id: 1 unit: def main() file: tf-distribution-options/code/train_hvd.py start line: 0 end line: 0 size: 61 LOC McCabe index: 10 number of parameters: 1 id: 2 unit: def main() file: tf-batch-inference-script/code/train.py start line: 0 end line: 0 size: 61 LOC McCabe index: 9 number of parameters: 1 id: 3 unit: def main() file: tf-horovod-inference-pipeline/train.py start line: 0 end line: 0 size: 54 LOC McCabe index: 9 number of parameters: 1 id: 4 unit: def keras_model_fn() file: tf-horovod-inference-pipeline/train.py start line: 0 end line: 0 size: 47 LOC McCabe index: 5 number of parameters: 6 id: 5 unit: def get_model() file: tf-distribution-options/code/model_def.py start line: 0 end line: 0 size: 46 LOC McCabe index: 5 number of parameters: 7 id: 6 unit: def get_model() file: tf-batch-inference-script/code/model_def.py start line: 0 end line: 0 size: 46 LOC McCabe index: 5 number of parameters: 7 id: 7 unit: def main() file: tf-distribution-options/code/train_ps.py start line: 0 end line: 0 size: 34 LOC McCabe index: 5 number of parameters: 1 id: 8 unit: def train() file: tf-2-data-parallelism/src/train_resnet_sdp_debug.py start line: 0 end line: 0 size: 33 LOC McCabe index: 3 number of parameters: 1 id: 9 unit: def create_lambda_role() file: hugging-face-lambda-step/iam_helper.py start line: 0 end line: 0 size: 32 LOC McCabe index: 2 number of parameters: 1 id: 10 unit: def get_resnet50() file: tf-2-data-parallelism/src/model_def.py start line: 0 end line: 0 size: 25 LOC McCabe index: 3 number of parameters: 1 id: 11 unit: def get_model() file: tf-sentiment-script-mode/sentiment.py start line: 0 end line: 0 size: 21 LOC McCabe index: 1 number of parameters: 1 id: 12 unit: def process_input() file: tf-distribution-options/code/utilities.py start line: 0 end line: 0 size: 20 LOC McCabe index: 3 number of parameters: 5 id: 13 unit: def process_input() file: tf-batch-inference-script/code/utilities.py start line: 0 end line: 0 size: 20 LOC McCabe index: 3 number of parameters: 5 id: 14 unit: def _input() file: tf-horovod-inference-pipeline/train.py start line: 0 end line: 0 size: 20 LOC McCabe index: 3 number of parameters: 4 id: 15 unit: def main() file: tf-distribution-options/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 19 LOC McCabe index: 6 number of parameters: 1 id: 16 unit: def main() file: tf-batch-inference-script/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 19 LOC McCabe index: 6 number of parameters: 1 id: 17 unit: def main() file: tf-horovod-inference-pipeline/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 19 LOC McCabe index: 6 number of parameters: 1 id: 18 unit: def get_model() file: tf-2-word-embeddings/code/model_def.py start line: 0 end line: 0 size: 18 LOC McCabe index: 1 number of parameters: 6 id: 19 unit: def convert_to_tfrecord() file: tf-distribution-options/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 2 id: 20 unit: def convert_to_tfrecord() file: tf-batch-inference-script/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 2 id: 21 unit: def convert_to_tfrecord() file: tf-horovod-inference-pipeline/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 15 LOC McCabe index: 3 number of parameters: 2 id: 22 unit: def parse_args() file: tf-2-word-embeddings/code/train.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 0 id: 23 unit: def _dataset_parser() file: tf-distribution-options/code/utilities.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 1 id: 24 unit: def _dataset_parser() file: tf-batch-inference-script/code/utilities.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 1 id: 25 unit: def _dataset_parser() file: tf-horovod-inference-pipeline/train.py start line: 0 end line: 0 size: 14 LOC McCabe index: 1 number of parameters: 1 id: 26 unit: def save_history() file: tf-sentiment-script-mode/sentiment.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 2 id: 27 unit: def save_history() file: tf-distribution-options/code/train_ps.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 2 id: 28 unit: def save_history() file: tf-distribution-options/code/train_hvd.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 2 id: 29 unit: def save_history() file: tf-batch-inference-script/code/train.py start line: 0 end line: 0 size: 10 LOC McCabe index: 1 number of parameters: 2 id: 30 unit: def parse_args() file: tf-sentiment-script-mode/sentiment.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 31 unit: def parse_args() file: tf-2-data-parallelism/src/train_resnet_simple.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 32 unit: def parse_args() file: tf-eager-script-mode/train_model/train.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 33 unit: def parse_args() file: tf-2-workflow-smpipelines/train_model/train.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 34 unit: def num_examples_per_epoch() file: tf-distribution-options/code/train_ps.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 1 id: 35 unit: def num_examples_per_epoch() file: tf-distribution-options/code/train_hvd.