Searched refs:branch_a (Results 1 – 7 of 7) sorted by relevance
/external/tensorflow/tensorflow/python/keras/tests/ |
D | model_subclassing_test_util.py | 45 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'))
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D | temporal_sample_weights_correctness_test.py | 53 branch_a = [inp_1, x, out_1] 55 return testing_utils.get_multi_io_model(branch_a, branch_b)
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/external/tensorflow/tensorflow/python/keras/ |
D | testing_utils.py | 670 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:
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D | metrics_correctness_test.py | 43 branch_a = [inp_1, x, out_1] 45 return testing_utils.get_multi_io_model(branch_a, branch_b)
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/external/tensorflow/tensorflow/python/keras/saving/ |
D | saving_utils_test.py | 124 branch_a = [input_a, dense] 127 model = testing_utils.get_multi_io_model(branch_a, branch_b)
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/external/tensorflow/tensorflow/python/keras/engine/ |
D | training_dataset_test.py | 162 branch_a = [input_a, dense] 165 model = testing_utils.get_multi_io_model(branch_a, branch_b)
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D | training_test.py | 282 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)
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