Skip to content

Instantly share code, notes, and snippets.

@asmith26
Last active May 27, 2016 08:51
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save asmith26/2da836496825dbf2d7735dbe84dfe1cd to your computer and use it in GitHub Desktop.
Save asmith26/2da836496825dbf2d7735dbe84dfe1cd to your computer and use it in GitHub Desktop.
model_from_json fails with "TypeError: arg 5 (closure) must be tuple"
{"loss": "categorical_crossentropy", "optimizer": {"nesterov": true, "lr": 0.10000000149011612, "name": "SGD", "momentum": 0.8999999761581421, "decay": 0.0}, "class_name": "Model", "loss_weights": null, "keras_version": "1.0.3", "config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 3, 32, 32], "name": "input_1", "input_dtype": "float32"}, "inbound_nodes": [], "name": "input_1"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_1", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["input_1", 0, 0]]], "name": "convolution2d_1"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_1", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_1", 0, 0]]], "name": "batchnormalization_1"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_1"}, "inbound_nodes": [[["batchnormalization_1", 0, 0]]], "name": "activation_1"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_2", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_1", 0, 0]]], "name": "convolution2d_2"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_2", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_2", 0, 0]]], "name": "batchnormalization_2"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_2"}, "inbound_nodes": [[["batchnormalization_2", 0, 0]]], "name": "activation_2"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_3", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_2", 0, 0]]], "name": "convolution2d_3"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_3", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_3", 0, 0]]], "name": "batchnormalization_3"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_1", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_3", 0, 0]]], "name": "lambda_1"}, {"class_name": "Merge", "config": {"name": "merge_1", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_1", 0, 0], ["activation_1", 0, 0]]], "name": "merge_1"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_3"}, "inbound_nodes": [[["merge_1", 0, 0]]], "name": "activation_3"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_2", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_3", 0, 0], ["activation_1", 0, 0]]], "name": "lambda_2"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_4", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_2", 0, 0]]], "name": "convolution2d_4"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_4", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_4", 0, 0]]], "name": "batchnormalization_4"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_4"}, "inbound_nodes": [[["batchnormalization_4", 0, 0]]], "name": "activation_4"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_5", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_4", 0, 0]]], "name": "convolution2d_5"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_5", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_5", 0, 0]]], "name": "batchnormalization_5"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_3", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_5", 0, 0]]], "name": "lambda_3"}, {"class_name": "Merge", "config": {"name": "merge_2", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_3", 0, 0], ["lambda_2", 0, 0]]], "name": "merge_2"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_5"}, "inbound_nodes": [[["merge_2", 0, 0]]], "name": "activation_5"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_4", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_5", 0, 0], ["lambda_2", 0, 0]]], "name": "lambda_4"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_6", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_4", 0, 0]]], "name": "convolution2d_6"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_6", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_6", 0, 0]]], "name": "batchnormalization_6"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_6"}, "inbound_nodes": [[["batchnormalization_6", 0, 0]]], "name": "activation_6"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_7", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_6", 0, 0]]], "name": "convolution2d_7"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_7", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_7", 0, 0]]], "name": "batchnormalization_7"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_5", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_7", 0, 0]]], "name": "lambda_5"}, {"class_name": "Merge", "config": {"name": "merge_3", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_5", 0, 0], ["lambda_4", 0, 0]]], "name": "merge_3"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_7"}, "inbound_nodes": [[["merge_3", 0, 0]]], "name": "activation_7"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_6", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_7", 0, 0], ["lambda_4", 0, 0]]], "name": "lambda_6"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_8", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_6", 0, 0]]], "name": "convolution2d_8"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_8", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_8", 0, 0]]], "name": "batchnormalization_8"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_8"}, "inbound_nodes": [[["batchnormalization_8", 0, 0]]], "name": "activation_8"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_9", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_8", 0, 0]]], "name": "convolution2d_9"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_9", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_9", 0, 0]]], "name": "batchnormalization_9"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_7", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_9", 0, 0]]], "name": "lambda_7"}, {"class_name": "Merge", "config": {"name": "merge_4", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_7", 0, 0], ["lambda_6", 0, 0]]], "name": "merge_4"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_9"}, "inbound_nodes": [[["merge_4", 0, 0]]], "name": "activation_9"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_8", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_9", 0, 0], ["lambda_6", 0, 0]]], "name": "lambda_8"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_10", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_8", 0, 0]]], "name": "convolution2d_10"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_10", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_10", 0, 0]]], "name": "batchnormalization_10"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_10"}, "inbound_nodes": [[["batchnormalization_10", 0, 0]]], "name": "activation_10"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_11", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_10", 0, 0]]], "name": "convolution2d_11"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_11", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_11", 0, 0]]], "name": "batchnormalization_11"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_9", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_11", 0, 0]]], "name": "lambda_9"}, {"class_name": "Merge", "config": {"name": "merge_5", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_9", 0, 0], ["lambda_8", 0, 0]]], "name": "merge_5"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_11"}, "inbound_nodes": [[["merge_5", 0, 0]]], "name": "activation_11"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_10", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_11", 0, 0], ["lambda_8", 0, 0]]], "name": "lambda_10"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_12", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_10", 0, 0]]], "name": "convolution2d_12"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_12", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_12", 0, 0]]], "name": "batchnormalization_12"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_12"}, "inbound_nodes": [[["batchnormalization_12", 0, 0]]], "name": "activation_12"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_13", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_12", 0, 0]]], "name": "convolution2d_13"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_13", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_13", 0, 0]]], "name": "batchnormalization_13"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_11", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_13", 0, 0]]], "name": "lambda_11"}, {"class_name": "Merge", "config": {"name": "merge_6", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_11", 0, 0], ["lambda_10", 0, 0]]], "name": "merge_6"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_13"}, "inbound_nodes": [[["merge_6", 0, 0]]], "name": "activation_13"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_12", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_13", 0, 0], ["lambda_10", 0, 0]]], "name": "lambda_12"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_14", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_12", 0, 0]]], "name": "convolution2d_14"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_14", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_14", 0, 0]]], "name": "batchnormalization_14"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_14"}, "inbound_nodes": [[["batchnormalization_14", 0, 0]]], "name": "activation_14"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_15", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_14", 0, 0]]], "name": "convolution2d_15"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_15", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_15", 