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 1 id: 36 unit: def num_examples_per_epoch() file: tf-batch-inference-script/code/train.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 1 id: 37 unit: def parse_args() file: tf-2-workflow/train_model/train.py start line: 0 end line: 0 size: 9 LOC McCabe index: 1 number of parameters: 0 id: 38 unit: def num_examples_per_epoch() file: tf-horovod-inference-pipeline/train.py start line: 0 end line: 0 size: 9 LOC McCabe index: 4 number of parameters: 1 id: 39 unit: def parse_args() file: tf-2-data-parallelism/src/train_resnet_sdp_debug.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 0 id: 40 unit: def input_handler() file: tf-distribution-options/code/inference.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 2 id: 41 unit: def input_handler() file: tf-batch-inference-script/code/inference.py start line: 0 end line: 0 size: 8 LOC McCabe index: 3 number of parameters: 2 id: 42 unit: def model_fn() file: deploy-pretrained-model/GPT2/code/inference_code.py start line: 0 end line: 0 size: 8 LOC McCabe index: 1 number of parameters: 1 id: 43 unit: def invocations() file: tf-horovod-inference-pipeline/image-transformer-container/app/main.py start line: 0 end line: 0 size: 8 LOC McCabe index: 2 number of parameters: 0 id: 44 unit: def get_train_data() file: tf-2-data-parallelism/src/train_resnet_sdp_debug.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 45 unit: def get_train_data() file: tf-2-data-parallelism/src/utils.py start line: 0 end line: 0 size: 7 LOC McCabe index: 1 number of parameters: 2 id: 46 unit: def read_pickle_from_file() file: tf-distribution-options/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 1 id: 47 unit: def read_pickle_from_file() file: tf-batch-inference-script/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 1 id: 48 unit: def read_pickle_from_file() file: tf-horovod-inference-pipeline/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 7 LOC McCabe index: 2 number of parameters: 1 id: 49 unit: def get_val_data() file: tf-2-data-parallelism/src/utils.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 50 unit: def compute_metrics() file: hugging-face-lambda-step/scripts/train.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 51 unit: def get_model() file: tf-eager-script-mode/train_model/model_def.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 52 unit: def get_model() file: tf-2-workflow-smpipelines/train_model/model_def.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 53 unit: def output_handler() file: tf-distribution-options/code/inference.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 54 unit: def _get_file_names() file: tf-distribution-options/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 0 id: 55 unit: def output_handler() file: tf-batch-inference-script/code/inference.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 56 unit: def _get_file_names() file: tf-batch-inference-script/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 0 id: 57 unit: def get_model() file: tf-2-workflow/train_model/model_def.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 0 id: 58 unit: def input_fn() file: deploy-pretrained-model/GPT2/code/inference_code.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 59 unit: def model_fn() file: deploy-pretrained-model/BERT/code/inference_code.py start line: 0 end line: 0 size: 6 LOC McCabe index: 1 number of parameters: 1 id: 60 unit: def input_fn() file: deploy-pretrained-model/BERT/code/inference_code.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 61 unit: def output_fn() file: deploy-pretrained-model/BERT/code/inference_code.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 2 id: 62 unit: def _get_file_names() file: tf-horovod-inference-pipeline/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 6 LOC McCabe index: 2 number of parameters: 0 id: 63 unit: def get_train_data() file: tf-sentiment-script-mode/sentiment.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 64 unit: def get_test_data() file: tf-sentiment-script-mode/sentiment.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 65 unit: def get_train_data() file: tf-2-data-parallelism/src/train_resnet_simple.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 66 unit: def get_test_data() file: tf-2-data-parallelism/src/train_resnet_simple.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 67 unit: def get_train_data() file: tf-2-word-embeddings/code/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 68 unit: def get_val_data() file: tf-2-word-embeddings/code/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 69 unit: def get_train_data() file: tf-eager-script-mode/train_model/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 70 unit: def get_test_data() file: tf-eager-script-mode/train_model/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 71 unit: def get_train_data() file: tf-2-workflow-smpipelines/train_model/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 72 unit: def get_test_data() file: tf-2-workflow-smpipelines/train_model/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 73 unit: def _get_filenames() file: tf-distribution-options/code/utilities.