: research/object_detection/models/faster_rcnn_pnas_feature_extractor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6974
unit: def get_depth_fn()
file: research/object_detection/models/feature_map_generators.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6975
unit: def nasnet_large_arg_scope_for_detection()
file: research/object_detection/models/faster_rcnn_nas_feature_extractor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6976
unit: def _create_modified_mobilenet_config()
file: research/object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 0

id: 6977
unit: def _apply_multiplier()
file: research/object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6978
unit: def apply_with_random_selector()
file: research/slim/preprocessing/inception_preprocessing.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6979
unit: def get_learning_rate()
file: research/slim/nets/mobilenet_v1_train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 0

id: 6980
unit: def get_quant_delay()
file: research/slim/nets/mobilenet_v1_train.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 5
number of parameters: 0

id: 6981
unit: def subsample()
file: research/slim/nets/resnet_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 3

id: 6982
unit: def _operation_to_num_layers()
file: research/slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6983
unit: def pnasnet_mobile_arg_scope()
file: research/slim/nets/nasnet/pnasnet.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6984
unit: def caching_device()
file: research/slim/deployment/model_deploy.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6985
unit: def optimizer_device()
file: research/slim/deployment/model_deploy.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6986
unit: def _normalize_audio_feature()
file: research/deep_speech/data/dataset.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6987
unit: def compute_length_after_conv()
file: research/deep_speech/deep_speech.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 6988
unit: def _get_all_files()
file: research/deeplab/datasets/data_generator.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6989
unit: def main()
file: research/deeplab/datasets/build_ade20k_data.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6990
unit: def _bytes_list_feature()
file: research/deeplab/datasets/build_data.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 3
number of parameters: 1

id: 6991
unit: def scale_dimension()
file: research/deeplab/core/utils.py
start line: 0
end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6992
unit: def get_batch_norm_fn()
file: research/deeplab/core/utils.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6993
unit: def _convert_train_id_to_eval_id()
file: research/deeplab/vis.py
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end line: 0
size: 5 LOC
McCabe index: 2
number of parameters: 2

id: 6994
unit: def _valid_categories()
file: research/deeplab/evaluation/parsing_covering.py
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McCabe index: 3
number of parameters: 1

id: 6995
unit: def merge()
file: research/deeplab/evaluation/panoptic_quality.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 6996
unit: def reset()
file: research/deeplab/evaluation/panoptic_quality.py
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size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 6997
unit: def _iterate_work_queue()
file: research/deeplab/evaluation/eval_coco_format.py
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size: 5 LOC
McCabe index: 2
number of parameters: 1

id: 6998
unit: def _run_metrics_worker()
file: research/deeplab/evaluation/eval_coco_format.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 5

id: 6999
unit: def wavfile_to_examples()
file: research/audioset/vggish/vggish_input.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 1

id: 7000
unit: def __init__()
file: research/audioset/yamnet/export.py
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end line: 0
size: 5 LOC
McCabe index: 1
number of parameters: 3

id: 7001
unit: def __call__()
file: research/audioset/yamnet/export.py
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size: 5 LOC
McCabe index: 1
number of parameters: 2

id: 7002
unit: def safe_mean()
file: official/modeling/tf_utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7003
unit: def __getattr__()
file: official/modeling/hyperparams/params_dict.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7004
unit: def read_yaml_to_params_dict()
file: official/modeling/hyperparams/params_dict.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7005
unit: def __post_init__()
file: official/modeling/hyperparams/base_config.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7006
unit: def apply_gradients()
file: official/modeling/optimization/ema_optimizer.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7007
unit: def _run_callbacks()
file: official/modeling/grad_utils.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7008
unit: def timeout_fn()
file: official/modeling/multitask/train_lib.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7009
unit: def hard_swish()
file: official/modeling/activations/swish.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7010
unit: def timeout_fn()
file: official/modeling/fast_training/progressive/train_lib.py
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size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7011
unit: def get_model()
file: official/modeling/fast_training/progressive/policies.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7012
unit: def cur_train_dataset()
file: official/modeling/fast_training/progressive/policies.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7013
unit: def cur_eval_dataset()
file: official/modeling/fast_training/progressive/policies.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7014
unit: def is_stage_advancing()
file: official/modeling/fast_training/progressive/policies.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7015
unit: def reassign_trackable()
file: official/modeling/fast_training/progressive/utils.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7016
unit: def read()
file: official/modeling/fast_training/progressive/utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7017
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7018
unit: def build()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7019
unit: def call()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7020
unit: def _spatial_output_shape()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7021
unit: def from_config()
file: official/vision/beta/modeling/backbones/revnet.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7022
unit: def round_repeats()
file: official/vision/beta/modeling/backbones/efficientnet.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 3

id: 7023
unit: def _features_to_mask_outputs()
file: official/vision/beta/modeling/maskrcnn_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7024
unit: def build_aspp_decoder()
file: official/vision/beta/modeling/decoders/aspp.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7025
unit: def _global_attention()
file: official/vision/beta/modeling/decoders/nasfpn.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7026
unit: def build_nasfpn_decoder()
file: official/vision/beta/modeling/decoders/nasfpn.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7027
unit: def build_fpn_decoder()
file: official/vision/beta/modeling/decoders/fpn.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7028
unit: def _load_images_info()
file: official/vision/beta/data/create_coco_tf_record.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7029
unit: def put_int64_to_context()
file: official/vision/beta/dataloaders/tfexample_utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7030
unit: def _decode_image()
file: official/vision/beta/dataloaders/tf_example_decoder.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7031
unit: def __call__()
file: official/vision/beta/ops/anchor_generator.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7032
unit: def shear_x()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7033
unit: def shear_y()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7034
unit: def _randomly_negate_tensor()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7035
unit: def _rotate_level_to_arg()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7036
unit: def _shear_level_to_arg()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7037
unit: def _translate_level_to_arg()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7038
unit: def bbox_wrapper()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7039
unit: def distort_with_boxes()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7040
unit: def _distort_common()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7041
unit: def distort_with_boxes()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7042
unit: def _sample_from_beta()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7043
unit: def decode_jpeg()
file: official/vision/beta/ops/preprocess_ops_3d.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7044
unit: def reset_states()
file: official/vision/beta/evaluation/coco_evaluator.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7045
unit: def result()
file: official/vision/beta/evaluation/coco_evaluator.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7046
unit: def get_config()
file: official/vision/beta/evaluation/iou.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7047
unit: def result()
file: official/vision/beta/evaluation/panoptic_quality_evaluator.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7048
unit: def __init__()
file: official/vision/beta/evaluation/wod_detection_evaluator.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7049
unit: def __init__()
file: official/vision/beta/evaluation/segmentation_metrics.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 5

id: 7050
unit: def __init__()
file: official/vision/beta/evaluation/segmentation_metrics.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 5

id: 7051
unit: def build()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/panoptic_segmentation_generator.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7052
unit: def build_inputs()
file: official/vision/beta/projects/panoptic_maskrcnn/tasks/panoptic_maskrcnn.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7053
unit: def resize_as()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/maskrcnn_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7054
unit: def checkpoint_items()
file: official/vision/beta/projects/centernet/modeling/centernet_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7055
unit: def _copy_extra_fields()
file: official/vision/beta/projects/centernet/ops/box_list_ops.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7056
unit: def set()
file: official/vision/beta/projects/centernet/ops/box_list.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7057
unit: def get_field()
file: official/vision/beta/projects/centernet/ops/box_list.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7058
unit: def set_field()
file: official/vision/beta/projects/centernet/ops/box_list.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7059
unit: def flatten_spatial_dimensions()
file: official/vision/beta/projects/centernet/ops/loss_ops.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7060
unit: def compute_std_dev_from_box_size()
file: official/vision/beta/projects/centernet/ops/target_assigner.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7061
unit: def get_head_layer_cfgs()
file: official/vision/beta/projects/centernet/utils/checkpoints/load_weights.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7062
unit: def load_block_weights()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_classes.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7063
unit: def build_inputs()
file: official/vision/beta/projects/example/example_task.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7064
unit: def decode()
file: official/vision/beta/projects/example/example_input.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7065
unit: def __init__()
file: official/vision/beta/projects/example/example_input.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7066
unit: def _parse_train_data()
file: official/vision/beta/projects/example/example_input.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7067
unit: def _parse_eval_data()
file: official/vision/beta/projects/example/example_input.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7068
unit: def get_config()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7069
unit: def darktiny_config_todict()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7070
unit: def __call__()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7071
unit: def _get_activation()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7072
unit: def _beta()
file: official/vision/beta/projects/yolo/ops/mosaic.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7073
unit: def _add_param()
file: official/vision/beta/projects/yolo/ops/mosaic.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7074
unit: def apply_mask()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7075
unit: def _build_dict()
file: official/vision/beta/projects/yolo/configs/yolo.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7076
unit: def _resource_apply_sparse()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 5

id: 7077
unit: def post_path_aggregation()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 7

id: 7078
unit: def process_metrics()
file: official/vision/beta/tasks/video_classification.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 4

id: 7079
unit: def build_inputs()
file: official/vision/beta/tasks/image_classification.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7080
unit: def inference_from_image_audio_tensors()
file: official/vision/beta/serving/video_classification.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7081
unit: def __init__()
file: official/vision/beta/losses/maskrcnn_losses.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7082
unit: def __init__()
file: official/vision/beta/losses/segmentation_losses.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7083
unit: def __call__()
file: official/vision/beta/losses/segmentation_losses.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7084
unit: def _copy_extra_fields()
file: official/vision/utils/object_detection/box_list_ops.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7085
unit: def set()
file: official/vision/utils/object_detection/box_list.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7086
unit: def get_field()
file: official/vision/utils/object_detection/box_list.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7087
unit: def set_field()
file: official/vision/utils/object_detection/box_list.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7088
unit: def _copy_extra_fields()
file: official/vision/utils/object_detection/preprocessor.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7089
unit: def save_image_array_as_png()
file: official/vision/utils/object_detection/visualization_utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7090
unit: def get_task()
file: official/core/task_factory.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7091
unit: def _maybe_map_fn()
file: official/core/input_reader.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7092
unit: def _maybe_apply_data_service()
file: official/core/input_reader.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7093
unit: def timeout_fn()
file: official/core/train_lib.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 0

id: 7094
unit: def base_experiment()
file: official/core/train_utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7095
unit: def reduce_aggregated_logs()
file: official/core/base_task.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7096
unit: def model_parallelism()
file: official/core/config_definitions.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7097
unit: def __call__()
file: official/core/actions.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7098
unit: def __call__()
file: official/core/actions.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7099
unit: def pick_dataset_fn()
file: official/common/dataset_fn.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7100
unit: def call()
file: official/utils/testing/mock_task.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7101
unit: def validation_step()
file: official/utils/testing/mock_task.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7102
unit: def reduce_aggregated_logs()
file: official/utils/testing/mock_task.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7103
unit: def mock_experiment()
file: official/utils/testing/mock_task.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7104
unit: def get_tf_dtype()
file: official/utils/flags/_performance.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 1

id: 7105
unit: def on_train_end()
file: official/utils/misc/keras_utils.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7106
unit: def get_threadpool()
file: official/recommendation/popen_helper.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7107
unit: def __init__()
file: official/recommendation/data_pipeline.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7108
unit: def __init__()
file: official/recommendation/data_pipeline.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7109
unit: def lookup_negative_items()
file: official/recommendation/data_pipeline.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7110
unit: def _get_tpu_embedding_feature_config()
file: official/recommendation/ranking/task.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7111
unit: def get_config()
file: official/projects/vit/modeling/nn_blocks.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7112
unit: def build()
file: official/projects/vit/modeling/vit.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7113
unit: def call()
file: official/projects/movinet/modeling/movinet_layers.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7114
unit: def get_config()
file: official/projects/movinet/modeling/movinet_layers.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7115
unit: def call()
file: official/projects/movinet/modeling/movinet_layers.py
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id: 7116
unit: def _build_network()
file: official/projects/movinet/modeling/movinet.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7117
unit: def _get_state_dtype()
file: official/projects/movinet/modeling/movinet.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7118
unit: def __init__()
file: official/projects/yt8m/dataloaders/yt8m_input.py
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id: 7119
unit: def __init__()
file: official/projects/yt8m/dataloaders/yt8m_input.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7120
unit: def reduce_aggregated_logs()
file: official/projects/yt8m/tasks/yt8m_task.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7121
unit: def calculate_hit_at_one()
file: official/projects/yt8m/eval_utils/eval_util.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7122
unit: def result()
file: official/projects/basnet/evaluation/metrics.py
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id: 7123
unit: def _convert_to_numpy()
file: official/projects/basnet/evaluation/metrics.py
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id: 7124
unit: def result()
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unit: def _convert_to_numpy()
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id: 7126
unit: def result()
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unit: def _convert_to_numpy()
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id: 7128
unit: def __init__()
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id: 7129
unit: def from_json_file()
file: official/projects/mobilebert/model_utils.py
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size: 4 LOC
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number of parameters: 2

id: 7130
unit: def create_v2_checkpoint()
file: official/projects/mobilebert/tf2_model_checkpoint_converter.py
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size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7131
unit: def pop()
file: official/projects/bigbird/recompute_grad.py
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id: 7132
unit: def build()
file: official/projects/triviaqa/modeling.py
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id: 7133
unit: def filter_files_for_big_bird()
file: official/projects/triviaqa/dataset.py
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number of parameters: 1

id: 7134
unit: def get_ground_truths()
file: official/projects/triviaqa/evaluation.py
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number of parameters: 1

id: 7135
unit: def setup()
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id: 7136
unit: def process()
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id: 7137
unit: def _prepare()
file: official/projects/detr/ops/matchers.py
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id: 7138
unit: def initialize()
file: official/projects/detr/tasks/detection.py
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id: 7139
unit: def rouge_l_fscore()
file: official/projects/nhnet/evaluation.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7140
unit: def rouge_2_fscore()
file: official/projects/nhnet/evaluation.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7141
unit: def bleu_score()
file: official/projects/nhnet/evaluation.py
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McCabe index: 1
number of parameters: 2

id: 7142
unit: def main()
file: official/projects/nhnet/trainer.py
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number of parameters: 1

id: 7143
unit: def build_unet_3d_decoder()
file: official/projects/volumetric_models/modeling/decoders/unet_3d_decoder.py
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McCabe index: 1
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id: 7144
unit: def build_losses()
file: official/projects/text_classification_example/classification_example.py
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id: 7145
unit: def __init__()
file: official/projects/edgetpu/vision/modeling/common_modules.py
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number of parameters: 3

id: 7146
unit: def get_batch_norm()
file: official/projects/edgetpu/vision/modeling/common_modules.py
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size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7147
unit: def build_inputs()
file: official/projects/edgetpu/vision/tasks/image_classification.py
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size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7148
unit: def __call__()
file: official/legacy/detection/dataloader/retinanet_parser.py
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id: 7149
unit: def _decode_image()
file: official/legacy/detection/dataloader/tf_example_decoder.py
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McCabe index: 1
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id: 7150
unit: def __call__()
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unit: def __call__()
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unit: def __init__()
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unit: def __init__()
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unit: def __init__()
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unit: def __init__()
file: official/legacy/detection/modeling/losses.py
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unit: def __init__()
file: official/legacy/detection/modeling/losses.py
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id: 7157
unit: def _save_checkpoint()
file: official/legacy/detection/executor/distributed_executor.py
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McCabe index: 1
number of parameters: 3

id: 7158
unit: def _steps_to_run()
file: official/legacy/detection/executor/distributed_executor.py
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McCabe index: 2
number of parameters: 3

id: 7159
unit: def reset_states()
file: official/legacy/detection/executor/distributed_executor.py
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McCabe index: 2
number of parameters: 1

id: 7160
unit: def __init__()
file: official/legacy/detection/ops/target_ops.py
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number of parameters: 3

id: 7161
unit: def reset()
file: official/legacy/detection/evaluation/coco_evaluator.py
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McCabe index: 2
number of parameters: 1

id: 7162
unit: def get_config()
file: official/legacy/transformer/transformer.py
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McCabe index: 1
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id: 7163
unit: def build()
file: official/legacy/transformer/transformer.py
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id: 7164
unit: def get_config()
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id: 7165
unit: def __init__()
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unit: def get_config()
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id: 7167
unit: def __init__()
file: official/legacy/transformer/transformer.py
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id: 7168
unit: def get_config()
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McCabe index: 1
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id: 7169
unit: def __init__()
file: official/legacy/transformer/embedding_layer.py
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number of parameters: 3

id: 7170
unit: def _filter_max_length()
file: official/legacy/transformer/data_pipeline.py
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McCabe index: 1
number of parameters: 2

id: 7171
unit: def bleu_score()
file: official/legacy/transformer/utils/metrics.py
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McCabe index: 1
number of parameters: 2

id: 7172
unit: def rouge_2_fscore()
file: official/legacy/transformer/utils/metrics.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7173
unit: def _len_lcs()
file: official/legacy/transformer/utils/metrics.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7174
unit: def _save_vocab_file()
file: official/legacy/transformer/utils/tokenizer.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7175
unit: def __init__()
file: official/legacy/transformer/metrics.py
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McCabe index: 1
number of parameters: 2

id: 7176
unit: def use_tpu()
file: official/legacy/transformer/transformer_main.py
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end line: 0
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McCabe index: 2
number of parameters: 1

id: 7177
unit: def txt_line_iterator()
file: official/legacy/transformer/data_download.py
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McCabe index: 2
number of parameters: 1

id: 7178
unit: def write_file()
file: official/legacy/transformer/data_download.py
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McCabe index: 2
number of parameters: 2

id: 7179
unit: def make_dir()
file: official/legacy/transformer/data_download.py
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McCabe index: 2
number of parameters: 1

id: 7180
unit: def get_loss_fn()
file: official/legacy/bert/run_pretraining.py
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McCabe index: 1
number of parameters: 0

id: 7181
unit: def from_json_file()
file: official/legacy/bert/configs.py
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McCabe index: 1
number of parameters: 2

id: 7182
unit: def clip_by_global_norm_callback()
file: official/legacy/bert/model_training_utils.py
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McCabe index: 1
number of parameters: 1

id: 7183
unit: def __init__()
file: official/legacy/image_classification/efficientnet/common_modules.py
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number of parameters: 3

id: 7184
unit: def get_batch_norm()
file: official/legacy/image_classification/efficientnet/common_modules.py
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McCabe index: 2
number of parameters: 1

id: 7185
unit: def main()
file: official/legacy/image_classification/efficientnet/tfhub_export.py
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McCabe index: 2
number of parameters: 1

id: 7186
unit: def load_eval_image()
file: official/legacy/image_classification/preprocessing.py
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McCabe index: 1
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id: 7187
unit: def build()
file: official/legacy/image_classification/dataset_factory.py
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McCabe index: 3
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id: 7188
unit: def main()
file: official/legacy/image_classification/mnist_main.py
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McCabe index: 1
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unit: def main()
file: official/legacy/image_classification/resnet/resnet_ctl_imagenet_main.py
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McCabe index: 1
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id: 7190
unit: def define_clustering_flags()
file: official/legacy/image_classification/resnet/common.py
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McCabe index: 1
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id: 7191
unit: def main()
file: official/legacy/image_classification/resnet/tfhub_export.py
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id: 7192
unit: def main()
file: official/legacy/image_classification/classifier_trainer.py
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id: 7193
unit: def shear_x()
file: official/legacy/image_classification/augment.py
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McCabe index: 1
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id: 7194
unit: def shear_y()
file: official/legacy/image_classification/augment.py
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id: 7195
unit: def _randomly_negate_tensor()
file: official/legacy/image_classification/augment.py
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id: 7196
unit: def _rotate_level_to_arg()
file: official/legacy/image_classification/augment.py
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id: 7197
unit: def _shear_level_to_arg()
file: official/legacy/image_classification/augment.py
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McCabe index: 1
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id: 7198
unit: def _translate_level_to_arg()
file: official/legacy/image_classification/augment.py
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McCabe index: 1
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id: 7199
unit: def checkpoint_items()
file: official/nlp/modeling/layers/cls_head.py
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id: 7200
unit: def extract_spec_norm_kwargs()
file: official/nlp/modeling/layers/cls_head.py
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McCabe index: 1
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id: 7201
unit: def reset_precision_matrix()
file: official/nlp/modeling/layers/gaussian_process.py
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id: 7202
unit: def reset_rezero()
file: official/nlp/modeling/layers/rezero_transformer.py
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McCabe index: 2
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id: 7203
unit: def _large_compatible_negative()
file: official/nlp/modeling/layers/masked_softmax.py
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McCabe index: 2
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id: 7204
unit: def _check_if_tf_text_installed()
file: official/nlp/modeling/layers/text_layers.py
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number of parameters: 0

id: 7205
unit: def _unflatten_beam_dim()
file: official/nlp/modeling/ops/beam_search.py
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number of parameters: 3

id: 7206
unit: def set_tensor_by_indices_to_value()
file: official/nlp/modeling/ops/sampling_module.py
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number of parameters: 3

id: 7207
unit: def _grow_alive_seq()
file: official/nlp/modeling/ops/decoding_module.py
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number of parameters: 4

id: 7208
unit: def _finished_flags()
file: official/nlp/modeling/ops/decoding_module.py
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McCabe index: 1
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id: 7209
unit: def attention_initializer()
file: official/nlp/modeling/models/seq2seq_transformer.py
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McCabe index: 1
number of parameters: 1

id: 7210
unit: def make_causal_mask()
file: official/nlp/modeling/models/t5.py
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McCabe index: 1
number of parameters: 2

id: 7211
unit: def _filter_max_length()
file: official/nlp/data/wmt_dataloader.py
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McCabe index: 1
number of parameters: 2

id: 7212
unit: def get_dev_examples()
file: official/nlp/data/sentence_retrieval_lib.py
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McCabe index: 1
number of parameters: 3

id: 7213
unit: def get_test_examples()
file: official/nlp/data/sentence_retrieval_lib.py
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McCabe index: 1
number of parameters: 3

id: 7214
unit: def __init__()
file: official/nlp/data/classifier_data_lib.py
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id: 7215
unit: def get_train_examples()
file: official/nlp/data/classifier_data_lib.py
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McCabe index: 1
number of parameters: 2

id: 7216
unit: def get_test_examples()
file: official/nlp/data/classifier_data_lib.py
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McCabe index: 1
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id: 7217
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file: official/nlp/data/question_answering_dataloader.py
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McCabe index: 1
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id: 7218
unit: def load()
file: official/nlp/data/pretrain_dataloader.py
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McCabe index: 1
number of parameters: 2

id: 7219
unit: def __init__()
file: official/nlp/data/tagging_dataloader.py
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McCabe index: 1
number of parameters: 2

id: 7220
unit: def load()
file: official/nlp/data/tagging_dataloader.py
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McCabe index: 1
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id: 7221
unit: def from_config()
file: official/nlp/optimization.py
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McCabe index: 1
number of parameters: 2

id: 7222
unit: def bleu_wrapper()
file: official/nlp/metrics/bleu.py
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McCabe index: 1
number of parameters: 3

id: 7223
unit: def __init__()
file: official/nlp/xlnet/xlnet_modeling.py
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McCabe index: 1
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id: 7224
unit: def build()
file: official/nlp/xlnet/xlnet_modeling.py
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McCabe index: 1
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id: 7225
unit: def __init__()
file: official/nlp/xlnet/xlnet_modeling.py
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McCabe index: 1
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id: 7226
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file: official/nlp/xlnet/xlnet_modeling.py
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McCabe index: 1
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id: 7227
unit: def get_tokens()
file: official/nlp/xlnet/squad_utils.py
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McCabe index: 2
number of parameters: 1

id: 7228
unit: def encode_ids()
file: official/nlp/xlnet/preprocess_utils.py
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McCabe index: 2
number of parameters: 3

id: 7229
unit: def get_metric_fn()
file: official/nlp/xlnet/run_classifier.py
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McCabe index: 1
number of parameters: 0

id: 7230
unit: def __init__()
file: official/nlp/xlnet/preprocess_classification_data.py
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McCabe index: 1
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id: 7231
unit: def init_from_json()
file: official/nlp/xlnet/xlnet_config.py
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McCabe index: 1
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id: 7232
unit: def __init__()
file: official/nlp/tools/tokenization.py
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McCabe index: 1
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id: 7233
unit: def encode_ids()
file: official/nlp/tools/tokenization.py
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McCabe index: 2
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id: 7234
unit: def _masked_labels_and_weights()
file: official/nlp/tasks/tagging.py
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McCabe index: 2
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id: 7235
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file: official/nlp/tasks/tagging.py
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McCabe index: 1
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id: 7236
unit: def serve_text()
file: official/nlp/serving/serving_modules.py
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McCabe index: 1
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id: 7237
unit: def _as_sequence()
file: orbit/actions/conditional_action.py
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McCabe index: 2
number of parameters: 2

id: 7238
unit: def __init__()
file: orbit/actions/conditional_action.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7239
unit: def __call__()
file: orbit/actions/conditional_action.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7240
unit: def __call__()
file: orbit/actions/export_saved_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7241
unit: def __call__()
file: orbit/actions/export_saved_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7242
unit: def write_summaries()
file: orbit/utils/summary_manager.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7243
unit: def get_value()
file: orbit/utils/common.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7244
unit: def eval_reduce()
file: orbit/standard_runner.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7245
unit: def compute_rewards()
file: research/efficient-hrl/context/context.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 7