0, 0]]], "name": "batchnormalization_15"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_13", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_15", 0, 0]]], "name": "lambda_13"}, {"class_name": "Merge", "config": {"name": "merge_7", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_13", 0, 0], ["lambda_12", 0, 0]]], "name": "merge_7"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_15"}, "inbound_nodes": [[["merge_7", 0, 0]]], "name": "activation_15"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_14", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_15", 0, 0], ["lambda_12", 0, 0]]], "name": "lambda_14"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_16", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_14", 0, 0]]], "name": "convolution2d_16"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_16", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_16", 0, 0]]], "name": "batchnormalization_16"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_16"}, "inbound_nodes": [[["batchnormalization_16", 0, 0]]], "name": "activation_16"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_17", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_16", 0, 0]]], "name": "convolution2d_17"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_17", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_17", 0, 0]]], "name": "batchnormalization_17"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_15", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_17", 0, 0]]], "name": "lambda_15"}, {"class_name": "Merge", "config": {"name": "merge_8", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_15", 0, 0], ["lambda_14", 0, 0]]], "name": "merge_8"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_17"}, "inbound_nodes": [[["merge_8", 0, 0]]], "name": "activation_17"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_16", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_17", 0, 0], ["lambda_14", 0, 0]]], "name": "lambda_16"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_18", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_16", 0, 0]]], "name": "convolution2d_18"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_18", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_18", 0, 0]]], "name": "batchnormalization_18"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_18"}, "inbound_nodes": [[["batchnormalization_18", 0, 0]]], "name": "activation_18"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_19", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_18", 0, 0]]], "name": "convolution2d_19"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_19", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_19", 0, 0]]], "name": "batchnormalization_19"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_17", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_19", 0, 0]]], "name": "lambda_17"}, {"class_name": "Merge", "config": {"name": "merge_9", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_17", 0, 0], ["lambda_16", 0, 0]]], "name": "merge_9"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_19"}, "inbound_nodes": [[["merge_9", 0, 0]]], "name": "activation_19"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_18", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_19", 0, 0], ["lambda_16", 0, 0]]], "name": "lambda_18"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_20", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_18", 0, 0]]], "name": "convolution2d_20"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_20", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_20", 0, 0]]], "name": "batchnormalization_20"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_20"}, "inbound_nodes": [[["batchnormalization_20", 0, 0]]], "name": "activation_20"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_21", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_20", 0, 0]]], "name": "convolution2d_21"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_21", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_21", 0, 0]]], "name": "batchnormalization_21"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_19", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_21", 0, 0]]], "name": "lambda_19"}, {"class_name": "Merge", "config": {"name": "merge_10", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_19", 0, 0], ["lambda_18", 0, 0]]], "name": "merge_10"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_21"}, "inbound_nodes": [[["merge_10", 0, 0]]], "name": "activation_21"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_20", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_21", 0, 0], ["lambda_18", 0, 0]]], "name": "lambda_20"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_22", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_20", 0, 0]]], "name": "convolution2d_22"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_22", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_22", 0, 0]]], "name": "batchnormalization_22"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_22"}, "inbound_nodes": [[["batchnormalization_22", 0, 0]]], "name": "activation_22"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_23", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_22", 0, 0]]], "name": "convolution2d_23"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_23", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_23", 0, 0]]], "name": "batchnormalization_23"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_21", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_23", 0, 0]]], "name": "lambda_21"}, {"class_name": "Merge", "config": {"name": "merge_11", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_21", 0, 0], ["lambda_20", 0, 0]]], "name": "merge_11"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_23"}, "inbound_nodes": [[["merge_11", 0, 0]]], "name": "activation_23"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_22", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_23", 0, 0], ["lambda_20", 0, 0]]], "name": "lambda_22"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_24", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_22", 0, 0]]], "name": "convolution2d_24"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_24", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_24", 0, 0]]], "name": "batchnormalization_24"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_24"}, "inbound_nodes": [[["batchnormalization_24", 0, 0]]], "name": "activation_24"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_25", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_24", 0, 0]]], "name": "convolution2d_25"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_25", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_25", 0, 0]]], "name": "batchnormalization_25"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_23", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_25", 0, 0]]], "name": "lambda_23"}, {"class_name": "Merge", "config": {"name": "merge_12", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_23", 0, 0], ["lambda_22", 0, 0]]], "name": "merge_12"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_25"}, "inbound_nodes": [[["merge_12", 0, 0]]], "name": "activation_25"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_24", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_25", 0, 0], ["lambda_22", 0, 0]]], "name": "lambda_24"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_26", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_24", 0, 0]]], "name": "convolution2d_26"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_26", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_26", 0, 0]]], "name": "batchnormalization_26"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_26"}, "inbound_nodes": [[["batchnormalization_26", 0, 0]]], "name": "activation_26"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_27", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_26", 0, 0]]], "name": "convolution2d_27"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_27", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_27", 0, 0]]], "name": "batchnormalization_27"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_25", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_27", 0, 0]]], "name": "lambda_25"}, {"class_name": "Merge", "config": {"name": "merge_13", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_25", 0, 0], ["lambda_24", 0, 0]]], "name": "merge_13"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_27"}, "inbound_nodes": [[["merge_13", 0, 0]]], "name": "activation_27"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_26", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_27", 0, 0], ["lambda_24", 0, 0]]], "name": "lambda_26"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_28", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_26", 0, 0]]], "name": "convolution2d_28"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_28", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_28", 0, 0]]], "name": "batchnormalization_28"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_28"}, "inbound_nodes": [[["batchnormalization_28", 0, 0]]], "name": "activation_28"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_29", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_28", 0, 0]]], "name": "convolution2d_29"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_29", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_29", 0, 0]]], "name": "batchnormalization_29"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_27", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_29", 0, 0]]], "name": "lambda_27"}, {"class_name": "Merge", "config": {"name": "merge_14", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_27", 0, 0], ["lambda_26", 0, 0]]], "name": "merge_14"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_29"}, "inbound_nodes": [[["merge_14", 0, 