| /external/tensorflow/tensorflow/contrib/cudnn_rnn/ops/ |
| cudnn_rnn_ops_test.cc | 43 int seq_length = 2; local
48 std::vector<int> input_shape = {seq_length, batch_size, num_units};
51 std::vector<int> output_shape = {seq_length, batch_size,
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| cudnn_rnn_ops.cc | 107 input: a 3-D tensor with the shape of [seq_length, batch_size, input_size].
116 output: a 3-D tensor with the shape of [seq_length, batch_size,
144 auto seq_length = c->Dim(input_shape, 0);
154 auto output_shape = c->MakeShape({seq_length, batch_size, output_size});
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| /external/tensorflow/tensorflow/contrib/cudnn_rnn/python/kernel_tests/ |
| cudnn_rnn_ops_benchmark.py | 47 "seq_length": 50,
53 "seq_length": 50,
59 "seq_length": 50,
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"
[all...] |
| 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,
434 input_data = array_ops.ones([seq_length, batch_size, input_size])
478 "seq_length": 10,
491 "seq_length": 10,
504 "seq_length": 10,
517 "seq_length": 2,
535 shape["input_size"], shape["batch_size"], shape["seq_length"],
542 batch_size, seq_length, dir_count, dropout, dtype
[all...] |
| cudnn_rnn_test.py | 162 def SynthesizeInput(self, seq_length, batch_size, seed=1234):
171 inputs = np.random.randn(seq_length, batch_size,
621 seq_length = 8
646 inputs, initial_state = model.SynthesizeInput(seq_length, batch_size)
732 "seq_length": 3,
739 "seq_length": 8,
746 "seq_length": 3,
753 "seq_length": 2,
761 self._TestCudnnCompatibleRnnCells(cfg["num_layers"], cfg["seq_length"],
765 def _TestCudnnCompatibleRnnCells(self, num_layers, seq_length, num_units
[all...] |
| /external/icu/icu4c/source/i18n/ |
| csr2022.cpp | 49 int32_t seq_length = (int32_t)uprv_strlen((const char *) seq); local
51 if (textLen-i >= seq_length) {
53 while(j < seq_length) {
62 i += seq_length-1;
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| /external/tensorflow/tensorflow/compiler/tests/ |
| lstm.py | 124 def RandomInputs(batch_size, seq_length, num_inputs):
129 for seq in range(seq_length):
137 def BuildLSTMLayer(batch_size, seq_length, num_inputs, num_nodes):
142 seq_length: The sequence length to unroll the LSTM layer.
155 x_seq, pad_seq = RandomInputs(batch_size, seq_length, num_inputs)
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| 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,
287 '--seq_length',
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| /external/v8/src/heap/ |
| marking.h | 213 CellPrinter() : seq_start(0), seq_type(0), seq_length(0) {}
217 seq_length++;
225 seq_length = 0;
236 if (seq_length > 0) {
238 seq_length * kBitsPerCell);
239 seq_length = 0;
248 uint32_t seq_length; member in class:v8::internal::Bitmap::CellPrinter
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| /external/tensorflow/tensorflow/stream_executor/cuda/ |
| cuda_dnn.cc | 1348 int seq_length() const { return seq_length_; } function in class:perftools::gputools::cuda::CudnnRnnSequenceTensorDescriptor
1416 int seq_length = 0; member in struct:perftools::gputools::cuda::__anon40197::RnnModelDims
[all...] |
| cuda_dnn.h | 57 createRnnSequenceTensorDescriptor(int seq_length, int batch_size,
[all...] |
| /external/tensorflow/tensorflow/contrib/cudnn_rnn/kernels/ |
| cudnn_rnn_ops.cc | 355 int seq_length; member in struct:tensorflow::TFRNNInputMode::__anon39163::CudnnModelShapes
411 model_shapes->seq_length = (*input)->dim_size(0);
443 TensorShape({model_shapes->seq_length, model_shapes->batch_size,
[all...] |
| /external/tensorflow/tensorflow/stream_executor/ |
| stream_executor_pimpl.cc | 360 StreamExecutor::createRnnSequenceTensorDescriptor(int seq_length,
368 return dnn_support->createRnnSequenceTensorDescriptor(seq_length, batch_size,
|
| stream_executor_pimpl.h | 381 createRnnSequenceTensorDescriptor(int seq_length, int batch_size,
[all...] |
| dnn.h | [all...] |