id: 7246
unit: def set_replay()
file: research/efficient-hrl/context/context.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7247
unit: def step()
file: research/efficient-hrl/environments/create_maze_env.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7248
unit: def __init__()
file: research/efficient-hrl/environments/point.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7249
unit: def point_distance()
file: research/efficient-hrl/environments/maze_env_utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7250
unit: def reset()
file: research/efficient-hrl/run_env.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7251
unit: def step()
file: research/efficient-hrl/run_env.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7252
unit: def huber()
file: research/efficient-hrl/agent.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7253
unit: def get_position()
file: research/efficient-hrl/agents/circular_buffer.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7254
unit: def get_num_adds()
file: research/efficient-hrl/agents/circular_buffer.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7255
unit: def sample_action()
file: research/efficient-hrl/agents/ddpg_agent.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7256
unit: def target_actor_net()
file: research/efficient-hrl/agents/ddpg_agent.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7257
unit: def value_net()
file: research/efficient-hrl/agents/ddpg_agent.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7258
unit: def target_value_net()
file: research/efficient-hrl/agents/ddpg_agent.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7259
unit: def get_trainable_critic_vars()
file: research/efficient-hrl/agents/ddpg_agent.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7260
unit: def value_net()
file: research/efficient-hrl/agents/ddpg_agent.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7261
unit: def random_flip()
file: research/autoaugment/augmentation_transforms.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7262
unit: def _crop_impl()
file: research/autoaugment/augmentation_transforms.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7263
unit: def cosine_lr()
file: research/autoaugment/helper_utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 5

id: 7264
unit: void TensorflowTfLiteOpTest::SetUp()
file: research/seq_flow_lite/tflite_ops/tf_tflite_diff_test_util.cc
start line: 103
end line: 106
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7265
unit: explicit OutputTensor()
file: research/seq_flow_lite/tflite_ops/tf_tflite_diff_test_util.h
start line: 48
end line: 51
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7266
unit: def __init__()
file: research/seq_flow_lite/layers/base_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7267
unit: def quantize_tensor()
file: research/seq_flow_lite/layers/base_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7268
unit: def qrange_sigmoid()
file: research/seq_flow_lite/layers/base_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7269
unit: def qrange_tanh()
file: research/seq_flow_lite/layers/base_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7270
unit: def __init__()
file: research/seq_flow_lite/layers/normalization_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7271
unit: def __init__()
file: research/seq_flow_lite/layers/normalization_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7272
unit: def call()
file: research/seq_flow_lite/layers/dense_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7273
unit: def _do_call()
file: research/seq_flow_lite/layers/dense_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7274
unit: def __init__()
file: research/seq_flow_lite/layers/quantization_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7275
unit: def _reduce_list()
file: research/seq_flow_lite/layers/quantization_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7276
unit: def call()
file: research/seq_flow_lite/layers/conv_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7277
unit: def _do_call()
file: research/seq_flow_lite/layers/conv_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7278
unit: def call()
file: research/seq_flow_lite/layers/conv_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7279
unit: def goemotions()
file: research/seq_flow_lite/input_fn_reader.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7280
unit: def load_runner_config()
file: research/seq_flow_lite/export_to_tflite.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7281
unit: std::string ProjectionNormalizer::Normalize()
file: research/seq_flow_lite/tf_ops/projection_normalizer_util.cc
start line: 131
end line: 134
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7282
unit: explicit UnicodeHash()
file: research/seq_flow_lite/tf_ops/projection_util.cc
start line: 162
end line: 165
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7283
unit: This op referred to as Ternary Sequence String Projection op()
file: research/seq_flow_lite/tf_ops/sequence_string_projection.cc
start line: 345
end line: 348
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7284
unit: std::vector Tokenize()
file: research/seq_flow_lite/tf_ops/projection_tokenizer_util.h
start line: 37
end line: 40
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7285
unit: This op referred to as Ternary Sequence String Projection Op V2()
file: research/seq_flow_lite/tf_ops/sequence_string_projection_op_v2.cc
start line: 216
end line: 219
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7286
unit: def main()
file: research/seq_flow_lite/models/sgnn/train.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7287
unit: def __init__()
file: research/seq_flow_lite/models/sgnn/sgnn.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7288
unit: void AddSgnnProjectionCustomOp()
file: research/seq_flow_lite/models/sgnn/sgnn_projection_op_resolver.cc
start line: 25
end line: 28
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7289
unit: def quantize_parameter()
file: research/seq_flow_lite/models/prado.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7290
unit: def get_bucket()
file: research/cvt_text/corpus_processing/minibatching.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7291
unit: def endless_minibatches()
file: research/cvt_text/corpus_processing/minibatching.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7292
unit: def __repr__()
file: research/cvt_text/corpus_processing/example.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 1

id: 7293
unit: def __init__()
file: research/cvt_text/task_specific/word_level/depparse_scorer.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7294
unit: def lstm_cell()
file: research/cvt_text/model/model_helpers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7295
unit: def _roll()
file: research/cvt_text/model/model_helpers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7296
unit: def __init__()
file: research/cvt_text/model/task_module.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7297
unit: def train_labeled()
file: research/cvt_text/model/multitask_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7298
unit: def __call__()
file: research/cvt_text/base/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7299
unit: def write_cpickle()
file: research/cvt_text/base/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7300
unit: def log()
file: research/cvt_text/base/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7301
unit: def _add_vector()
file: research/cvt_text/base/embeddings.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7302
unit: def _num_labels()
file: research/adversarial_text/layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7303
unit: def __init__()
file: research/adversarial_text/data/data_utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7304
unit: def token()
file: research/adversarial_text/data/data_utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7305
unit: def copy_from()
file: research/adversarial_text/data/data_utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7306
unit: def _get_tuple_state_names()
file: research/adversarial_text/inputs.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7307
unit: def classifier_training()
file: research/adversarial_text/graphs.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7308
unit: def language_model_training()
file: research/adversarial_text/graphs.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7309
unit: def language_model_graph()
file: research/adversarial_text/graphs.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7310
unit: def pretrained_variables()
file: research/adversarial_text/graphs.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7311
unit: def random_perturbation_loss()
file: research/adversarial_text/adversarial_losses.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7312
unit: def ParseFromString()
file: research/delf/delf/python/box_io.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7313
unit: def WriteToFile()
file: research/delf/delf/python/box_io.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7314
unit: def DatumPairToArrays()
file: research/delf/delf/python/datum_io.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7315
unit: def ParseFromString()
file: research/delf/delf/python/datum_io.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7316
unit: def ParsePairFromString()
file: research/delf/delf/python/datum_io.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7317
unit: def WriteToFile()
file: research/delf/delf/python/datum_io.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7318
unit: def WritePairToFile()
file: research/delf/delf/python/datum_io.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7319
unit: def _img_names_to_full_path()
file: research/delf/delf/python/datasets/tuples_dataset.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7320
unit: def __len__()
file: research/delf/delf/python/datasets/tuples_dataset.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7321
unit: def Sfm120kInfo()
file: research/delf/delf/python/datasets/sfm120k/sfm120k.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7322
unit: def RgbLoader()
file: research/delf/delf/python/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7323
unit: def ParseFromString()
file: research/delf/delf/python/feature_io.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7324
unit: def _build_test_tfrecord_dataset()
file: research/delf/delf/python/training/build_image_dataset.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7325
unit: def call()
file: research/delf/delf/python/training/model/delf_model.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7326
unit: def __init__()
file: research/delf/delf/python/training/losses/ranking_losses.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7327
unit: def call()
file: research/delf/delf/python/pooling_layers/pooling.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7328
unit: def call()
file: research/delf/delf/python/pooling_layers/pooling.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7329
unit: def __init__()
file: research/delf/delf/python/pooling_layers/pooling.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7330
unit: def call()
file: research/delf/delf/python/pooling_layers/pooling.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7331
unit: def mac()
file: research/delf/delf/python/pooling_layers/pooling.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7332
unit: def spoc()
file: research/delf/delf/python/pooling_layers/pooling.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7333
unit: def binary_log_likelihood()
file: research/rebar/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7334
unit: def _generate_randomness()
file: research/rebar/rebar.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7335
unit: def manual_scalar_summary()
file: research/rebar/rebar_train.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7336
unit: bool MobileSSDClient::InitializeClient()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 30
end line: 33
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7337
unit: bool MobileSSDClient::Detect()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 52
end line: 55
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7338
unit: void MobileSSDClient::SetInputDims()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 113
end line: 116
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7339
unit: void MobileSSDTfLiteClient::SetImageNormalizationParams()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 149
end line: 152
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7340
unit: def _quant_var()
file: research/lstm_object_detection/lstm/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7341
unit: def goal_one_hot()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7342
unit: def __lt__()
file: research/cognitive_planning/envs/task_env.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7343
unit: def build()
file: research/cognitive_planning/policies.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7344
unit: def save_image_array_as_png()
file: research/cognitive_planning/visualization_utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7345
unit: def __init__()
file: research/cognitive_planning/embedders.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7346
unit: def gradients()
file: research/pcl_rl/optimizers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7347
unit: def __init__()
file: research/pcl_rl/optimizers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7348
unit: def get_bonus()
file: research/pcl_rl/full_episode_objective.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7349
unit: def update_last_batch()
file: research/pcl_rl/replay_buffer.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7350
unit: def gradients()
file: research/pcl_rl/trust_region.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7351
unit: def get_buffer_seeds()
file: research/pcl_rl/trainer.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7352
unit: def main()
file: research/pcl_rl/trainer.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7353
unit: def nparray_and_transpose()
file: research/lfads/synth_data/synthetic_data_utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7354
unit: def write_datasets()
file: research/lfads/utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 4

id: 7355
unit: def load_images()
file: research/marco/Automated_Marco.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7356
unit: def tensors_to_item()
file: research/attention_ocr/python/datasets/fsns.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7357
unit: def get_dataset_image_size()
file: research/attention_ocr/python/demo_inference.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7358
unit: def __init__()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7359
unit: def __init__()
file: research/attention_ocr/python/sequence_layers.py
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size: 4 LOC
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number of parameters: 3

id: 7360
unit: def __init__()
file: research/attention_ocr/python/model.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7361
unit: def tensors_to_item()
file: research/object_detection/data_decoders/tf_sequence_example_decoder.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7362
unit: def _remove_unrecognized_classes()
file: research/object_detection/inputs.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7363
unit: def parse()
file: research/object_detection/metrics/tf_example_parser.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7364
unit: def _RleCompress()
file: research/object_detection/metrics/coco_tools.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7365
unit: def clear()
file: research/object_detection/metrics/coco_evaluation.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7366
unit: def RleCompress()
file: research/object_detection/metrics/lvis_tools.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7367
unit: def __init__()
file: research/object_detection/metrics/lvis_tools.py
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size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7368
unit: def write_csv()
file: research/object_detection/metrics/io_utils.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7369
unit: def make_initializable_iterator()
file: research/object_detection/builders/dataset_builder.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7370
unit: def matched_row_indices()
file: research/object_detection/core/matcher.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7371
unit: def _copy_extra_fields()
file: research/object_detection/core/box_list_ops.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7372
unit: def __init__()
file: research/object_detection/core/region_similarity_calculator.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7373
unit: def set()
file: research/object_detection/core/box_list.py
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size: 4 LOC
McCabe index: 3
number of parameters: 2

id: 7374
unit: def get_field()
file: research/object_detection/core/box_list.py
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size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7375
unit: def set_field()
file: research/object_detection/core/box_list.py
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size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7376
unit: def training_step()
file: research/object_detection/core/model.py
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McCabe index: 2
number of parameters: 1

id: 7377
unit: def restore_map()
file: research/object_detection/core/model.py
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McCabe index: 1
number of parameters: 3

id: 7378
unit: def call()
file: research/object_detection/core/model.py
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size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7379
unit: def image_to_float()
file: research/object_detection/core/preprocessor.py
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size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7380
unit: def get()
file: research/object_detection/core/preprocessor_cache.py
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end line: 0
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McCabe index: 2
number of parameters: 3

id: 7381
unit: def update()
file: research/object_detection/core/preprocessor_cache.py
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number of parameters: 4

id: 7382
unit: def __init__()
file: research/object_detection/core/losses.py
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id: 7383
unit: def __init__()
file: research/object_detection/core/losses.py
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number of parameters: 3

id: 7384
unit: def call()
file: research/object_detection/core/freezable_batch_norm.py
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size: 4 LOC
McCabe index: 3
number of parameters: 3

id: 7385
unit: def _compute_std_dev_from_box_size()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7386
unit: def call()
file: research/object_detection/core/freezable_sync_batch_norm.py
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end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 3

id: 7387
unit: def read_examples_list()
file: research/object_detection/utils/dataset_util.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7388
unit: def ioa()
file: research/object_detection/utils/np_box_ops.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7389
unit: def _process_groundtruth_boxes()
file: research/object_detection/utils/vrd_evaluation.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7390
unit: def _process_detection_boxes()
file: research/object_detection/utils/vrd_evaluation.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7391
unit: def __init__()
file: research/object_detection/utils/vrd_evaluation.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7392
unit: def __init__()
file: research/object_detection/utils/vrd_evaluation.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7393
unit: def _copy_extra_fields()
file: research/object_detection/utils/np_box_list_ops.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7394
unit: def _update_valid_indices_by_removing_high_iou_boxes()
file: research/object_detection/utils/np_box_list_ops.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7395
unit: def save_image_array_as_png()
file: research/object_detection/utils/visualization_utils.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7396
unit: def get_field()
file: research/object_detection/utils/np_box_list.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7397
unit: def _combine_weighted_sum()
file: research/object_detection/utils/bifpn_utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7398
unit: def area()
file: research/object_detection/utils/np_mask_ops.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7399
unit: def normalize_dict()
file: research/object_detection/model_lib_v2.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7400
unit: def clean_temporary_directories()
file: research/object_detection/model_lib_v2.py
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end line: 0
size: 4 LOC
McCabe index: 4
number of parameters: 2

id: 7401
unit: def _flatten_spatial_dimensions()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7402
unit: def row_col_indices_from_flattened_indices()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7403
unit: def restore_map()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7404
unit: def build()
file: research/object_detection/meta_architectures/context_rcnn_lib_tf2.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7405
unit: def _extract_box_classifier_features()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7406
unit: def _extract_box_classifier_features()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7407
unit: def _build_keras_layer_hyperparams()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7408
unit: def _get_second_stage_box_predictor_text_proto()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7409
unit: def _add_mask_to_second_stage_box_predictor_text_proto()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7410
unit: def extract_box_classifier_features()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7411
unit: def max_num_proposals()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 3
number of parameters: 1

id: 7412
unit: def gaussian_pixel_similarity()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7413
unit: def dilated_cross_pixel_similarity()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7414
unit: def _is_mask_head_param_free()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7415
unit: def __init__()
file: research/object_detection/exporter_lib_v2.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 4

id: 7416
unit: def __call__()
file: research/object_detection/exporter_lib_v2.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7417
unit: def __call__()
file: research/object_detection/exporter_lib_v2.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7418
unit: def load_json_data()
file: research/object_detection/dataset_tools/context_rcnn/create_cococameratraps_tfexample_main.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7419
unit: def _scale_box_to_absolute()
file: research/object_detection/eval_util.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7420
unit: def preprocess_input()
file: research/object_detection/models/keras_models/base_models/original_mobilenet_v2.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7421
unit: def preprocess()
file: research/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7422
unit: def preprocess()
file: research/object_detection/models/center_net_mobilenet_v2_feature_extractor.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7423
unit: def _scale_filters()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7424
unit: def preprocess()
file: research/object_detection/models/center_net_resnet_feature_extractor.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7425
unit: def _create_modified_mobilenet_config()
file: research/object_detection/models/ssd_mobilenet_v1_fpn_keras_feature_extractor.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 0

id: 7426
unit: def preprocess()
file: research/object_detection/models/center_net_mobilenet_v2_fpn_feature_extractor.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7427
unit: def _get_dataset_filename()
file: research/slim/datasets/download_and_convert_flowers.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7428
unit: def int64_feature()
file: research/slim/datasets/dataset_utils.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7429
unit: def float_feature()
file: research/slim/datasets/dataset_utils.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7430
unit: def _int64_feature()
file: research/slim/datasets/build_imagenet_data.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7431
unit: def _float_feature()
file: research/slim/datasets/build_imagenet_data.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7432
unit: def wrapped_partial()
file: research/slim/nets/mobilenet_v1.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7433
unit: def _scope_all()
file: research/slim/nets/mobilenet/mobilenet.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7434
unit: def wrapped_partial()
file: research/slim/nets/mobilenet/mobilenet_v2.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7435
unit: def mobilenet_base()
file: research/slim/nets/mobilenet/mobilenet_v2.py
start line: 0
end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7436
unit: def get_channel_index()
file: research/slim/nets/nasnet/nasnet_utils.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7437
unit: def _operation_to_info()
file: research/slim/nets/nasnet/nasnet_utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7438
unit: def _operation_to_pooling_info()
file: research/slim/nets/nasnet/nasnet_utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7439
unit: def pnasnet_large_arg_scope()
file: research/slim/nets/nasnet/pnasnet.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 3

id: 7440
unit: def _dynamic_or_static_shape()
file: research/slim/nets/cyclegan.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7441
unit: def compute_label_feature()
file: research/deep_speech/data/featurizer.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 2

id: 7442
unit: def __init__()
file: research/deep_speech/decoder.py
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size: 4 LOC
McCabe index: 2
number of parameters: 3

id: 7443
unit: def main()
file: research/deeplab/datasets/build_voc2012_data.py
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McCabe index: 2
number of parameters: 1

id: 7444
unit: def _save_annotation()
file: research/deeplab/datasets/remove_gt_colormap.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7445
unit: def _int64_list_feature()
file: research/deeplab/datasets/build_data.py
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end line: 0
size: 4 LOC
McCabe index: 2
number of parameters: 1

id: 7446
unit: def reset()
file: research/deeplab/evaluation/parsing_covering.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 1

id: 7447
unit: def compare_and_accumulate()
file: research/deeplab/evaluation/base_metric.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 5

id: 7448
unit: def _div_maybe_zero()
file: research/deeplab/utils/train_utils.py
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end line: 0
size: 4 LOC
McCabe index: 1
number of parameters: 2

id: 7449
unit: def _create_slots()
file: official/modeling/optimization/lars_optimizer.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7450
unit: def _resource_apply_sparse_duplicate_indices()
file: official/modeling/optimization/ema_optimizer.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7451
unit: def __init__()
file: official/modeling/multitask/base_model.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7452
unit: def _instantiate_sub_tasks()
file: official/modeling/multitask/base_model.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7453
unit: def task_cumulative_distribution()
file: official/modeling/multitask/task_sampler.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7454
unit: def task_cumulative_distribution()
file: official/modeling/multitask/task_sampler.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7455
unit: def relu6()
file: official/modeling/activations/relu.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7456
unit: def simple_swish()
file: official/modeling/activations/swish.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7457
unit: def identity()
file: official/modeling/activations/swish.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7458
unit: def hard_sigmoid()
file: official/modeling/activations/sigmoid.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7459
unit: def is_last_stage()
file: official/modeling/fast_training/progressive/policies.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7460
unit: def __init__()
file: official/modeling/fast_training/progressive/utils.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7461
unit: def __init__()
file: official/modeling/fast_training/progressive/utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7462
unit: def train_dataset()
file: official/modeling/fast_training/progressive/trainer.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7463
unit: def eval_dataset()
file: official/modeling/fast_training/progressive/trainer.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7464
unit: def __init__()
file: official/vision/beta/modeling/layers/nn_blocks_3d.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7465
unit: def __init__()
file: official/vision/beta/modeling/layers/nn_layers.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7466
unit: def call()
file: official/vision/beta/modeling/layers/nn_layers.py
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McCabe index: 1
number of parameters: 2

id: 7467
unit: def __init__()
file: official/vision/beta/modeling/layers/nn_layers.py
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McCabe index: 1
number of parameters: 3

id: 7468
unit: def __init__()
file: official/vision/beta/modeling/layers/nn_layers.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7469
unit: def _compute_causal_padding()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7470
unit: def _spatial_output_shape()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7471
unit: def _compute_causal_padding()
file: official/vision/beta/modeling/layers/nn_layers.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7472
unit: def __init__()
file: official/vision/beta/modeling/layers/nn_layers.py
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McCabe index: 1
number of parameters: 4

id: 7473
unit: def call()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7474
unit: def _compute_causal_padding()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7475
unit: def _spatial_output_shape()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7476
unit: def checkpoint_items()
file: official/vision/beta/modeling/video_classification_model.py
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size: 3 LOC
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number of parameters: 1

id: 7477
unit: def get_config()
file: official/vision/beta/modeling/heads/segmentation_heads.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7478
unit: def get_config()
file: official/vision/beta/modeling/decoders/aspp.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7479
unit: def read_image()
file: official/vision/beta/data/tfrecord_lib.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7480
unit: def check_and_make_dir()
file: official/vision/beta/data/tfrecord_lib.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7481
unit: def _decode_classes()
file: official/vision/beta/dataloaders/tf_example_label_map_decoder.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7482
unit: def read()
file: official/vision/beta/dataloaders/input_reader.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7483
unit: def concat_fn()
file: official/vision/beta/dataloaders/input_reader.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7484
unit: def maybe_map_fn()
file: official/vision/beta/dataloaders/input_reader.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7485
unit: def __init__()
file: official/vision/beta/dataloaders/video_input.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7486
unit: def decode()
file: official/vision/beta/dataloaders/segmentation_input.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7487
unit: def make_image_bytes()
file: official/vision/beta/dataloaders/tfexample_utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7488
unit: def decode()
file: official/vision/beta/dataloaders/classification_input.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7489
unit: def _generate_source_id()
file: official/vision/beta/dataloaders/tf_example_decoder.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7490
unit: def _set_values_using_indicator()
file: official/vision/beta/ops/box_matcher.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7491
unit: def translate()
file: official/vision/beta/ops/augment.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7492
unit: def color()
file: official/vision/beta/ops/augment.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7493
unit: def brightness()
file: official/vision/beta/ops/augment.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7494
unit: def posterize()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7495
unit: def wrapped_rotate()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7496
unit: def translate_x()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7497
unit: def translate_y()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7498
unit: def invert()
file: official/vision/beta/ops/augment.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7499
unit: def distort()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7500
unit: def distort()
file: official/vision/beta/ops/augment.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7501
unit: def __call__()
file: official/vision/beta/ops/augment.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7502
unit: def realdiv_maybe_zero()
file: official/vision/beta/evaluation/panoptic_quality.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7503
unit: def _ids_to_counts()
file: official/vision/beta/evaluation/panoptic_quality.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7504
unit: def _naively_combine_labels()
file: official/vision/beta/evaluation/panoptic_quality.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7505
unit: def reset_states()
file: official/vision/beta/evaluation/iou.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7506
unit: def build()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/paste_masks.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7507
unit: def __init__()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7508
unit: def _random_integer()
file: official/vision/beta/projects/centernet/ops/preprocess_ops.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7509
unit: def _get_shape()
file: official/vision/beta/projects/centernet/ops/loss_ops.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7510
unit: def smallest_positive_root()
file: official/vision/beta/projects/centernet/ops/target_assigner.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7511
unit: def build()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7512
unit: def _csp_connect()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7513
unit: def _spp()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7514
unit: def _sam()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7515
unit: def reduce_aggregated_logs()
file: official/vision/beta/projects/yolo/tasks/yolo.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7516
unit: def _get_decoder_fn()
file: official/vision/beta/projects/video_ssl/tasks/pretrain.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7517
unit: def backbone_trainable()
file: official/vision/beta/projects/simclr/modeling/simclr_model.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7518
unit: def decode()
file: official/vision/beta/projects/simclr/dataloaders/simclr_input.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7519
unit: def call()
file: official/vision/beta/projects/simclr/heads/simclr_head.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7520
unit: def __init__()
file: official/vision/beta/projects/simclr/losses/contrastive_losses.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7521
unit: def inference_from_image_tensors()
file: official/vision/beta/serving/export_base.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7522
unit: def inference_from_image_tensors()
file: official/vision/beta/serving/video_classification.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7523
unit: def inference_from_image_bytes()
file: official/vision/beta/serving/video_classification.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7524
unit: def __init__()
file: official/vision/beta/losses/maskrcnn_losses.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7525
unit: def __init__()
file: official/vision/beta/losses/maskrcnn_losses.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7526
unit: def __init__()
file: official/vision/beta/losses/maskrcnn_losses.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7527
unit: def matched_row_indices()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7528
unit: def encode()
file: official/vision/utils/object_detection/box_coder.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7529
unit: def decode()
file: official/vision/utils/object_detection/box_coder.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7530
unit: def _set_values_using_indicator()
file: official/vision/utils/object_detection/argmax_matcher.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7531
unit: def _visualize_boxes()
file: official/vision/utils/object_detection/visualization_utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 6