0]]], "name": "activation_29"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_28", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_29", 0, 0], ["lambda_26", 0, 0]]], "name": "lambda_28"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_30", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_28", 0, 0]]], "name": "convolution2d_30"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_30", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_30", 0, 0]]], "name": "batchnormalization_30"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_30"}, "inbound_nodes": [[["batchnormalization_30", 0, 0]]], "name": "activation_30"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_31", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_30", 0, 0]]], "name": "convolution2d_31"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_31", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_31", 0, 0]]], "name": "batchnormalization_31"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_29", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_31", 0, 0]]], "name": "lambda_29"}, {"class_name": "Merge", "config": {"name": "merge_15", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_29", 0, 0], ["lambda_28", 0, 0]]], "name": "merge_15"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_31"}, "inbound_nodes": [[["merge_15", 0, 0]]], "name": "activation_31"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_30", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_31", 0, 0], ["lambda_28", 0, 0]]], "name": "lambda_30"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_32", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_30", 0, 0]]], "name": "convolution2d_32"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_32", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_32", 0, 0]]], "name": "batchnormalization_32"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_32"}, "inbound_nodes": [[["batchnormalization_32", 0, 0]]], "name": "activation_32"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_33", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_32", 0, 0]]], "name": "convolution2d_33"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_33", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_33", 0, 0]]], "name": "batchnormalization_33"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_31", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_33", 0, 0]]], "name": "lambda_31"}, {"class_name": "Merge", "config": {"name": "merge_16", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_31", 0, 0], ["lambda_30", 0, 0]]], "name": "merge_16"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_33"}, "inbound_nodes": [[["merge_16", 0, 0]]], "name": "activation_33"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_32", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_33", 0, 0], ["lambda_30", 0, 0]]], "name": "lambda_32"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_34", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_32", 0, 0]]], "name": "convolution2d_34"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_34", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_34", 0, 0]]], "name": "batchnormalization_34"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_34"}, "inbound_nodes": [[["batchnormalization_34", 0, 0]]], "name": "activation_34"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_35", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_34", 0, 0]]], "name": "convolution2d_35"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_35", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_35", 0, 0]]], "name": "batchnormalization_35"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_33", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_35", 0, 0]]], "name": "lambda_33"}, {"class_name": "Merge", "config": {"name": "merge_17", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_33", 0, 0], ["lambda_32", 0, 0]]], "name": "merge_17"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_35"}, "inbound_nodes": [[["merge_17", 0, 0]]], "name": "activation_35"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_34", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_35", 0, 0], ["lambda_32", 0, 0]]], "name": "lambda_34"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_36", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_34", 0, 0]]], "name": "convolution2d_36"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_36", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_36", 0, 0]]], "name": "batchnormalization_36"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_36"}, "inbound_nodes": [[["batchnormalization_36", 0, 0]]], "name": "activation_36"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_37", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 16, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_36", 0, 0]]], "name": "convolution2d_37"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_37", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_37", 0, 0]]], "name": "batchnormalization_37"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_35", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_37", 0, 0]]], "name": "lambda_35"}, {"class_name": "Merge", "config": {"name": "merge_18", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_35", 0, 0], ["lambda_34", 0, 0]]], "name": "merge_18"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_37"}, "inbound_nodes": [[["merge_18", 0, 0]]], "name": "activation_37"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_36", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [16, 32, 32], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_37", 0, 0], ["lambda_34", 0, 0]]], "name": "lambda_36"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_38", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [2, 2], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_36", 0, 0]]], "name": "convolution2d_38"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_38", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_38", 0, 0]]], "name": "batchnormalization_38"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_38"}, "inbound_nodes": [[["batchnormalization_38", 0, 0]]], "name": "activation_38"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_39", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_38", 0, 0]]], "name": "convolution2d_39"}, {"class_name": "AveragePooling2D", "config": {"name": "averagepooling2d_1", "trainable": true, "dim_ordering": "th", "pool_size": [2, 2], "strides": [2, 2], "border_mode": "valid"}, "inbound_nodes": [[["lambda_36", 0, 0]]], "name": "averagepooling2d_1"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_39", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_39", 0, 0]]], "name": "batchnormalization_39"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0004\u0000\u0000\u0000\u0013`\u0001\u0000s\u0019\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000|\u0000\u0000\u0088\u0000\u0000g\u0002\u0000d\u0001\u0000d\u0002\u0000\u0083\u0001\u0001S(\u0003\u0000\u0000\u0000Nt\u0004\u0000\u0000\u0000axisi\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u000b\u0000\u0000\u0000concatenate(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000y(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000padding(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>H\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_37", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["averagepooling2d_1", 0, 0]]], "name": "lambda_37"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_38", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_39", 0, 0]]], "name": "lambda_38"}, {"class_name": "Merge", "config": {"name": "merge_19", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_38", 0, 0], ["lambda_37", 0, 0]]], "name": "merge_19"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_39"}, "inbound_nodes": [[["merge_19", 0, 0]]], "name": "activation_39"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_39", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_39", 0, 0], ["lambda_37", 0, 0]]], "name": "lambda_39"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_40", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_39", 0, 0]]], "name": "convolution2d_40"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_40", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_40", 0, 0]]], "name": "batchnormalization_40"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_40"}, "inbound_nodes": [[["batchnormalization_40", 0, 0]]], "name": "activation_40"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_41", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_40", 0, 0]]], "name": "convolution2d_41"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_41", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_41", 0, 0]]], "name": "batchnormalization_41"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_40", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_41", 0, 0]]], "name": "lambda_40"}, {"class_name": "Merge", "config": {"name": "merge_20", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_40", 0, 0], ["lambda_39", 0, 0]]], "name": "merge_20"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_41"}, "inbound_nodes": [[["merge_20", 0, 0]]], "name": "activation_41"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_41", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_41", 0, 0], ["lambda_39", 0, 0]]], "name": "lambda_41"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_42", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_41", 0, 0]]], "name": "convolution2d_42"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_42", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_42", 0, 0]]], "name": "batchnormalization_42"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_42"}, "inbound_nodes": [[["batchnormalization_42", 0, 