/external/tensorflow/tensorflow/contrib/cudnn_rnn/python/kernel_tests/ |
D | cudnn_rnn_ops_benchmark.py | 68 seq_length = config["seq_length"] 70 return "y%d_u%d_b%d_q%d" % (num_layers, num_units, batch_size, seq_length) 94 seq_length = config["seq_length"] 100 array_ops.ones([seq_length, batch_size, num_units])) 126 seq_length = config["seq_length"] 129 inputs = array_ops.zeros([batch_size, seq_length, num_units], 150 seq_length = config["seq_length"] 153 inputs = array_ops.zeros([batch_size, seq_length, num_units],
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D | cudnn_rnn_ops_test.py | 296 seq_length = 10 318 np.random.randn(seq_length, batch_size, input_size), dtype=dtype) 420 batch_size, seq_length, dir_count, dropout, argument 434 input_data = array_ops.ones([seq_length, batch_size, input_size]) 542 batch_size, seq_length, dir_count, dropout, dtype, argument 564 [seq_length, batch_size, input_size], dtype=dtype), 598 (input_data, [seq_length, batch_size, input_size]),
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D | cudnn_rnn_test.py | 162 def SynthesizeInput(self, seq_length, batch_size, seed=1234): argument 171 inputs = np.random.randn(seq_length, batch_size, 621 seq_length = 8 646 inputs, initial_state = model.SynthesizeInput(seq_length, batch_size) 765 def _TestCudnnCompatibleRnnCells(self, num_layers, seq_length, num_units, argument 793 inputs, _ = model.SynthesizeInput(seq_length, batch_size, seed) 822 inference_input = np.random.rand(seq_length, batch_size, 835 dtype, shape=[seq_length, batch_size, input_size]) 1047 batch_size, seq_length, dir_count, dropout, dtype, argument 1076 [seq_length, batch_size, input_size], dtype=dtype),
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/external/icu/icu4c/source/i18n/ |
D | csr2022.cpp | 49 int32_t seq_length = (int32_t)uprv_strlen((const char *) seq); in match_2022() local 51 if (textLen-i >= seq_length) { in match_2022() 53 while(j < seq_length) { in match_2022() 62 i += seq_length-1; in match_2022()
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/external/tensorflow/tensorflow/contrib/cudnn_rnn/ops/ |
D | cudnn_rnn_ops_test.cc | 43 int seq_length = 2; in TEST() local 48 std::vector<int> input_shape = {seq_length, batch_size, num_units}; in TEST() 51 std::vector<int> output_shape = {seq_length, batch_size, in TEST()
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D | cudnn_rnn_ops.cc | 144 auto seq_length = c->Dim(input_shape, 0); in __anonb0631e310302() local 154 auto output_shape = c->MakeShape({seq_length, batch_size, output_size}); in __anonb0631e310302()
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/external/tensorflow/tensorflow/compiler/tests/ |
D | lstm.py | 124 def RandomInputs(batch_size, seq_length, num_inputs): argument 129 for seq in range(seq_length): 137 def BuildLSTMLayer(batch_size, seq_length, num_inputs, num_nodes): argument 155 x_seq, pad_seq = RandomInputs(batch_size, seq_length, num_inputs)
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D | lstm_test.py | 142 seq_length = 3 147 x_seq = [constant_op.constant(self._inputs)] * seq_length 162 seq_length = 3 167 x_seq = [constant_op.constant(self._inputs)] * seq_length 169 ] * seq_length 242 out_seq, weights = lstm.BuildLSTMLayer(FLAGS.batch_size, FLAGS.seq_length, 252 '%s_%d_%d_%d_%d' % (name, FLAGS.batch_size, FLAGS.seq_length,
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/external/v8/src/heap/ |
D | marking.h | 213 CellPrinter() : seq_start(0), seq_type(0), seq_length(0) {} in CellPrinter() 217 seq_length++; in Print() 225 seq_length = 0; in Print() 236 if (seq_length > 0) { in Flush() 238 seq_length * kBitsPerCell); in Flush() 239 seq_length = 0; in Flush() 248 uint32_t seq_length; variable
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/external/tensorflow/tensorflow/stream_executor/cuda/ |
D | cuda_dnn.cc | 1305 CudnnRnnSequenceTensorDescriptor(CUDAExecutor* parent, int seq_length, in CudnnRnnSequenceTensorDescriptor() argument 1309 seq_length_(seq_length), in CudnnRnnSequenceTensorDescriptor() 1314 if (seq_length <= 0) { in CudnnRnnSequenceTensorDescriptor() 1316 port::StrCat("sequence length must be positive: ", seq_length); in CudnnRnnSequenceTensorDescriptor() 1331 handles_.assign(seq_length, handle); in CudnnRnnSequenceTensorDescriptor() 1348 int seq_length() const { return seq_length_; } in seq_length() function in perftools::gputools::cuda::CudnnRnnSequenceTensorDescriptor 1416 int seq_length = 0; member 1440 model_dims->seq_length = input_desc.seq_length(); in ExtractAndCheckRnnForward() 1460 if (!(output_desc.seq_length() == model_dims->seq_length && in ExtractAndCheckRnnForward() 1509 input_desc.seq_length() /*seqLength*/, input_desc.handles() /*xDesc*/, in CreateRnnWorkspace() [all …]
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D | cuda_dnn.h | 57 createRnnSequenceTensorDescriptor(int seq_length, int batch_size,
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/external/tensorflow/tensorflow/contrib/cudnn_rnn/kernels/ |
D | cudnn_rnn_ops.cc | 355 int seq_length; member 411 model_shapes->seq_length = (*input)->dim_size(0); in ExtractForwardInput() 443 TensorShape({model_shapes->seq_length, model_shapes->batch_size, in ExtractForwardInput()
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/external/tensorflow/tensorflow/stream_executor/ |
D | stream_executor_pimpl.cc | 360 StreamExecutor::createRnnSequenceTensorDescriptor(int seq_length, in createRnnSequenceTensorDescriptor() argument 368 return dnn_support->createRnnSequenceTensorDescriptor(seq_length, batch_size, in createRnnSequenceTensorDescriptor()
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D | stream_executor_pimpl.h | 381 createRnnSequenceTensorDescriptor(int seq_length, int batch_size,
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D | dnn.h | 1993 createRnnSequenceTensorDescriptor(int seq_length, int batch_size,
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