id: 7532
unit: def _create_regression_weights()
file: official/vision/utils/object_detection/target_assigner.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7533
unit: def get_task_cls()
file: official/core/task_factory.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7534
unit: def get_exp_config()
file: official/core/exp_factory.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7535
unit: def build_inputs()
file: official/core/base_task.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7536
unit: def build_metrics()
file: official/core/base_task.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7537
unit: def process_metrics()
file: official/core/base_task.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 5

id: 7538
unit: def join()
file: official/core/base_trainer.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7539
unit: def __call__()
file: official/core/actions.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7540
unit: def __init__()
file: official/utils/testing/mock_task.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7541
unit: def build_metrics()
file: official/utils/testing/mock_task.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7542
unit: def set_defaults()
file: official/utils/flags/core.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7543
unit: def parse_flags()
file: official/utils/flags/core.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7544
unit: def __init__()
file: official/utils/misc/keras_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7545
unit: def __repr__()
file: official/utils/misc/keras_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7546
unit: def __init__()
file: official/utils/misc/keras_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7547
unit: def on_epoch_end()
file: official/utils/misc/keras_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7548
unit: def set_session_config()
file: official/utils/misc/keras_utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7549
unit: def convert_to_softmax_logits()
file: official/recommendation/ncf_common.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7550
unit: def get_forkpool()
file: official/recommendation/popen_helper.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 7551
unit: def imap()
file: official/recommendation/popen_helper.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 4

id: 7552
unit: def get_fauxpool()
file: official/recommendation/popen_helper.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 7553
unit: def buffer_reached()
file: official/recommendation/data_pipeline.py
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end line: 0
size: 3 LOC
McCabe index: 3
number of parameters: 1

id: 7554
unit: def _count_batches()
file: official/recommendation/data_pipeline.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7555
unit: def create_optimizer()
file: official/recommendation/ranking/task.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7556
unit: def __init__()
file: official/recommendation/ncf_keras_main.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7557
unit: def on_train_end()
file: official/recommendation/ncf_keras_main.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7558
unit: def ratings_csv_to_dataframe()
file: official/recommendation/movielens.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7559
unit: def __init__()
file: official/projects/vit/modeling/nn_blocks.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7560
unit: def __init__()
file: official/projects/vit/modeling/vit.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7561
unit: def call()
file: official/projects/vit/modeling/vit.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7562
unit: def build()
file: official/projects/vit/modeling/vit.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7563
unit: def initial_state_specs()
file: official/projects/movinet/modeling/movinet_model.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7564
unit: def checkpoint_items()
file: official/projects/teams/teams_pretrainer.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7565
unit: def __init__()
file: official/projects/yt8m/dataloaders/yt8m_input.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7566
unit: def clear()
file: official/projects/yt8m/eval_utils/mean_average_precision_calculator.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7567
unit: def is_empty()
file: official/projects/yt8m/eval_utils/mean_average_precision_calculator.py
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end line: 0
size: 3 LOC
McCabe index: 3
number of parameters: 1

id: 7568
unit: def clear()
file: official/projects/yt8m/eval_utils/average_precision_calculator.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7569
unit: def reset_states()
file: official/projects/basnet/evaluation/metrics.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7570
unit: def reset_states()
file: official/projects/basnet/evaluation/metrics.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7571
unit: def reset_states()
file: official/projects/basnet/evaluation/metrics.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7572
unit: def to_dict()
file: official/projects/mobilebert/model_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7573
unit: def get_model()
file: official/projects/mobilebert/distillation.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7574
unit: def __init__()
file: official/projects/bigbird/recompute_grad.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7575
unit: def push()
file: official/projects/bigbird/recompute_grad.py
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McCabe index: 1
number of parameters: 2

id: 7576
unit: def distributed_logits_fn()
file: official/projects/triviaqa/prediction.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7577
unit: def __init__()
file: official/projects/triviaqa/preprocess.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7578
unit: def setup()
file: official/projects/triviaqa/preprocess.py
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McCabe index: 1
number of parameters: 1

id: 7579
unit: def __init__()
file: official/projects/nhnet/decoder.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7580
unit: def __call__()
file: official/projects/nhnet/decoder.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7581
unit: def get_bert_config_from_params()
file: official/projects/nhnet/utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7582
unit: def decode()
file: official/projects/volumetric_models/dataloaders/segmentation_input_3d.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7583
unit: def __init__()
file: official/projects/text_classification_example/classification_data_loader.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7584
unit: def load()
file: official/projects/text_classification_example/classification_data_loader.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7585
unit: def from_config()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model.py
start line: 0
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7586
unit: def _upsample2d()
file: official/projects/edgetpu/vision/modeling/heads/bifpn_head.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 7587
unit: def _fqop()
file: official/projects/edgetpu/vision/modeling/custom_layers.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7588
unit: def deeplabv3plus_mobilenet_edgetpuv2_m_ade20k()
file: official/projects/edgetpu/vision/configs/semantic_segmentation_config.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7589
unit: def deeplabv3plus_mobilenet_edgetpuv2_s_ade20k()
file: official/projects/edgetpu/vision/configs/semantic_segmentation_config.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7590
unit: def deeplabv3plus_mobilenet_edgetpuv2_xs_ade20k()
file: official/projects/edgetpu/vision/configs/semantic_segmentation_config.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7591
unit: def eval_begin()
file: official/projects/edgetpu/nlp/mobilebert_edgetpu_trainer.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7592
unit: def get_model_dir()
file: official/projects/edgetpu/nlp/utils/utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7593
unit: def __call__()
file: official/legacy/detection/modeling/architecture/resnet.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7594
unit: def _get_checkpoint_map()
file: official/legacy/detection/modeling/checkpoint_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7595
unit: def __init__()
file: official/legacy/detection/modeling/losses.py
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McCabe index: 1
number of parameters: 1

id: 7596
unit: def __init__()
file: official/legacy/detection/modeling/losses.py
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McCabe index: 1
number of parameters: 1

id: 7597
unit: def __init__()
file: official/legacy/detection/modeling/losses.py
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McCabe index: 1
number of parameters: 1

id: 7598
unit: def __init__()
file: official/legacy/detection/modeling/losses.py
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size: 3 LOC
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number of parameters: 2

id: 7599
unit: def __init__()
file: official/legacy/detection/modeling/losses.py
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size: 3 LOC
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number of parameters: 1

id: 7600
unit: def __init__()
file: official/legacy/detection/ops/postprocess_ops.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7601
unit: def main()
file: official/legacy/detection/main.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7602
unit: def get_padding()
file: official/legacy/transformer/model_utils.py
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size: 3 LOC
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number of parameters: 3

id: 7603
unit: def translate_from_input()
file: official/legacy/transformer/translate.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7604
unit: def _get_example_length()
file: official/legacy/transformer/data_pipeline.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7605
unit: def padded_neg_log_perplexity()
file: official/legacy/transformer/utils/metrics.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7606
unit: def padded_neg_log_perplexity()
file: official/legacy/transformer/metrics.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7607
unit: def _ensure_dir()
file: official/legacy/transformer/transformer_main.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7608
unit: def download_report_hook()
file: official/legacy/transformer/data_download.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7609
unit: def shard_filename()
file: official/legacy/transformer/data_download.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7610
unit: def to_dict()
file: official/legacy/bert/configs.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7611
unit: def export_squad()
file: official/legacy/bert/run_squad.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7612
unit: def serve()
file: official/legacy/bert/serving.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7613
unit: def _build()
file: official/legacy/image_classification/dataset_factory.py
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size: 3 LOC
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id: 7614
unit: def from_params()
file: official/legacy/image_classification/dataset_factory.py
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size: 3 LOC
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number of parameters: 3

id: 7615
unit: def _gen_l2_regularizer()
file: official/legacy/image_classification/resnet/resnet_model.py
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size: 3 LOC
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number of parameters: 2

id: 7616
unit: def eval_begin()
file: official/legacy/image_classification/resnet/resnet_runnable.py
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size: 3 LOC
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number of parameters: 1

id: 7617
unit: def _epoch_begin()
file: official/legacy/image_classification/resnet/resnet_runnable.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7618
unit: def _epoch_end()
file: official/legacy/image_classification/resnet/resnet_runnable.py
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size: 3 LOC
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number of parameters: 1

id: 7619
unit: def _gen_l2_regularizer()
file: official/legacy/image_classification/vgg/vgg_model.py
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size: 3 LOC
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number of parameters: 2

id: 7620
unit: def translate()
file: official/legacy/image_classification/augment.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7621
unit: def color()
file: official/legacy/image_classification/augment.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7622
unit: def brightness()
file: official/legacy/image_classification/augment.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7623
unit: def posterize()
file: official/legacy/image_classification/augment.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7624
unit: def wrapped_rotate()
file: official/legacy/image_classification/augment.py
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size: 3 LOC
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number of parameters: 3

id: 7625
unit: def translate_x()
file: official/legacy/image_classification/augment.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7626
unit: def translate_y()
file: official/legacy/image_classification/augment.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7627
unit: def invert()
file: official/legacy/image_classification/augment.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7628
unit: def _calculate_metrics()
file: official/legacy/image_classification/callbacks.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7629
unit: def _calculate_lr()
file: official/legacy/image_classification/callbacks.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7630
unit: def __init__()
file: official/legacy/image_classification/callbacks.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7631
unit: def on_train_end()
file: official/legacy/image_classification/callbacks.py
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size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 7632
unit: def call()
file: official/nlp/modeling/layers/kernel_attention.py
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McCabe index: 1
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id: 7633
unit: def get_config()
file: official/nlp/modeling/layers/masked_lm.py
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id: 7634
unit: def reset_covariance_matrix()
file: official/nlp/modeling/layers/cls_head.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7635
unit: def compute_output_shape()
file: official/nlp/modeling/layers/gaussian_process.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7636
unit: def _tokenize()
file: official/nlp/modeling/layers/text_layers.py
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McCabe index: 1
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id: 7637
unit: def __init__()
file: official/nlp/modeling/layers/bigbird_attention.py
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McCabe index: 1
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id: 7638
unit: def _build_attention()
file: official/nlp/modeling/layers/multi_channel_attention.py
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size: 3 LOC
McCabe index: 1
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id: 7639
unit: def call()
file: official/nlp/modeling/layers/mobile_bert_layers.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7640
unit: def get_config()
file: official/nlp/modeling/layers/mobile_bert_layers.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7641
unit: def greedy()
file: official/nlp/modeling/ops/sampling_module.py
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McCabe index: 1
number of parameters: 1

id: 7642
unit: def _apply_paragraph_mask()
file: official/nlp/modeling/networks/span_labeling.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7643
unit: def _split_output_tensor()
file: official/nlp/modeling/networks/span_labeling.py
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size: 3 LOC
McCabe index: 1
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id: 7644
unit: def __init__()
file: official/nlp/modeling/models/t5.py
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id: 7645
unit: def __init__()
file: official/nlp/modeling/models/t5.py
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number of parameters: 3

id: 7646
unit: def checkpoint_items()
file: official/nlp/modeling/models/electra_pretrainer.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7647
unit: def checkpoint_items()
file: official/nlp/modeling/models/dual_encoder.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7648
unit: def _get_example_length()
file: official/nlp/data/wmt_dataloader.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7649
unit: def __init__()
file: official/nlp/data/sentence_retrieval_lib.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7650
unit: def __init__()
file: official/nlp/data/sentence_retrieval_lib.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7651
unit: def get_test_examples()
file: official/nlp/data/sentence_retrieval_lib.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7652
unit: def add_word_and_label_id()
file: official/nlp/data/tagging_data_lib.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7653
unit: def get_train_examples()
file: official/nlp/data/classifier_data_lib.py
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size: 3 LOC
McCabe index: 1
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id: 7654
unit: def get_dev_examples()
file: official/nlp/data/classifier_data_lib.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7655
unit: def get_test_examples()
file: official/nlp/data/classifier_data_lib.py
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size: 3 LOC
McCabe index: 1
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id: 7656
unit: def get_test_examples()
file: official/nlp/data/classifier_data_lib.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7657
unit: def write_to_json_files()
file: official/nlp/data/squad_lib.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7658
unit: def to_example()
file: official/nlp/data/create_xlnet_pretraining_data.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7659
unit: def write_to_json_files()
file: official/nlp/data/squad_lib_sp.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7660
unit: def create_int_feature()
file: official/nlp/data/create_pretraining_data.py
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McCabe index: 1
number of parameters: 1

id: 7661
unit: def create_float_feature()
file: official/nlp/data/create_pretraining_data.py
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size: 3 LOC
McCabe index: 1
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id: 7662
unit: def get_data_loader()
file: official/nlp/data/data_loader_factory.py
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size: 3 LOC
McCabe index: 1
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id: 7663
unit: def load()
file: official/nlp/data/data_loader.py
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size: 3 LOC
McCabe index: 1
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id: 7664
unit: def __call__()
file: official/nlp/xlnet/xlnet_modeling.py
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size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 7665
unit: def get_train_examples()
file: official/nlp/xlnet/preprocess_classification_data.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7666
unit: def get_dev_examples()
file: official/nlp/xlnet/preprocess_classification_data.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7667
unit: def init_from_dict()
file: official/nlp/xlnet/xlnet_config.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7668
unit: def init_from_flags()
file: official/nlp/xlnet/xlnet_config.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7669
unit: def _get_tokens()
file: official/nlp/tools/squad_evaluate_v2_0.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7670
unit: def _merge_eval()
file: official/nlp/tools/squad_evaluate_v2_0.py
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size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 7671
unit: def __init__()
file: official/nlp/tools/tokenization.py
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size: 3 LOC
McCabe index: 1
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id: 7672
unit: def _id_key()
file: orbit/actions/export_saved_model.py
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size: 3 LOC
McCabe index: 1
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id: 7673
unit: def __init__()
file: orbit/actions/export_saved_model.py
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size: 3 LOC
McCabe index: 2
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id: 7674
unit: def _log()
file: orbit/controller.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7675
unit: def save_checkpoint()
file: orbit/controller.py
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size: 3 LOC
McCabe index: 1
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id: 7676
unit: def __init__()
file: orbit/controller.py
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size: 3 LOC
McCabe index: 1
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id: 7677
unit: def start()
file: orbit/controller.py
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McCabe index: 1
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id: 7678
unit: def flush()
file: orbit/utils/summary_manager.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7679
unit: def train_dataset()
file: orbit/standard_runner.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7680
unit: def eval_dataset()
file: orbit/standard_runner.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7681
unit: def loss_func()
file: research/vid2depth/ops/icp_train_demo.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7682
unit: pcl::CorrespondencesPtr getCorrespondencesPtr()
file: research/vid2depth/ops/icp_op_kernel.cc
start line: 46
end line: 48
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7683
unit: def get_seq_middle()
file: research/vid2depth/util.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7684
unit: def format_number()
file: research/vid2depth/util.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7685
unit: def _pixel2cam()
file: research/vid2depth/project.py
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McCabe index: 1
number of parameters: 3

id: 7686
unit: def periodic_context_fn()
file: research/efficient-hrl/context/context_transition_functions.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7687
unit: def __init__()
file: research/efficient-hrl/context/samplers.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7688
unit: def __init__()
file: research/efficient-hrl/context/samplers.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7689
unit: def sample_random_contexts()
file: research/efficient-hrl/context/context.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7690
unit: def context_multi_transition_fn()
file: research/efficient-hrl/context/context.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7691
unit: def plain_rewards()
file: research/efficient-hrl/context/rewards_functions.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 7692
unit: def current_obs()
file: research/efficient-hrl/environments/create_maze_env.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7693
unit: def can_move_x()
file: research/efficient-hrl/environments/maze_env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7694
unit: def can_move_y()
file: research/efficient-hrl/environments/maze_env_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7695
unit: def main()
file: research/efficient-hrl/run_env.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7696
unit: def clip_to_bounds()
file: research/efficient-hrl/utils/utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7697
unit: def actor_loss()
file: research/efficient-hrl/agent.py
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size: 3 LOC
McCabe index: 1
number of parameters: 6

id: 7698
unit: def action()
file: research/efficient-hrl/agent.py
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McCabe index: 1
number of parameters: 3

id: 7699
unit: def actions()
file: research/efficient-hrl/agent.py
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McCabe index: 1
number of parameters: 3

id: 7700
unit: def get_env_base_wrapper()
file: research/efficient-hrl/agent.py
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McCabe index: 1
number of parameters: 3

id: 7701
unit: def get_trainable_critic_vars()
file: research/efficient-hrl/agents/ddpg_agent.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7702
unit: def get_trainable_actor_vars()
file: research/efficient-hrl/agents/ddpg_agent.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7703
unit: def get_critic_vars()
file: research/efficient-hrl/agents/ddpg_agent.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7704
unit: def get_actor_vars()
file: research/efficient-hrl/agents/ddpg_agent.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7705
unit: def pil_wrap()
file: research/autoaugment/augmentation_transforms.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7706
unit: def __init__()
file: research/autoaugment/augmentation_transforms.py
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McCabe index: 1
number of parameters: 3

id: 7707
unit: def __init__()
file: research/autoaugment/augmentation_transforms.py
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McCabe index: 1
number of parameters: 3

id: 7708
unit: def do_transform()
file: research/autoaugment/augmentation_transforms.py
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McCabe index: 1
number of parameters: 3

id: 7709
unit: def _posterize_impl()
file: research/autoaugment/augmentation_transforms.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7710
unit: def _solarize_impl()
file: research/autoaugment/augmentation_transforms.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7711
unit: void Free()
file: research/seq_flow_lite/tflite_ops/expected_value.cc
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end line: 60
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7712
unit: void WordNoveltyFeature()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 141
end line: 143
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7713
unit: void Hash()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
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end line: 168
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7714
unit: inline bool IsDynamicTensor()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
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end line: 298
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7715
unit: void Free()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
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end line: 380
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7716
unit: inline float PodDequantize()
file: research/seq_flow_lite/tflite_ops/quantization_util.h
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end line: 36
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McCabe index: 1
number of parameters: 2

id: 7717
unit: def _assert_rank_and_type()
file: research/seq_flow_lite/layers/base_layers.py
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McCabe index: 1
number of parameters: 4

id: 7718
unit: def __init__()
file: research/seq_flow_lite/layers/normalization_layers.py
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McCabe index: 1
number of parameters: 3

id: 7719
unit: def _create_normalizer()
file: research/seq_flow_lite/layers/dense_layers.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7720
unit: def __init__()
file: research/seq_flow_lite/layers/quantization_layers.py
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McCabe index: 1
number of parameters: 3

id: 7721
unit: def __init__()
file: research/seq_flow_lite/layers/misc_layers.py
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McCabe index: 1
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id: 7722
unit: def __init__()
file: research/seq_flow_lite/layers/qrnn_layers.py
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size: 3 LOC
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number of parameters: 3

id: 7723
unit: def _create_normalizer()
file: research/seq_flow_lite/layers/conv_layers.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7724
unit: def __init__()
file: research/seq_flow_lite/utils/tflite_utils.py
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size: 3 LOC
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number of parameters: 3

id: 7725
unit: explicit ProjectionTokenizer()
file: research/seq_flow_lite/tf_ops/projection_tokenizer_util.h
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end line: 34
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7726
unit: bool IsValidUnicode()
file: research/seq_flow_lite/tf_ops/projection_util.h
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size: 3 LOC
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number of parameters: 1

id: 7727
unit: int UnicodeIndex()
file: research/seq_flow_lite/tf_ops/projection_util.h
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7728
unit: def load_runner_config()
file: research/seq_flow_lite/trainer.py
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size: 3 LOC
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id: 7729
unit: def load_runner_config()
file: research/seq_flow_lite/trainer_v2.py
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id: 7730
unit: def __init__()
file: research/seq_flow_lite/models/pqrnn.py
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size: 3 LOC
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number of parameters: 4

id: 7731
unit: def call()
file: research/seq_flow_lite/models/pqrnn.py
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size: 3 LOC
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number of parameters: 2

id: 7732
unit: void Free()
file: research/seq_flow_lite/models/sgnn/sgnn_projection.cc
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size: 3 LOC
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number of parameters: 2

id: 7733
unit: def __init__()
file: research/seq_flow_lite/models/prado.py
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id: 7734
unit: def call()
file: research/seq_flow_lite/models/prado.py
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id: 7735
unit: def __init__()
file: research/cvt_text/corpus_processing/scorer.py
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number of parameters: 1

id: 7736
unit: def results_str()
file: research/cvt_text/corpus_processing/scorer.py
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number of parameters: 1

id: 7737
unit: def __init__()
file: research/cvt_text/task_specific/word_level/tagging_scorers.py
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number of parameters: 2

id: 7738
unit: def __init__()
file: research/cvt_text/task_specific/word_level/tagging_scorers.py
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number of parameters: 1

id: 7739
unit: def __init__()
file: research/cvt_text/task_specific/word_level/tagging_scorers.py
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number of parameters: 2

id: 7740
unit: def get_module()
file: research/cvt_text/task_specific/task_definitions.py
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id: 7741
unit: def get_module()
file: research/cvt_text/task_specific/task_definitions.py
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number of parameters: 3

id: 7742
unit: def get_scorer()
file: research/cvt_text/task_specific/task_definitions.py
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McCabe index: 1
number of parameters: 1

id: 7743
unit: def project()
file: research/cvt_text/model/model_helpers.py
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McCabe index: 2
number of parameters: 3

id: 7744
unit: def multi_lstm_cell()
file: research/cvt_text/model/model_helpers.py
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McCabe index: 2
number of parameters: 3

id: 7745
unit: def __init__()
file: research/cvt_text/model/task_module.py
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number of parameters: 1

id: 7746
unit: def _get_consistency_loss()
file: research/cvt_text/model/multitask_model.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7747
unit: def train_unlabeled()
file: research/cvt_text/model/multitask_model.py
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McCabe index: 1
number of parameters: 3

id: 7748
unit: def __init__()
file: research/cvt_text/base/utils.py
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McCabe index: 1
number of parameters: 2

id: 7749
unit: def _load_cpickle()
file: research/cvt_text/base/utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7750
unit: def _write()
file: research/cvt_text/base/embeddings.py
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McCabe index: 1
number of parameters: 1

id: 7751
unit: def write()
file: research/adversarial_text/data/data_utils.py
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McCabe index: 1
number of parameters: 2

id: 7752
unit: def add_token()
file: research/adversarial_text/data/data_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7753
unit: def set_label()
file: research/adversarial_text/data/data_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7754
unit: def set_weight()
file: research/adversarial_text/data/data_utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7755
unit: def __iter__()
file: research/adversarial_text/data/data_utils.py
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size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7756
unit: def sort_vocab_by_frequency()
file: research/adversarial_text/data/data_utils.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7757
unit: def pretrained_variables()
file: research/adversarial_text/graphs.py
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McCabe index: 1
number of parameters: 1

id: 7758
unit: def SerializeToString()
file: research/delf/delf/python/box_io.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7759
unit: def ReadFromFile()
file: research/delf/delf/python/box_io.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7760
unit: def SerializeToString()
file: research/delf/delf/python/datum_io.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7761
unit: def SerializePairToString()
file: research/delf/delf/python/datum_io.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7762
unit: def ReadFromFile()
file: research/delf/delf/python/datum_io.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7763
unit: def ReadPairFromFile()
file: research/delf/delf/python/datum_io.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7764
unit: def default_loader()
file: research/delf/delf/python/datasets/utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7765
unit: def __init__()
file: research/delf/delf/python/normalization_layers/normalization.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7766
unit: def __init__()
file: research/delf/delf/python/detect_to_retrieve/cluster_delf_features.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7767
unit: def after_create_session()
file: research/delf/delf/python/detect_to_retrieve/cluster_delf_features.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7768
unit: def ReadFromFile()
file: research/delf/delf/python/feature_io.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7769
unit: def _record_accuracy()
file: research/delf/delf/python/training/train.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7770
unit: def _learning_rate_schedule()
file: research/delf/delf/python/training/train.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7771
unit: def _NormalizeImages()
file: research/delf/delf/python/training/model/export_CNN_global.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7772
unit: def ExtractFeaturesFixedScales()
file: research/delf/delf/python/training/model/export_CNN_global.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7773
unit: def ExtractFeaturesFixedScales()
file: research/delf/delf/python/training/model/export_global_model.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7774
unit: def call()
file: research/delf/delf/python/training/model/delf_model.py
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McCabe index: 1
number of parameters: 3

id: 7775
unit: def __call__()
file: research/delf/delf/python/training/losses/ranking_losses.py
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McCabe index: 1
number of parameters: 4

id: 7776
unit: def __init__()
file: research/delf/delf/python/training/losses/ranking_losses.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7777
unit: def center()
file: research/rebar/utils.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7778
unit: def _create_eta()
file: research/rebar/rebar.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7779
unit: def _reshape()
file: research/rebar/rebar.py
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McCabe index: 1
number of parameters: 2

id: 7780
unit: def _random_sample_soft_v()
file: research/rebar/rebar.py
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size: 3 LOC
McCabe index: 1
number of parameters: 5