0]]], "name": "activation_42"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_43", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_42", 0, 0]]], "name": "convolution2d_43"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_43", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_43", 0, 0]]], "name": "batchnormalization_43"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_42", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_43", 0, 0]]], "name": "lambda_42"}, {"class_name": "Merge", "config": {"name": "merge_21", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_42", 0, 0], ["lambda_41", 0, 0]]], "name": "merge_21"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_43"}, "inbound_nodes": [[["merge_21", 0, 0]]], "name": "activation_43"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_43", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_43", 0, 0], ["lambda_41", 0, 0]]], "name": "lambda_43"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_44", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_43", 0, 0]]], "name": "convolution2d_44"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_44", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_44", 0, 0]]], "name": "batchnormalization_44"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_44"}, "inbound_nodes": [[["batchnormalization_44", 0, 0]]], "name": "activation_44"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_45", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_44", 0, 0]]], "name": "convolution2d_45"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_45", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_45", 0, 0]]], "name": "batchnormalization_45"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_44", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_45", 0, 0]]], "name": "lambda_44"}, {"class_name": "Merge", "config": {"name": "merge_22", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_44", 0, 0], ["lambda_43", 0, 0]]], "name": "merge_22"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_45"}, "inbound_nodes": [[["merge_22", 0, 0]]], "name": "activation_45"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_45", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_45", 0, 0], ["lambda_43", 0, 0]]], "name": "lambda_45"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_46", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_45", 0, 0]]], "name": "convolution2d_46"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_46", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_46", 0, 0]]], "name": "batchnormalization_46"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_46"}, "inbound_nodes": [[["batchnormalization_46", 0, 0]]], "name": "activation_46"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_47", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_46", 0, 0]]], "name": "convolution2d_47"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_47", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_47", 0, 0]]], "name": "batchnormalization_47"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_46", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_47", 0, 0]]], "name": "lambda_46"}, {"class_name": "Merge", "config": {"name": "merge_23", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_46", 0, 0], ["lambda_45", 0, 0]]], "name": "merge_23"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_47"}, "inbound_nodes": [[["merge_23", 0, 0]]], "name": "activation_47"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_47", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_47", 0, 0], ["lambda_45", 0, 0]]], "name": "lambda_47"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_48", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_47", 0, 0]]], "name": "convolution2d_48"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_48", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_48", 0, 0]]], "name": "batchnormalization_48"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_48"}, "inbound_nodes": [[["batchnormalization_48", 0, 0]]], "name": "activation_48"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_49", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_48", 0, 0]]], "name": "convolution2d_49"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_49", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_49", 0, 0]]], "name": "batchnormalization_49"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_48", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_49", 0, 0]]], "name": "lambda_48"}, {"class_name": "Merge", "config": {"name": "merge_24", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_48", 0, 0], ["lambda_47", 0, 0]]], "name": "merge_24"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_49"}, "inbound_nodes": [[["merge_24", 0, 0]]], "name": "activation_49"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_49", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_49", 0, 0], ["lambda_47", 0, 0]]], "name": "lambda_49"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_50", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_49", 0, 0]]], "name": "convolution2d_50"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_50", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_50", 0, 0]]], "name": "batchnormalization_50"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_50"}, "inbound_nodes": [[["batchnormalization_50", 0, 0]]], "name": "activation_50"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_51", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_50", 0, 0]]], "name": "convolution2d_51"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_51", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_51", 0, 0]]], "name": "batchnormalization_51"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_50", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_51", 0, 0]]], "name": "lambda_50"}, {"class_name": "Merge", "config": {"name": "merge_25", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_50", 0, 0], ["lambda_49", 0, 0]]], "name": "merge_25"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_51"}, "inbound_nodes": [[["merge_25", 0, 0]]], "name": "activation_51"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_51", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_51", 0, 0], ["lambda_49", 0, 0]]], "name": "lambda_51"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_52", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_51", 0, 0]]], "name": "convolution2d_52"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_52", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_52", 0, 0]]], "name": "batchnormalization_52"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_52"}, "inbound_nodes": [[["batchnormalization_52", 0, 0]]], "name": "activation_52"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_53", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_52", 0, 0]]], "name": "convolution2d_53"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_53", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_53", 0, 0]]], "name": "batchnormalization_53"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_52", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_53", 0, 0]]], "name": "lambda_52"}, {"class_name": "Merge", "config": {"name": "merge_26", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_52", 0, 0], ["lambda_51", 0, 0]]], "name": "merge_26"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_53"}, "inbound_nodes": [[["merge_26", 0, 0]]], "name": "activation_53"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_53", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_53", 0, 0], ["lambda_51", 0, 0]]], "name": "lambda_53"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_54", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_53", 0, 0]]], "name": "convolution2d_54"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_54", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_54", 0, 0]]], "name": "batchnormalization_54"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_54"}, "inbound_nodes": [[["batchnormalization_54", 0, 0]]], "name": "activation_54"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_55", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_54", 0, 0]]], "name": "convolution2d_55"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_55", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_55", 0, 0]]], "name": "batchnormalization_55"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_54", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_55", 0, 0]]], "name": "lambda_54"}, {"class_name": "Merge", "config": {"name": "merge_27", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_54", 0, 0], ["lambda_53", 0, 0]]], "name": "merge_27"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_55"}, "inbound_nodes": [[["merge_27", 0, 0]]], "name": "activation_55"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_55", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_55", 0, 0], ["lambda_53", 0, 0]]], "name": "lambda_55"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_56", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_55", 0, 0]]], "name": "convolution2d_56"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_56", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_56", 0, 0]]], "name": "batchnormalization_56"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_56"}, "inbound_nodes": [[["batchnormalization_56", 0, 0]]], "name": "activation_56"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_57", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_56", 0, 0]]], "name": "convolution2d_57"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_57", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_57", 0, 0]]], "name": "batchnormalization_57"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_56", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_57", 0, 