Searched defs:tensor (Results 1 – 8 of 8) sorted by relevance
/frameworks/ml/nn/runtime/test/specs/V1_3/ |
D | bidirectional_sequence_rnn_1_3.mod.py | 20 def convert_to_time_major(tensor, tensor_shape): argument 30 def reverse_batch_major(tensor, tensor_shape): argument 33 def split_tensor_in_two(tensor, tensor_shape): argument
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D | bidirectional_sequence_rnn_state_output.mod.py | 20 def convert_to_time_major(tensor, tensor_shape): argument 31 def reverse_batch_major(tensor, tensor_shape): argument 35 def split_tensor_in_two(tensor, tensor_shape): argument
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D | unidirectional_sequence_rnn.mod.py | 42 def convert_to_time_major(tensor, num_batches, max_time, input_size): argument
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/frameworks/ml/nn/runtime/test/specs/V1_2/ |
D | bidirectional_sequence_rnn.mod.py | 20 def convert_to_time_major(tensor, tensor_shape): argument 30 def reverse_batch_major(tensor, tensor_shape): argument 33 def split_tensor_in_two(tensor, tensor_shape): argument
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D | unidirectional_sequence_rnn.mod.py | 39 def convert_to_time_major(tensor, num_batches, max_time, input_size): argument
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/frameworks/ml/nn/common/operations/ |
D | QuantizedLSTMTest.cpp | 225 Result setInputTensor(Execution* execution, int tensor, const std::vector<T>& data) { in setInputTensor() 229 Result setOutputTensor(Execution* execution, int tensor, std::vector<T>* data) { in setOutputTensor()
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D | QLSTM.cpp | 98 inline bool hasTensor(IOperationExecutionContext* context, const uint32_t tensor) { in hasTensor() 173 for (const int tensor : requiredTensorInputs) { in prepare() local
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D | UnidirectionalSequenceLSTM.cpp | 93 inline bool hasTensor(IOperationExecutionContext* context, const uint32_t tensor) { in hasTensor()
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