id: 7781
unit: bool MobileSSDClient::RequiresPostProcessing()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
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end line: 111
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7782
unit: virtual void InitParams()
file: research/lstm_object_detection/tflite/mobile_ssd_client.h
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end line: 116
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7783
unit: int MobileSSDTfLiteClient::GetNumberOfKeypoints()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 154
end line: 156
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7784
unit: def state_size()
file: research/lstm_object_detection/lstm/lstm_cells.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7785
unit: def state_size()
file: research/lstm_object_detection/lstm/lstm_cells.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7786
unit: def random_step_sequence()
file: research/cognitive_planning/envs/task_env.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7787
unit: def targets()
file: research/cognitive_planning/envs/task_env.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7788
unit: def state()
file: research/cognitive_planning/envs/task_env.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7789
unit: def graph()
file: research/cognitive_planning/envs/task_env.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7790
unit: def vertex_to_pose()
file: research/cognitive_planning/envs/task_env.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7791
unit: def pose_to_vertex()
file: research/cognitive_planning/envs/task_env.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7792
unit: def observation()
file: research/cognitive_planning/envs/task_env.py
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McCabe index: 1
number of parameters: 2

id: 7793
unit: def action()
file: research/cognitive_planning/envs/task_env.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7794
unit: def __init__()
file: research/cognitive_planning/policies.py
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McCabe index: 1
number of parameters: 3

id: 7795
unit: def build()
file: research/cognitive_planning/policies.py
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McCabe index: 1
number of parameters: 3

id: 7796
unit: def embed()
file: research/cognitive_planning/policies.py
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McCabe index: 1
number of parameters: 1

id: 7797
unit: def __init__()
file: research/cognitive_planning/policies.py
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McCabe index: 1
number of parameters: 4

id: 7798
unit: def _visualize_boxes()
file: research/cognitive_planning/visualization_utils.py
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McCabe index: 1
number of parameters: 6

id: 7799
unit: def build()
file: research/cognitive_planning/embedders.py
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McCabe index: 1
number of parameters: 2

id: 7800
unit: def __init__()
file: research/cognitive_planning/embedders.py
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McCabe index: 1
number of parameters: 3

id: 7801
unit: def _global_avg_pooling()
file: research/cognitive_planning/embedders.py
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McCabe index: 1
number of parameters: 2

id: 7802
unit: def __init__()
file: research/cognitive_planning/embedders.py
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McCabe index: 1
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id: 7803
unit: def target_loss()
file: research/cognitive_planning/tasks.py
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McCabe index: 1
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id: 7804
unit: def target_loss()
file: research/cognitive_planning/tasks.py
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McCabe index: 1
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id: 7805
unit: def target_loss()
file: research/cognitive_planning/tasks.py
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McCabe index: 1
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id: 7806
unit: def __init__()
file: research/cognitive_planning/tasks.py
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McCabe index: 1
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id: 7807
unit: def __init__()
file: research/pcl_rl/optimizers.py
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McCabe index: 1
number of parameters: 3

id: 7808
unit: def setup_placeholders()
file: research/pcl_rl/optimizers.py
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McCabe index: 1
number of parameters: 1

id: 7809
unit: def get_optimizer()
file: research/pcl_rl/optimizers.py
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McCabe index: 1
number of parameters: 1

id: 7810
unit: def setup_placeholders()
file: research/pcl_rl/optimizers.py
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McCabe index: 1
number of parameters: 1

id: 7811
unit: def setup_placeholders()
file: research/pcl_rl/optimizers.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7812
unit: def seed_buffer()
file: research/pcl_rl/replay_buffer.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7813
unit: def remove_n()
file: research/pcl_rl/replay_buffer.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7814
unit: def get_batch()
file: research/pcl_rl/replay_buffer.py
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size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7815
unit: def __init__()
file: research/pcl_rl/trust_region.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7816
unit: def setup_placeholders()
file: research/pcl_rl/trust_region.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7817
unit: def input_dim()
file: research/pcl_rl/policy.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7818
unit: def __init__()
file: research/pcl_rl/objective.py
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McCabe index: 1
number of parameters: 3

id: 7819
unit: def get_optimizer()
file: research/pcl_rl/objective.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7820
unit: def logp()
file: research/lfads/distributions.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7821
unit: def diag_gaussian_log_likelihood()
file: research/lfads/distributions.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7822
unit: def write_model_runs()
file: research/lfads/run_lfads.py
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size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7823
unit: def create_dataset()
file: research/attention_ocr/python/common_flags.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7824
unit: def create_model()
file: research/attention_ocr/python/common_flags.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7825
unit: def char_one_hot()
file: research/attention_ocr/python/sequence_layers.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7826
unit: def get_eval_input()
file: research/attention_ocr/python/sequence_layers.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7827
unit: def get_eval_input()
file: research/attention_ocr/python/sequence_layers.py
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size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 7828
unit: def get_text()
file: research/attention_ocr/python/model.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7829
unit: def max_char_logprob_cumsum()
file: research/attention_ocr/python/model.py
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end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7830
unit: def find_length_by_null()
file: research/attention_ocr/python/model.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7831
unit: def _ConvertBoxToCOCOFormat()
file: research/object_detection/metrics/coco_tools.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7832
unit: def _ConvertBoxToCOCOFormat()
file: research/object_detection/metrics/lvis_tools.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7833
unit: def _build_experimental_model()
file: research/object_detection/builders/model_builder.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7834
unit: def use_bias()
file: research/object_detection/builders/hyperparams_builder.py
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end line: 0
size: 3 LOC
McCabe index: 3
number of parameters: 1

id: 7835
unit: def num_matched_rows()
file: research/object_detection/core/matcher.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7836
unit: def __init__()
file: research/object_detection/core/box_predictor.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7837
unit: def compare()
file: research/object_detection/core/region_similarity_calculator.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7838
unit: def __init__()
file: research/object_detection/core/region_similarity_calculator.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7839
unit: def encode()
file: research/object_detection/core/box_coder.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7840
unit: def decode()
file: research/object_detection/core/box_coder.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7841
unit: def _random_integer()
file: research/object_detection/core/preprocessor.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7842
unit: def _rot90_masks()
file: research/object_detection/core/preprocessor.py
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size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7843
unit: def autoaugment_image()
file: research/object_detection/core/preprocessor.py
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size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7844
unit: def _get_loss_multiplier_for_tensor()
file: research/object_detection/core/losses.py
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end line: 0
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number of parameters: 3

id: 7845
unit: def __init__()
file: research/object_detection/core/losses.py
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size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7846
unit: def __init__()
file: research/object_detection/core/losses.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7847
unit: def __init__()
file: research/object_detection/core/losses.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7848
unit: def _scale_and_softmax_logits()
file: research/object_detection/core/losses.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7849
unit: def __init__()
file: research/object_detection/core/freezable_batch_norm.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7850
unit: def _create_regression_weights()
file: research/object_detection/core/target_assigner.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7851
unit: def _smallest_positive_root()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7852
unit: def __init__()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7853
unit: def __init__()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7854
unit: def __init__()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7855
unit: def __init__()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7856
unit: def __init__()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7857
unit: def __init__()
file: research/object_detection/core/freezable_sync_batch_norm.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7858
unit: def __init__()
file: research/object_detection/matchers/bipartite_matcher.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7859
unit: def _set_values_using_indicator()
file: research/object_detection/matchers/argmax_matcher.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7860
unit: def num_anchors_per_location()
file: research/object_detection/anchor_generators/multiscale_grid_anchor_generator.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7861
unit: def intersection()
file: research/object_detection/utils/np_box_mask_list_ops.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7862
unit: def iou()
file: research/object_detection/utils/np_box_mask_list_ops.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7863
unit: def Dump()
file: research/object_detection/utils/json_utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 4

id: 7864
unit: def area()
file: research/object_detection/utils/np_box_list_ops.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7865
unit: def replace_nan_groundtruth_label_scores_with_ones()
file: research/object_detection/utils/ops.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7866
unit: def clear()
file: research/object_detection/utils/object_detection_evaluation.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7867
unit: def create_category_index_from_labelmap()
file: research/object_detection/utils/label_map_util.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7868
unit: def _validate_message_has_field()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7869
unit: def _update_all_eval_input_configs()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 7870
unit: def _update_label_map_path()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7871
unit: def _update_mask_type()
file: research/object_detection/utils/config_util.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7872
unit: def get_batch_size()
file: research/object_detection/utils/static_shape.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7873
unit: def get_height()
file: research/object_detection/utils/static_shape.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7874
unit: def get_width()
file: research/object_detection/utils/static_shape.py
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end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7875
unit: def get_depth()
file: research/object_detection/utils/static_shape.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7876
unit: def __init__()
file: research/object_detection/utils/bifpn_utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7877
unit: def is_object_based_checkpoint()
file: research/object_detection/model_lib_v2.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7878
unit: def classification_backbone()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7879
unit: def _get_shape()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7880
unit: def set_trainability_by_layer_traversal()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7881
unit: def build()
file: research/object_detection/meta_architectures/context_rcnn_lib_tf2.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7882
unit: def call()
file: research/object_detection/meta_architectures/context_rcnn_lib_tf2.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7883
unit: def _extract_features()
file: research/object_detection/meta_architectures/ssd_meta_arch_test_lib.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7884
unit: def get_box_classifier_feature_extractor_model()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7885
unit: def test_postprocess_first_stage_only_train_mode_padded_image()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7886
unit: def extract_proposal_features()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7887
unit: def _image_batch_shape_2d()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7888
unit: def crop_and_resize_feature_map()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7889
unit: def embedding_projection()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7890
unit: def __call__()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7891
unit: def _resize_logits_like_gt()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7892
unit: def __call__()
file: research/object_detection/exporter_lib_v2.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7893
unit: def __init__()
file: research/object_detection/dataset_tools/oid_hierarchical_labels_expansion.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7894
unit: def get_class_name_from_filename()
file: research/object_detection/dataset_tools/create_pet_tf_record.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7895
unit: def _load_inference_model()
file: research/object_detection/dataset_tools/context_rcnn/generate_detection_data.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7896
unit: def add_keys()
file: research/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7897
unit: def _load_inference_model()
file: research/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7898
unit: def _scale_keypoint_to_absolute()
file: research/object_detection/eval_util.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7899
unit: def has_densepose()
file: research/object_detection/eval_util.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 1

id: 7900
unit: def _FixedPaddingLayer()
file: research/object_detection/models/keras_models/resnet_v1.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7901
unit: def MaxPooling2D()
file: research/object_detection/models/keras_models/resnet_v1.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7902
unit: def _FixedPaddingLayer()
file: research/object_detection/models/keras_models/mobilenet_v1.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7903
unit: def __init__()
file: research/object_detection/models/keras_models/hourglass_network.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7904
unit: def _swish6()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7905
unit: def _get_bifpn_output_node_names()
file: research/object_detection/models/bidirectional_feature_pyramid_generators.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 7906
unit: def _create_modified_mobilenet_config()
file: research/object_detection/models/ssd_mobilenet_v2_fpn_keras_feature_extractor.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 0

id: 7907
unit: def _maybe_pad()
file: research/object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 3

id: 7908
unit: def __init__()
file: research/slim/datasets/download_and_convert_flowers.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7909
unit: def read_image_dims()
file: research/slim/datasets/download_and_convert_flowers.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7910
unit: def download_and_uncompress_tarball()
file: research/slim/datasets/dataset_utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7911
unit: def png_to_jpeg()
file: research/slim/datasets/build_imagenet_data.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7912
unit: def cmyk_to_rgb()
file: research/slim/datasets/build_imagenet_data.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7913
unit: def op()
file: research/slim/nets/mobilenet/mobilenet.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7914
unit: def hard_swish()
file: research/slim/nets/mobilenet/mobilenet_v3.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7915
unit: def mobilenet_base()
file: research/slim/nets/mobilenet/mobilenet_v3.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7916
unit: def _operation_to_pooling_type()
file: research/slim/nets/nasnet/nasnet_utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7917
unit: def _update_hparams()
file: research/slim/nets/nasnet/nasnet.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 2
number of parameters: 2

id: 7918
unit: def batch_norm()
file: research/deep_speech/deep_speech_model.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7919
unit: def read_image_dims()
file: research/deeplab/datasets/build_data.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7920
unit: def main()
file: research/deeplab/datasets/build_cityscapes_data.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 4
number of parameters: 1

id: 7921
unit: def resize_bilinear()
file: research/deeplab/core/utils.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7922
unit: def _preprocess_zero_mean_unit_range()
file: research/deeplab/core/feature_extractor.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7923
unit: def result_per_category()
file: research/deeplab/evaluation/parsing_covering.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7924
unit: def merge()
file: research/deeplab/evaluation/parsing_covering.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7925
unit: def _ids_to_counts()
file: research/deeplab/evaluation/panoptic_quality.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7926
unit: def realdiv_maybe_zero()
file: research/deeplab/evaluation/base_metric.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 2

id: 7927
unit: def _naively_combine_labels()
file: research/deeplab/evaluation/base_metric.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 3

id: 7928
unit: def _open_panoptic_id_image()
file: research/deeplab/evaluation/eval_coco_format.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7929
unit: def wav_read()
file: research/audioset/vggish/vggish_input.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7930
unit: def periodic_hann()
file: research/audioset/vggish/mel_features.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7931
unit: def hertz_to_mel()
file: research/audioset/vggish/mel_features.py
start line: 0
end line: 0
size: 3 LOC
McCabe index: 1
number of parameters: 1

id: 7932
unit: def is_special_none_tensor()
file: official/modeling/tf_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 7933
unit: def __contains__()
file: official/modeling/hyperparams/params_dict.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7934
unit: def get()
file: official/modeling/hyperparams/params_dict.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 7935
unit: def lock()
file: official/modeling/hyperparams/params_dict.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7936
unit: def BUILDER()
file: official/modeling/hyperparams/base_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7937
unit: def from_json()
file: official/modeling/hyperparams/base_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7938
unit: def _resource_apply_sparse()
file: official/modeling/optimization/lars_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 7939
unit: def from_config()
file: official/modeling/optimization/lars_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 7940
unit: def has_shadow_copy()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 7941
unit: def _create_slots()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7942
unit: def _create_hypers()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7943
unit: def _prepare()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7944
unit: def iterations()
file: official/modeling/optimization/ema_optimizer.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7945
unit: def iterations()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7946
unit: def weights()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7947
unit: def variables()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7948
unit: def lr()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7949
unit: def lr()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7950
unit: def learning_rate()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7951
unit: def learning_rate()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7952
unit: def _resource_apply_dense()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 7953
unit: def _resource_apply_sparse()
file: official/modeling/optimization/ema_optimizer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 7954
unit: def strategy()
file: official/modeling/multitask/evaluator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7955
unit: def tasks()
file: official/modeling/multitask/evaluator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7956
unit: def model()
file: official/modeling/multitask/evaluator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7957
unit: def global_step()
file: official/modeling/multitask/evaluator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7958
unit: def checkpoint()
file: official/modeling/multitask/evaluator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7959
unit: def sub_tasks()
file: official/modeling/multitask/base_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7960
unit: def initialize()
file: official/modeling/multitask/base_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7961
unit: def checkpoint()
file: official/modeling/multitask/base_trainer.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7962
unit: def strategy()
file: official/modeling/multitask/base_trainer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7963
unit: def multi_task()
file: official/modeling/multitask/base_trainer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7964
unit: def multi_task_model()
file: official/modeling/multitask/base_trainer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7965
unit: def optimizer()
file: official/modeling/multitask/base_trainer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7966
unit: def global_step()
file: official/modeling/multitask/base_trainer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7967
unit: def task_step_counter()
file: official/modeling/multitask/interleaving_trainer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7968
unit: def __init__()
file: official/modeling/multitask/task_sampler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 7969
unit: def task_weights()
file: official/modeling/multitask/task_sampler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7970
unit: def task_cumulative_distribution()
file: official/modeling/multitask/task_sampler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7971
unit: def tasks()
file: official/modeling/multitask/multitask.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7972
unit: def task_weight()
file: official/modeling/multitask/multitask.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7973
unit: def task_weights()
file: official/modeling/multitask/multitask.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7974
unit: def gelu()
file: official/modeling/activations/gelu.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7975
unit: def num_stages()
file: official/modeling/fast_training/progressive/policies.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7976
unit: def num_steps()
file: official/modeling/fast_training/progressive/policies.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7977
unit: def get_optimizer()
file: official/modeling/fast_training/progressive/policies.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7978
unit: def get_train_dataset()
file: official/modeling/fast_training/progressive/policies.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7979
unit: def get_eval_dataset()
file: official/modeling/fast_training/progressive/policies.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7980
unit: def cur_model()
file: official/modeling/fast_training/progressive/policies.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7981
unit: def cur_optimizer()
file: official/modeling/fast_training/progressive/policies.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7982
unit: def cur_checkpoint_items()
file: official/modeling/fast_training/progressive/policies.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7983
unit: def model()
file: official/modeling/fast_training/progressive/trainer.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7984
unit: def optimizer()
file: official/modeling/fast_training/progressive/trainer.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7985
unit: def train_dataset()
file: official/modeling/fast_training/progressive/trainer.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7986
unit: def eval_dataset()
file: official/modeling/fast_training/progressive/trainer.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7987
unit: def expand_vector()
file: official/modeling/fast_training/experimental/tf2_utils_2x_wide.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7988
unit: def register_model_builder()
file: official/vision/beta/modeling/factory_3d.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7989
unit: def get_config()
file: official/vision/beta/modeling/layers/roi_sampler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7990
unit: def from_config()
file: official/vision/beta/modeling/layers/roi_sampler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7991
unit: def get_config()
file: official/vision/beta/modeling/layers/roi_generator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7992
unit: def from_config()
file: official/vision/beta/modeling/layers/roi_generator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 7993
unit: def get_config()
file: official/vision/beta/modeling/layers/detection_generator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7994
unit: def from_config()
file: official/vision/beta/modeling/layers/detection_generator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7995
unit: def get_config()
file: official/vision/beta/modeling/layers/detection_generator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7996
unit: def from_config()
file: official/vision/beta/modeling/layers/detection_generator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 7997
unit: def get_config()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 7998
unit: def from_config()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 7999
unit: def output_specs()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8000
unit: def use_buffered_input()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8001
unit: def use_buffered_input()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8002
unit: def _validate_init()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8003
unit: def _validate_init()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8004
unit: def _validate_init()
file: official/vision/beta/modeling/layers/nn_layers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8005
unit: def get_config()
file: official/vision/beta/modeling/layers/box_sampler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8006
unit: def from_config()
file: official/vision/beta/modeling/layers/box_sampler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8007
unit: def get_config()
file: official/vision/beta/modeling/layers/roi_aligner.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8008
unit: def from_config()
file: official/vision/beta/modeling/layers/roi_aligner.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8009
unit: def get_config()
file: official/vision/beta/modeling/layers/mask_sampler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8010
unit: def from_config()
file: official/vision/beta/modeling/layers/mask_sampler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8011
unit: def from_config()
file: official/vision/beta/modeling/backbones/resnet_3d.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8012
unit: def output_specs()
file: official/vision/beta/modeling/backbones/resnet_3d.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8013
unit: def from_config()
file: official/vision/beta/modeling/backbones/resnet_deeplab.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8014
unit: def output_specs()
file: official/vision/beta/modeling/backbones/resnet_deeplab.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8015
unit: def from_config()
file: official/vision/beta/modeling/backbones/mobilenet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8016
unit: def output_specs()
file: official/vision/beta/modeling/backbones/mobilenet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8017
unit: def from_config()
file: official/vision/beta/modeling/backbones/resnet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8018
unit: def output_specs()
file: official/vision/beta/modeling/backbones/resnet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8019
unit: def output_specs()
file: official/vision/beta/modeling/backbones/revnet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8020
unit: def register_backbone_builder()
file: official/vision/beta/modeling/backbones/factory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8021
unit: def from_config()
file: official/vision/beta/modeling/backbones/efficientnet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8022
unit: def output_specs()
file: official/vision/beta/modeling/backbones/efficientnet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8023
unit: def from_config()
file: official/vision/beta/modeling/backbones/spinenet_mobile.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8024
unit: def output_specs()
file: official/vision/beta/modeling/backbones/spinenet_mobile.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8025
unit: def _get_divisible_by()
file: official/vision/beta/modeling/backbones/mobiledet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8026
unit: def from_config()
file: official/vision/beta/modeling/backbones/mobiledet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8027
unit: def output_specs()
file: official/vision/beta/modeling/backbones/mobiledet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8028
unit: def from_config()
file: official/vision/beta/modeling/backbones/spinenet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8029
unit: def output_specs()
file: official/vision/beta/modeling/backbones/spinenet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8030
unit: def get_config()
file: official/vision/beta/modeling/segmentation_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8031
unit: def from_config()
file: official/vision/beta/modeling/segmentation_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8032
unit: def get_config()
file: official/vision/beta/modeling/maskrcnn_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8033
unit: def from_config()
file: official/vision/beta/modeling/maskrcnn_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8034
unit: def backbone()
file: official/vision/beta/modeling/retinanet_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8035
unit: def decoder()
file: official/vision/beta/modeling/retinanet_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8036
unit: def head()
file: official/vision/beta/modeling/retinanet_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8037
unit: def detection_generator()
file: official/vision/beta/modeling/retinanet_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8038
unit: def get_config()
file: official/vision/beta/modeling/retinanet_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8039
unit: def from_config()
file: official/vision/beta/modeling/retinanet_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8040
unit: def backbone()
file: official/vision/beta/modeling/video_classification_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8041
unit: def get_config()
file: official/vision/beta/modeling/video_classification_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8042
unit: def from_config()
file: official/vision/beta/modeling/video_classification_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8043
unit: def get_config()
file: official/vision/beta/modeling/heads/dense_prediction_heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8044
unit: def from_config()
file: official/vision/beta/modeling/heads/dense_prediction_heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8045
unit: def get_config()
file: official/vision/beta/modeling/heads/dense_prediction_heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8046
unit: def from_config()
file: official/vision/beta/modeling/heads/dense_prediction_heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8047
unit: def get_config()
file: official/vision/beta/modeling/heads/instance_heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8048
unit: def from_config()
file: official/vision/beta/modeling/heads/instance_heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8049
unit: def get_config()
file: official/vision/beta/modeling/heads/instance_heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8050
unit: def from_config()
file: official/vision/beta/modeling/heads/instance_heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8051
unit: def get_config()
file: official/vision/beta/modeling/heads/segmentation_heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8052
unit: def from_config()
file: official/vision/beta/modeling/heads/segmentation_heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8053
unit: def from_config()
file: official/vision/beta/modeling/heads/segmentation_heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8054
unit: def checkpoint_items()
file: official/vision/beta/modeling/classification_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8055
unit: def backbone()
file: official/vision/beta/modeling/classification_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8056
unit: def get_config()
file: official/vision/beta/modeling/classification_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8057
unit: def from_config()
file: official/vision/beta/modeling/classification_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8058
unit: def register_decoder_builder()
file: official/vision/beta/modeling/decoders/factory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8059
unit: def from_config()
file: official/vision/beta/modeling/decoders/aspp.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8060
unit: def get_config()
file: official/vision/beta/modeling/decoders/nasfpn.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8061
unit: def from_config()
file: official/vision/beta/modeling/decoders/nasfpn.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8062
unit: def output_specs()
file: official/vision/beta/modeling/decoders/nasfpn.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8063
unit: def get_config()
file: official/vision/beta/modeling/decoders/fpn.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8064
unit: def from_config()
file: official/vision/beta/modeling/decoders/fpn.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8065
unit: def output_specs()
file: official/vision/beta/modeling/decoders/fpn.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8066
unit: def _parse_train_data()
file: official/vision/beta/dataloaders/parser.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8067
unit: def _parse_eval_data()
file: official/vision/beta/dataloaders/parser.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8068
unit: def inference_fn()
file: official/vision/beta/dataloaders/parser.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8069
unit: def _parse_train_data()
file: official/vision/beta/dataloaders/video_input.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8070
unit: def _parse_eval_data()
file: official/vision/beta/dataloaders/video_input.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8071
unit: def decode()
file: official/vision/beta/dataloaders/decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8072
unit: def _decode_classes()
file: official/vision/beta/dataloaders/tf_example_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8073
unit: def horizontal_flip_image()
file: official/vision/beta/ops/preprocess_ops.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8074
unit: def horizontal_flip_masks()
file: official/vision/beta/ops/preprocess_ops.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8075
unit: def anchors_per_location()
file: official/vision/beta/ops/anchor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8076
unit: def multilevel_boxes()
file: official/vision/beta/ops/anchor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8077
unit: def solarize()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 8078
unit: def _scale_bbox_only_op_probability()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8079
unit: def _enhance_level_to_arg()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8080
unit: def _mult_to_arg()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8081
unit: def _maybe_identity()
file: official/vision/beta/ops/augment.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8082
unit: def __init__()
file: official/vision/beta/ops/iou_similarity.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8083
unit: def name()
file: official/vision/beta/evaluation/coco_evaluator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8084
unit: def __call__()
file: official/vision/beta/evaluation/coco_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8085
unit: def name()
file: official/vision/beta/evaluation/panoptic_quality_evaluator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8086
unit: def reset_states()
file: official/vision/beta/evaluation/panoptic_quality_evaluator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8087
unit: def get_config()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/panoptic_segmentation_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8088
unit: def from_config()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/panoptic_segmentation_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8089
unit: def get_config()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/paste_masks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8090
unit: def from_config()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/paste_masks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8091
unit: def get_config()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/paste_masks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8092
unit: def from_config()
file: official/vision/beta/projects/panoptic_maskrcnn/modeling/layers/paste_masks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8093
unit: def get_config()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/instance_heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8094
unit: def from_config()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/instance_heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8095
unit: def call()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8096
unit: def call()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8097
unit: def call()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8098
unit: def out_stride()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8099
unit: def num_feature_outputs()
file: official/vision/beta/projects/deepmac_maskrcnn/modeling/heads/hourglass_network.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8100
unit: def from_config()
file: official/vision/beta/projects/centernet/modeling/layers/detection_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8101
unit: def backbone()
file: official/vision/beta/projects/centernet/modeling/centernet_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8102
unit: def detection_generator()
file: official/vision/beta/projects/centernet/modeling/centernet_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8103
unit: def head()
file: official/vision/beta/projects/centernet/modeling/centernet_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8104
unit: def from_config()
file: official/vision/beta/projects/centernet/modeling/centernet_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8105
unit: def num_hourglasses()
file: official/vision/beta/projects/centernet/modeling/backbones/hourglass.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8106
unit: def output_specs()
file: official/vision/beta/projects/centernet/modeling/backbones/hourglass.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8107
unit: def from_config()
file: official/vision/beta/projects/centernet/modeling/heads/centernet_head.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8108
unit: def output_specs()
file: official/vision/beta/projects/centernet/modeling/heads/centernet_head.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8109
unit: def num_boxes()
file: official/vision/beta/projects/centernet/ops/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8110
unit: def num_boxes_static()
file: official/vision/beta/projects/centernet/ops/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8111
unit: def get_all_fields()
file: official/vision/beta/projects/centernet/ops/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8112
unit: def get_extra_fields()
file: official/vision/beta/projects/centernet/ops/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 8113
unit: def add_field()
file: official/vision/beta/projects/centernet/ops/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8114
unit: def has_field()
file: official/vision/beta/projects/centernet/ops/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8115
unit: def get()
file: official/vision/beta/projects/centernet/ops/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8116
unit: def get_batch_predictions_from_indices()
file: official/vision/beta/projects/centernet/ops/loss_ops.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8117
unit: def get_weights()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_classes.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8118
unit: def __post_init__()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_classes.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8119
unit: def get_weights()
file: official/vision/beta/projects/centernet/utils/checkpoints/config_classes.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8120
unit: def reduce_aggregated_logs()
file: official/vision/beta/projects/centernet/tasks/centernet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8121
unit: def get_config()
file: official/vision/beta/projects/example/example_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8122
unit: def from_config()
file: official/vision/beta/projects/example/example_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8123
unit: def inference_step()
file: official/vision/beta/projects/example/example_task.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8124
unit: def backbone()
file: official/vision/beta/projects/yolo/modeling/yolo_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8125
unit: def decoder()
file: official/vision/beta/projects/yolo/modeling/yolo_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8126
unit: def head()
file: official/vision/beta/projects/yolo/modeling/yolo_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8127
unit: def detection_generator()
file: official/vision/beta/projects/yolo/modeling/yolo_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8128
unit: def get_config()
file: official/vision/beta/projects/yolo/modeling/yolo_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8129
unit: def from_config()
file: official/vision/beta/projects/yolo/modeling/yolo_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8130
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8131
unit: def call()
file: official/vision/beta/projects/yolo/modeling/layers/nn_blocks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8132
unit: def input_specs()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8133
unit: def output_specs()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8134
unit: def splits()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8135
unit: def model_id()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8136
unit: def from_config()
file: official/vision/beta/projects/yolo/modeling/backbones/darknet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8137
unit: def output_depth()
file: official/vision/beta/projects/yolo/modeling/heads/yolo_head.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8138
unit: def num_heads()
file: official/vision/beta/projects/yolo/modeling/heads/yolo_head.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8139
unit: def from_config()
file: official/vision/beta/projects/yolo/modeling/heads/yolo_head.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8140
unit: def call()
file: official/vision/beta/projects/yolo/modeling/decoders/yolo_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8141
unit: def use_fpn()
file: official/vision/beta/projects/yolo/modeling/decoders/yolo_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8142
unit: def output_specs()
file: official/vision/beta/projects/yolo/modeling/decoders/yolo_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8143
unit: def from_config()
file: official/vision/beta/projects/yolo/modeling/decoders/yolo_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8144
unit: def divide_no_nan()
file: official/vision/beta/projects/yolo/ops/math_ops.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8145
unit: def _extend_batch()
file: official/vision/beta/projects/yolo/ops/loss_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8146
unit: def _build_path_scales()
file: official/vision/beta/projects/yolo/configs/yolo.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 8147
unit: def set_bias_lr()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8148
unit: def set_other_lr()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8149
unit: def _resource_apply_dense()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8150
unit: def learning_rate()
file: official/vision/beta/projects/yolo/optimization/sgd_torch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8151
unit: def build_losses()
file: official/vision/beta/projects/yolo/tasks/yolo.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8152
unit: def _build_per_path_attributes()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8153
unit: def _compute_loss()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 7