0]]], "name": "lambda_56"}, {"class_name": "Merge", "config": {"name": "merge_28", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_56", 0, 0], ["lambda_55", 0, 0]]], "name": "merge_28"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_57"}, "inbound_nodes": [[["merge_28", 0, 0]]], "name": "activation_57"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_57", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_57", 0, 0], ["lambda_55", 0, 0]]], "name": "lambda_57"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_58", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_57", 0, 0]]], "name": "convolution2d_58"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_58", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_58", 0, 0]]], "name": "batchnormalization_58"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_58"}, "inbound_nodes": [[["batchnormalization_58", 0, 0]]], "name": "activation_58"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_59", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_58", 0, 0]]], "name": "convolution2d_59"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_59", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_59", 0, 0]]], "name": "batchnormalization_59"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_58", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_59", 0, 0]]], "name": "lambda_58"}, {"class_name": "Merge", "config": {"name": "merge_29", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_58", 0, 0], ["lambda_57", 0, 0]]], "name": "merge_29"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_59"}, "inbound_nodes": [[["merge_29", 0, 0]]], "name": "activation_59"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_59", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_59", 0, 0], ["lambda_57", 0, 0]]], "name": "lambda_59"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_60", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_59", 0, 0]]], "name": "convolution2d_60"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_60", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_60", 0, 0]]], "name": "batchnormalization_60"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_60"}, "inbound_nodes": [[["batchnormalization_60", 0, 0]]], "name": "activation_60"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_61", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_60", 0, 0]]], "name": "convolution2d_61"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_61", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_61", 0, 0]]], "name": "batchnormalization_61"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_60", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_61", 0, 0]]], "name": "lambda_60"}, {"class_name": "Merge", "config": {"name": "merge_30", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_60", 0, 0], ["lambda_59", 0, 0]]], "name": "merge_30"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_61"}, "inbound_nodes": [[["merge_30", 0, 0]]], "name": "activation_61"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_61", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_61", 0, 0], ["lambda_59", 0, 0]]], "name": "lambda_61"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_62", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_61", 0, 0]]], "name": "convolution2d_62"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_62", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_62", 0, 0]]], "name": "batchnormalization_62"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_62"}, "inbound_nodes": [[["batchnormalization_62", 0, 0]]], "name": "activation_62"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_63", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_62", 0, 0]]], "name": "convolution2d_63"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_63", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_63", 0, 0]]], "name": "batchnormalization_63"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_62", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_63", 0, 0]]], "name": "lambda_62"}, {"class_name": "Merge", "config": {"name": "merge_31", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_62", 0, 0], ["lambda_61", 0, 0]]], "name": "merge_31"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_63"}, "inbound_nodes": [[["merge_31", 0, 0]]], "name": "activation_63"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_63", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_63", 0, 0], ["lambda_61", 0, 0]]], "name": "lambda_63"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_64", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_63", 0, 0]]], "name": "convolution2d_64"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_64", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_64", 0, 0]]], "name": "batchnormalization_64"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_64"}, "inbound_nodes": [[["batchnormalization_64", 0, 0]]], "name": "activation_64"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_65", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_64", 0, 0]]], "name": "convolution2d_65"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_65", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_65", 0, 0]]], "name": "batchnormalization_65"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_64", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_65", 0, 0]]], "name": "lambda_64"}, {"class_name": "Merge", "config": {"name": "merge_32", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_64", 0, 0], ["lambda_63", 0, 0]]], "name": "merge_32"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_65"}, "inbound_nodes": [[["merge_32", 0, 0]]], "name": "activation_65"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_65", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_65", 0, 0], ["lambda_63", 0, 0]]], "name": "lambda_65"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_66", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_65", 0, 0]]], "name": "convolution2d_66"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_66", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_66", 0, 0]]], "name": "batchnormalization_66"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_66"}, "inbound_nodes": [[["batchnormalization_66", 0, 0]]], "name": "activation_66"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_67", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_66", 0, 0]]], "name": "convolution2d_67"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_67", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_67", 0, 0]]], "name": "batchnormalization_67"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_66", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_67", 0, 0]]], "name": "lambda_66"}, {"class_name": "Merge", "config": {"name": "merge_33", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_66", 0, 0], ["lambda_65", 0, 0]]], "name": "merge_33"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_67"}, "inbound_nodes": [[["merge_33", 0, 0]]], "name": "activation_67"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_67", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_67", 0, 0], ["lambda_65", 0, 0]]], "name": "lambda_67"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_68", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_67", 0, 0]]], "name": "convolution2d_68"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_68", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_68", 0, 0]]], "name": "batchnormalization_68"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_68"}, "inbound_nodes": [[["batchnormalization_68", 0, 0]]], "name": "activation_68"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_69", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_68", 0, 0]]], "name": "convolution2d_69"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_69", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_69", 0, 0]]], "name": "batchnormalization_69"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_68", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_69", 0, 0]]], "name": "lambda_68"}, {"class_name": "Merge", "config": {"name": "merge_34", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_68", 0, 0], ["lambda_67", 0, 0]]], "name": "merge_34"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_69"}, "inbound_nodes": [[["merge_34", 0, 0]]], "name": "activation_69"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_69", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_69", 0, 0], ["lambda_67", 0, 0]]], "name": "lambda_69"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_70", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_69", 0, 0]]], "name": "convolution2d_70"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_70", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_70", 0, 0]]], "name": "batchnormalization_70"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_70"}, "inbound_nodes": [[["batchnormalization_70", 0, 0]]], "name": "activation_70"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_71", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_70", 0, 0]]], "name": "convolution2d_71"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_71", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_71", 0, 0]]], "name": "batchnormalization_71"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_70", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_71", 0, 0]]], "name": "lambda_70"}, {"class_name": "Merge", "config": {"name": "merge_35", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_70", 0, 0], ["lambda_69", 0, 0]]], "name": "merge_35"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_71"}, "inbound_nodes": [[["merge_35", 0, 0]]], "name": "activation_71"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_71", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_71", 0, 0], ["lambda_69", 0, 