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unit: def trainable()
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unit: def trainable()
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unit: def trainable_weights()
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unit: def non_trainable_weights()
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unit: def losses()
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unit: def get_weights()
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unit: def set_weights()
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unit: def get_clusterable_weights()
file: tensorflow_model_optimization/python/core/clustering/keras/clusterable_layer.py
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unit: def get_clusterable_algorithm()
file: tensorflow_model_optimization/python/core/clustering/keras/clusterable_layer.py
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unit: def solve_for_x()
file: tensorflow_model_optimization/python/core/clustering/keras/clustering_centroids.py
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unit: def solve_for_y()
file: tensorflow_model_optimization/python/core/clustering/keras/clustering_centroids.py
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unit: def __init__()
file: tensorflow_model_optimization/python/core/clustering/keras/clustering_centroids.py
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unit: def init_is_supported()
file: tensorflow_model_optimization/python/core/clustering/keras/clustering_centroids.py
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unit: def cluster_scope()
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unit: def get_output_shape()
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unit: def get_output_shape()
file: tensorflow_model_optimization/python/core/quantization/keras/layers/conv_batchnorm_test_utils.py
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unit: def custom_objects()
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unit: def _get_layer_weights()
file: tensorflow_model_optimization/python/core/quantization/keras/graph_transformations/model_transformer.py
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unit: def _get_layer_names_and_weights()
file: tensorflow_model_optimization/python/core/quantization/keras/graph_transformations/model_transformer.py
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unit: def _get_layer_metadata()
file: tensorflow_model_optimization/python/core/quantization/keras/graph_transformations/model_transformer.py
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unit: def _weight_name()
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unit: def _set_layer_names_and_weights()
file: tensorflow_model_optimization/python/core/quantization/keras/graph_transformations/model_transformer.py
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unit: def _name()
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unit: def _get_matched_layers()
file: tensorflow_model_optimization/python/core/quantization/keras/graph_transformations/model_transformer.py
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unit: def _get_quantize_config()
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unit: def pattern()
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unit: def _get_name()
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unit: def pattern()
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unit: def pattern()
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unit: def _disable_output_quantize()
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unit: def _no_quantize()
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unit: def _is_supported_layer()
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unit: def _get_quantize_info()
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unit: def from_config()
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unit: def __ne__()
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unit: def set_quantize_weights()
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unit: def set_quantize_activations()
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unit: def get_weights_and_quantizers()
file: tensorflow_model_optimization/python/core/quantization/keras/experimental/default_n_bit/default_n_bit_quantize_configs.py
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unit: def get_activations_and_quantizers()
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unit: def set_quantize_weights()
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unit: def set_quantize_activations()
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unit: def get_weights_and_quantizers()
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unit: def get_activations_and_quantizers()
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unit: def set_quantize_weights()
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unit: def set_quantize_activations()
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unit: def get_output_quantizers()
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unit: def get_config()
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unit: def __call__()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_aware_activation.py
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unit: def get_config()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_aware_activation.py
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unit: def __ne__()
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unit: def _should_pre_quantize()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_aware_activation.py
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unit: def _should_post_quantize()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_aware_activation.py
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unit: def training()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_aware_activation.py
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unit: def training()
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file: tensorflow_model_optimization/python/core/quantization/keras/quantize_aware_activation.py
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unit: def from_config()
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unit: def _no_quantize()
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unit: def _is_supported_layer()
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unit: def _get_quantize_info()
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unit: def from_config()
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unit: def set_quantize_weights()
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unit: def set_quantize_activations()
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unit: def get_weights_and_quantizers()
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unit: def get_activations_and_quantizers()
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unit: def set_quantize_weights()
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unit: def set_quantize_activations()
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unit: def get_weights_and_quantizers()
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unit: def get_activations_and_quantizers()
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unit: def set_quantize_weights()
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unit: def set_quantize_activations()
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unit: def get_output_quantizers()
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unit: def _get_quantize_config()
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unit: def _disable_output_quantize()
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file: tensorflow_model_optimization/python/core/quantization/keras/quantize_scheme.py
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file: tensorflow_model_optimization/python/core/quantization/keras/quantize_scheme.py
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unit: def compute_output_shape()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_annotate.py
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file: tensorflow_model_optimization/python/core/quantization/keras/quantize_annotate.py
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file: tensorflow_model_optimization/python/core/quantization/keras/quantize_annotate.py
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file: tensorflow_model_optimization/python/core/quantization/keras/quantize_annotate.py
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file: tensorflow_model_optimization/python/core/quantization/keras/quantize_annotate.py
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file: tensorflow_model_optimization/python/core/quantization/keras/quantize_annotate.py
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unit: def get_weights()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_annotate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 811
unit: def set_weights()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_annotate.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 812
unit: def get_config()
file: tensorflow_model_optimization/python/core/quantization/keras/quantizers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 813
unit: def from_config()
file: tensorflow_model_optimization/python/core/quantization/keras/quantizers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 814
unit: def build()
file: tensorflow_model_optimization/python/core/quantization/keras/quantizers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 815
unit: def __ne__()
file: tensorflow_model_optimization/python/core/quantization/keras/quantizers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 816
unit: def build()
file: tensorflow_model_optimization/python/core/quantization/keras/quantizers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 817
unit: def __ne__()
file: tensorflow_model_optimization/python/core/quantization/keras/quantizers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 818
unit: def __ne__()
file: tensorflow_model_optimization/python/core/quantization/keras/quantizers.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 819
unit: def _no_trainable_weights()
file: tensorflow_model_optimization/python/core/quantization/keras/collaborative_optimizations/cluster_preserve/cluster_preserve_quantize_registry.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 820
unit: def _disable_cluster_preserve()
file: tensorflow_model_optimization/python/core/quantization/keras/collaborative_optimizations/cluster_preserve/cluster_preserve_quantize_registry.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 821
unit: def __init__()
file: tensorflow_model_optimization/python/core/quantization/keras/collaborative_optimizations/cluster_preserve/default_8bit_cluster_preserve_quantize_scheme.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 822
unit: def _no_trainable_weights()
file: tensorflow_model_optimization/python/core/quantization/keras/collaborative_optimizations/prune_preserve/prune_preserve_quantize_registry.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 823
unit: def _disable_prune_preserve()
file: tensorflow_model_optimization/python/core/quantization/keras/collaborative_optimizations/prune_preserve/prune_preserve_quantize_registry.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 824
unit: def get_sparsity_preservable_weights()
file: tensorflow_model_optimization/python/core/quantization/keras/collaborative_optimizations/prune_preserve/prune_preserve_quantize_registry.py
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size: 2 LOC
McCabe index: 2
number of parameters: 2