id: 8154
unit: def cross_replica_aggregation()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8155
unit: def cross_replica_aggregation()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8156
unit: def cross_replica_aggregation()
file: official/vision/beta/projects/yolo/losses/yolo_loss.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8157
unit: def checkpoint_items()
file: official/vision/beta/projects/video_ssl/modeling/video_ssl_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8158
unit: def backbone()
file: official/vision/beta/projects/video_ssl/modeling/video_ssl_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8159
unit: def get_config()
file: official/vision/beta/projects/video_ssl/modeling/video_ssl_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8160
unit: def from_config()
file: official/vision/beta/projects/video_ssl/modeling/video_ssl_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8161
unit: def _parse_train_data()
file: official/vision/beta/projects/video_ssl/dataloaders/video_ssl_input.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8162
unit: def _parse_eval_data()
file: official/vision/beta/projects/video_ssl/dataloaders/video_ssl_input.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8163
unit: def validation_step()
file: official/vision/beta/projects/video_ssl/tasks/pretrain.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8164
unit: def inference_step()
file: official/vision/beta/projects/video_ssl/tasks/pretrain.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8165
unit: def backbone()
file: official/vision/beta/projects/simclr/modeling/simclr_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8166
unit: def projection_head()
file: official/vision/beta/projects/simclr/modeling/simclr_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8167
unit: def supervised_head()
file: official/vision/beta/projects/simclr/modeling/simclr_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8168
unit: def mode()
file: official/vision/beta/projects/simclr/modeling/simclr_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8169
unit: def mode()
file: official/vision/beta/projects/simclr/modeling/simclr_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8170
unit: def backbone_trainable()
file: official/vision/beta/projects/simclr/modeling/simclr_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8171
unit: def get_config()
file: official/vision/beta/projects/simclr/modeling/simclr_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8172
unit: def from_config()
file: official/vision/beta/projects/simclr/modeling/simclr_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8173
unit: def checkpoint_items()
file: official/vision/beta/projects/simclr/modeling/multitask_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8174
unit: def __init__()
file: official/vision/beta/projects/simclr/dataloaders/simclr_input.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8175
unit: def reduce_aggregated_logs()
file: official/vision/beta/tasks/retinanet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8176
unit: def _get_num_classes()
file: official/vision/beta/tasks/video_classification.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8177
unit: def _is_multilabel()
file: official/vision/beta/tasks/video_classification.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8178
unit: def inference_step()
file: official/vision/beta/tasks/image_classification.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8179
unit: def inference_step()
file: official/vision/beta/tasks/semantic_segmentation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8180
unit: def _build_model()
file: official/vision/beta/serving/export_base.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8181
unit: def inference_for_tflite()
file: official/vision/beta/serving/export_base.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8182
unit: def match_results()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8183
unit: def matched_column_indices()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8184
unit: def matched_column_indicator()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8185
unit: def num_matched_columns()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8186
unit: def unmatched_column_indices()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8187
unit: def unmatched_column_indicator()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8188
unit: def num_unmatched_columns()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8189
unit: def ignored_column_indices()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8190
unit: def ignored_column_indicator()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8191
unit: def num_ignored_columns()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8192
unit: def unmatched_or_ignored_column_indices()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8193
unit: def _reshape_and_cast()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8194
unit: def _match()
file: official/vision/utils/object_detection/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8195
unit: def _compare()
file: official/vision/utils/object_detection/region_similarity_calculator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8196
unit: def _compare()
file: official/vision/utils/object_detection/region_similarity_calculator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8197
unit: def num_boxes()
file: official/vision/utils/object_detection/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
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id: 8198
unit: def num_boxes_static()
file: official/vision/utils/object_detection/box_list.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8199
unit: def get_all_fields()
file: official/vision/utils/object_detection/box_list.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8200
unit: def get_extra_fields()
file: official/vision/utils/object_detection/box_list.py
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end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 8201
unit: def add_field()
file: official/vision/utils/object_detection/box_list.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8202
unit: def has_field()
file: official/vision/utils/object_detection/box_list.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8203
unit: def get()
file: official/vision/utils/object_detection/box_list.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8204
unit: def __init__()
file: official/vision/utils/object_detection/minibatch_sampler.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8205
unit: def subsample()
file: official/vision/utils/object_detection/minibatch_sampler.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8206
unit: def code_size()
file: official/vision/utils/object_detection/box_coder.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8207
unit: def _encode()
file: official/vision/utils/object_detection/box_coder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8208
unit: def _decode()
file: official/vision/utils/object_detection/box_coder.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8209
unit: def _flip_masks_left_right()
file: official/vision/utils/object_detection/preprocessor.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8210
unit: def box_coder()
file: official/vision/utils/object_detection/target_assigner.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8211
unit: def _default_regression_target()
file: official/vision/utils/object_detection/target_assigner.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8212
unit: def get_box_coder()
file: official/vision/utils/object_detection/target_assigner.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8213
unit: def code_size()
file: official/vision/utils/object_detection/faster_rcnn_box_coder.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8214
unit: def register_task_cls()
file: official/core/task_factory.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8215
unit: def _get_random_integer()
file: official/core/input_reader.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8216
unit: def best_ckpt_logs()
file: official/core/train_utils.py
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McCabe index: 1
number of parameters: 1

id: 8217
unit: def best_ckpt_logs_path()
file: official/core/train_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8218
unit: def best_ckpt_path()
file: official/core/train_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8219
unit: def __contains__()
file: official/core/train_utils.py
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McCabe index: 1
number of parameters: 2

id: 8220
unit: def __init__()
file: official/core/train_utils.py
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McCabe index: 1
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id: 8221
unit: def register_config_factory()
file: official/core/exp_factory.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8222
unit: def get_inference_signatures()
file: official/core/export_base.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8223
unit: def task_config()
file: official/core/base_task.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8224
unit: def logging_dir()
file: official/core/base_task.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8225
unit: def process_compiled_metrics()
file: official/core/base_task.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8226
unit: def inference_step()
file: official/core/base_task.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8227
unit: def aggregate_logs()
file: official/core/base_task.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8228
unit: def strategy()
file: official/core/base_trainer.py
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McCabe index: 1
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id: 8229
unit: def config()
file: official/core/base_trainer.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8230
unit: def task()
file: official/core/base_trainer.py
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McCabe index: 1
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id: 8231
unit: def model()
file: official/core/base_trainer.py
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McCabe index: 1
number of parameters: 1

id: 8232
unit: def global_step()
file: official/core/base_trainer.py
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McCabe index: 1
number of parameters: 1

id: 8233
unit: def train_loss()
file: official/core/base_trainer.py
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McCabe index: 1
number of parameters: 1

id: 8234
unit: def validation_loss()
file: official/core/base_trainer.py
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McCabe index: 1
number of parameters: 1

id: 8235
unit: def train_metrics()
file: official/core/base_trainer.py
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McCabe index: 1
number of parameters: 1

id: 8236
unit: def validation_metrics()
file: official/core/base_trainer.py
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McCabe index: 1
number of parameters: 1

id: 8237
unit: def initialize()
file: official/core/base_trainer.py
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McCabe index: 1
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id: 8238
unit: def checkpoint()
file: official/core/base_trainer.py
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McCabe index: 1
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id: 8239
unit: def checkpoint_exporter()
file: official/core/base_trainer.py
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McCabe index: 1
number of parameters: 1

id: 8240
unit: def eval_reduce()
file: official/core/base_trainer.py
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McCabe index: 1
number of parameters: 3

id: 8241
unit: def __init__()
file: official/core/actions.py
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McCabe index: 1
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id: 8242
unit: def __enter__()
file: official/common/distribute_utils.py
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McCabe index: 1
number of parameters: 1

id: 8243
unit: def __exit__()
file: official/common/distribute_utils.py
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McCabe index: 1
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id: 8244
unit: def __init__()
file: official/utils/testing/mock_task.py
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McCabe index: 1
number of parameters: 4

id: 8245
unit: def help_wrap()
file: official/utils/flags/_conventions.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8246
unit: def global_steps()
file: official/utils/misc/keras_utils.py
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McCabe index: 1
number of parameters: 1

id: 8247
unit: def average_steps_per_second()
file: official/utils/misc/keras_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8248
unit: def average_examples_per_second()
file: official/utils/misc/keras_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8249
unit: def get_startup_time()
file: official/utils/misc/keras_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8250
unit: def on_epoch_begin()
file: official/utils/misc/keras_utils.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8251
unit: def main()
file: official/recommendation/create_ncf_data.py
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McCabe index: 1
number of parameters: 1

id: 8252
unit: def __init__()
file: official/recommendation/popen_helper.py
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McCabe index: 1
number of parameters: 3

id: 8253
unit: def map()
file: official/recommendation/popen_helper.py
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McCabe index: 2
number of parameters: 4

id: 8254
unit: def close()
file: official/recommendation/popen_helper.py
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McCabe index: 1
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id: 8255
unit: def terminate()
file: official/recommendation/popen_helper.py
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McCabe index: 1
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id: 8256
unit: def join()
file: official/recommendation/popen_helper.py
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McCabe index: 1
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id: 8257
unit: def worker_job()
file: official/recommendation/popen_helper.py
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McCabe index: 1
number of parameters: 0

id: 8258
unit: def increment_request_epoch()
file: official/recommendation/data_pipeline.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8259
unit: def stop_loop()
file: official/recommendation/data_pipeline.py
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end line: 0
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McCabe index: 1
number of parameters: 1

id: 8260
unit: def construct_lookup_variables()
file: official/recommendation/data_pipeline.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8261
unit: def lookup_negative_items()
file: official/recommendation/data_pipeline.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8262
unit: def increment_request_epoch()
file: official/recommendation/data_pipeline.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8263
unit: def run()
file: official/recommendation/data_pipeline.py
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McCabe index: 1
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id: 8264
unit: def stop_loop()
file: official/recommendation/data_pipeline.py
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McCabe index: 1
number of parameters: 1

id: 8265
unit: def increment_request_epoch()
file: official/recommendation/data_pipeline.py
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McCabe index: 1
number of parameters: 1

id: 8266
unit: def optimizer_config()
file: official/recommendation/ranking/task.py
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McCabe index: 1
number of parameters: 1

id: 8267
unit: def read_dataframe()
file: official/recommendation/data_preprocessing.py
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McCabe index: 1
number of parameters: 0

id: 8268
unit: def get_config()
file: official/recommendation/ncf_keras_main.py
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McCabe index: 1
number of parameters: 1

id: 8269
unit: def from_config()
file: official/recommendation/ncf_keras_main.py
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McCabe index: 1
number of parameters: 3

id: 8270
unit: def get_config()
file: official/recommendation/ncf_keras_main.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8271
unit: def from_config()
file: official/recommendation/ncf_keras_main.py
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McCabe index: 1
number of parameters: 3

id: 8272
unit: def __init__()
file: official/recommendation/ncf_keras_main.py
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McCabe index: 1
number of parameters: 2

id: 8273
unit: def on_epoch_begin()
file: official/recommendation/ncf_keras_main.py
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McCabe index: 1
number of parameters: 3

id: 8274
unit: def main()
file: official/recommendation/ncf_keras_main.py
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McCabe index: 1
number of parameters: 1

id: 8275
unit: def random_int32()
file: official/recommendation/stat_utils.py
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McCabe index: 1
number of parameters: 0

id: 8276
unit: def sparse_to_dense_grads()
file: official/recommendation/neumf_model.py
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McCabe index: 3
number of parameters: 1

id: 8277
unit: def _strip_first_and_last_dimension()
file: official/recommendation/neumf_model.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8278
unit: def main()
file: official/recommendation/movielens.py
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McCabe index: 1
number of parameters: 1

id: 8279
unit: def init_states()
file: official/projects/movinet/modeling/movinet_model.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8280
unit: def checkpoint_items()
file: official/projects/movinet/modeling/movinet_model.py
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McCabe index: 1
number of parameters: 1

id: 8281
unit: def backbone()
file: official/projects/movinet/modeling/movinet_model.py
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McCabe index: 1
number of parameters: 1

id: 8282
unit: def call()
file: official/projects/movinet/modeling/movinet_layers.py
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McCabe index: 1
number of parameters: 2

id: 8283
unit: def use_external_states()
file: official/projects/movinet/modeling/movinet.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8284
unit: def head_filters()
file: official/projects/movinet/modeling/movinet.py
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McCabe index: 1
number of parameters: 1

id: 8285
unit: def conv_type()
file: official/projects/movinet/modeling/movinet.py
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McCabe index: 1
number of parameters: 1

id: 8286
unit: def from_config()
file: official/projects/movinet/modeling/movinet.py
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McCabe index: 1
number of parameters: 3

id: 8287
unit: def get_config()
file: official/projects/teams/teams_pretrainer.py
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McCabe index: 1
number of parameters: 1

id: 8288
unit: def from_config()
file: official/projects/teams/teams_pretrainer.py
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McCabe index: 1
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id: 8289
unit: def build_model()
file: official/projects/teams/teams_task.py
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McCabe index: 1
number of parameters: 1

id: 8290
unit: def checkpoint_items()
file: official/projects/yt8m/modeling/yt8m_model.py
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McCabe index: 1
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id: 8291
unit: def get_config()
file: official/projects/yt8m/modeling/yt8m_model.py
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id: 8292
unit: def from_config()
file: official/projects/yt8m/modeling/yt8m_model.py
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McCabe index: 1
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id: 8293
unit: def inference_step()
file: official/projects/yt8m/tasks/yt8m_task.py
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McCabe index: 1
number of parameters: 3

id: 8294
unit: def heap_size()
file: official/projects/yt8m/eval_utils/average_precision_calculator.py
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McCabe index: 1
number of parameters: 1

id: 8295
unit: def num_accumulated_positives()
file: official/projects/yt8m/eval_utils/average_precision_calculator.py
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McCabe index: 1
number of parameters: 1

id: 8296
unit: def ap()
file: official/projects/yt8m/eval_utils/average_precision_calculator.py
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McCabe index: 1
number of parameters: 2

id: 8297
unit: def flatten()
file: official/projects/yt8m/eval_utils/eval_util.py
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McCabe index: 3
number of parameters: 1

id: 8298
unit: def name()
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McCabe index: 1
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id: 8299
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file: official/projects/basnet/modeling/nn_blocks.py
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McCabe index: 1
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id: 8300
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file: official/projects/basnet/modeling/nn_blocks.py
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McCabe index: 1
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id: 8301
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file: official/projects/basnet/modeling/refunet.py
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McCabe index: 1
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id: 8302
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file: official/projects/basnet/modeling/refunet.py
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McCabe index: 1
number of parameters: 3

