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id: 725
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id: 726
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file: keras/backend/tensorflow_backend.py
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id: 734
unit: def ctc_batch_cost()
file: keras/backend/tensorflow_backend.py
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id: 735
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file: keras/backend/theano_backend.py
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id: 739
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file: benchmark/scripts/models/timehistory.py
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file: keras/datasets/imdb.py
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id: 842
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id: 843
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id: 846
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id: 847
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id: 848
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id: 849
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id: 853
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id: 854
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id: 856
unit: def pow()
file: keras/backend/mxnet_backend.py
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id: 857
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id: 858
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id: 859
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id: 860
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id: 861
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id: 862
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id: 864
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file: keras/backend/mxnet_backend.py
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id: 865
unit: def _postprocess_convnd_output()
file: keras/backend/mxnet_backend.py
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id: 866
unit: def _preprocess_convnd_transpose_output()
file: keras/backend/mxnet_backend.py
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id: 867
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file: keras/backend/mxnet_backend.py
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id: 868
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file: keras/backend/mxnet_backend.py
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id: 869
unit: def set_learning_phase()
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id: 870
unit: def _is_current_explicit_device()
file: keras/backend/tensorflow_backend.py
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id: 871
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file: keras/backend/tensorflow_backend.py
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id: 872
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file: keras/backend/tensorflow_backend.py
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id: 873
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id: 874
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id: 875
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file: keras/backend/theano_backend.py
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id: 877
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file: keras/backend/theano_backend.py
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id: 878
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id: 879
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id: 880
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id: 883
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file: keras/initializers.py
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id: 891
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id: 907
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id: 908
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id: 912
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id: 914
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id: 916
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file: keras/layers/wrappers.py
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file: keras/layers/wrappers.py
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id: 943
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file: keras/layers/wrappers.py
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id: 945
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file: keras/layers/pooling.py
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id: 949
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file: keras/layers/pooling.py
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id: 951
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id: 952
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file: keras/layers/pooling.py
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file: keras/layers/pooling.py
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file: keras/layers/recurrent.py
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id: 961
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id: 965
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id: 966
unit: def ones()
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id: 967
unit: def argmax()
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id: 968
unit: def argmin()
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id: 969
unit: def l2_normalize()
file: keras/backend/cntk_backend.py
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id: 970
unit: def dropout()
file: keras/backend/cntk_backend.py
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id: 971
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id: 972
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id: 973
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file: keras/backend/cntk_backend.py
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id: 974
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id: 976
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id: 977
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file: keras/backend/mxnet_backend.py
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file: keras/backend/mxnet_backend.py
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id: 979
unit: def ndim()
file: keras/backend/mxnet_backend.py
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id: 980
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file: keras/backend/mxnet_backend.py
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id: 981
unit: def in_top_k()
file: keras/backend/mxnet_backend.py
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id: 982
unit: def pool2d()
file: keras/backend/mxnet_backend.py
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id: 983
unit: def name()
file: keras/backend/mxnet_backend.py
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id: 984
unit: def _validate_data_format()
file: keras/backend/mxnet_backend.py
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id: 985
unit: def _preprocess_dw_convnd_kernel()
file: keras/backend/mxnet_backend.py
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id: 986
unit: def _calculate_padding_requirement()
file: keras/backend/mxnet_backend.py
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id: 987
unit: def _calculate_pool_padding_requirement()
file: keras/backend/mxnet_backend.py
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id: 988
unit: def _get_current_tf_device()
file: keras/backend/tensorflow_backend.py
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id: 989
unit: def _get_available_gpus()
file: keras/backend/tensorflow_backend.py
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id: 990
unit: def to_dense()
file: keras/backend/tensorflow_backend.py
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id: 991
unit: def is_placeholder()
file: keras/backend/tensorflow_backend.py
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file: keras/backend/tensorflow_backend.py
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id: 993
unit: def eye()
file: keras/backend/tensorflow_backend.py
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id: 994
unit: def sqrt()
file: keras/backend/tensorflow_backend.py
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id: 995
unit: def repeat()
file: keras/backend/tensorflow_backend.py
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id: 996
unit: def batch_get_value()
file: keras/backend/tensorflow_backend.py
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id: 997
unit: def stop_gradient()
file: keras/backend/tensorflow_backend.py
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id: 998
unit: def dropout()
file: keras/backend/tensorflow_backend.py
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id: 999
unit: def set_floatx()
file: keras/backend/common.py
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id: 1000
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file: keras/backend/common.py
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id: 1001
unit: def image_dim_ordering()
file: keras/backend/common.py
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id: 1002
unit: def to_dense()
file: keras/backend/theano_backend.py
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unit: def name_scope()
file: keras/backend/theano_backend.py
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file: keras/backend/theano_backend.py
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id: 1005
unit: def int_shape()
file: keras/backend/theano_backend.py
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id: 1006
unit: def transpose()
file: keras/backend/theano_backend.py
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id: 1007
unit: def gather()
file: keras/backend/theano_backend.py
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id: 1008
unit: def mean()
file: keras/backend/theano_backend.py
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id: 1009
unit: def reverse()
file: keras/backend/theano_backend.py
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id: 1010
unit: def get_value()
file: keras/backend/theano_backend.py
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id: 1011
unit: def stop_gradient()
file: keras/backend/theano_backend.py
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id: 1012
unit: def binary_crossentropy()
file: keras/backend/theano_backend.py
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id: 1013
unit: def _preprocess_conv2d_depthwise_kernel()
file: keras/backend/theano_backend.py
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id: 1014
unit: def ctc_cost()
file: keras/backend/theano_backend.py
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id: 1015
unit: def __init__()
file: benchmark/scripts/logging_metrics.py
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id: 1016
unit: def get_metrics_index()
file: benchmark/scripts/logging_metrics.py
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id: 1017
unit: def get_resnet_model()
file: benchmark/scripts/models/resnet.py
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id: 1018
unit: def __call__()
file: keras/constraints.py
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id: 1019
unit: def from_config()
file: keras/initializers.py
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file: keras/initializers.py
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id: 1021
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file: keras/initializers.py
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id: 1022
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file: keras/initializers.py
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id: 1023
unit: def get_config()
file: keras/initializers.py
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id: 1024
unit: def categorical_accuracy()
file: keras/metrics.py
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id: 1025
unit: def sparse_categorical_accuracy()
file: keras/metrics.py
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id: 1026
unit: def multi_hot_sparse_categorical_accuracy()
file: keras/metrics.py
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id: 1027
unit: def __init__()
file: keras/optimizers.py
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id: 1028
unit: def _get_executor_init()
file: keras/utils/data_utils.py
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id: 1029
unit: def _get_executor_init()
file: keras/utils/data_utils.py
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id: 1030
unit: def update()
file: keras/utils/io_utils.py
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id: 1031
unit: def get()
file: keras/utils/io_utils.py
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id: 1032
unit: def unpack_singleton()
file: keras/utils/generic_utils.py
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id: 1033
unit: def normalize()
file: keras/utils/np_utils.py
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id: 1034
unit: def layers()
file: keras/engine/sequential.py
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id: 1035
unit: def standardize_class_weights()
file: keras/engine/training_utils.py
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id: 1036
unit: def standardize_sample_weights()
file: keras/engine/training_utils.py
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id: 1037
unit: def make_batches()
file: keras/engine/training_utils.py
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McCabe index: 2
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id: 1038
unit: def iter_sequence_infinite()
file: keras/engine/training_utils.py
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id: 1039
unit: def uses_learning_phase()
file: keras/engine/network.py
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id: 1040
unit: def reset_states()
file: keras/engine/network.py
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id: 1041
unit: def updates()
file: keras/engine/base_layer.py
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id: 1042
unit: def get_input_shape_at()
file: keras/engine/base_layer.py
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id: 1043
unit: def get_output_shape_at()
file: keras/engine/base_layer.py
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id: 1044
unit: def get_input_at()
file: keras/engine/base_layer.py
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id: 1045
unit: def get_output_at()
file: keras/engine/base_layer.py
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id: 1046
unit: def get_input_mask_at()
file: keras/engine/base_layer.py
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id: 1047
unit: def get_output_mask_at()
file: keras/engine/base_layer.py
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McCabe index: 1
number of parameters: 2