id: 825
unit: def __init__()
file: tensorflow_model_optimization/python/core/quantization/keras/collaborative_optimizations/prune_preserve/prune_preserve_quantize_registry.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 826
unit: def get_weights_and_quantizers()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 827
unit: def get_activations_and_quantizers()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 828
unit: def set_quantize_weights()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 829
unit: def set_quantize_activations()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 830
unit: def get_output_quantizers()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 831
unit: def get_config()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 832
unit: def __init__()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 833
unit: def get_weights_and_quantizers()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 834
unit: def set_quantize_weights()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 835
unit: def get_activations_and_quantizers()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 836
unit: def get_output_quantizers()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 837
unit: def get_config()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 838
unit: def from_config()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_config.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 839
unit: def _make_layer_name()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_wrapper.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 840
unit: def _weight_name()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_wrapper.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 841
unit: def compute_output_shape()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_wrapper.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 842
unit: def trainable()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_wrapper.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 843
unit: def trainable()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_wrapper.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 844
unit: def trainable_weights()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_wrapper.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 845
unit: def non_trainable_weights()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_wrapper.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 846
unit: def updates()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_wrapper.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 847
unit: def losses()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_wrapper.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 848
unit: def get_quantize_config()
file: tensorflow_model_optimization/python/core/quantization/keras/quantize_registry.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 849
unit: def is_v1_apis()
file: tensorflow_model_optimization/python/core/keras/compat.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 850
unit: def __init__()
file: tensorflow_model_optimization/python/core/keras/metrics.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 851
unit: def name()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 852
unit: def compressible_tensors_keys()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 853
unit: def commutes_with_sum()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 854
unit: def decode_needs_input_shape()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 855
unit: def get_params()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 856
unit: def encode()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 3

id: 857
unit: def name()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 858
unit: def compressible_tensors_keys()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 859
unit: def commutes_with_sum()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 860
unit: def decode_needs_input_shape()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 861
unit: def state_update_aggregation_modes()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 862
unit: def initial_state()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 1

id: 863
unit: def update_state()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 3

id: 864
unit: def get_params()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 2

id: 865
unit: def encode()
file: tensorflow_model_optimization/python/core/internal/tensor_encoding/core/encoding_stage.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 3

id: 866
unit: def build()
file: tensorflow_model_optimization/python/core/quantization/keras/quantizers.py
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end line: 0
size: 1 LOC
McCabe index: 1
number of parameters: 4

id: 867
unit: def __call__()
file: tensorflow_model_optimization/python/core/quantization/keras/quantizers.py
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size: 1 LOC
McCabe index: 1
number of parameters: 5