id: 8303
unit: def output_specs()
file: official/projects/basnet/modeling/refunet.py
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McCabe index: 1
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McCabe index: 1
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id: 8306
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McCabe index: 1
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id: 8307
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McCabe index: 1
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McCabe index: 1
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McCabe index: 1
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id: 8310
unit: def output_specs()
file: official/projects/basnet/modeling/basnet_model.py
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McCabe index: 1
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id: 8311
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file: official/projects/basnet/evaluation/metrics.py
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McCabe index: 1
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McCabe index: 1
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id: 8313
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file: official/projects/basnet/evaluation/metrics.py
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McCabe index: 1
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McCabe index: 1
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McCabe index: 1
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unit: def _mask_normalize()
file: official/projects/basnet/evaluation/metrics.py
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McCabe index: 1
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McCabe index: 1
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McCabe index: 1
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unit: def _mask_normalize()
file: official/projects/basnet/evaluation/metrics.py
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McCabe index: 1
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file: official/projects/basnet/tasks/basnet.py
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McCabe index: 1
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id: 8321
unit: def get_embedding_table()
file: official/projects/roformer/roformer_encoder.py
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McCabe index: 1
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id: 8322
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file: official/projects/roformer/roformer_encoder.py
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McCabe index: 1
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McCabe index: 1
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id: 8324
unit: def transformer_layers()
file: official/projects/roformer/roformer_encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8325
unit: def pooler_layer()
file: official/projects/roformer/roformer_encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8326
unit: def to_json_string()
file: official/projects/mobilebert/model_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8327
unit: def num_stages()
file: official/projects/mobilebert/distillation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 8328
unit: def __enter__()
file: official/projects/bigbird/recompute_grad.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8329
unit: def __exit__()
file: official/projects/bigbird/recompute_grad.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8330
unit: def top()
file: official/projects/bigbird/recompute_grad.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8331
unit: def get_recompute_context()
file: official/projects/bigbird/recompute_grad.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8332
unit: def get_embedding_table()
file: official/projects/bigbird/encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8333
unit: def get_embedding_layer()
file: official/projects/bigbird/encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8334
unit: def get_config()
file: official/projects/bigbird/encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8335
unit: def transformer_layers()
file: official/projects/bigbird/encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8336
unit: def pooler_layer()
file: official/projects/bigbird/encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8337
unit: def from_config()
file: official/projects/bigbird/encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8338
unit: def compute_output_shape()
file: official/projects/bigbird/recomputing_dropout.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8339
unit: def _as_shape()
file: official/projects/bigbird/stateless_dropout.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 8340
unit: def _get_noise_shape()
file: official/projects/bigbird/stateless_dropout.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8341
unit: def encoder()
file: official/projects/triviaqa/modeling.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8342
unit: def _web_evidence_dir()
file: official/projects/triviaqa/dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8343
unit: def _wiki_evidence_dir()
file: official/projects/triviaqa/dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8344
unit: def exact_match_score()
file: official/projects/triviaqa/evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8345
unit: def process()
file: official/projects/triviaqa/preprocess.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8346
unit: def process()
file: official/projects/triviaqa/preprocess.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8347
unit: def __init__()
file: official/projects/triviaqa/preprocess.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8348
unit: def checkpoint_items()
file: official/projects/assemblenet/modeling/assemblenet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8349
unit: def backbone()
file: official/projects/assemblenet/modeling/assemblenet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8350
unit: def get_config()
file: official/projects/assemblenet/modeling/assemblenet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8351
unit: def from_config()
file: official/projects/assemblenet/modeling/assemblenet.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8352
unit: def checkpoint_items()
file: official/projects/assemblenet/modeling/assemblenet_plus.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8353
unit: def backbone()
file: official/projects/assemblenet/modeling/assemblenet_plus.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8354
unit: def get_config()
file: official/projects/assemblenet/modeling/assemblenet_plus.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8355
unit: def from_config()
file: official/projects/assemblenet/modeling/assemblenet_plus.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8356
unit: def backbone()
file: official/projects/detr/modeling/detr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8357
unit: def from_config()
file: official/projects/detr/modeling/detr.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8358
unit: def __init__()
file: official/projects/detr/dataloaders/coco.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8359
unit: def build_inputs()
file: official/projects/detr/tasks/detection.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8360
unit: def reduce_aggregated_logs()
file: official/projects/detr/tasks/detection.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8361
unit: def call()
file: official/projects/nhnet/decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8362
unit: def get_test_params()
file: official/projects/nhnet/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8363
unit: def get_config()
file: official/projects/nhnet/models.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8364
unit: def _filter_max_length()
file: official/projects/nhnet/input_pipeline.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8365
unit: def call()
file: official/projects/nhnet/trainer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8366
unit: def from_config()
file: official/projects/volumetric_models/modeling/backbones/unet_3d.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8367
unit: def output_specs()
file: official/projects/volumetric_models/modeling/backbones/unet_3d.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8368
unit: def get_config()
file: official/projects/volumetric_models/modeling/heads/segmentation_heads_3d.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8369
unit: def from_config()
file: official/projects/volumetric_models/modeling/heads/segmentation_heads_3d.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8370
unit: def get_config()
file: official/projects/volumetric_models/modeling/decoders/unet_3d_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8371
unit: def from_config()
file: official/projects/volumetric_models/modeling/decoders/unet_3d_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8372
unit: def output_specs()
file: official/projects/volumetric_models/modeling/decoders/unet_3d_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8373
unit: def register_decoder_builder()
file: official/projects/volumetric_models/modeling/decoders/factory.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8374
unit: def main()
file: official/projects/volumetric_models/train.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8375
unit: def inference_step()
file: official/projects/volumetric_models/tasks/semantic_segmentation_3d.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8376
unit: def output_specs()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v1_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8377
unit: def round_repeats()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model_blocks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8378
unit: def output_specs()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v2_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8379
unit: def round_repeats()
file: official/projects/edgetpu/vision/modeling/mobilenet_edgetpu_v1_model_blocks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8380
unit: def _nnapi_scalar()
file: official/projects/edgetpu/vision/modeling/custom_layers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8381
unit: def autoseg_edgetpu_xs()
file: official/projects/edgetpu/vision/configs/semantic_segmentation_searched_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8382
unit: def autoseg_edgetpu_s()
file: official/projects/edgetpu/vision/configs/semantic_segmentation_searched_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8383
unit: def autoseg_edgetpu_m()
file: official/projects/edgetpu/vision/configs/semantic_segmentation_searched_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8384
unit: def mobilenet_edgetpu_search()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8385
unit: def mobilenet_edgetpu_v2_tiny()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8386
unit: def mobilenet_edgetpu_v2_xs()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8387
unit: def mobilenet_edgetpu_v2_s()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8388
unit: def mobilenet_edgetpu_v2_m()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8389
unit: def mobilenet_edgetpu_v2_l()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8390
unit: def mobilenet_edgetpu()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8391
unit: def mobilenet_edgetpu_dm0p75()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8392
unit: def mobilenet_edgetpu_dm1p25()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8393
unit: def mobilenet_edgetpu_dm1p5()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8394
unit: def mobilenet_edgetpu_dm1p75()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8395
unit: def autoseg_edgetpu_backbone_xs()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8396
unit: def autoseg_edgetpu_backbone_s()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8397
unit: def autoseg_edgetpu_backbone_m()
file: official/projects/edgetpu/vision/configs/mobilenet_edgetpu_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8398
unit: def deeplabv3plus_mobilenet_edgetpuv2_m_ade20k_32()
file: official/projects/edgetpu/vision/configs/semantic_segmentation_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8399
unit: def deeplabv3plus_mobilenet_edgetpuv2_s_ade20k_32()
file: official/projects/edgetpu/vision/configs/semantic_segmentation_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8400
unit: def deeplabv3plus_mobilenet_edgetpuv2_xs_ade20k_32()
file: official/projects/edgetpu/vision/configs/semantic_segmentation_config.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8401
unit: def inference_step()
file: official/projects/edgetpu/vision/tasks/image_classification.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8402
unit: def main()
file: official/projects/edgetpu/vision/serving/export_tflite.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8403
unit: def get_config()
file: official/projects/edgetpu/nlp/modeling/pretrainer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8404
unit: def from_config()
file: official/projects/edgetpu/nlp/modeling/pretrainer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8405
unit: def get_embedding_table()
file: official/projects/edgetpu/nlp/modeling/encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8406
unit: def get_embedding_layer()
file: official/projects/edgetpu/nlp/modeling/encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8407
unit: def transformer_layers()
file: official/projects/edgetpu/nlp/modeling/encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8408
unit: def pooler_layer()
file: official/projects/edgetpu/nlp/modeling/encoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8409
unit: def build_inputs()
file: official/projects/edgetpu/nlp/serving/export_tflite_squad.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8410
unit: def anchors_per_location()
file: official/legacy/detection/dataloader/anchor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8411
unit: def multilevel_boxes()
file: official/legacy/detection/dataloader/anchor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8412
unit: def _parse_eval_data()
file: official/legacy/detection/dataloader/maskrcnn_parser.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8413
unit: def get_config()
file: official/legacy/detection/modeling/learning_rates.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8414
unit: def get_config()
file: official/legacy/detection/modeling/learning_rates.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8415
unit: def _class_net_batch_norm_name()
file: official/legacy/detection/modeling/architecture/heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8416
unit: def _box_net_batch_norm_name()
file: official/legacy/detection/modeling/architecture/heads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8417
unit: def __call__()
file: official/legacy/detection/modeling/architecture/identity.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8418
unit: def __call__()
file: official/legacy/detection/modeling/optimizers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8419
unit: def build_outputs()
file: official/legacy/detection/modeling/base_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8420
unit: def build_model()
file: official/legacy/detection/modeling/base_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8421
unit: def build_loss_fn()
file: official/legacy/detection/modeling/base_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8422
unit: def post_processing()
file: official/legacy/detection/modeling/base_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8423
unit: def model_outputs()
file: official/legacy/detection/modeling/base_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8424
unit: def build_optimizer()
file: official/legacy/detection/modeling/base_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8425
unit: def make_filter_trainable_variables_fn()
file: official/legacy/detection/modeling/base_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8426
unit: def eval_metrics()
file: official/legacy/detection/modeling/base_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8427
unit: def eval_metrics()
file: official/legacy/detection/modeling/maskrcnn_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8428
unit: def eval_metrics()
file: official/legacy/detection/modeling/retinanet_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8429
unit: def eval_metrics()
file: official/legacy/detection/modeling/shapemask_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8430
unit: def _no_metric()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8431
unit: def __init__()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8432
unit: def checkpoint_name()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8433
unit: def checkpoint_name()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8434
unit: def loss_fn()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8435
unit: def model_fn()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8436
unit: def predict()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8437
unit: def strategy()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8438
unit: def strategy()
file: official/legacy/detection/executor/distributed_executor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8439
unit: def __init__()
file: official/legacy/detection/evaluation/coco_evaluator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8440
unit: def result()
file: official/legacy/detection/evaluation/coco_evaluator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8441
unit: def reset_states()
file: official/legacy/detection/evaluation/coco_evaluator.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8442
unit: def random_horizontal_flip()
file: official/legacy/detection/utils/input_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8443
unit: def _encode_and_add_eos()
file: official/legacy/transformer/translate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8444
unit: def _load_records()
file: official/legacy/transformer/data_pipeline.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8445
unit: def map_data_for_transformer_fn()
file: official/legacy/transformer/data_pipeline.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 8446
unit: def padded_accuracy_top5()
file: official/legacy/transformer/utils/metrics.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8447
unit: def _list_to_index_dict()
file: official/legacy/transformer/utils/tokenizer.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8448
unit: def padded_accuracy_top5()
file: official/legacy/transformer/metrics.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8449
unit: def build()
file: official/legacy/transformer/metrics.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8450
unit: def dtype()
file: official/legacy/bert/common_flags.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8451
unit: def use_float16()
file: official/legacy/bert/common_flags.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8452
unit: def get_loss_scale()
file: official/legacy/bert/common_flags.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8453
unit: def to_json_string()
file: official/legacy/bert/configs.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8454
unit: def _should_export_checkpoint()
file: official/legacy/bert/model_training_utils.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8455
unit: def _should_export_summary()
file: official/legacy/bert/model_training_utils.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8456
unit: def _float_metric_value()
file: official/legacy/bert/model_training_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8457
unit: def main()
file: official/legacy/bert/run_classifier.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8458
unit: def round_repeats()
file: official/legacy/image_classification/efficientnet/efficientnet_model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8459
unit: def has_data()
file: official/legacy/image_classification/dataset_factory.py
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size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 8460
unit: def is_training()
file: official/legacy/image_classification/dataset_factory.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8461
unit: def global_batch_size()
file: official/legacy/image_classification/dataset_factory.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8462
unit: def num_steps()
file: official/legacy/image_classification/dataset_factory.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8463
unit: def decode_image()
file: official/legacy/image_classification/mnist_main.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8464
unit: def get_optimizer()
file: official/legacy/image_classification/resnet/common.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8465
unit: def solarize()
file: official/legacy/image_classification/augment.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 8466
unit: def _enhance_level_to_arg()
file: official/legacy/image_classification/augment.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8467
unit: def _mult_to_arg()
file: official/legacy/image_classification/augment.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8468
unit: def distort()
file: official/legacy/image_classification/augment.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8469
unit: def on_test_begin()
file: official/legacy/image_classification/callbacks.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8470
unit: def on_test_end()
file: official/legacy/image_classification/callbacks.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8471
unit: def vocab_size()
file: official/nlp/modeling/layers/on_device_embedding.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8472
unit: def embedding_width()
file: official/nlp/modeling/layers/on_device_embedding.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8473
unit: def from_config()
file: official/nlp/modeling/layers/cls_head.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8474
unit: def checkpoint_items()
file: official/nlp/modeling/layers/cls_head.py
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McCabe index: 1
number of parameters: 1

id: 8475
unit: def from_config()
file: official/nlp/modeling/layers/cls_head.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8476
unit: def call()
file: official/nlp/modeling/layers/transformer.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8477
unit: def compute_output_shape()
file: official/nlp/modeling/layers/tn_expand_condense.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8478
unit: def reset_covariance_matrix()
file: official/nlp/modeling/layers/gaussian_process.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8479
unit: def __init__()
file: official/nlp/modeling/layers/util.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8480
unit: def tf_function_if_eager()
file: official/nlp/modeling/layers/util.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8481
unit: def _get_output_shape()
file: official/nlp/modeling/layers/relative_attention.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8482
unit: def restore_weights()
file: official/nlp/modeling/layers/spectral_normalization.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8483
unit: def restore_weights()
file: official/nlp/modeling/layers/spectral_normalization.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8484
unit: def vocab_size()
file: official/nlp/modeling/layers/text_layers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8485
unit: def get_config()
file: official/nlp/modeling/layers/text_layers.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8486
unit: def get_special_tokens_dict()
file: official/nlp/modeling/layers/text_layers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8487
unit: def vocab_size()
file: official/nlp/modeling/layers/text_layers.py
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McCabe index: 1
number of parameters: 1

id: 8488
unit: def get_config()
file: official/nlp/modeling/layers/text_layers.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8489
unit: def get_special_tokens_dict()
file: official/nlp/modeling/layers/text_layers.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8490
unit: def vocab_size()
file: official/nlp/modeling/layers/text_layers.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8491
unit: def get_config()
file: official/nlp/modeling/layers/text_layers.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8492
unit: def get_special_tokens_dict()
file: official/nlp/modeling/layers/text_layers.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8493
unit: def from_config()
file: official/nlp/modeling/layers/mat_mul_with_margin.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8494
unit: def __init__()
file: official/nlp/modeling/layers/mobile_bert_layers.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8495
unit: def _get_output_shape()
file: official/nlp/modeling/layers/reuse_attention.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8496
unit: def _log_prob_from_logits()
file: official/nlp/modeling/ops/beam_search.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8497
unit: def _length_normalization()
file: official/nlp/modeling/ops/beam_search.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8498
unit: def sample_logits_with_temperature()
file: official/nlp/modeling/ops/sampling_module.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8499
unit: def log_prob_from_logits()
file: official/nlp/modeling/ops/decoding_module.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8500
unit: def shape_list()
file: official/nlp/modeling/ops/decoding_module.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8501
unit: def _process_finished_state()
file: official/nlp/modeling/ops/decoding_module.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8502
unit: def _continue_search()
file: official/nlp/modeling/ops/decoding_module.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8503
unit: def get_config()
file: official/nlp/modeling/networks/span_labeling.py
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McCabe index: 1
number of parameters: 1

id: 8504
unit: def from_config()
file: official/nlp/modeling/networks/span_labeling.py
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McCabe index: 1
number of parameters: 3

id: 8505
unit: def get_config()
file: official/nlp/modeling/networks/span_labeling.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8506
unit: def from_config()
file: official/nlp/modeling/networks/span_labeling.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8507
unit: def get_embedding_lookup_table()
file: official/nlp/modeling/networks/xlnet_base.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8508
unit: def get_embedding_table()
file: official/nlp/modeling/networks/packed_sequence_embedding.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8509
unit: def get_config()
file: official/nlp/modeling/networks/packed_sequence_embedding.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8510
unit: def from_config()
file: official/nlp/modeling/networks/packed_sequence_embedding.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8511
unit: def hidden_layers()
file: official/nlp/modeling/networks/encoder_scaffold.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8512
unit: def pooler_layer()
file: official/nlp/modeling/networks/encoder_scaffold.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8513
unit: def get_embedding_table()
file: official/nlp/modeling/networks/mobile_bert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8514
unit: def get_embedding_layer()
file: official/nlp/modeling/networks/mobile_bert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8515
unit: def transformer_layers()
file: official/nlp/modeling/networks/mobile_bert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8516
unit: def pooler_layer()
file: official/nlp/modeling/networks/mobile_bert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8517
unit: def get_embedding_table()
file: official/nlp/modeling/networks/bert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8518
unit: def get_embedding_layer()
file: official/nlp/modeling/networks/bert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8519
unit: def get_config()
file: official/nlp/modeling/networks/bert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8520
unit: def transformer_layers()
file: official/nlp/modeling/networks/bert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8521
unit: def pooler_layer()
file: official/nlp/modeling/networks/bert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8522
unit: def get_embedding_table()
file: official/nlp/modeling/networks/bert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8523
unit: def get_embedding_layer()
file: official/nlp/modeling/networks/bert_encoder.py
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McCabe index: 1
number of parameters: 1

id: 8524
unit: def get_config()
file: official/nlp/modeling/networks/bert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8525
unit: def transformer_layers()
file: official/nlp/modeling/networks/bert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8526
unit: def pooler_layer()
file: official/nlp/modeling/networks/bert_encoder.py
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McCabe index: 1
number of parameters: 1

id: 8527
unit: def get_config()
file: official/nlp/modeling/networks/classification.py
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McCabe index: 1
number of parameters: 1

id: 8528
unit: def from_config()
file: official/nlp/modeling/networks/classification.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8529
unit: def get_embedding_table()
file: official/nlp/modeling/networks/albert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8530
unit: def get_config()
file: official/nlp/modeling/networks/albert_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8531
unit: def from_config()
file: official/nlp/modeling/networks/albert_encoder.py
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McCabe index: 1
number of parameters: 2

id: 8532
unit: def get_embedding_table()
file: official/nlp/modeling/networks/funnel_transformer.py
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McCabe index: 1
number of parameters: 1

id: 8533
unit: def get_embedding_layer()
file: official/nlp/modeling/networks/funnel_transformer.py
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McCabe index: 1
number of parameters: 1

id: 8534
unit: def get_config()
file: official/nlp/modeling/networks/funnel_transformer.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8535
unit: def transformer_layers()
file: official/nlp/modeling/networks/funnel_transformer.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8536
unit: def pooler_layer()
file: official/nlp/modeling/networks/funnel_transformer.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8537
unit: def checkpoint_items()
file: official/nlp/modeling/models/bert_span_labeler.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8538
unit: def get_config()
file: official/nlp/modeling/models/bert_span_labeler.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8539
unit: def from_config()
file: official/nlp/modeling/models/bert_span_labeler.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8540
unit: def get_config()
file: official/nlp/modeling/models/bert_classifier.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8541
unit: def from_config()
file: official/nlp/modeling/models/bert_classifier.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8542
unit: def checkpoint_items()
file: official/nlp/modeling/models/t5.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8543
unit: def get_config()
file: official/nlp/modeling/models/electra_pretrainer.py
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McCabe index: 1
number of parameters: 1

id: 8544
unit: def from_config()
file: official/nlp/modeling/models/electra_pretrainer.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8545
unit: def checkpoint_items()
file: official/nlp/modeling/models/bert_token_classifier.py
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McCabe index: 1
number of parameters: 1

id: 8546
unit: def get_config()
file: official/nlp/modeling/models/bert_token_classifier.py
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McCabe index: 1
number of parameters: 1

id: 8547
unit: def from_config()
file: official/nlp/modeling/models/bert_token_classifier.py
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McCabe index: 1
number of parameters: 3

id: 8548
unit: def get_config()
file: official/nlp/modeling/models/dual_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8549
unit: def from_config()
file: official/nlp/modeling/models/dual_encoder.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8550
unit: def get_config()
file: official/nlp/modeling/models/xlnet.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8551
unit: def from_config()
file: official/nlp/modeling/models/xlnet.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8552
unit: def checkpoint_items()
file: official/nlp/modeling/models/xlnet.py
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McCabe index: 1
number of parameters: 1

id: 8553
unit: def get_config()
file: official/nlp/modeling/models/xlnet.py
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McCabe index: 1
number of parameters: 1

id: 8554
unit: def from_config()
file: official/nlp/modeling/models/xlnet.py
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McCabe index: 1
number of parameters: 3

id: 8555
unit: def checkpoint_items()
file: official/nlp/modeling/models/xlnet.py
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McCabe index: 1
number of parameters: 1

id: 8556
unit: def get_config()
file: official/nlp/modeling/models/xlnet.py
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McCabe index: 1
number of parameters: 1

id: 8557
unit: def from_config()
file: official/nlp/modeling/models/xlnet.py
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McCabe index: 1
number of parameters: 3

id: 8558
unit: def get_config()
file: official/nlp/modeling/models/bert_pretrainer.py
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McCabe index: 1
number of parameters: 1

id: 8559
unit: def from_config()
file: official/nlp/modeling/models/bert_pretrainer.py
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unit: def _create_examples_tfds()
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unit: def get_labels()
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unit: def get_labels()
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unit: def get_processor_name()
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unit: def get_labels()
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unit: def get_labels()
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unit: def get_labels()
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unit: def get_processor_name()
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unit: def get_labels()
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unit: def get_processor_name()
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unit: def get_labels()
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unit: def get_processor_name()
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unit: def get_labels()
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unit: def get_processor_name()
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id: 8622
unit: def __str__()
file: official/nlp/data/squad_lib.py
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unit: def close()
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unit: def __repr__()
file: official/nlp/data/create_xlnet_pretraining_data.py
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unit: def _is_functional_piece()
file: official/nlp/data/create_xlnet_pretraining_data.py
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id: 8626
unit: def __str__()
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unit: def close()
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unit: def __repr__()
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unit: def register_data_loader_cls()
file: official/nlp/data/data_loader_factory.py
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unit: def gelu()
file: official/nlp/xlnet/xlnet_modeling.py
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unit: def is_special_none_tensor()
file: official/nlp/xlnet/xlnet_modeling.py
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unit: def call()
file: official/nlp/xlnet/xlnet_modeling.py
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id: 8633
unit: def compute_exact()
file: official/nlp/xlnet/squad_utils.py
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id: 8634
unit: def __str__()
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unit: def _int64_feature()
file: official/nlp/xlnet/preprocess_pretrain_data.py
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unit: def _float_feature()
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unit: def get_train_examples()
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unit: def get_labels()
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id: 8651
unit: def _float_metric_value()
file: official/nlp/xlnet/training_utils.py
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id: 8652
unit: def _exact_match_score()
file: official/nlp/tools/squad_evaluate_v1_1.py
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unit: def _compute_exact()
file: official/nlp/tools/squad_evaluate_v2_0.py
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id: 8654
unit: def convert_tokens_to_ids()
file: official/nlp/tools/tokenization.py
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McCabe index: 1
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id: 8655
unit: def convert_ids_to_tokens()
file: official/nlp/tools/tokenization.py
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McCabe index: 1
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id: 8656
unit: def convert_tokens_to_ids()
file: official/nlp/tools/tokenization.py
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McCabe index: 1
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id: 8657
unit: def convert_ids_to_tokens()
file: official/nlp/tools/tokenization.py
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McCabe index: 1
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id: 8658
unit: def tokenize()
file: official/nlp/tools/tokenization.py
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McCabe index: 1
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id: 8659
unit: def convert_tokens_to_ids()
file: official/nlp/tools/tokenization.py
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McCabe index: 2
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id: 8660
unit: def convert_ids_to_tokens()
file: official/nlp/tools/tokenization.py
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McCabe index: 2
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id: 8661
unit: def _build_encoder()
file: official/nlp/tasks/masked_lm.py
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McCabe index: 1
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unit: def build_model()
file: official/nlp/tasks/electra_task.py
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unit: def set_preprocessed_eval_input_path()
file: official/nlp/tasks/question_answering.py
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McCabe index: 1
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id: 8664
unit: def process_compiled_metrics()
file: official/nlp/tasks/sentence_prediction.py
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id: 8665
unit: def serve()
file: official/nlp/serving/serving_modules.py
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unit: def __call__()
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id: 8667
unit: def best_value()
file: orbit/actions/new_best_metric.py
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McCabe index: 1
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unit: def read()
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unit: def managed_files()
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McCabe index: 1
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id: 8670
unit: def next_name()
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McCabe index: 1
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file: orbit/utils/epoch_helper.py
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McCabe index: 1
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unit: def eval_step()
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McCabe index: 1
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unit: def eval_end()
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McCabe index: 1
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unit: def __init__()
file: research/vid2depth/ops/icp_train_demo.py
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unit: def main()
file: research/vid2depth/ops/icp_train_demo.py
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id: 8685
unit: def main()
file: research/vid2depth/inference.py
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id: 8686
unit: def gradient_x()
file: research/vid2depth/model.py
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id: 8687
unit: def gradient_y()
file: research/vid2depth/model.py
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id: 8688
unit: def preprocess_image()
file: research/vid2depth/reader.py
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id: 8689
unit: def is_a_numpy_array()
file: research/vid2depth/util.py
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id: 8690
unit: def get_resource_path()
file: research/vid2depth/dataset/dataset_loader.py
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id: 8691
unit: def atoi()
file: research/vid2depth/dataset/dataset_loader.py
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id: 8692
unit: def natural_keys()
file: research/vid2depth/dataset/dataset_loader.py
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id: 8693
unit: def _gen_example_star()
file: research/vid2depth/dataset/gen_data.py
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id: 8694
unit: def main()
file: research/vid2depth/dataset/gen_data.py
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id: 8695
unit: def __call__()
file: research/efficient-hrl/context/samplers.py
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id: 8696
unit: def set_replay()
file: research/efficient-hrl/context/samplers.py
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id: 8697
unit: def set_replay()
file: research/efficient-hrl/context/samplers.py
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id: 8698
unit: def _add_custom_reward_fns()
file: research/efficient-hrl/context/context.py
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unit: def _add_custom_sampler_fns()
file: research/efficient-hrl/context/context.py
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file: research/efficient-hrl/context/context.py
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unit: def vars()
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id: 8702
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id: 8703
unit: def tf_env()
file: research/efficient-hrl/context/context.py
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file: research/efficient-hrl/context/gin_utils.py
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id: 8705
unit: def q_inv()
file: research/efficient-hrl/environments/ant.py
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id: 8706
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file: research/efficient-hrl/environments/ant.py
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file: research/efficient-hrl/environments/ant.py
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unit: def get_xy()
file: research/efficient-hrl/environments/ant.py
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unit: def __init__()
file: research/efficient-hrl/environments/create_maze_env.py
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id: 8710
unit: def start_collect()
file: research/efficient-hrl/environments/create_maze_env.py
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id: 8711
unit: def reset()
file: research/efficient-hrl/environments/create_maze_env.py
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id: 8712
unit: def get_ori()
file: research/efficient-hrl/environments/maze_env.py
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id: 8713
unit: def viewer()
file: research/efficient-hrl/environments/maze_env.py
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id: 8714
unit: def render()
file: research/efficient-hrl/environments/maze_env.py
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id: 8715
unit: def action_space()
file: research/efficient-hrl/environments/maze_env.py
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id: 8716
unit: def _step()
file: research/efficient-hrl/environments/point.py
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id: 8717
unit: def get_ori()
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id: 8718
unit: def can_move_z()
file: research/efficient-hrl/environments/maze_env_utils.py
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id: 8719
unit: def can_spin()
file: research/efficient-hrl/environments/maze_env_utils.py
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id: 8720
unit: def can_move()
file: research/efficient-hrl/environments/maze_env_utils.py
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id: 8721
unit: def success_fn()
file: research/efficient-hrl/run_env.py
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unit: def action_space()
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unit: def _clip_to_spec()
file: research/efficient-hrl/utils/utils.py
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id: 8724
unit: def assign_vars()
file: research/efficient-hrl/utils/utils.py
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id: 8725
unit: def identity_vars()
file: research/efficient-hrl/utils/utils.py
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id: 8726
unit: def batch_list()
file: research/efficient-hrl/utils/utils.py
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id: 8727
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file: research/efficient-hrl/agent.py
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id: 8728
unit: def meta_agent()
file: research/efficient-hrl/agent.py
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unit: def get_action_vars()
file: research/efficient-hrl/agent.py
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unit: def get_context_vars()
file: research/efficient-hrl/agent.py
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id: 8731
unit: def step_cond_fn()
file: research/efficient-hrl/agent.py
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unit: def reset_episode_cond_fn()
file: research/efficient-hrl/agent.py
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unit: def reset_env_cond_fn()
file: research/efficient-hrl/agent.py
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id: 8734
unit: def context_vars()
file: research/efficient-hrl/agent.py
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id: 8735
unit: def __init__()
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unit: def __init__()
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unit: def __init__()
file: research/efficient-hrl/agent.py
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id: 8738
unit: def buffer_size()
file: research/efficient-hrl/agents/circular_buffer.py
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id: 8739
unit: def scope()
file: research/efficient-hrl/agents/circular_buffer.py
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id: 8740
unit: def num_adds()
file: research/efficient-hrl/agents/circular_buffer.py
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id: 8741
unit: def add()
file: research/efficient-hrl/agents/circular_buffer.py
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unit: def get_num_tensors()
file: research/efficient-hrl/agents/circular_buffer.py
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id: 8743
unit: def action()
file: research/efficient-hrl/agents/ddpg_agent.py
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id: 8744
unit: def round_int()
file: research/autoaugment/shake_drop.py
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id: 8745
unit: def calc_prob()
file: research/autoaugment/shake_drop.py
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id: 8746
unit: def float_parameter()
file: research/autoaugment/augmentation_transforms.py
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id: 8747
unit: def int_parameter()
file: research/autoaugment/augmentation_transforms.py
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unit: def __repr__()
file: research/autoaugment/augmentation_transforms.py
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unit: def __call__()
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id: 8750
unit: def __init__()
file: research/autoaugment/train_cifar.py
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id: 8751
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file: research/autoaugment/train_cifar.py
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id: 8752
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file: research/autoaugment/train_cifar.py
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id: 8753
unit: def session()
file: research/autoaugment/train_cifar.py
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id: 8754
unit: def num_trainable_params()
file: research/autoaugment/train_cifar.py
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id: 8755
unit: def stride_arr()
file: research/autoaugment/custom_ops.py
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id: 8756
unit: def assign_moving_average()
file: research/seq_flow_lite/layers/base_layers.py
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id: 8757
unit: def quantized_tanh()
file: research/seq_flow_lite/layers/base_layers.py
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id: 8758
unit: def quantized_sigmoid()
file: research/seq_flow_lite/layers/base_layers.py
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id: 8759
unit: def get_batch_dimension()
file: research/seq_flow_lite/layers/base_layers.py
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id: 8760
unit: def inverse_normalizer()
file: research/seq_flow_lite/layers/base_layers.py
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id: 8761
unit: def _reduce()
file: research/seq_flow_lite/layers/normalization_layers.py
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id: 8762
unit: def _create_normalizer()
file: research/seq_flow_lite/layers/dense_layers.py
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id: 8763
unit: def quantize_using_output_range()
file: research/seq_flow_lite/layers/dense_layers.py
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id: 8764
unit: def build()
file: research/seq_flow_lite/layers/misc_layers.py
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id: 8765
unit: def call()
file: research/seq_flow_lite/layers/qrnn_layers.py
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id: 8766
unit: def call()
file: research/seq_flow_lite/layers/qrnn_layers.py
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id: 8767
unit: def _create_normalizer()
file: research/seq_flow_lite/layers/conv_layers.py
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id: 8768
unit: def quantize_using_output_range()
file: research/seq_flow_lite/layers/conv_layers.py
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id: 8769
unit: def imdb_reviews()
file: research/seq_flow_lite/input_fn_reader.py
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id: 8770
unit: explicit XFixHash()
file: research/seq_flow_lite/tf_ops/projection_util.cc
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id: 8771
unit: explicit ExpectedValueOp()
file: research/seq_flow_lite/tf_ops/tf_custom_ops.cc
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id: 8772
unit: explicit LayerNormOp()
file: research/seq_flow_lite/tf_ops/tf_custom_ops.cc
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id: 8773
unit: explicit PoolingOp()
file: research/seq_flow_lite/tf_ops/tf_custom_ops.cc
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id: 8774
unit: def call()
file: research/seq_flow_lite/models/sgnn/sgnn.py
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id: 8775
unit: def compute_output_shape()
file: research/seq_flow_lite/models/sgnn/sgnn.py
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id: 8776
unit: def update()
file: research/cvt_text/corpus_processing/scorer.py
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id: 8777
unit: def get_loss()
file: research/cvt_text/corpus_processing/scorer.py
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id: 8778
unit: def _get_results()
file: research/cvt_text/corpus_processing/scorer.py
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id: 8779
unit: def get_loss()
file: research/cvt_text/task_specific/word_level/word_level_scorer.py
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id: 8780
unit: def get_module()
file: research/cvt_text/task_specific/task_definitions.py
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id: 8781
unit: def get_scorer()
file: research/cvt_text/task_specific/task_definitions.py
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id: 8782
unit: def __init__()
file: research/cvt_text/task_specific/task_definitions.py
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id: 8783
unit: def update_feed_dict()
file: research/cvt_text/model/task_module.py
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id: 8784
unit: def get_global_step()
file: research/cvt_text/model/multitask_model.py
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id: 8785
unit: def load_cpickle()
file: research/cvt_text/base/utils.py
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McCabe index: 2
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id: 8786
unit: def _load_cpickle_memoize()
file: research/cvt_text/base/utils.py
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McCabe index: 1
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id: 8787
unit: def __getitem__()
file: research/cvt_text/base/embeddings.py
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id: 8788
unit: def get_inv_char_vocab()
file: research/cvt_text/base/embeddings.py
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McCabe index: 2
number of parameters: 0