id: 1048
unit: def model_from_yaml()
file: keras/engine/saving.py
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McCabe index: 1
number of parameters: 2

id: 1049
unit: def model_from_json()
file: keras/engine/saving.py
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McCabe index: 1
number of parameters: 2

id: 1050
unit: def selu()
file: keras/activations.py
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McCabe index: 1
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id: 1051
unit: def mean_squared_logarithmic_error()
file: keras/losses.py
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McCabe index: 1
number of parameters: 2

id: 1052
unit: def categorical_hinge()
file: keras/losses.py
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id: 1053
unit: def logcosh()
file: keras/losses.py
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id: 1054
unit: def kullback_leibler_divergence()
file: keras/losses.py
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McCabe index: 1
number of parameters: 2

id: 1055
unit: def cosine_proximity()
file: keras/losses.py
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McCabe index: 1
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id: 1056
unit: def __init__()
file: keras/callbacks.py
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id: 1057
unit: def on_epoch_end()
file: keras/callbacks.py
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id: 1058
unit: def on_train_begin()
file: keras/callbacks.py
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id: 1059
unit: def on_train_end()
file: keras/callbacks.py
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id: 1060
unit: def __init__()
file: keras/callbacks.py
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id: 1061
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file: keras/wrappers/scikit_learn.py
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id: 1062
unit: def get_params()
file: keras/wrappers/scikit_learn.py
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id: 1063
unit: def set_params()
file: keras/wrappers/scikit_learn.py
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id: 1064
unit: def trainable_weights()
file: keras/layers/cudnn_recurrent.py
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McCabe index: 3
number of parameters: 1

id: 1065
unit: def non_trainable_weights()
file: keras/layers/cudnn_recurrent.py
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id: 1066
unit: def cell()
file: keras/layers/cudnn_recurrent.py
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id: 1067
unit: def cell()
file: keras/layers/cudnn_recurrent.py
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id: 1068
unit: def __init__()
file: keras/layers/advanced_activations.py
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id: 1069
unit: def get_config()
file: keras/layers/advanced_activations.py
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unit: def __init__()
file: keras/layers/advanced_activations.py
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file: keras/legacy/layers.py
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id: 1205
unit: def set_params()
file: keras/callbacks.py
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id: 1206
unit: def set_model()
file: keras/callbacks.py
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id: 1207
unit: def __init__()
file: keras/callbacks.py
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id: 1208
unit: def on_epoch_begin()
file: keras/callbacks.py
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id: 1209
unit: def on_train_begin()
file: keras/callbacks.py
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id: 1210
unit: def on_batch_begin()
file: keras/callbacks.py
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id: 1211
unit: def on_train_begin()
file: keras/callbacks.py
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McCabe index: 1
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id: 1212
unit: def on_train_end()
file: keras/callbacks.py
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id: 1213
unit: def on_epoch_end()
file: keras/callbacks.py
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id: 1214
unit: def on_train_end()
file: keras/callbacks.py
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McCabe index: 1
number of parameters: 2

