path: "tensorflow.keras.layers" tf_module { member { name: "Activation" mtype: "" } member { name: "ActivityRegularization" mtype: "" } member { name: "Add" mtype: "" } member { name: "AlphaDropout" mtype: "" } member { name: "Average" mtype: "" } member { name: "AveragePooling1D" mtype: "" } member { name: "AveragePooling2D" mtype: "" } member { name: "AveragePooling3D" mtype: "" } member { name: "AvgPool1D" mtype: "" } member { name: "AvgPool2D" mtype: "" } member { name: "AvgPool3D" mtype: "" } member { name: "BatchNormalization" mtype: "" } member { name: "Bidirectional" mtype: "" } member { name: "Concatenate" mtype: "" } member { name: "Conv1D" mtype: "" } member { name: "Conv2D" mtype: "" } member { name: "Conv2DTranspose" mtype: "" } member { name: "Conv3D" mtype: "" } member { name: "Conv3DTranspose" mtype: "" } member { name: "ConvLSTM2D" mtype: "" } member { name: "Convolution1D" mtype: "" } member { name: "Convolution2D" mtype: "" } member { name: "Convolution2DTranspose" mtype: "" } member { name: "Convolution3D" mtype: "" } member { name: "Convolution3DTranspose" mtype: "" } member { name: "Cropping1D" mtype: "" } member { name: "Cropping2D" mtype: "" } member { name: "Cropping3D" mtype: "" } member { name: "CuDNNGRU" mtype: "" } member { name: "CuDNNLSTM" mtype: "" } member { name: "Dense" mtype: "" } member { name: "DepthwiseConv2D" mtype: "" } member { name: "Dot" mtype: "" } member { name: "Dropout" mtype: "" } member { name: "ELU" mtype: "" } member { name: "Embedding" mtype: "" } member { name: "Flatten" mtype: "" } member { name: "GRU" mtype: "" } member { name: "GRUCell" mtype: "" } member { name: "GaussianDropout" mtype: "" } member { name: "GaussianNoise" mtype: "" } member { name: "GlobalAveragePooling1D" mtype: "" } member { name: "GlobalAveragePooling2D" mtype: "" } member { name: "GlobalAveragePooling3D" mtype: "" } member { name: "GlobalAvgPool1D" mtype: "" } member { name: "GlobalAvgPool2D" mtype: "" } member { name: "GlobalAvgPool3D" mtype: "" } member { name: "GlobalMaxPool1D" mtype: "" } member { name: "GlobalMaxPool2D" mtype: "" } member { name: "GlobalMaxPool3D" mtype: "" } member { name: "GlobalMaxPooling1D" mtype: "" } member { name: "GlobalMaxPooling2D" mtype: "" } member { name: "GlobalMaxPooling3D" mtype: "" } member { name: "InputLayer" mtype: "" } member { name: "InputSpec" mtype: "" } member { name: "LSTM" mtype: "" } member { name: "LSTMCell" mtype: "" } member { name: "Lambda" mtype: "" } member { name: "Layer" mtype: "" } member { name: "LeakyReLU" mtype: "" } member { name: "LocallyConnected1D" mtype: "" } member { name: "LocallyConnected2D" mtype: "" } member { name: "Masking" mtype: "" } member { name: "MaxPool1D" mtype: "" } member { name: "MaxPool2D" mtype: "" } member { name: "MaxPool3D" mtype: "" } member { name: "MaxPooling1D" mtype: "" } member { name: "MaxPooling2D" mtype: "" } member { name: "MaxPooling3D" mtype: "" } member { name: "Maximum" mtype: "" } member { name: "Minimum" mtype: "" } member { name: "Multiply" mtype: "" } member { name: "PReLU" mtype: "" } member { name: "Permute" mtype: "" } member { name: "RNN" mtype: "" } member { name: "ReLU" mtype: "" } member { name: "RepeatVector" mtype: "" } member { name: "Reshape" mtype: "" } member { name: "SeparableConv1D" mtype: "" } member { name: "SeparableConv2D" mtype: "" } member { name: "SeparableConvolution1D" mtype: "" } member { name: "SeparableConvolution2D" mtype: "" } member { name: "SimpleRNN" mtype: "" } member { name: "SimpleRNNCell" mtype: "" } member { name: "Softmax" mtype: "" } member { name: "SpatialDropout1D" mtype: "" } member { name: "SpatialDropout2D" mtype: "" } member { name: "SpatialDropout3D" mtype: "" } member { name: "StackedRNNCells" mtype: "" } member { name: "Subtract" mtype: "" } member { name: "ThresholdedReLU" mtype: "" } member { name: "TimeDistributed" mtype: "" } member { name: "UpSampling1D" mtype: "" } member { name: "UpSampling2D" mtype: "" } member { name: "UpSampling3D" mtype: "" } member { name: "Wrapper" mtype: "" } member { name: "ZeroPadding1D" mtype: "" } member { name: "ZeroPadding2D" mtype: "" } member { name: "ZeroPadding3D" mtype: "" } member_method { name: "Input" argspec: "args=[\'shape\', \'batch_size\', \'name\', \'dtype\', \'sparse\', \'tensor\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'None\', \'None\', \'None\', \'False\', \'None\'], " } member_method { name: "add" argspec: "args=[\'inputs\'], varargs=None, keywords=kwargs, defaults=None" } member_method { name: "average" argspec: "args=[\'inputs\'], varargs=None, keywords=kwargs, defaults=None" } member_method { name: "concatenate" argspec: "args=[\'inputs\', \'axis\'], varargs=None, keywords=kwargs, defaults=[\'-1\'], " } member_method { name: "dot" argspec: "args=[\'inputs\', \'axes\', \'normalize\'], varargs=None, keywords=kwargs, defaults=[\'False\'], " } member_method { name: "maximum" argspec: "args=[\'inputs\'], varargs=None, keywords=kwargs, defaults=None" } member_method { name: "minimum" argspec: "args=[\'inputs\'], varargs=None, keywords=kwargs, defaults=None" } member_method { name: "multiply" argspec: "args=[\'inputs\'], varargs=None, keywords=kwargs, defaults=None" } member_method { name: "subtract" argspec: "args=[\'inputs\'], varargs=None, keywords=kwargs, defaults=None" } }