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 74 unit: def _train_preprocess_fn() file: tf-distribution-options/code/utilities.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 75 unit: def download_and_extract() file: tf-distribution-options/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 76 unit: def _get_filenames() file: tf-batch-inference-script/code/utilities.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 77 unit: def _train_preprocess_fn() file: tf-batch-inference-script/code/utilities.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 78 unit: def download_and_extract() file: tf-batch-inference-script/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 79 unit: def get_train_data() file: tf-2-workflow/train_model/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 80 unit: def get_test_data() file: tf-2-workflow/train_model/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 81 unit: def predict_fn() file: deploy-pretrained-model/BERT/code/inference_code.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 2 id: 82 unit: def get_filenames() file: tf-horovod-inference-pipeline/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 2 id: 83 unit: def _train_preprocess_fn() file: tf-horovod-inference-pipeline/train.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 84 unit: def download_and_extract() file: tf-horovod-inference-pipeline/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 5 LOC McCabe index: 2 number of parameters: 1 id: 85 unit: def read_image() file: tf-horovod-inference-pipeline/image-transformer-container/app/main.py start line: 0 end line: 0 size: 5 LOC McCabe index: 1 number of parameters: 1 id: 86 unit: def get_embeddings() file: tf-2-word-embeddings/code/model_def.py start line: 0 end line: 0 size: 4 LOC McCabe index: 1 number of parameters: 1 id: 87 unit: def save_model() file: tf-distribution-options/code/train_ps.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 88 unit: def save_model() file: tf-distribution-options/code/train_hvd.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 89 unit: def save_model() file: tf-batch-inference-script/code/train.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 90 unit: def save_model() file: tf-horovod-inference-pipeline/train.py start line: 0 end line: 0 size: 4 LOC McCabe index: 2 number of parameters: 2 id: 91 unit: def install() file: hugging-face-lambda-step/scripts/preprocessing.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 92 unit: def tokenize() file: hugging-face-lambda-step/scripts/preprocessing.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 93 unit: def install() file: hugging-face-lambda-step/scripts/evaluate.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 94 unit: def on_batch_end() file: tf-distribution-options/code/train_ps.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 95 unit: def _return_error() file: tf-distribution-options/code/inference.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 96 unit: def on_batch_end() file: tf-distribution-options/code/train_hvd.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 97 unit: def _int64_feature() file: tf-distribution-options/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 98 unit: def _bytes_feature() file: tf-distribution-options/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 99 unit: def on_batch_end() file: tf-batch-inference-script/code/train.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 100 unit: def _return_error() file: tf-batch-inference-script/code/inference.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 101 unit: def _int64_feature() file: tf-batch-inference-script/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 102 unit: def _bytes_feature() file: tf-batch-inference-script/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 103 unit: def predict_fn() file: deploy-pretrained-model/GPT2/code/inference_code.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 104 unit: def output_fn() file: deploy-pretrained-model/GPT2/code/inference_code.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 2 id: 105 unit: def on_batch_end() file: tf-horovod-inference-pipeline/train.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 3 id: 106 unit: def train_input_fn() file: tf-horovod-inference-pipeline/train.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 107 unit: def eval_input_fn() file: tf-horovod-inference-pipeline/train.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 108 unit: def validation_input_fn() file: tf-horovod-inference-pipeline/train.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0 id: 109 unit: def _int64_feature() file: tf-horovod-inference-pipeline/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 110 unit: def _bytes_feature() file: tf-horovod-inference-pipeline/generate_cifar10_tfrecords.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 1 id: 111 unit: def ping() file: tf-horovod-inference-pipeline/image-transformer-container/app/main.py start line: 0 end line: 0 size: 2 LOC McCabe index: 1 number of parameters: 0