id: 1215
unit: def predict()
file: keras/wrappers/scikit_learn.py
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id: 1216
unit: def serialize()
file: keras/layers/__init__.py
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id: 1217
unit: def __init__()
file: keras/layers/merge.py
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id: 1218
unit: def call()
file: keras/layers/convolutional.py
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id: 1219
unit: def call()
file: keras/layers/convolutional.py
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id: 1220
unit: def __init__()
file: keras/layers/convolutional.py
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id: 1221
unit: def compute_mask()
file: keras/layers/core.py
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id: 1222
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file: keras/layers/core.py
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id: 1223
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id: 1224
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file: keras/layers/wrappers.py
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id: 1225
unit: def reset_states()
file: keras/layers/wrappers.py
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McCabe index: 1
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id: 1226
unit: def _pooling_function()
file: keras/layers/pooling.py
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McCabe index: 1
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id: 1227
unit: def _pooling_function()
file: keras/layers/pooling.py
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id: 1228
unit: def _pooling_function()
file: keras/layers/pooling.py
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id: 1229
unit: def call()
file: keras/layers/pooling.py
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id: 1230
unit: def get_uid()
file: keras/backend/cntk_backend.py
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id: 1231
unit: def ndim()
file: keras/backend/cntk_backend.py
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McCabe index: 1
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id: 1232
unit: def update_add()
file: keras/backend/cntk_backend.py
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number of parameters: 2

id: 1233
unit: def _preprocess_conv2d_kernel()
file: keras/backend/cntk_backend.py
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McCabe index: 1
number of parameters: 2

id: 1234
unit: def _preprocess_conv3d_kernel()
file: keras/backend/cntk_backend.py
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McCabe index: 1
number of parameters: 2

id: 1235
unit: def __init__()
file: keras/backend/cntk_backend.py
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id: 1236
unit: def __enter__()
file: keras/backend/mxnet_backend.py
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id: 1237
unit: def set_model()
file: keras/backend/mxnet_backend.py
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id: 1238
unit: def count_params()
file: keras/backend/mxnet_backend.py
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McCabe index: 4
number of parameters: 1

id: 1239
unit: def transpose()
file: keras/backend/mxnet_backend.py
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McCabe index: 1
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id: 1240
unit: def gather()
file: keras/backend/mxnet_backend.py
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McCabe index: 1
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id: 1241
unit: def max()
file: keras/backend/mxnet_backend.py
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McCabe index: 1
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id: 1242
unit: def min()
file: keras/backend/mxnet_backend.py
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McCabe index: 1
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id: 1243
unit: def sum()
file: keras/backend/mxnet_backend.py
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McCabe index: 1
number of parameters: 3

id: 1244
unit: def prod()
file: keras/backend/mxnet_backend.py
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McCabe index: 1
number of parameters: 3

id: 1245
unit: def reshape()
file: keras/backend/mxnet_backend.py
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McCabe index: 3
number of parameters: 2

id: 1246
unit: def arange()
file: keras/backend/mxnet_backend.py
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McCabe index: 1
number of parameters: 4

id: 1247
unit: def stack()
file: keras/backend/mxnet_backend.py
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McCabe index: 2
number of parameters: 2

id: 1248
unit: def batch_set_value()
file: keras/backend/mxnet_backend.py
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McCabe index: 2
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id: 1249
unit: def make_loss()
file: keras/backend/mxnet_backend.py
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McCabe index: 1
number of parameters: 1

id: 1250
unit: def separable_conv1d()
file: keras/backend/mxnet_backend.py
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McCabe index: 1
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id: 1251
unit: def get_uid()
file: keras/backend/mxnet_backend.py
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McCabe index: 1
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id: 1252
unit: def reset_uids()
file: keras/backend/mxnet_backend.py
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id: 1253
unit: def __enter__()
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id: 1254
unit: def __exit__()
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id: 1255
unit: def reset_uids()
file: keras/backend/tensorflow_backend.py
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McCabe index: 1
number of parameters: 0

id: 1256
unit: def manual_variable_initialization()
file: keras/backend/tensorflow_backend.py
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McCabe index: 1
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id: 1257
unit: def set_session()
file: keras/backend/tensorflow_backend.py
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McCabe index: 1
number of parameters: 1

id: 1258
unit: def moving_average_update()
file: keras/backend/tensorflow_backend.py
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McCabe index: 1
number of parameters: 3

id: 1259
unit: def any()
file: keras/backend/tensorflow_backend.py
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McCabe index: 1
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id: 1260
unit: def all()
file: keras/backend/tensorflow_backend.py
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McCabe index: 1
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id: 1261
unit: def batch_flatten()
file: keras/backend/tensorflow_backend.py
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McCabe index: 1
number of parameters: 1

id: 1262
unit: def set_epsilon()
file: keras/backend/common.py
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McCabe index: 1
number of parameters: 1

id: 1263
unit: def get_uid()
file: keras/backend/theano_backend.py
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McCabe index: 1
number of parameters: 1