0]]], "name": "lambda_71"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_72", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_71", 0, 0]]], "name": "convolution2d_72"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_72", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_72", 0, 0]]], "name": "batchnormalization_72"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_72"}, "inbound_nodes": [[["batchnormalization_72", 0, 0]]], "name": "activation_72"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_73", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 32, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_72", 0, 0]]], "name": "convolution2d_73"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_73", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_73", 0, 0]]], "name": "batchnormalization_73"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_72", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_73", 0, 0]]], "name": "lambda_72"}, {"class_name": "Merge", "config": {"name": "merge_36", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_72", 0, 0], ["lambda_71", 0, 0]]], "name": "merge_36"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_73"}, "inbound_nodes": [[["merge_36", 0, 0]]], "name": "activation_73"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_73", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [32, 16, 16], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_73", 0, 0], ["lambda_71", 0, 0]]], "name": "lambda_73"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_74", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [2, 2], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_73", 0, 0]]], "name": "convolution2d_74"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_74", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_74", 0, 0]]], "name": "batchnormalization_74"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_74"}, "inbound_nodes": [[["batchnormalization_74", 0, 0]]], "name": "activation_74"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_75", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_74", 0, 0]]], "name": "convolution2d_75"}, {"class_name": "AveragePooling2D", "config": {"name": "averagepooling2d_2", "trainable": true, "dim_ordering": "th", "pool_size": [2, 2], "strides": [2, 2], "border_mode": "valid"}, "inbound_nodes": [[["lambda_73", 0, 0]]], "name": "averagepooling2d_2"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_75", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_75", 0, 0]]], "name": "batchnormalization_75"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0004\u0000\u0000\u0000\u0013`\u0001\u0000s\u0019\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000|\u0000\u0000\u0088\u0000\u0000g\u0002\u0000d\u0001\u0000d\u0002\u0000\u0083\u0001\u0001S(\u0003\u0000\u0000\u0000Nt\u0004\u0000\u0000\u0000axisi\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u000b\u0000\u0000\u0000concatenate(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000y(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000padding(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>H\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_74", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["averagepooling2d_2", 0, 0]]], "name": "lambda_74"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_75", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_75", 0, 0]]], "name": "lambda_75"}, {"class_name": "Merge", "config": {"name": "merge_37", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_75", 0, 0], ["lambda_74", 0, 0]]], "name": "merge_37"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_75"}, "inbound_nodes": [[["merge_37", 0, 0]]], "name": "activation_75"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_76", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_75", 0, 0], ["lambda_74", 0, 0]]], "name": "lambda_76"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_76", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_76", 0, 0]]], "name": "convolution2d_76"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_76", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_76", 0, 0]]], "name": "batchnormalization_76"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_76"}, "inbound_nodes": [[["batchnormalization_76", 0, 0]]], "name": "activation_76"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_77", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_76", 0, 0]]], "name": "convolution2d_77"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_77", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_77", 0, 0]]], "name": "batchnormalization_77"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_77", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_77", 0, 0]]], "name": "lambda_77"}, {"class_name": "Merge", "config": {"name": "merge_38", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_77", 0, 0], ["lambda_76", 0, 0]]], "name": "merge_38"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_77"}, "inbound_nodes": [[["merge_38", 0, 0]]], "name": "activation_77"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_78", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_77", 0, 0], ["lambda_76", 0, 0]]], "name": "lambda_78"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_78", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_78", 0, 0]]], "name": "convolution2d_78"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_78", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_78", 0, 0]]], "name": "batchnormalization_78"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_78"}, "inbound_nodes": [[["batchnormalization_78", 0, 0]]], "name": "activation_78"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_79", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_78", 0, 0]]], "name": "convolution2d_79"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_79", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_79", 0, 0]]], "name": "batchnormalization_79"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_79", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_79", 0, 0]]], "name": "lambda_79"}, {"class_name": "Merge", "config": {"name": "merge_39", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_79", 0, 0], ["lambda_78", 0, 0]]], "name": "merge_39"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_79"}, "inbound_nodes": [[["merge_39", 0, 0]]], "name": "activation_79"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_80", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_79", 0, 0], ["lambda_78", 0, 0]]], "name": "lambda_80"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_80", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_80", 0, 0]]], "name": "convolution2d_80"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_80", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_80", 0, 0]]], "name": "batchnormalization_80"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_80"}, "inbound_nodes": [[["batchnormalization_80", 0, 0]]], "name": "activation_80"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_81", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_80", 0, 0]]], "name": "convolution2d_81"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_81", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_81", 0, 0]]], "name": "batchnormalization_81"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_81", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_81", 0, 0]]], "name": "lambda_81"}, {"class_name": "Merge", "config": {"name": "merge_40", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_81", 0, 0], ["lambda_80", 0, 0]]], "name": "merge_40"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_81"}, "inbound_nodes": [[["merge_40", 0, 0]]], "name": "activation_81"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_82", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_81", 0, 0], ["lambda_80", 0, 0]]], "name": "lambda_82"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_82", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_82", 0, 0]]], "name": "convolution2d_82"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_82", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_82", 0, 0]]], "name": "batchnormalization_82"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_82"}, "inbound_nodes": [[["batchnormalization_82", 0, 0]]], "name": "activation_82"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_83", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_82", 0, 0]]], "name": "convolution2d_83"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_83", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_83", 0, 0]]], "name": "batchnormalization_83"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_83", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_83", 0, 0]]], "name": "lambda_83"}, {"class_name": "Merge", "config": {"name": "merge_41", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_83", 0, 0], ["lambda_82", 0, 0]]], "name": "merge_41"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_83"}, "inbound_nodes": [[["merge_41", 0, 0]]], "name": "activation_83"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_84", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_83", 0, 0], ["lambda_82", 0, 0]]], "name": "lambda_84"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_84", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_84", 0, 0]]], "name": "convolution2d_84"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_84", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_84", 0, 0]]], "name": "batchnormalization_84"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_84"}, "inbound_nodes": [[["batchnormalization_84", 0, 0]]], "name": "activation_84"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_85", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_84", 0, 0]]], "name": "convolution2d_85"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_85", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_85", 