id: 8789
unit: def get_word_vocab()
file: research/cvt_text/base/embeddings.py
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McCabe index: 1
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id: 8790
unit: def get_word_embeddings()
file: research/cvt_text/base/embeddings.py
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McCabe index: 1
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id: 8791
unit: def get_punctuation_ids()
file: research/cvt_text/base/embeddings.py
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McCabe index: 1
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id: 8792
unit: def normalize_word()
file: research/cvt_text/base/embeddings.py
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McCabe index: 1
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id: 8793
unit: def __enter__()
file: research/adversarial_text/data/data_utils.py
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id: 8794
unit: def __exit__()
file: research/adversarial_text/data/data_utils.py
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id: 8795
unit: def tokens()
file: research/adversarial_text/data/data_utils.py
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id: 8796
unit: def label()
file: research/adversarial_text/data/data_utils.py
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id: 8797
unit: def weight()
file: research/adversarial_text/data/data_utils.py
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id: 8798
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file: research/adversarial_text/data/data_utils.py
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id: 8799
unit: def multivalent_tokens()
file: research/adversarial_text/data/data_utils.py
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McCabe index: 1
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id: 8800
unit: def _tokens()
file: research/adversarial_text/data/data_utils.py
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id: 8801
unit: def _labels()
file: research/adversarial_text/data/data_utils.py
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id: 8802
unit: def _weights()
file: research/adversarial_text/data/data_utils.py
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id: 8803
unit: def __len__()
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id: 8804
unit: def __getitem__()
file: research/adversarial_text/data/data_utils.py
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id: 8805
unit: def split_by_punct()
file: research/adversarial_text/data/data_utils.py
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McCabe index: 4
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id: 8806
unit: def tokens()
file: research/adversarial_text/inputs.py
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McCabe index: 1
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id: 8807
unit: def weights()
file: research/adversarial_text/inputs.py
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McCabe index: 1
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id: 8808
unit: def eos_weights()
file: research/adversarial_text/inputs.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8809
unit: def labels()
file: research/adversarial_text/inputs.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8810
unit: def length()
file: research/adversarial_text/inputs.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8811
unit: def state_name()
file: research/adversarial_text/inputs.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8812
unit: def build_shuffling_tf_record_writer()
file: research/adversarial_text/gen_data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8813
unit: def build_tf_record_writer()
file: research/adversarial_text/gen_data.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8814
unit: def GoogleLandmarksInfo()
file: research/delf/delf/python/datasets/google_landmarks_dataset/googlelandmarks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8815
unit: def __iter__()
file: research/delf/delf/python/datasets/tuples_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8816
unit: def __len__()
file: research/delf/delf/python/datasets/generic_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8817
unit: def call()
file: research/delf/delf/python/normalization_layers/normalization.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8818
unit: def _int64_feature()
file: research/delf/delf/python/training/build_image_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8819
unit: def _bytes_feature()
file: research/delf/delf/python/training/build_image_dataset.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8820
unit: def __init__()
file: research/delf/delf/python/training/global_features_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8821
unit: def LoadWeights()
file: research/delf/delf/python/training/model/export_CNN_global.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8822
unit: def LoadWeights()
file: research/delf/delf/python/training/model/export_local_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8823
unit: def LoadWeights()
file: research/delf/delf/python/training/model/export_local_and_global_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8824
unit: def call()
file: research/delf/delf/python/training/model/resnet50.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8825
unit: def LoadWeights()
file: research/delf/delf/python/training/model/export_global_model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8826
unit: def __call__()
file: research/delf/delf/python/training/losses/ranking_losses.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8827
unit: def sanitize()
file: research/rebar/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8828
unit: def safe_log_prob()
file: research/rebar/utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8829
unit: def rms()
file: research/rebar/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8830
unit: def corr()
file: research/rebar/utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8831
unit: def initialize()
file: research/rebar/rebar.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8832
unit: def __init__()
file: research/rebar/logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8833
unit: def log()
file: research/rebar/logger.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8834
unit: def flush()
file: research/rebar/logger.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8835
unit: def build()
file: research/lstm_object_detection/model_builder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8836
unit: def list_items()
file: research/lstm_object_detection/inputs/tf_sequence_example_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8837
unit: def unroll_length()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8838
unit: def unroll_length()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8839
unit: def get_base_network_scope()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8840
unit: def clip_state()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8841
unit: def clip_state()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8842
unit: def depth_multipliers()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8843
unit: def depth_multipliers()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8844
unit: def lstm_state_depth()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8845
unit: def lstm_state_depth()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8846
unit: def is_quantized()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8847
unit: def is_quantized()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8848
unit: def interleaved()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8849
unit: def states_and_outputs()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8850
unit: def step()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8851
unit: def preprocess()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8852
unit: def get_base_network_scope()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8853
unit: def create_lstm_cell()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 8854
unit: def pre_bottleneck()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8855
unit: def pre_bottleneck()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8856
unit: def low_res()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8857
unit: def low_res()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8858
unit: def interleaved()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8859
unit: def interleave_method()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8860
unit: def interleave_method()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8861
unit: def extract_base_features_large()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8862
unit: def extract_base_features_small()
file: research/lstm_object_detection/meta_architectures/lstm_ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8863
unit: def __enter__()
file: research/lstm_object_detection/lstm/rnn_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8864
unit: def __exit__()
file: research/lstm_object_detection/lstm/rnn_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8865
unit: def state_size_flat()
file: research/lstm_object_detection/lstm/lstm_cells.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8866
unit: def output_size()
file: research/lstm_object_detection/lstm/lstm_cells.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8867
unit: def state_size_flat()
file: research/lstm_object_detection/lstm/lstm_cells.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8868
unit: def output_size()
file: research/lstm_object_detection/lstm/lstm_cells.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8869
unit: def filter_size()
file: research/lstm_object_detection/lstm/lstm_cells.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8870
unit: def num_groups()
file: research/lstm_object_detection/lstm/lstm_cells.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8871
unit: def _get_detection_path()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8872
unit: def _get_image_folder()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8873
unit: def _get_json_path()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8874
unit: def _get_image_path()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8875
unit: def get_spec_dtype_map()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8876
unit: def actions()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8877
unit: def to_image_id()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8878
unit: def to_vertex()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8879
unit: def graph()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8880
unit: def state()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8881
unit: def reset_for_eval()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8882
unit: def get_init_config()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8883
unit: def cur_vertex()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8884
unit: def cur_image_id()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8885
unit: def targets()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8886
unit: def goal_index()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8887
unit: def goal_string()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8888
unit: def worlds()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8889
unit: def possible_targets()
file: research/cognitive_planning/envs/active_vision_dataset_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8890
unit: def __init__()
file: research/cognitive_planning/envs/task_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8891
unit: def set_task()
file: research/cognitive_planning/envs/task_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8892
unit: def _step_no_reward()
file: research/cognitive_planning/envs/task_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8893
unit: def _reset_env()
file: research/cognitive_planning/envs/task_env.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8894
unit: def extra_train_ops()
file: research/cognitive_planning/policies.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8895
unit: def build()
file: research/cognitive_planning/policies.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8896
unit: def __init__()
file: research/cognitive_planning/policies.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8897
unit: def get_max_label_map_index()
file: research/cognitive_planning/label_map_util.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8898
unit: def create_class_agnostic_category_index()
file: research/cognitive_planning/label_map_util.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 8899
unit: def extra_train_ops()
file: research/cognitive_planning/embedders.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8900
unit: def _stride_arr()
file: research/cognitive_planning/embedders.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8901
unit: def _relu()
file: research/cognitive_planning/embedders.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8902
unit: def _relu()
file: research/cognitive_planning/embedders.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8903
unit: def build()
file: research/cognitive_planning/embedders.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8904
unit: def inputs()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8905
unit: def output()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8906
unit: def query()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8907
unit: def config()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8908
unit: def episode()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8909
unit: def reset()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8910
unit: def target_loss()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8911
unit: def reward()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8912
unit: def target_loss()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8913
unit: def target_loss()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8914
unit: def location()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8915
unit: def location()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8916
unit: def reward()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8917
unit: def reset()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8918
unit: def reward()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8919
unit: def reset()
file: research/cognitive_planning/tasks.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8920
unit: def reward()
file: research/cognitive_planning/tasks.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8921
unit: def var_size()
file: research/pcl_rl/optimizers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8922
unit: def get_flat()
file: research/pcl_rl/optimizers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8923
unit: def __init__()
file: research/pcl_rl/optimizers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8924
unit: def get_bonus()
file: research/pcl_rl/full_episode_objective.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8925
unit: def __len__()
file: research/pcl_rl/replay_buffer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8926
unit: def update_last_batch()
file: research/pcl_rl/replay_buffer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8927
unit: def __len__()
file: research/pcl_rl/replay_buffer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8928
unit: def setup()
file: research/pcl_rl/controller.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8929
unit: def initial_internal_state()
file: research/pcl_rl/controller.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8930
unit: def get_env()
file: research/pcl_rl/gym_wrapper.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8931
unit: def get_seeds()
file: research/pcl_rl/gym_wrapper.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8932
unit: def all_done()
file: research/pcl_rl/gym_wrapper.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8933
unit: def get_one()
file: research/pcl_rl/gym_wrapper.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8934
unit: def __len__()
file: research/pcl_rl/gym_wrapper.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8935
unit: def var_size()
file: research/pcl_rl/trust_region.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8936
unit: def get_flat()
file: research/pcl_rl/trust_region.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8937
unit: def output_dim()
file: research/pcl_rl/policy.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8938
unit: def hparams_string()
file: research/pcl_rl/trainer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 8939
unit: def do_before_step()
file: research/pcl_rl/trainer.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8940
unit: def is_discrete()
file: research/pcl_rl/env_spec.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8941
unit: def is_box()
file: research/pcl_rl/env_spec.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8942
unit: def __init__()
file: research/lfads/distributions.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8943
unit: def gaussian_pos_log_likelihood()
file: research/lfads/distributions.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8944
unit: def mean()
file: research/lfads/distributions.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8945
unit: def logvar()
file: research/lfads/distributions.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8946
unit: def sample()
file: research/lfads/distributions.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8947
unit: def mean()
file: research/lfads/distributions.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8948
unit: def logvar()
file: research/lfads/distributions.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8949
unit: def sample()
file: research/lfads/distributions.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8950
unit: def __setattr__()
file: research/lfads/run_lfads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8951
unit: def state_size()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8952
unit: def output_size()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8953
unit: def state_multiplier()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8954
unit: def output_from_state()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8955
unit: def state_size()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8956
unit: def output_size()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8957
unit: def state_multiplier()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8958
unit: def output_from_state()
file: research/lfads/lfads.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8959
unit: def to_json()
file: research/marco/jpeg2json.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8960
unit: def get_train_input()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8961
unit: def get_eval_input()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8962
unit: def unroll_cell()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 8963
unit: def is_training()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8964
unit: def get_train_input()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8965
unit: def __init__()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8966
unit: def get_train_input()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8967
unit: def __init__()
file: research/attention_ocr/python/sequence_layers.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8968
unit: def set_mparam()
file: research/attention_ocr/python/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8969
unit: def __enter__()
file: research/object_detection/predictors/convolutional_keras_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8970
unit: def __exit__()
file: research/object_detection/predictors/convolutional_keras_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8971
unit: def __enter__()
file: research/object_detection/predictors/convolutional_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8972
unit: def __exit__()
file: research/object_detection/predictors/convolutional_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 8973
unit: def num_classes()
file: research/object_detection/predictors/convolutional_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8974
unit: def _arg_scope_func_key()
file: research/object_detection/predictors/convolutional_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8975
unit: def num_classes()
file: research/object_detection/predictors/convolutional_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8976
unit: def num_classes()
file: research/object_detection/predictors/mask_rcnn_keras_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8977
unit: def get_second_stage_prediction_heads()
file: research/object_detection/predictors/mask_rcnn_keras_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8978
unit: def get_third_stage_prediction_heads()
file: research/object_detection/predictors/mask_rcnn_keras_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8979
unit: def num_classes()
file: research/object_detection/predictors/rfcn_keras_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8980
unit: def num_classes()
file: research/object_detection/predictors/rfcn_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8981
unit: def __init__()
file: research/object_detection/predictors/heads/head.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8982
unit: def predict()
file: research/object_detection/predictors/heads/head.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 8983
unit: def call()
file: research/object_detection/predictors/heads/head.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8984
unit: def _predict()
file: research/object_detection/predictors/heads/head.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8985
unit: def num_classes()
file: research/object_detection/predictors/mask_rcnn_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8986
unit: def get_second_stage_prediction_heads()
file: research/object_detection/predictors/mask_rcnn_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8987
unit: def get_third_stage_prediction_heads()
file: research/object_detection/predictors/mask_rcnn_box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8988
unit: def input_shape()
file: research/object_detection/export_tflite_graph_lib_tf2.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8989
unit: def get_model()
file: research/object_detection/export_tflite_graph_lib_tf2.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8990
unit: def input_shape()
file: research/object_detection/export_tflite_graph_lib_tf2.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8991
unit: def code_size()
file: research/object_detection/box_coders/square_box_coder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8992
unit: def __init__()
file: research/object_detection/box_coders/mean_stddev_box_coder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8993
unit: def code_size()
file: research/object_detection/box_coders/mean_stddev_box_coder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8994
unit: def code_size()
file: research/object_detection/box_coders/keypoint_box_coder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8995
unit: def code_size()
file: research/object_detection/box_coders/faster_rcnn_box_coder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8996
unit: def convert_masks_to_binary()
file: research/object_detection/metrics/lvis_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 8997
unit: def __init__()
file: research/object_detection/metrics/tf_example_parser.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8998
unit: def __init__()
file: research/object_detection/metrics/tf_example_parser.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 8999
unit: def __init__()
file: research/object_detection/metrics/tf_example_parser.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9000
unit: def add_single_ground_truth_image_info()
file: research/object_detection/metrics/calibration_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9001
unit: def add_single_detected_image_info()
file: research/object_detection/metrics/calibration_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9002
unit: def evaluate()
file: research/object_detection/metrics/calibration_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9003
unit: def clear()
file: research/object_detection/metrics/calibration_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9004
unit: def GetCategory()
file: research/object_detection/metrics/coco_tools.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9005
unit: def GetAgnosticMode()
file: research/object_detection/metrics/coco_tools.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9006
unit: def GetCategoryIdList()
file: research/object_detection/metrics/coco_tools.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9007
unit: def convert_masks_to_binary()
file: research/object_detection/metrics/coco_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9008
unit: def _swap_labelmap_dict()
file: research/object_detection/metrics/oid_vrd_challenge_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9009
unit: def use_batch_norm()
file: research/object_detection/builders/hyperparams_builder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9010
unit: def use_sync_batch_norm()
file: research/object_detection/builders/hyperparams_builder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9011
unit: def force_use_bias()
file: research/object_detection/builders/hyperparams_builder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9012
unit: def decode()
file: research/object_detection/core/data_decoder.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9013
unit: def match_results()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9014
unit: def matched_column_indices()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9015
unit: def matched_column_indicator()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9016
unit: def num_matched_columns()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9017
unit: def unmatched_column_indices()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9018
unit: def unmatched_column_indicator()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9019
unit: def num_unmatched_columns()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9020
unit: def ignored_column_indices()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9021
unit: def ignored_column_indicator()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9022
unit: def num_ignored_columns()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9023
unit: def unmatched_or_ignored_column_indices()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9024
unit: def _reshape_and_cast()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9025
unit: def __init__()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9026
unit: def _match()
file: research/object_detection/core/matcher.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9027
unit: def is_keras_model()
file: research/object_detection/core/box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9028
unit: def num_classes()
file: research/object_detection/core/box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9029
unit: def _predict()
file: research/object_detection/core/box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 9030
unit: def is_keras_model()
file: research/object_detection/core/box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9031
unit: def num_classes()
file: research/object_detection/core/box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9032
unit: def call()
file: research/object_detection/core/box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9033
unit: def _predict()
file: research/object_detection/core/box_predictor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9034
unit: def _compare()
file: research/object_detection/core/region_similarity_calculator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9035
unit: def _compare()
file: research/object_detection/core/region_similarity_calculator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9036
unit: def _compare()
file: research/object_detection/core/region_similarity_calculator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9037
unit: def _compare()
file: research/object_detection/core/region_similarity_calculator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9038
unit: def num_boxes()
file: research/object_detection/core/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9039
unit: def num_boxes_static()
file: research/object_detection/core/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9040
unit: def get_all_fields()
file: research/object_detection/core/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9041
unit: def get_extra_fields()
file: research/object_detection/core/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 9042
unit: def add_field()
file: research/object_detection/core/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9043
unit: def has_field()
file: research/object_detection/core/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9044
unit: def get()
file: research/object_detection/core/box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9045
unit: def __enter__()
file: research/object_detection/core/post_processing.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9046
unit: def __exit__()
file: research/object_detection/core/post_processing.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 9047
unit: def name_scope()
file: research/object_detection/core/anchor_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9048
unit: def check_num_anchors()
file: research/object_detection/core/anchor_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9049
unit: def num_anchors_per_location()
file: research/object_detection/core/anchor_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9050
unit: def _generate()
file: research/object_detection/core/anchor_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9051
unit: def __init__()
file: research/object_detection/core/minibatch_sampler.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9052
unit: def subsample()
file: research/object_detection/core/minibatch_sampler.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 9053
unit: def num_classes()
file: research/object_detection/core/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9054
unit: def groundtruth_has_field()
file: research/object_detection/core/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9055
unit: def get_side_inputs()
file: research/object_detection/core/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9056
unit: def preprocess()
file: research/object_detection/core/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9057
unit: def predict()
file: research/object_detection/core/model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 9058
unit: def postprocess()
file: research/object_detection/core/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 9059
unit: def loss()
file: research/object_detection/core/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9060
unit: def regularization_losses()
file: research/object_detection/core/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9061
unit: def restore_from_objects()
file: research/object_detection/core/model.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9062
unit: def updates()
file: research/object_detection/core/model.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9063
unit: def code_size()
file: research/object_detection/core/box_coder.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9064
unit: def _encode()
file: research/object_detection/core/box_coder.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9065
unit: def _decode()
file: research/object_detection/core/box_coder.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9066
unit: def _flip_masks_left_right()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9067
unit: def _flip_masks_up_down()
file: research/object_detection/core/preprocessor.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9068
unit: def rgb_to_gray()
file: research/object_detection/core/preprocessor.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9069
unit: def __init__()
file: research/object_detection/core/preprocessor_cache.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9070
unit: def clear()
file: research/object_detection/core/preprocessor_cache.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9071
unit: def _compute_loss()
file: research/object_detection/core/losses.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 9072
unit: def parse()
file: research/object_detection/core/data_parser.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9073
unit: def box_coder()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9074
unit: def _default_regression_target()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9075
unit: def get_box_coder()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9076
unit: def __init__()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9077
unit: def __init__()
file: research/object_detection/core/target_assigner.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9078
unit: def name_scope()
file: research/object_detection/anchor_generators/grid_anchor_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9079
unit: def num_anchors_per_location()
file: research/object_detection/anchor_generators/grid_anchor_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9080
unit: def _center_size_bbox_to_corners_bbox()
file: research/object_detection/anchor_generators/grid_anchor_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9081
unit: def name_scope()
file: research/object_detection/anchor_generators/multiple_grid_anchor_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9082
unit: def num_anchors_per_location()
file: research/object_detection/anchor_generators/multiple_grid_anchor_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9083
unit: def name_scope()
file: research/object_detection/anchor_generators/multiscale_grid_anchor_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9084
unit: def name_scope()
file: research/object_detection/anchor_generators/flexible_grid_anchor_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9085
unit: def num_anchors_per_location()
file: research/object_detection/anchor_generators/flexible_grid_anchor_generator.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9086
unit: def _is_tensor()
file: research/object_detection/utils/shape_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9087
unit: def pad_or_clip_tensor()
file: research/object_detection/utils/shape_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9088
unit: def flatten_first_n_dimensions()
file: research/object_detection/utils/shape_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9089
unit: def __init__()
file: research/object_detection/utils/per_image_vrd_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9090
unit: def area()
file: research/object_detection/utils/np_box_mask_list_ops.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9091
unit: def ioa()
file: research/object_detection/utils/np_box_mask_list_ops.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9092
unit: def policy_v3()
file: research/object_detection/utils/autoaugment_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9093
unit: def is_tf1()
file: research/object_detection/utils/tf_version.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9094
unit: def is_tf2()
file: research/object_detection/utils/tf_version.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9095
unit: def get_masks()
file: research/object_detection/utils/np_box_mask_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9096
unit: def int64_feature()
file: research/object_detection/utils/dataset_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9097
unit: def int64_list_feature()
file: research/object_detection/utils/dataset_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9098
unit: def bytes_feature()
file: research/object_detection/utils/dataset_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9099
unit: def bytes_list_feature()
file: research/object_detection/utils/dataset_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9100
unit: def float_feature()
file: research/object_detection/utils/dataset_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9101
unit: def float_list_feature()
file: research/object_detection/utils/dataset_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9102
unit: def area()
file: research/object_detection/utils/np_box_ops.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9103
unit: def _process_groundtruth_boxes()
file: research/object_detection/utils/vrd_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9104
unit: def _process_detection_boxes()
file: research/object_detection/utils/vrd_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9105
unit: def intersection()
file: research/object_detection/utils/np_box_list_ops.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9106
unit: def iou()
file: research/object_detection/utils/np_box_list_ops.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9107
unit: def ioa()
file: research/object_detection/utils/np_box_list_ops.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9108
unit: def reduce_sum_trailing_dimensions()
file: research/object_detection/utils/ops.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9109
unit: def __init__()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9110
unit: def observe_result_dict_for_single_example()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9111
unit: def add_single_ground_truth_image_info()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9112
unit: def add_single_detected_image_info()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9113
unit: def get_estimator_eval_metric_ops()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9114
unit: def evaluate()
file: research/object_detection/utils/object_detection_evaluation.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9115
unit: def clear()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9116
unit: def get_internal_state()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9117
unit: def clear_detections()
file: research/object_detection/utils/object_detection_evaluation.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9118
unit: def clear()
file: research/object_detection/utils/visualization_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9119
unit: def images_from_evaluation_dict()
file: research/object_detection/utils/visualization_utils.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9120
unit: def num_boxes()
file: research/object_detection/utils/np_box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9121
unit: def get_extra_fields()
file: research/object_detection/utils/np_box_list.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 3
number of parameters: 1