id: 1264
unit: def reset_uids()
file: keras/backend/theano_backend.py
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McCabe index: 1
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id: 1265
unit: def is_tensor()
file: keras/backend/theano_backend.py
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McCabe index: 1
number of parameters: 1

id: 1266
unit: def random_uniform_variable()
file: keras/backend/theano_backend.py
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McCabe index: 1
number of parameters: 5

id: 1267
unit: def random_normal_variable()
file: keras/backend/theano_backend.py
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McCabe index: 1
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id: 1268
unit: def count_params()
file: keras/backend/theano_backend.py
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McCabe index: 1
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id: 1269
unit: def sqrt()
file: keras/backend/theano_backend.py
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McCabe index: 1
number of parameters: 1

id: 1270
unit: def batch_set_value()
file: keras/backend/theano_backend.py
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McCabe index: 2
number of parameters: 1

id: 1271
unit: def print_tensor()
file: keras/backend/theano_backend.py
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McCabe index: 1
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id: 1272
unit: def __call__()
file: keras/backend/theano_backend.py
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McCabe index: 1
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id: 1273
unit: def elu()
file: keras/backend/theano_backend.py
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McCabe index: 1
number of parameters: 2

id: 1274
unit: def _preprocess_conv2d_kernel()
file: keras/backend/theano_backend.py
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McCabe index: 1
number of parameters: 2

id: 1275
unit: def _preprocess_conv3d_kernel()
file: keras/backend/theano_backend.py
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McCabe index: 1
number of parameters: 2

id: 1276
unit: def decode_predictions()
file: keras/applications/imagenet_utils.py
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McCabe index: 1
number of parameters: 2

id: 1277
unit: def _validate_backend()
file: benchmark/sparse/linear_regression/keras_sparse_model.py
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McCabe index: 3
number of parameters: 0

