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/external/tensorflow/tensorflow/python/keras/tests/
Dmodel_subclassing_test_util.py50 branch_b = [shared_layer]
52 branch_b.append(keras.layers.BatchNormalization())
53 branch_b.append(keras.layers.Dense(num_classes[1], activation='softmax'))
57 branch_a, branch_b, name='test_model'))
Dtemporal_sample_weights_correctness_test.py54 branch_b = [inp_2, x, out_2]
55 return testing_utils.get_multi_io_model(branch_a, branch_b)
/external/autotest/client/site_tests/firmware_TouchMTB/tools/
Dcreate_version.py61 def _get_common_ancestor(branch_a, branch_b): argument
63 return _run_git_cmd('git merge-base %s %s' % (branch_a, branch_b))
/external/tensorflow/tensorflow/python/keras/
Dtesting_utils.py620 def __init__(self, branch_a, branch_b, shared_input_branch=None, argument
625 self._branch_b = branch_b
700 branch_b, argument
785 inputs = branch_a[0], branch_b[0]
787 branch_b = branch_b[1:]
791 return _MultiIOSubclassModel(branch_a, branch_b, shared_input_branch,
796 (lambda: branch_b),
816 for layer in branch_b:
Dmetrics_correctness_test.py44 branch_b = [inp_2, x, out_2]
45 return testing_utils.get_multi_io_model(branch_a, branch_b)
/external/tensorflow/tensorflow/python/keras/saving/
Dsaving_utils_test.py117 branch_b = [input_b, dense, dense2, dropout]
119 model = testing_utils.get_multi_io_model(branch_a, branch_b)
/external/tensorflow/tensorflow/python/keras/engine/
Dtraining_dataset_test.py165 branch_b = [input_b, dense, dropout]
167 model = testing_utils.get_multi_io_model(branch_a, branch_b)
Dtraining_test.py432 branch_b = [input_b, dense, dropout]
434 model = testing_utils.get_multi_io_model(branch_a, branch_b)
1963 branch_b = [input_b, dense, dropout]
1965 model = testing_utils.get_multi_io_model(branch_a, branch_b)
3135 branch_b = [inp_2, x, out_2]
3136 model = testing_utils.get_multi_io_model(branch_a, branch_b)