id: 9122
unit: def has_field()
file: research/object_detection/utils/np_box_list.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9123
unit: def get()
file: research/object_detection/utils/np_box_list.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9124
unit: def get_max_label_map_index()
file: research/object_detection/utils/label_map_util.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 9125
unit: def create_class_agnostic_category_index()
file: research/object_detection/utils/label_map_util.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9126
unit: def get_optimizer_type()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9127
unit: def get_learning_rate_type()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9128
unit: def _update_batch_size()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9129
unit: def _update_train_steps()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9130
unit: def _update_use_moving_averages()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9131
unit: def _update_retain_original_images()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9132
unit: def _update_use_bfloat16()
file: research/object_detection/utils/config_util.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9133
unit: def call()
file: research/object_detection/utils/bifpn_utils.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9134
unit: def __enter__()
file: research/object_detection/utils/context_manager.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9135
unit: def out_stride()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9136
unit: def num_feature_outputs()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9137
unit: def _to_float32()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9138
unit: def flattened_indices_from_row_col_indices()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9139
unit: def get_keypoint_name()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9140
unit: def prediction_head_dict()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9141
unit: def regularization_losses()
file: research/object_detection/meta_architectures/center_net_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9142
unit: def is_keras_model()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9143
unit: def preprocess()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9144
unit: def extract_features()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9145
unit: def is_keras_model()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9146
unit: def preprocess()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9147
unit: def _extract_features()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9148
unit: def call()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9149
unit: def feature_extractor()
file: research/object_detection/meta_architectures/ssd_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9150
unit: def preprocess()
file: research/object_detection/meta_architectures/ssd_meta_arch_test_lib.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9151
unit: def preprocess()
file: research/object_detection/meta_architectures/ssd_meta_arch_test_lib.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9152
unit: def name_scope()
file: research/object_detection/meta_architectures/ssd_meta_arch_test_lib.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9153
unit: def num_anchors_per_location()
file: research/object_detection/meta_architectures/ssd_meta_arch_test_lib.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9154
unit: def num_anchors()
file: research/object_detection/meta_architectures/ssd_meta_arch_test_lib.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9155
unit: def preprocess()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9156
unit: def preprocess()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9157
unit: def preprocess()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9158
unit: def preprocess()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch_test_lib.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9159
unit: def preprocess()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9160
unit: def _extract_proposal_features()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9161
unit: def _extract_box_classifier_features()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9162
unit: def preprocess()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9163
unit: def get_proposal_feature_extractor_model()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9164
unit: def get_box_classifier_feature_extractor_model()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9165
unit: def first_stage_feature_extractor_scope()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9166
unit: def second_stage_feature_extractor_scope()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9167
unit: def first_stage_box_predictor_scope()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
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McCabe index: 1
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unit: def second_stage_box_predictor_scope()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
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number of parameters: 1

id: 9169
unit: def feature_extractor()
file: research/object_detection/meta_architectures/faster_rcnn_meta_arch.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9170
unit: def __call__()
file: research/object_detection/meta_architectures/deepmac_meta_arch.py
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McCabe index: 1
number of parameters: 2

id: 9171
unit: def _get_side_names_from_zip()
file: research/object_detection/exporter_lib_v2.py
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number of parameters: 2

id: 9172
unit: def __call__()
file: research/object_detection/exporter_lib_v2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9173
unit: def clip_to_unit()
file: research/object_detection/dataset_tools/create_coco_tf_record.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9174
unit: def feature_list_feature()
file: research/object_detection/dataset_tools/create_ava_actions_tf_record.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9175
unit: def setup()
file: research/object_detection/dataset_tools/context_rcnn/generate_detection_data.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9176
unit: def process()
file: research/object_detection/dataset_tools/context_rcnn/generate_detection_data.py
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size: 2 LOC
McCabe index: 1
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id: 9177
unit: def process()
file: research/object_detection/dataset_tools/context_rcnn/add_context_to_examples.py
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number of parameters: 2

id: 9178
unit: def process()
file: research/object_detection/dataset_tools/context_rcnn/add_context_to_examples.py
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id: 9179
unit: def process()
file: research/object_detection/dataset_tools/context_rcnn/add_context_to_examples.py
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McCabe index: 1
number of parameters: 2

id: 9180
unit: def drop_keys()
file: research/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

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unit: def setup()
file: research/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py
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unit: def process()
file: research/object_detection/dataset_tools/context_rcnn/generate_embedding_data.py
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number of parameters: 2

id: 9183
unit: def ZeroPadding2D()
file: research/object_detection/models/keras_models/resnet_v1.py
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McCabe index: 1
number of parameters: 3

id: 9184
unit: def __getattr__()
file: research/object_detection/models/keras_models/resnet_v1.py
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id: 9185
unit: def ZeroPadding2D()
file: research/object_detection/models/keras_models/mobilenet_v1.py
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McCabe index: 1
number of parameters: 3

id: 9186
unit: def __getattr__()
file: research/object_detection/models/keras_models/mobilenet_v1.py
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number of parameters: 2

id: 9187
unit: def relu6()
file: research/object_detection/models/keras_models/base_models/original_mobilenet_v2.py
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McCabe index: 1
number of parameters: 1

id: 9188
unit: def __getattr__()
file: research/object_detection/models/keras_models/inception_resnet_v2.py
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id: 9189
unit: def call()
file: research/object_detection/models/keras_models/hourglass_network.py
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id: 9190
unit: def call()
file: research/object_detection/models/keras_models/hourglass_network.py
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number of parameters: 2

id: 9191
unit: def call()
file: research/object_detection/models/keras_models/hourglass_network.py
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McCabe index: 1
number of parameters: 2

id: 9192
unit: def out_stride()
file: research/object_detection/models/keras_models/hourglass_network.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9193
unit: def num_feature_outputs()
file: research/object_detection/models/keras_models/hourglass_network.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9194
unit: def _FixedPaddingLayer()
file: research/object_detection/models/keras_models/mobilenet_v2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9195
unit: def ZeroPadding2D()
file: research/object_detection/models/keras_models/mobilenet_v2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9196
unit: def __getattr__()
file: research/object_detection/models/keras_models/mobilenet_v2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9197
unit: def load_feature_extractor_weights()
file: research/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9198
unit: def call()
file: research/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9199
unit: def num_feature_outputs()
file: research/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9200
unit: def out_stride()
file: research/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py
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McCabe index: 1
number of parameters: 1

id: 9201
unit: def classification_backbone()
file: research/object_detection/models/center_net_resnet_v1_fpn_feature_extractor.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9202
unit: def _get_input_sizes()
file: research/object_detection/models/ssd_mobilenet_v3_feature_extractor_testbase.py
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McCabe index: 1
number of parameters: 1

id: 9203
unit: def preprocess()
file: research/object_detection/models/ssd_mobilenet_v1_feature_extractor.py
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McCabe index: 1
number of parameters: 2

id: 9204
unit: def preprocess()
file: research/object_detection/models/ssd_pnasnet_feature_extractor.py
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McCabe index: 1
number of parameters: 2

id: 9205
unit: def load_feature_extractor_weights()
file: research/object_detection/models/center_net_mobilenet_v2_feature_extractor.py
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McCabe index: 1
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unit: def call()
file: research/object_detection/models/center_net_mobilenet_v2_feature_extractor.py
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id: 9207
unit: def out_stride()
file: research/object_detection/models/center_net_mobilenet_v2_feature_extractor.py
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McCabe index: 1
number of parameters: 1

id: 9208
unit: def num_feature_outputs()
file: research/object_detection/models/center_net_mobilenet_v2_feature_extractor.py
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McCabe index: 1
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id: 9209
unit: def classification_backbone()
file: research/object_detection/models/center_net_mobilenet_v2_feature_extractor.py
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McCabe index: 1
number of parameters: 1

id: 9210
unit: def preprocess()
file: research/object_detection/models/ssd_mobiledet_feature_extractor.py
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McCabe index: 1
number of parameters: 2

id: 9211
unit: def _scope_name()
file: research/object_detection/models/ssd_resnet_v1_ppn_feature_extractor_testbase.py
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McCabe index: 1
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id: 9212
unit: def call()
file: research/object_detection/models/center_net_hourglass_feature_extractor.py
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McCabe index: 1
number of parameters: 2

id: 9213
unit: def out_stride()
file: research/object_detection/models/center_net_hourglass_feature_extractor.py
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McCabe index: 1
number of parameters: 1

id: 9214
unit: def num_feature_outputs()
file: research/object_detection/models/center_net_hourglass_feature_extractor.py
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McCabe index: 1
number of parameters: 1

id: 9215
unit: def preprocess()
file: research/object_detection/models/ssd_mobilenet_v1_keras_feature_extractor.py
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McCabe index: 1
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id: 9216
unit: def preprocess()
file: research/object_detection/models/ssd_mobilenet_v2_fpn_feature_extractor.py
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McCabe index: 1
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unit: def preprocess()
file: research/object_detection/models/ssd_mobilenet_v1_ppn_feature_extractor.py
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McCabe index: 1
number of parameters: 2

id: 9218
unit: def preprocess()
file: research/object_detection/models/faster_rcnn_pnas_feature_extractor.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9219
unit: def preprocess()
file: research/object_detection/models/ssd_inception_v2_feature_extractor.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9220
unit: def preprocess()
file: research/object_detection/models/faster_rcnn_inception_resnet_v2_feature_extractor.py
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McCabe index: 1
number of parameters: 2

id: 9221
unit: def load_feature_extractor_weights()
file: research/object_detection/models/center_net_resnet_feature_extractor.py
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McCabe index: 1
number of parameters: 2

id: 9222
unit: def call()
file: research/object_detection/models/center_net_resnet_feature_extractor.py
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McCabe index: 1
number of parameters: 2

id: 9223
unit: def num_feature_outputs()
file: research/object_detection/models/center_net_resnet_feature_extractor.py
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McCabe index: 1
number of parameters: 1

id: 9224
unit: def out_stride()
file: research/object_detection/models/center_net_resnet_feature_extractor.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9225
unit: def classification_backbone()
file: research/object_detection/models/center_net_resnet_feature_extractor.py
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McCabe index: 1
number of parameters: 1

id: 9226
unit: def preprocess()
file: research/object_detection/models/ssd_mobilenet_v3_feature_extractor.py
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McCabe index: 1
number of parameters: 2

id: 9227
unit: def preprocess()
file: research/object_detection/models/ssd_inception_v3_feature_extractor.py
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McCabe index: 1
number of parameters: 2

id: 9228
unit: def _get_input_sizes()
file: research/object_detection/models/ssd_mobilenet_edgetpu_feature_extractor_testbase.py
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McCabe index: 1
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id: 9229
unit: def preprocess()
file: research/object_detection/models/ssd_mobilenet_v1_fpn_keras_feature_extractor.py
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McCabe index: 1
number of parameters: 2

id: 9230
unit: def restore_from_classification_checkpoint_fn()
file: research/object_detection/models/ssd_mobilenet_v1_fpn_keras_feature_extractor.py
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McCabe index: 1
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id: 9231
unit: def _resnet_scope_name()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py
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McCabe index: 1
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id: 9232
unit: def _fpn_scope_name()
file: research/object_detection/models/ssd_resnet_v1_fpn_feature_extractor_testbase.py
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McCabe index: 1
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id: 9233
unit: def preprocess()
file: research/object_detection/models/faster_rcnn_inception_v2_feature_extractor.py
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McCabe index: 1
number of parameters: 2

id: 9234
unit: def preprocess()
file: research/object_detection/models/faster_rcnn_inception_resnet_v2_keras_feature_extractor.py
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McCabe index: 1
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id: 9235
unit: def preprocess()
file: research/object_detection/models/faster_rcnn_nas_feature_extractor.py
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McCabe index: 1
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id: 9236
unit: def preprocess()
file: research/object_detection/models/ssd_mobilenet_v2_keras_feature_extractor.py
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McCabe index: 1
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id: 9237
unit: def load_feature_extractor_weights()
file: research/object_detection/models/center_net_mobilenet_v2_fpn_feature_extractor.py
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McCabe index: 1
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id: 9238
unit: def classification_backbone()
file: research/object_detection/models/center_net_mobilenet_v2_fpn_feature_extractor.py
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McCabe index: 1
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id: 9239
unit: def call()
file: research/object_detection/models/center_net_mobilenet_v2_fpn_feature_extractor.py
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McCabe index: 1
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id: 9240
unit: def out_stride()
file: research/object_detection/models/center_net_mobilenet_v2_fpn_feature_extractor.py
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McCabe index: 1
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id: 9241
unit: def num_feature_outputs()
file: research/object_detection/models/center_net_mobilenet_v2_fpn_feature_extractor.py
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McCabe index: 1
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id: 9242
unit: def preprocess()
file: research/object_detection/models/ssd_mobilenet_v1_fpn_feature_extractor.py
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McCabe index: 1
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id: 9243
unit: def preprocess()
file: research/object_detection/models/ssd_mobilenet_v2_fpn_keras_feature_extractor.py
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McCabe index: 1
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id: 9244
unit: def preprocess()
file: research/object_detection/models/embedded_ssd_mobilenet_v1_feature_extractor.py
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McCabe index: 1
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id: 9245
unit: def preprocess()
file: research/object_detection/models/ssd_mobilenet_v2_mnasfpn_feature_extractor.py
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McCabe index: 1
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id: 9246
unit: def preprocess()
file: research/object_detection/models/ssd_mobilenet_v2_feature_extractor.py
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id: 9247
unit: def preprocess()
file: research/object_detection/models/ssd_spaghettinet_feature_extractor.py
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McCabe index: 1
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id: 9248
unit: def preprocess()
file: research/object_detection/models/faster_rcnn_mobilenet_v1_feature_extractor.py
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McCabe index: 1
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id: 9249
unit: def _get_output_filename()
file: research/slim/datasets/download_and_convert_cifar10.py
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McCabe index: 1
number of parameters: 2

id: 9250
unit: def GetInt()
file: research/slim/datasets/process_bounding_boxes.py
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McCabe index: 1
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id: 9251
unit: def bytes_list_feature()
file: research/slim/datasets/dataset_utils.py
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McCabe index: 1
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id: 9252
unit: def float_list_feature()
file: research/slim/datasets/dataset_utils.py
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McCabe index: 1
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id: 9253
unit: def bytes_feature()
file: research/slim/datasets/dataset_utils.py
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McCabe index: 1
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id: 9254
unit: def has_labels()
file: research/slim/datasets/dataset_utils.py
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McCabe index: 1
number of parameters: 2

id: 9255
unit: def _get_output_filename()
file: research/slim/datasets/download_and_convert_mnist.py
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McCabe index: 1
number of parameters: 2

id: 9256
unit: def _bytes_feature()
file: research/slim/datasets/build_imagenet_data.py
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McCabe index: 1
number of parameters: 1

id: 9257
unit: def _is_png()
file: research/slim/datasets/build_imagenet_data.py
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McCabe index: 1
number of parameters: 1

id: 9258
unit: def __enter__()
file: research/slim/nets/resnet_v1.py
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McCabe index: 1
number of parameters: 1

id: 9259
unit: def __exit__()
file: research/slim/nets/resnet_v1.py
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McCabe index: 1
number of parameters: 4

id: 9260
unit: def main()
file: research/slim/nets/mobilenet_v1_train.py
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McCabe index: 1
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id: 9261
unit: def main()
file: research/slim/nets/mobilenet_v1_eval.py
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McCabe index: 1
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id: 9262
unit: def expand_input_by_factor()
file: research/slim/nets/mobilenet/conv_blocks.py
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McCabe index: 1
number of parameters: 2

id: 9263
unit: def apply_activation()
file: research/slim/nets/mobilenet/mobilenet.py
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McCabe index: 2
number of parameters: 3

id: 9264
unit: def __enter__()
file: research/slim/nets/mobilenet/mobilenet.py
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McCabe index: 1
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id: 9265
unit: def __exit__()
file: research/slim/nets/mobilenet/mobilenet.py
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McCabe index: 1
number of parameters: 4

id: 9266
unit: def training_scope()
file: research/slim/nets/mobilenet/mobilenet_v2.py
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McCabe index: 1
number of parameters: 1

id: 9267
unit: def num_clones()
file: research/slim/deployment/model_deploy.py
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McCabe index: 1
number of parameters: 1

id: 9268
unit: def clone_on_cpu()
file: research/slim/deployment/model_deploy.py
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McCabe index: 1
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id: 9269
unit: def replica_id()
file: research/slim/deployment/model_deploy.py
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McCabe index: 1
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id: 9270
unit: def num_replicas()
file: research/slim/deployment/model_deploy.py
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McCabe index: 1
number of parameters: 1

id: 9271
unit: def num_ps_tasks()
file: research/slim/deployment/model_deploy.py
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McCabe index: 1
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id: 9272
unit: def ps_device()
file: research/slim/deployment/model_deploy.py
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McCabe index: 1
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id: 9273
unit: def worker_device()
file: research/slim/deployment/model_deploy.py
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McCabe index: 1
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id: 9274
unit: def convert_to_string()
file: research/deep_speech/decoder.py
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McCabe index: 2
number of parameters: 2

id: 9275
unit: def cer()
file: research/deep_speech/decoder.py
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McCabe index: 1
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id: 9276
unit: def main()
file: research/deep_speech/deep_speech.py
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McCabe index: 1
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id: 9277
unit: def get_cityscapes_dataset_name()
file: research/deeplab/deprecated/segmentation_dataset.py
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McCabe index: 1
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id: 9278
unit: def get_cityscapes_dataset_name()
file: research/deeplab/datasets/data_generator.py
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McCabe index: 1
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id: 9279
unit: def _remove_colormap()
file: research/deeplab/datasets/remove_gt_colormap.py
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McCabe index: 1
number of parameters: 1

id: 9280
unit: def result()
file: research/deeplab/evaluation/base_metric.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9281
unit: def detailed_results()
file: research/deeplab/evaluation/base_metric.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9282
unit: def result_per_category()
file: research/deeplab/evaluation/base_metric.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9283
unit: def print_detailed_results()
file: research/deeplab/evaluation/base_metric.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 9284
unit: def merge()
file: research/deeplab/evaluation/base_metric.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9285
unit: def reset()
file: research/deeplab/evaluation/base_metric.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9286
unit: def _realdiv_maybe_zero()
file: research/deeplab/evaluation/streaming_metrics.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9287
unit: def get_ade20k_name()
file: research/deeplab/utils/get_dataset_colormap.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9288
unit: def get_cityscapes_name()
file: research/deeplab/utils/get_dataset_colormap.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9289
unit: def get_mapillary_vistas_name()
file: research/deeplab/utils/get_dataset_colormap.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9290
unit: def get_pascal_name()
file: research/deeplab/utils/get_dataset_colormap.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 9291
unit: def bit_get()
file: research/deeplab/utils/get_dataset_colormap.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9292
unit: def get_dataset_colormap_max_entries()
file: research/deeplab/utils/get_dataset_colormap.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9293
unit: def wav_read()
file: research/audioset/vggish/vggish_input.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9294
unit: def __call__()
file: research/audioset/vggish/vggish_export_tfhub.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 9295
unit: def log()
file: research/audioset/yamnet/export.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9296
unit: def class_map_path()
file: research/audioset/yamnet/export.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9297
unit: def patch_frames()
file: research/audioset/yamnet/params.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9298
unit: def patch_bands()
file: research/audioset/yamnet/params.py
start line: 0
end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 9299
unit: def serve()
file: official/core/export_base.py
start line: 0
end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 9300
unit: def build_model()
file: official/core/base_task.py
start line: 0
end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 9301
unit: explicit IcpOp()
file: research/vid2depth/ops/icp_op_kernel.cc
start line: 96
end line: 96
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 9302
unit: virtual ~ProjectionParams()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 138
end line: 138
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9303
unit: int FeatureSize()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 139
end line: 139
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9304
unit: bool WordNoveltyEnabled()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 140
end line: 140
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9305
unit: bool DocSizeFeatureEnabled()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 149
end line: 149
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9306
unit: bool FirstCap()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 150
end line: 150
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9307
unit: bool AllCaps()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 151
end line: 151
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9308
unit: int BosToken()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 152
end line: 152
size: 1 LOC
McCabe index: 2
number of parameters: 0

id: 9309
unit: int EosToken()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 153
end line: 153
size: 1 LOC
McCabe index: 2
number of parameters: 0

id: 9310
unit: int GetNumTokens()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 206
end line: 206
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9311
unit: virtual std::string PreprocessToken()
file: research/seq_flow_lite/tflite_ops/sequence_string_projection.cc
start line: 210
end line: 210
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 9312
unit: virtual std::string TfLiteOpName()
file: research/seq_flow_lite/tflite_ops/tf_tflite_diff_test_util.h
start line: 137
end line: 137
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9313
unit: bool is_numeric()
file: research/seq_flow_lite/tf_ops/projection_tokenizer_util.cc
start line: 35
end line: 35
size: 1 LOC
McCabe index: 2
number of parameters: 1

id: 9314
unit: bool prepend_separator()
file: research/seq_flow_lite/tf_ops/projection_tokenizer_util.cc
start line: 38
end line: 38
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 9315
unit: inline uint64_t ShiftMix()
file: research/seq_flow_lite/tf_ops/projection_util.cc
start line: 55
end line: 55
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 9316
unit: void Compute()
file: research/seq_flow_lite/tf_ops/tf_custom_ops.cc
start line: 28
end line: 28
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 9317
unit: void Compute()
file: research/seq_flow_lite/tf_ops/tf_custom_ops.cc
start line: 53
end line: 53
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 9318
unit: void Compute()
file: research/seq_flow_lite/tf_ops/tf_custom_ops.cc
start line: 78
end line: 78
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 9319
unit: virtual ~HashEngine()
file: research/seq_flow_lite/tf_ops/projection_util.h
start line: 44
end line: 44
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9320
unit: size_t NumberOfValidUnicodes()
file: research/seq_flow_lite/tf_ops/projection_util.h
start line: 119
end line: 119
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9321
unit: bool IsUnrestrictedVocabulary()
file: research/seq_flow_lite/tf_ops/projection_util.h
start line: 123
end line: 123
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9322
unit: int MobileSSDClient::GetNumberOfLabels()
file: research/lstm_object_detection/tflite/mobile_ssd_client.cc
start line: 118
end line: 118
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9323
unit: int GetInputWidth()
file: research/lstm_object_detection/tflite/mobile_ssd_client.h
start line: 69
end line: 69
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9324
unit: int GetInputHeight()
file: research/lstm_object_detection/tflite/mobile_ssd_client.h
start line: 73
end line: 73
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9325
unit: int GetInputDepth()
file: research/lstm_object_detection/tflite/mobile_ssd_client.h
start line: 78
end line: 78
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9326
unit: constexpr int GetBoxIndex()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 33
end line: 33
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 9327
unit: constexpr int GetScoreIndex()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.cc
start line: 34
end line: 34
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 9328
unit: virtual const protos::BoxCoder GetBoxCoder()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.h
start line: 66
end line: 66
size: 1 LOC
McCabe index: 1
number of parameters: 0

id: 9329
unit: virtual bool IsAgnosticMode()
file: research/lstm_object_detection/tflite/mobile_ssd_tflite_client.h
start line: 93
end line: 93
size: 1 LOC
McCabe index: 1
number of parameters: 0