id: 1278
unit: def __init__()
file: benchmark/scripts/models/timehistory.py
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id: 1279
unit: def device_and_data_format()
file: benchmark/scripts/models/resnet50_benchmark_tf_keras.py
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McCabe index: 2
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id: 1280
unit: def __call__()
file: keras/constraints.py
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id: 1281
unit: def get_config()
file: keras/constraints.py
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id: 1282
unit: def __init__()
file: keras/constraints.py
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id: 1283
unit: def get_config()
file: keras/constraints.py
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id: 1284
unit: def serialize()
file: keras/constraints.py
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id: 1285
unit: def __call__()
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unit: def get_config()
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unit: def __call__()
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id: 1288
unit: def __call__()
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id: 1289
unit: def __init__()
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id: 1290
unit: def __call__()
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id: 1291
unit: def get_config()
file: keras/initializers.py
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id: 1292
unit: def __init__()
file: keras/initializers.py
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id: 1293
unit: def serialize()
file: keras/initializers.py
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id: 1294
unit: def binary_accuracy()
file: keras/metrics.py
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id: 1295
unit: def top_k_categorical_accuracy()
file: keras/metrics.py
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id: 1296
unit: def serialize()
file: keras/metrics.py
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id: 1297
unit: def __call__()
file: keras/regularizers.py
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id: 1298
unit: def from_config()
file: keras/regularizers.py
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id: 1299
unit: def l1()
file: keras/regularizers.py
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id: 1300
unit: def l2()
file: keras/regularizers.py
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id: 1301
unit: def l1_l2()
file: keras/regularizers.py
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id: 1302
unit: def serialize()
file: keras/regularizers.py
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id: 1303
unit: def get_updates()
file: keras/optimizers.py
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id: 1304
unit: def get_weights()
file: keras/optimizers.py
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id: 1305
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id: 1306
unit: def weights()
file: keras/optimizers.py
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id: 1309
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file: keras/optimizers.py
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id: 1310
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file: keras/utils/data_utils.py
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id: 1311
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file: keras/utils/data_utils.py
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id: 1312
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file: keras/utils/data_utils.py
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id: 1313
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file: keras/utils/data_utils.py
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id: 1314
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file: keras/utils/data_utils.py
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id: 1315
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file: keras/utils/data_utils.py
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id: 1316
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id: 1317
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file: keras/utils/data_utils.py
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id: 1318
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file: keras/utils/data_utils.py
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id: 1319
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file: keras/utils/data_utils.py
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id: 1321
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file: keras/utils/io_utils.py
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id: 1322
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id: 1328
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id: 1329
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file: keras/utils/generic_utils.py
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file: keras/utils/generic_utils.py
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id: 1331
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file: keras/utils/layer_utils.py
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id: 1332
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file: keras/utils/multi_gpu_utils.py
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id: 1333
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file: keras/engine/network.py
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id: 1335
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id: 1336
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id: 1337
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id: 1338
unit: def losses()
file: keras/engine/base_layer.py
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file: keras/legacy/layers.py
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file: keras/legacy/layers.py
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file: keras/activations.py
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file: keras/activations.py
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id: 1361
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file: keras/losses.py
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file: keras/losses.py
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file: keras/losses.py
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id: 1364
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file: keras/losses.py
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file: keras/losses.py
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file: keras/losses.py
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id: 1367
unit: def binary_crossentropy()
file: keras/losses.py
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id: 1368
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file: keras/losses.py
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file: keras/losses.py
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file: keras/callbacks.py
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id: 1384
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id: 1396
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file: keras/layers/convolutional_recurrent.py
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file: keras/layers/convolutional_recurrent.py
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id: 1398
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file: keras/layers/convolutional_recurrent.py
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file: keras/layers/convolutional_recurrent.py
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file: keras/layers/convolutional_recurrent.py
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id: 1401
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file: keras/layers/convolutional_recurrent.py
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file: keras/layers/convolutional_recurrent.py
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file: keras/layers/convolutional_recurrent.py
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file: keras/layers/convolutional_recurrent.py
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file: keras/layers/convolutional_recurrent.py
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id: 1406
unit: def recurrent_initializer()
file: keras/layers/convolutional_recurrent.py
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id: 1407
unit: def bias_initializer()
file: keras/layers/convolutional_recurrent.py
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id: 1408
unit: def unit_forget_bias()
file: keras/layers/convolutional_recurrent.py
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id: 1409
unit: def kernel_regularizer()
file: keras/layers/convolutional_recurrent.py
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id: 1410
unit: def recurrent_regularizer()
file: keras/layers/convolutional_recurrent.py
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id: 1411
unit: def bias_regularizer()
file: keras/layers/convolutional_recurrent.py
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id: 1412
unit: def kernel_constraint()
file: keras/layers/convolutional_recurrent.py
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id: 1413
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file: keras/layers/convolutional_recurrent.py
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file: keras/layers/convolutional_recurrent.py
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id: 1415
unit: def dropout()
file: keras/layers/convolutional_recurrent.py
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id: 1416
unit: def recurrent_dropout()
file: keras/layers/convolutional_recurrent.py
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id: 1417
unit: def from_config()
file: keras/layers/convolutional_recurrent.py
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id: 1418
unit: def compute_output_shape()
file: keras/layers/noise.py
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id: 1419
unit: def compute_output_shape()
file: keras/layers/noise.py
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id: 1420
unit: def _get_noise_shape()
file: keras/layers/noise.py
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id: 1421
unit: def compute_output_shape()
file: keras/layers/noise.py
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id: 1422
unit: def _merge_function()
file: keras/layers/merge.py
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id: 1423
unit: def _merge_function()
file: keras/layers/merge.py
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id: 1424
unit: def compute_mask()
file: keras/layers/merge.py
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id: 1425
unit: def add()
file: keras/layers/merge.py
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id: 1426
unit: def subtract()
file: keras/layers/merge.py
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id: 1427
unit: def multiply()
file: keras/layers/merge.py
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id: 1428
unit: def average()
file: keras/layers/merge.py
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id: 1429
unit: def maximum()
file: keras/layers/merge.py
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id: 1430
unit: def minimum()
file: keras/layers/merge.py
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id: 1431
unit: def concatenate()
file: keras/layers/merge.py
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id: 1432
unit: def dot()
file: keras/layers/merge.py
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id: 1433
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file: keras/layers/convolutional.py
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id: 1434
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file: keras/layers/convolutional.py
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id: 1435
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file: keras/layers/convolutional.py
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id: 1436
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file: keras/layers/convolutional.py
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id: 1437
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file: keras/layers/core.py
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id: 1438
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file: keras/layers/core.py
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id: 1439
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file: keras/layers/core.py
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id: 1440
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file: keras/layers/core.py
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file: keras/layers/core.py
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file: keras/layers/core.py
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file: keras/layers/core.py
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file: keras/layers/core.py
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id: 1445
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file: keras/layers/core.py
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id: 1446
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file: keras/layers/normalization.py
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id: 1447
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file: keras/layers/wrappers.py
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id: 1448
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file: keras/layers/wrappers.py
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id: 1449
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file: keras/layers/wrappers.py
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id: 1450
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file: keras/layers/wrappers.py
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id: 1451
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file: keras/layers/wrappers.py
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id: 1452
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file: keras/layers/wrappers.py
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file: keras/layers/wrappers.py
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id: 1454
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file: keras/layers/wrappers.py
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id: 1455
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file: keras/layers/wrappers.py
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id: 1456
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file: keras/layers/pooling.py
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id: 1457
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file: keras/layers/pooling.py
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id: 1458
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file: keras/layers/pooling.py
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id: 1459
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file: keras/layers/pooling.py
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id: 1460
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file: keras/layers/recurrent.py
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id: 1461
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file: keras/layers/recurrent.py
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file: keras/layers/recurrent.py
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id: 1463
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file: keras/layers/recurrent.py
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id: 1464
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file: keras/layers/recurrent.py
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id: 1465
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file: keras/layers/recurrent.py
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id: 1466
unit: def bias_initializer()
file: keras/layers/recurrent.py
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id: 1467
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file: keras/layers/recurrent.py
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id: 1468
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file: keras/layers/recurrent.py
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id: 1469
unit: def bias_regularizer()
file: keras/layers/recurrent.py
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id: 1470
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file: keras/layers/recurrent.py
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id: 1471
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file: keras/layers/recurrent.py
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id: 1472
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file: keras/layers/recurrent.py
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id: 1473
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file: keras/layers/recurrent.py
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id: 1474
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id: 1475
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id: 1476
unit: def activation()
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id: 1477
unit: def recurrent_activation()
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McCabe index: 1
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id: 1478
unit: def use_bias()
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McCabe index: 1
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id: 1479
unit: def kernel_initializer()
file: keras/layers/recurrent.py
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McCabe index: 1
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id: 1480
unit: def recurrent_initializer()
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id: 1481
unit: def bias_initializer()
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id: 1482
unit: def kernel_regularizer()
file: keras/layers/recurrent.py
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id: 1483
unit: def recurrent_regularizer()
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id: 1484
unit: def bias_regularizer()
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id: 1485
unit: def kernel_constraint()
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id: 1486
unit: def recurrent_constraint()
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id: 1487
unit: def bias_constraint()
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id: 1488
unit: def dropout()
file: keras/layers/recurrent.py
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id: 1489
unit: def recurrent_dropout()
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id: 1490
unit: def implementation()
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id: 1491
unit: def reset_after()
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id: 1492
unit: def units()
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id: 1493
unit: def activation()
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id: 1494
unit: def recurrent_activation()
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id: 1495
unit: def use_bias()
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id: 1496
unit: def kernel_initializer()
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id: 1497
unit: def recurrent_initializer()
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id: 1498
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id: 1499
unit: def unit_forget_bias()
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id: 1500
unit: def kernel_regularizer()
file: keras/layers/recurrent.py
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number of parameters: 1