0, 0]]], "name": "batchnormalization_85"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_85", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_85", 0, 0]]], "name": "lambda_85"}, {"class_name": "Merge", "config": {"name": "merge_42", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_85", 0, 0], ["lambda_84", 0, 0]]], "name": "merge_42"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_85"}, "inbound_nodes": [[["merge_42", 0, 0]]], "name": "activation_85"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_86", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_85", 0, 0], ["lambda_84", 0, 0]]], "name": "lambda_86"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_86", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_86", 0, 0]]], "name": "convolution2d_86"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_86", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_86", 0, 0]]], "name": "batchnormalization_86"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_86"}, "inbound_nodes": [[["batchnormalization_86", 0, 0]]], "name": "activation_86"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_87", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_86", 0, 0]]], "name": "convolution2d_87"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_87", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_87", 0, 0]]], "name": "batchnormalization_87"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_87", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_87", 0, 0]]], "name": "lambda_87"}, {"class_name": "Merge", "config": {"name": "merge_43", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_87", 0, 0], ["lambda_86", 0, 0]]], "name": "merge_43"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_87"}, "inbound_nodes": [[["merge_43", 0, 0]]], "name": "activation_87"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_88", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_87", 0, 0], ["lambda_86", 0, 0]]], "name": "lambda_88"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_88", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_88", 0, 0]]], "name": "convolution2d_88"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_88", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_88", 0, 0]]], "name": "batchnormalization_88"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_88"}, "inbound_nodes": [[["batchnormalization_88", 0, 0]]], "name": "activation_88"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_89", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_88", 0, 0]]], "name": "convolution2d_89"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_89", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_89", 0, 0]]], "name": "batchnormalization_89"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_89", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_89", 0, 0]]], "name": "lambda_89"}, {"class_name": "Merge", "config": {"name": "merge_44", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_89", 0, 0], ["lambda_88", 0, 0]]], "name": "merge_44"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_89"}, "inbound_nodes": [[["merge_44", 0, 0]]], "name": "activation_89"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_90", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_89", 0, 0], ["lambda_88", 0, 0]]], "name": "lambda_90"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_90", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_90", 0, 0]]], "name": "convolution2d_90"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_90", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_90", 0, 0]]], "name": "batchnormalization_90"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_90"}, "inbound_nodes": [[["batchnormalization_90", 0, 0]]], "name": "activation_90"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_91", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_90", 0, 0]]], "name": "convolution2d_91"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_91", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_91", 0, 0]]], "name": "batchnormalization_91"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_91", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_91", 0, 0]]], "name": "lambda_91"}, {"class_name": "Merge", "config": {"name": "merge_45", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_91", 0, 0], ["lambda_90", 0, 0]]], "name": "merge_45"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_91"}, "inbound_nodes": [[["merge_45", 0, 0]]], "name": "activation_91"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_92", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_91", 0, 0], ["lambda_90", 0, 0]]], "name": "lambda_92"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_92", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_92", 0, 0]]], "name": "convolution2d_92"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_92", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_92", 0, 0]]], "name": "batchnormalization_92"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_92"}, "inbound_nodes": [[["batchnormalization_92", 0, 0]]], "name": "activation_92"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_93", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_92", 0, 0]]], "name": "convolution2d_93"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_93", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_93", 0, 0]]], "name": "batchnormalization_93"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_93", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_93", 0, 0]]], "name": "lambda_93"}, {"class_name": "Merge", "config": {"name": "merge_46", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_93", 0, 0], ["lambda_92", 0, 0]]], "name": "merge_46"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_93"}, "inbound_nodes": [[["merge_46", 0, 0]]], "name": "activation_93"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_94", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_93", 0, 0], ["lambda_92", 0, 0]]], "name": "lambda_94"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_94", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_94", 0, 0]]], "name": "convolution2d_94"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_94", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_94", 0, 0]]], "name": "batchnormalization_94"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_94"}, "inbound_nodes": [[["batchnormalization_94", 0, 0]]], "name": "activation_94"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_95", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_94", 0, 0]]], "name": "convolution2d_95"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_95", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_95", 0, 0]]], "name": "batchnormalization_95"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_95", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_95", 0, 0]]], "name": "lambda_95"}, {"class_name": "Merge", "config": {"name": "merge_47", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_95", 0, 0], ["lambda_94", 0, 0]]], "name": "merge_47"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_95"}, "inbound_nodes": [[["merge_47", 0, 0]]], "name": "activation_95"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_96", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_95", 0, 0], ["lambda_94", 0, 0]]], "name": "lambda_96"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_96", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_96", 0, 0]]], "name": "convolution2d_96"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_96", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_96", 0, 0]]], "name": "batchnormalization_96"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_96"}, "inbound_nodes": [[["batchnormalization_96", 0, 0]]], "name": "activation_96"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_97", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_96", 0, 0]]], "name": "convolution2d_97"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_97", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_97", 0, 0]]], "name": "batchnormalization_97"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_97", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_97", 0, 0]]], "name": "lambda_97"}, {"class_name": "Merge", "config": {"name": "merge_48", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_97", 0, 0], ["lambda_96", 0, 0]]], "name": "merge_48"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_97"}, "inbound_nodes": [[["merge_48", 0, 0]]], "name": "activation_97"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_98", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_97", 0, 0], ["lambda_96", 0, 0]]], "name": "lambda_98"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_98", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_98", 0, 0]]], "name": "convolution2d_98"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_98", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_98", 0, 0]]], "name": "batchnormalization_98"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_98"}, "inbound_nodes": [[["batchnormalization_98", 0, 0]]], "name": "activation_98"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_99", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_98", 0, 0]]], "name": "convolution2d_99"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_99", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_99", 0, 0]]], "name": "batchnormalization_99"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_99", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_99", 0, 0]]], "name": "lambda_99"}, {"class_name": "Merge", "config": {"name": "merge_49", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_99", 0, 0], ["lambda_98", 0, 0]]], "name": "merge_49"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_99"}, "inbound_nodes": [[["merge_49", 