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/external/tensorflow/tensorflow/python/keras/tests/
Dmodel_subclassing_test_util.py45 branch_a = [shared_layer]
47 branch_a.append(keras.layers.Dropout(0.5))
48 branch_a.append(keras.layers.Dense(num_classes[0], activation='softmax'))
57 branch_a, branch_b, name='test_model'))
Dtemporal_sample_weights_correctness_test.py53 branch_a = [inp_1, x, out_1]
55 return testing_utils.get_multi_io_model(branch_a, branch_b)
/external/tensorflow/tensorflow/python/keras/
Dtesting_utils.py670 def __init__(self, branch_a, branch_b, shared_input_branch=None, argument
674 self._branch_a = branch_a
752 branch_a, argument
838 inputs = branch_a[0], branch_b[0]
839 branch_a = branch_a[1:]
844 return _MultiIOSubclassModel(branch_a, branch_b, shared_input_branch,
848 return _MultiIOSubclassModelCustomBuild((lambda: branch_a),
867 for layer in branch_a:
Dmetrics_correctness_test.py43 branch_a = [inp_1, x, out_1]
45 return testing_utils.get_multi_io_model(branch_a, branch_b)
/external/tensorflow/tensorflow/python/keras/saving/
Dsaving_utils_test.py124 branch_a = [input_a, dense]
127 model = testing_utils.get_multi_io_model(branch_a, branch_b)
/external/tensorflow/tensorflow/python/keras/engine/
Dtraining_dataset_test.py162 branch_a = [input_a, dense]
165 model = testing_utils.get_multi_io_model(branch_a, branch_b)
Dtraining_test.py282 branch_a = [input_a, dense]
285 model = testing_utils.get_multi_io_model(branch_a, branch_b)
1937 branch_a = [input_a, dense]
1940 model = testing_utils.get_multi_io_model(branch_a, branch_b)
2913 branch_a = [inp_1, x, out_1]
2915 model = testing_utils.get_multi_io_model(branch_a, branch_b)