id: 1501
unit: def recurrent_regularizer()
file: keras/layers/recurrent.py
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McCabe index: 1
number of parameters: 1

id: 1502
unit: def bias_regularizer()
file: keras/layers/recurrent.py
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McCabe index: 1
number of parameters: 1

id: 1503
unit: def kernel_constraint()
file: keras/layers/recurrent.py
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McCabe index: 1
number of parameters: 1

id: 1504
unit: def recurrent_constraint()
file: keras/layers/recurrent.py
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McCabe index: 1
number of parameters: 1

id: 1505
unit: def bias_constraint()
file: keras/layers/recurrent.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1506
unit: def dropout()
file: keras/layers/recurrent.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1507
unit: def recurrent_dropout()
file: keras/layers/recurrent.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1508
unit: def implementation()
file: keras/layers/recurrent.py
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number of parameters: 1

id: 1509
unit: def learning_phase()
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number of parameters: 0

id: 1510
unit: def in_test_phase()
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McCabe index: 1
number of parameters: 3

id: 1511
unit: def is_placeholder()
file: keras/backend/cntk_backend.py
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McCabe index: 2
number of parameters: 1

id: 1512
unit: def is_sparse()
file: keras/backend/cntk_backend.py
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McCabe index: 1
number of parameters: 1

id: 1513
unit: def dtype()
file: keras/backend/cntk_backend.py
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McCabe index: 1
number of parameters: 1

id: 1514
unit: def zeros_like()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1515
unit: def ones_like()
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1516
unit: def cast()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1517
unit: def transpose()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1518
unit: def logsumexp()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1519
unit: def std()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1520
unit: def square()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1521
unit: def abs()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1522
unit: def sqrt()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1523
unit: def exp()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1524
unit: def log()
file: keras/backend/cntk_backend.py
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McCabe index: 1
number of parameters: 1

id: 1525
unit: def round()
file: keras/backend/cntk_backend.py
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McCabe index: 1
number of parameters: 1

id: 1526
unit: def sigmoid()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1527
unit: def sign()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1528
unit: def pow()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1529
unit: def get_variable_shape()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1530
unit: def update()
file: keras/backend/cntk_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1531
unit: def moving_average_update()
file: keras/backend/cntk_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1532
unit: def equal()
file: keras/backend/cntk_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1533
unit: def not_equal()
file: keras/backend/cntk_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1534
unit: def greater()
file: keras/backend/cntk_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1535
unit: def greater_equal()
file: keras/backend/cntk_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1536
unit: def less()
file: keras/backend/cntk_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1537
unit: def less_equal()
file: keras/backend/cntk_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1538
unit: def maximum()
file: keras/backend/cntk_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1539
unit: def minimum()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1540
unit: def sin()
file: keras/backend/cntk_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1541
unit: def cos()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1542
unit: def flatten()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1543
unit: def tanh()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1544
unit: def has_seq_axis()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1545
unit: def softmax()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1546
unit: def softplus()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1547
unit: def softsign()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1548
unit: def function()
file: keras/backend/cntk_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1549
unit: def one_hot()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1550
unit: def get_num_dynamic_axis()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1551
unit: def slice()
file: keras/backend/cntk_backend.py
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McCabe index: 1
number of parameters: 3

id: 1552
unit: def __init__()
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McCabe index: 1
number of parameters: 3

id: 1553
unit: def forward()
file: keras/backend/cntk_backend.py
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McCabe index: 1
number of parameters: 4

id: 1554
unit: def backward()
file: keras/backend/cntk_backend.py
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number of parameters: 3

id: 1555
unit: def forward()
file: keras/backend/cntk_backend.py
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number of parameters: 4

id: 1556
unit: def backward()
file: keras/backend/cntk_backend.py
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McCabe index: 1
number of parameters: 3

id: 1557
unit: def backward()
file: keras/backend/cntk_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1558
unit: def backend()
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size: 2 LOC
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number of parameters: 0

id: 1559
unit: def __init__()
file: keras/backend/mxnet_backend.py
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number of parameters: 2

id: 1560
unit: def __exit__()
file: keras/backend/mxnet_backend.py
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number of parameters: 4

id: 1561
unit: def is_reentry()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
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number of parameters: 0

id: 1562
unit: def learning_phase()
file: keras/backend/mxnet_backend.py
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number of parameters: 0

id: 1563
unit: def is_tensor()
file: keras/backend/mxnet_backend.py
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number of parameters: 1