0, 0]]], "name": "activation_99"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_100", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_99", 0, 0], ["lambda_98", 0, 0]]], "name": "lambda_100"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_100", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_100", 0, 0]]], "name": "convolution2d_100"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_100", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_100", 0, 0]]], "name": "batchnormalization_100"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_100"}, "inbound_nodes": [[["batchnormalization_100", 0, 0]]], "name": "activation_100"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_101", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_100", 0, 0]]], "name": "convolution2d_101"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_101", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_101", 0, 0]]], "name": "batchnormalization_101"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_101", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_101", 0, 0]]], "name": "lambda_101"}, {"class_name": "Merge", "config": {"name": "merge_50", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_101", 0, 0], ["lambda_100", 0, 0]]], "name": "merge_50"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_101"}, "inbound_nodes": [[["merge_50", 0, 0]]], "name": "activation_101"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_102", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_101", 0, 0], ["lambda_100", 0, 0]]], "name": "lambda_102"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_102", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_102", 0, 0]]], "name": "convolution2d_102"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_102", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_102", 0, 0]]], "name": "batchnormalization_102"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_102"}, "inbound_nodes": [[["batchnormalization_102", 0, 0]]], "name": "activation_102"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_103", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_102", 0, 0]]], "name": "convolution2d_103"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_103", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_103", 0, 0]]], "name": "batchnormalization_103"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_103", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_103", 0, 0]]], "name": "lambda_103"}, {"class_name": "Merge", "config": {"name": "merge_51", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_103", 0, 0], ["lambda_102", 0, 0]]], "name": "merge_51"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_103"}, "inbound_nodes": [[["merge_51", 0, 0]]], "name": "activation_103"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_104", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_103", 0, 0], ["lambda_102", 0, 0]]], "name": "lambda_104"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_104", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_104", 0, 0]]], "name": "convolution2d_104"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_104", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_104", 0, 0]]], "name": "batchnormalization_104"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_104"}, "inbound_nodes": [[["batchnormalization_104", 0, 0]]], "name": "activation_104"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_105", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_104", 0, 0]]], "name": "convolution2d_105"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_105", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_105", 0, 0]]], "name": "batchnormalization_105"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_105", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_105", 0, 0]]], "name": "lambda_105"}, {"class_name": "Merge", "config": {"name": "merge_52", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_105", 0, 0], ["lambda_104", 0, 0]]], "name": "merge_52"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_105"}, "inbound_nodes": [[["merge_52", 0, 0]]], "name": "activation_105"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_106", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_105", 0, 0], ["lambda_104", 0, 0]]], "name": "lambda_106"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_106", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_106", 0, 0]]], "name": "convolution2d_106"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_106", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_106", 0, 0]]], "name": "batchnormalization_106"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_106"}, "inbound_nodes": [[["batchnormalization_106", 0, 0]]], "name": "activation_106"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_107", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_106", 0, 0]]], "name": "convolution2d_107"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_107", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_107", 0, 0]]], "name": "batchnormalization_107"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_107", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_107", 0, 0]]], "name": "lambda_107"}, {"class_name": "Merge", "config": {"name": "merge_53", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_107", 0, 0], ["lambda_106", 0, 0]]], "name": "merge_53"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_107"}, "inbound_nodes": [[["merge_53", 0, 0]]], "name": "activation_107"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_108", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_107", 0, 0], ["lambda_106", 0, 0]]], "name": "lambda_108"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_108", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["lambda_108", 0, 0]]], "name": "convolution2d_108"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_108", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_108", 0, 0]]], "name": "batchnormalization_108"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_108"}, "inbound_nodes": [[["batchnormalization_108", 0, 0]]], "name": "activation_108"}, {"class_name": "Convolution2D", "config": {"W_constraint": null, "b_constraint": null, "name": "convolution2d_109", "activity_regularizer": null, "trainable": true, "dim_ordering": "th", "nb_col": 3, "subsample": [1, 1], "init": "glorot_uniform", "bias": true, "nb_filter": 64, "border_mode": "same", "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "linear", "nb_row": 3}, "inbound_nodes": [[["activation_108", 0, 0]]], "name": "convolution2d_109"}, {"class_name": "BatchNormalization", "config": {"name": "batchnormalization_109", "epsilon": 1e-06, "trainable": true, "mode": 0, "momentum": 0.9, "axis": 1}, "inbound_nodes": [[["convolution2d_109", 0, 0]]], "name": "batchnormalization_109"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0003\u0000\u0000\u0000\u0013`\u0001\u0000s\u0014\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000\u0014|\u0000\u0000\u0083\u0002\u0000S(\u0001\u0000\u0000\u0000N(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\r\u0000\u0000\u0000in_test_phase(\u0001\u0000\u0000\u0000t\u0001\u0000\u0000\u0000c(\u0001\u0000\u0000\u0000t\u0005\u0000\u0000\u0000scale(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>M\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_109", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["batchnormalization_109", 0, 0]]], "name": "lambda_109"}, {"class_name": "Merge", "config": {"name": "merge_54", "concat_axis": -1, "mode_type": "raw", "dot_axes": [-1, -1], "mode": "sum", "output_shape": null, "output_shape_type": "raw"}, "inbound_nodes": [[["lambda_109", 0, 0], ["lambda_108", 0, 0]]], "name": "merge_54"}, {"class_name": "Activation", "config": {"activation": "relu", "trainable": true, "name": "activation_109"}, "inbound_nodes": [[["merge_54", 0, 0]]], "name": "activation_109"}, {"class_name": "Lambda", "config": {"function": "c\u0001\u0000\u0000\u0000\u0001\u0000\u0000\u0000\u0005\u0000\u0000\u0000\u0013`\u0001\u0000s\u001b\u0000\u0000\u0000t\u0000\u0000j\u0001\u0000\u0088\u0000\u0000|\u0000\u0000d\u0001\u0000\u0019|\u0000\u0000d\u0002\u0000\u0019\u0083\u0003\u0000S(\u0003\u0000\u0000\u0000Ni\u0000\u0000\u0000\u0000i\u0001\u0000\u0000\u0000(\u0002\u0000\u0000\u0000t\u0001\u0000\u0000\u0000Kt\u0006\u0000\u0000\u0000switch(\u0001\u0000\u0000\u0000t\u0007\u0000\u0000\u0000tensors(\u0001\u0000\u0000\u0000t\u0004\u0000\u0000\u0000gate(\u0000\u0000\u0000\u0000s\b\u0000\u0000\u0000train.pyt\b\u0000\u0000\u0000<lambda>U\u0000\u0000\u0000s\u0000\u0000\u0000\u0000", "name": "lambda_110", "trainable": true, "function_type": "lambda", "arguments": {}, "output_shape": [64, 8, 8], "output_shape_type": "raw"}, "inbound_nodes": [[["activation_109", 0, 0], ["lambda_108", 0, 0]]], "name": "lambda_110"}, {"class_name": "AveragePooling2D", "config": {"name": "averagepooling2d_3", "trainable": true, "dim_ordering": "th", "pool_size": [8, 8], "strides": [8, 8], "border_mode": "valid"}, "inbound_nodes": [[["lambda_110", 0, 0]]], "name": "averagepooling2d_3"}, {"class_name": "Flatten", "config": {"trainable": true, "name": "flatten_1"}, "inbound_nodes": [[["averagepooling2d_3", 0, 0]]], "name": "flatten_1"}, {"class_name": "Dense", "config": {"W_constraint": null, "b_constraint": null, "name": "dense_1", "activity_regularizer": null, "trainable": true, "init": "glorot_uniform", "bias": true, "input_dim": null, "b_regularizer": null, "W_regularizer": {"l2": 9.999999747378752e-05, "name": "WeightRegularizer", "l1": 0.0}, "activation": "softmax", "output_dim": 10}, "inbound_nodes": [[["flatten_1", 0, 0]]], "name": "dense_1"}], "input_layers": [["input_1", 0, 0]], "output_layers": [["dense_1", 0, 0]], "name": "model_1"}, "sample_weight_mode": null}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment