Searched refs:n_output (Results 1 - 7 of 7) sorted by relevance

/external/tensorflow/tensorflow/contrib/lite/kernels/
H A Dlstm_test.cc35 LSTMOpModel(int n_batch, int n_input, int n_cell, int n_output, bool use_cifg, argument
42 n_output_(n_output) {
247 // n_cell and n_output have the same size when there is no projection.
249 const int n_output = 4; local
251 LSTMOpModel lstm(n_batch, n_input, n_cell, n_output,
264 {n_cell, n_output}, // recurrent_to_input_weight tensor
265 {n_cell, n_output}, // recurrent_to_forget_weight tensor
266 {n_cell, n_output}, // recurrent_to_cell_weight tensor
267 {n_cell, n_output}, // recurrent_to_output_weight tensor
357 // n_cell and n_output hav
359 const int n_output = 4; local
463 const int n_output = 16; local
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H A Dunidirectional_sequence_lstm_test.cc35 UnidirectionalLSTMOpModel(int n_batch, int n_input, int n_cell, int n_output, argument
44 n_output_(n_output),
253 // n_cell and n_output have the same size when there is no projection.
255 const int n_output = 4; local
259 n_batch, n_input, n_cell, n_output, sequence_length, /*use_cifg=*/false,
270 {n_cell, n_output}, // recurrent_to_input_weight tensor
271 {n_cell, n_output}, // recurrent_to_forget_weight tensor
272 {n_cell, n_output}, // recurrent_to_cell_weight tensor
273 {n_cell, n_output}, // recurrent_to_output_weight tensor
361 // n_cell and n_output hav
363 const int n_output = 4; local
464 const int n_output = 16; local
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H A Dunidirectional_sequence_lstm.cc45 // Recurrent weight tensors of size {n_cell, n_output}
62 // Projection weight tensor of size {n_output, n_cell}
64 // Projection bias tensor of size {n_output}
76 int n_output, int n_cell) {
112 n_output);
121 n_output);
128 n_output);
199 TF_LITE_ENSURE_EQ(context, projection_weights->dims->data[0], n_output);
207 TF_LITE_ENSURE_EQ(context, projection_bias->dims->data[0], n_output);
248 const int n_output local
74 CheckInputTensorDimensions(TfLiteContext* context, TfLiteNode* node, int n_input, int n_output, int n_cell) argument
359 const int n_output = recurrent_to_output_weights->dims->data[1]; local
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H A Dlstm.cc45 // Recurrent weight tensors of size {n_cell, n_output}
62 // Projection weight tensor of size {n_output, n_cell}
64 // Projection bias tensor of size {n_output}
76 int n_output, int n_cell) {
112 n_output);
121 n_output);
128 n_output);
199 TF_LITE_ENSURE_EQ(context, projection_weights->dims->data[0], n_output);
207 TF_LITE_ENSURE_EQ(context, projection_bias->dims->data[0], n_output);
247 const int n_output local
74 CheckInputTensorDimensions(TfLiteContext* context, TfLiteNode* node, int n_input, int n_output, int n_cell) argument
356 const int n_output = recurrent_to_output_weights->dims->data[1]; local
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H A Doptional_tensor_test.cc33 LSTMOpModel(int n_batch, int n_input, int n_cell, int n_output, bool use_cifg, argument
40 n_output_(n_output) {
249 // n_cell and n_output have the same size when there is no projection.
251 const int n_output = 4; local
253 LSTMOpModel lstm(n_batch, n_input, n_cell, n_output,
267 {n_cell, n_output}, // recurrent_to_forget_weight tensor
268 {n_cell, n_output}, // recurrent_to_cell_weight tensor
269 {n_cell, n_output}, // recurrent_to_output_weight tensor
/external/libxml2/
H A Dtestapi.c6983 int n_output; local
6987 for (n_output = 0;n_output < gen_nb_debug_FILE_ptr;n_output++) {
6990 output = gen_debug_FILE_ptr(n_output, 0);
6996 des_debug_FILE_ptr(n_output, output, 0);
7003 printf(" %d", n_output);
7023 int n_output; local
7029 for (n_output = 0;n_output < gen_nb_debug_FILE_pt
7069 int n_output; local
7115 int n_output; local
7154 int n_output; local
7193 int n_output; local
7232 int n_output; local
7271 int n_output; local
7317 int n_output; local
7363 int n_output; local
7409 int n_output; local
7482 int n_output; local
17382 int n_output; local
17421 int n_output; local
34024 int n_output; local
34328 int n_output; local
47691 int n_output; local
47737 int n_output; local
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/external/deqp/external/openglcts/modules/glesext/geometry_shader/
H A DesextcGeometryShaderRendering.cpp425 unsigned int n_output = 0; local
435 for (n_output = 0; n_output < SHADER_OUTPUT_TYPE_COUNT; ++n_output)
437 _shader_output_type output_type = (_shader_output_type)n_output;

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