id: 1564
unit: def is_placeholder()
file: keras/backend/mxnet_backend.py
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number of parameters: 1

id: 1565
unit: def dtype()
file: keras/backend/mxnet_backend.py
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McCabe index: 1
number of parameters: 1

id: 1566
unit: def zeros_like()
file: keras/backend/mxnet_backend.py
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number of parameters: 3

id: 1567
unit: def ones_like()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1568
unit: def update()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1569
unit: def update_add()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1570
unit: def update_sub()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1571
unit: def moving_average_update()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1572
unit: def cumsum()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1573
unit: def cumprod()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1574
unit: def square()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1575
unit: def abs()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1576
unit: def exp()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1577
unit: def log()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1578
unit: def logsumexp()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1579
unit: def round()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1580
unit: def sign()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1581
unit: def sin()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1582
unit: def cos()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1583
unit: def permute_dimensions()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1584
unit: def repeat_elements()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1585
unit: def tile()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1586
unit: def flatten()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1587
unit: def batch_flatten()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1588
unit: def one_hot()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1589
unit: def reverse()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1590
unit: def get_value()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1591
unit: def batch_get_value()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1592
unit: def get_variable_shape()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1593
unit: def print_tensor()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1594
unit: def function()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1595
unit: def gradients()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1596
unit: def in_test_phase()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1597
unit: def elu()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1598
unit: def softmax()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1599
unit: def softplus()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1600
unit: def softsign()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1601
unit: def sigmoid()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1602
unit: def hard_sigmoid()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1603
unit: def tanh()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1604
unit: def ctc_batch_cost()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1605
unit: def map_fn()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1606
unit: def foldl()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1607
unit: def foldr()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1608
unit: def local_conv1d()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 5

id: 1609
unit: def local_conv2d()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 6

id: 1610
unit: def get_neighbor()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1611
unit: def get_bind_values()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1612
unit: def get_stype()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1613
unit: def dtype()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1614
unit: def shape()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1615
unit: def eval()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1616
unit: def __abs__()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1617
unit: def __radd__()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1618
unit: def __rsub__()
file: keras/backend/mxnet_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1619
unit: def __neg__()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1620
unit: def __truediv__()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1621
unit: def __rmul__()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1622
unit: def __pow__()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1623
unit: def __repr__()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1624
unit: def __str__()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1625
unit: def __init__()
file: keras/backend/mxnet_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1626
unit: def __init__()
file: keras/backend/tensorflow_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1627
unit: def _set_device()
file: keras/backend/tensorflow_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1628
unit: def _to_tensor()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1629
unit: def is_sparse()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1630
unit: def is_tensor()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1631
unit: def shape()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1632
unit: def dtype()
file: keras/backend/tensorflow_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1633
unit: def eval()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1634
unit: def zeros_like()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1635
unit: def ones_like()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1636
unit: def identity()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1637
unit: def count_params()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1638
unit: def cast()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1639
unit: def update()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1640
unit: def update_add()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1641
unit: def update_sub()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1642
unit: def transpose()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1643
unit: def gather()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1644
unit: def max()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1645
unit: def min()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1646
unit: def sum()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1647
unit: def prod()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1648
unit: def cumsum()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1649
unit: def cumprod()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1650
unit: def std()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1651
unit: def argmax()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1652
unit: def argmin()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1653
unit: def square()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1654
unit: def abs()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1655
unit: def exp()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1656
unit: def log()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1657
unit: def logsumexp()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1658
unit: def round()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1659
unit: def sign()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1660
unit: def pow()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1661
unit: def equal()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1662
unit: def not_equal()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1663
unit: def greater()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1664
unit: def greater_equal()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1665
unit: def less()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1666
unit: def less_equal()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1667
unit: def maximum()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1668
unit: def minimum()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1669
unit: def sin()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1670
unit: def cos()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1671
unit: def reshape()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1672
unit: def permute_dimensions()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1673
unit: def flatten()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1674
unit: def expand_dims()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1675
unit: def squeeze()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1676
unit: def stack()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1677
unit: def one_hot()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1678
unit: def slice()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1679
unit: def get_value()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1680
unit: def get_variable_shape()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1681
unit: def print_tensor()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1682
unit: def gradients()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1683
unit: def in_test_phase()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1684
unit: def softmax()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1685
unit: def softplus()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1686
unit: def softsign()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1687
unit: def sigmoid()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1688
unit: def tanh()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1689
unit: def l2_normalize()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1690
unit: def in_top_k()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1691
unit: def map_fn()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1692
unit: def foldl()
file: keras/backend/tensorflow_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1693
unit: def foldr()
file: keras/backend/tensorflow_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1694
unit: def epsilon()
file: keras/backend/common.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1695
unit: def floatx()
file: keras/backend/common.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1696
unit: def cast_to_floatx()
file: keras/backend/common.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1697
unit: def image_data_format()
file: keras/backend/common.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1698
unit: def learning_phase()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 0

id: 1699
unit: def is_sparse()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1700
unit: def is_placeholder()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1701
unit: def shape()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1702
unit: def ndim()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1703
unit: def dtype()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1704
unit: def eval()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1705
unit: def ones_like()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1706
unit: def zeros_like()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1707
unit: def identity()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1708
unit: def cast()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1709
unit: def update()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1710
unit: def update_add()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1711
unit: def update_sub()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1712
unit: def moving_average_update()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1713
unit: def max()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1714
unit: def min()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1715
unit: def sum()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1716
unit: def prod()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1717
unit: def cumsum()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1718
unit: def cumprod()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1719
unit: def std()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1720
unit: def var()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1721
unit: def argmax()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1722
unit: def argmin()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1723
unit: def square()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1724
unit: def abs()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1725
unit: def exp()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1726
unit: def log()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1727
unit: def logsumexp()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 3

id: 1728
unit: def round()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1729
unit: def sign()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1730
unit: def pow()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1731
unit: def equal()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1732
unit: def greater()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1733
unit: def greater_equal()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1734
unit: def less()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1735
unit: def less_equal()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1736
unit: def maximum()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1737
unit: def minimum()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1738
unit: def sin()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1739
unit: def cos()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1740
unit: def arange()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 4

id: 1741
unit: def stack()
file: keras/backend/theano_backend.py
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number of parameters: 2

id: 1742
unit: def slice()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1743
unit: def pattern_broadcast()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1744
unit: def batch_get_value()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 2
number of parameters: 1

id: 1745
unit: def set_value()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1746
unit: def get_variable_shape()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1747
unit: def gradients()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1748
unit: def in_test_phase()
file: keras/backend/theano_backend.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1749
unit: def softplus()
file: keras/backend/theano_backend.py
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size: 2 LOC
McCabe index: 1
number of parameters: 1

id: 1750
unit: def softsign()
file: keras/backend/theano_backend.py
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size: 2 LOC
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number of parameters: 1

id: 1751
unit: def sigmoid()
file: keras/backend/theano_backend.py
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size: 2 LOC
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number of parameters: 1

id: 1752
unit: def hard_sigmoid()
file: keras/backend/theano_backend.py
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size: 2 LOC
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number of parameters: 1

id: 1753
unit: def tanh()
file: keras/backend/theano_backend.py
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size: 2 LOC
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number of parameters: 1

id: 1754
unit: def map_fn()
file: keras/backend/theano_backend.py
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size: 2 LOC
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number of parameters: 4

id: 1755
unit: def Xception()
file: keras/applications/xception.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1756
unit: def decode_predictions()
file: keras/applications/xception.py
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number of parameters: 2

id: 1757
unit: def preprocess_input()
file: keras/applications/xception.py
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size: 2 LOC
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number of parameters: 2

id: 1758
unit: def DenseNet121()
file: keras/applications/densenet.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1759
unit: def DenseNet169()
file: keras/applications/densenet.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1760
unit: def DenseNet201()
file: keras/applications/densenet.py
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number of parameters: 2

id: 1761
unit: def decode_predictions()
file: keras/applications/densenet.py
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number of parameters: 2

id: 1762
unit: def preprocess_input()
file: keras/applications/densenet.py
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number of parameters: 2

id: 1763
unit: def preprocess_input()
file: keras/applications/imagenet_utils.py
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size: 2 LOC
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number of parameters: 2

id: 1764
unit: def InceptionResNetV2()
file: keras/applications/inception_resnet_v2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1765
unit: def decode_predictions()
file: keras/applications/inception_resnet_v2.py
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number of parameters: 2

id: 1766
unit: def preprocess_input()
file: keras/applications/inception_resnet_v2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1767
unit: def ResNet50()
file: keras/applications/resnet50.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1768
unit: def decode_predictions()
file: keras/applications/resnet50.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1769
unit: def preprocess_input()
file: keras/applications/resnet50.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1770
unit: def MobileNet()
file: keras/applications/mobilenet.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1771
unit: def decode_predictions()
file: keras/applications/mobilenet.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1772
unit: def preprocess_input()
file: keras/applications/mobilenet.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1773
unit: def NASNetMobile()
file: keras/applications/nasnet.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1774
unit: def NASNetLarge()
file: keras/applications/nasnet.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1775
unit: def decode_predictions()
file: keras/applications/nasnet.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1776
unit: def preprocess_input()
file: keras/applications/nasnet.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1777
unit: def MobileNetV2()
file: keras/applications/mobilenet_v2.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1778
unit: def decode_predictions()
file: keras/applications/mobilenet_v2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1779
unit: def preprocess_input()
file: keras/applications/mobilenet_v2.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1780
unit: def InceptionV3()
file: keras/applications/inception_v3.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1781
unit: def decode_predictions()
file: keras/applications/inception_v3.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1782
unit: def preprocess_input()
file: keras/applications/inception_v3.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1783
unit: def VGG19()
file: keras/applications/vgg19.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1784
unit: def decode_predictions()
file: keras/applications/vgg19.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1785
unit: def preprocess_input()
file: keras/applications/vgg19.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1786
unit: def VGG16()
file: keras/applications/vgg16.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1787
unit: def decode_predictions()
file: keras/applications/vgg16.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1788
unit: def preprocess_input()
file: keras/applications/vgg16.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1789
unit: def on_train_begin()
file: benchmark/scripts/models/timehistory.py
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size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1790
unit: def on_epoch_begin()
file: benchmark/scripts/models/timehistory.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1791
unit: def on_epoch_end()
file: benchmark/scripts/models/timehistory.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 3

id: 1792
unit: def crossentropy_from_logits()
file: benchmark/scripts/models/lstm_synthetic.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2

id: 1793
unit: def crossentropy_from_logits()
file: benchmark/scripts/models/lstm_text_generation.py
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end line: 0
size: 2 LOC
McCabe index: 1
number of parameters: 2