Searched refs:model_types (Results 1 – 3 of 3) sorted by relevance
/external/tensorflow/tensorflow/python/keras/ |
D | keras_parameterized_test.py | 36 model_types = [] 46 model_types.append(testing_utils.get_model_type()) 54 self.assertLen(model_types, 3) 55 self.assertAllEqual(model_types, [ 72 self.assertLen(model_types, 6) 75 model_types = [] 89 model_types.append((with_brackets, testing_utils.get_model_type())) 100 self.assertLen(model_types, 6) 101 self.assertAllEqual(model_types, [ 121 self.assertLen(model_types, 12) [all …]
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D | keras_parameterized.py | 137 model_types = ['functional', 'subclass', 'sequential'] 138 params = [('_%s' % model, model) for model in model_types
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/external/tensorflow/tensorflow/core/kernels/ |
D | cudnn_rnn_ops.cc | 562 const CudnnModelTypes& model_types, bool time_major, in ExtractForwardInput() argument 568 if (model_types.HasInputC()) { in ExtractForwardInput() 586 (model_types.rnn_direction_mode == RnnDirectionMode::kRnnBidirectional) in ExtractForwardInput() 617 if (model_types.HasInputC()) { in ExtractForwardInput() 639 const CudnnModelTypes& model_types, bool time_major, in ExtractForwardInput() argument 645 return ExtractForwardInput(context, model_types, time_major, input, input_h, in ExtractForwardInput() 729 const CudnnModelTypes& model_types, in DoForward() argument 757 if (model_types.HasInputC()) { in DoForward() 765 if (model_types.HasInputC()) { in DoForward() 783 model_types.DebugString(), ", ", model_shapes.DebugString()); in DoForward() [all …]
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