| /external/tensorflow/tensorflow/lite/kernels/ |
| D | lstm_test.cc | 39 bool use_projection_bias, float cell_clip, float proj_clip, in LSTMOpModel() argument
126 cell_clip, proj_clip) in LSTMOpModel()
274 float cell_clip, float proj_clip, in HybridLSTMOpModel() argument
279 proj_clip, input_shapes, tensor_type) { in HybridLSTMOpModel()
1636 float cell_clip, float proj_clip, in LayerNormLSTMOpModel() argument
1641 proj_clip, input_shapes, weight_type, in LayerNormLSTMOpModel()
1651 float proj_clip, in HybridLayerNormLSTMOpModel() argument
1656 use_projection_bias, cell_clip, proj_clip, in HybridLayerNormLSTMOpModel()
1873 const float proj_clip = 0.0; in TEST_F() local
1879 /*use_projection_bias=*/false, ceil_clip, proj_clip, in TEST_F()
[all …]
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| D | optional_tensor_test.cc | 35 bool use_projection_bias, float cell_clip, float proj_clip, in LSTMOpModel() argument
108 cell_clip, proj_clip) in LSTMOpModel()
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| D | lstm_eval.cc | 313 if (params->proj_clip > 0.0) { in LstmStepWithAuxInput()
315 params->proj_clip, output_ptr_batch); in LstmStepWithAuxInput()
343 if (params->proj_clip > 0.0) { in LstmStepWithAuxInput()
346 params->proj_clip, in LstmStepWithAuxInput()
791 if (params->proj_clip > 0.0) { in LstmStepWithAuxInput()
793 params->proj_clip, output_ptr_batch); in LstmStepWithAuxInput()
838 if (params->proj_clip > 0.0) { in LstmStepWithAuxInput()
842 params->proj_clip, in LstmStepWithAuxInput()
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| D | unidirectional_sequence_lstm_test.cc | 38 float proj_clip, in UnidirectionalLSTMOpModel() argument
117 proj_clip, time_major) in UnidirectionalLSTMOpModel()
246 float proj_clip, const std::vector<std::vector<int>>& input_shapes, in HybridUnidirectionalLSTMOpModel() argument
251 cell_clip, proj_clip, input_shapes, tensor_type) { in HybridUnidirectionalLSTMOpModel()
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| D | unidirectional_sequence_lstm.cc | 109 TF_LITE_ENSURE(context, params->proj_clip >= 0); in CheckInputTensorDimensions()
496 lstm_params.proj_clip = params->proj_clip; in Eval()
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| D | bidirectional_sequence_lstm_test.cc | 41 bool use_aux_input, float cell_clip, float proj_clip, in BidirectionalLSTMOpModel() argument
206 proj_clip, merge_outputs, time_major) in BidirectionalLSTMOpModel()
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| D | bidirectional_sequence_lstm.cc | 176 TF_LITE_ENSURE(context, params->proj_clip >= 0); in CheckLstmTensorDimensionsAndTypes()
882 params->proj_clip, kTfLiteLSTMFullKernel}; in Eval()
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| D | lstm.cc | 126 TF_LITE_ENSURE(context, params->proj_clip >= 0); in CheckInputTensorDimensions()
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| /external/tensorflow/tensorflow/lite/c/ |
| D | builtin_op_data.h | 199 float proj_clip; member
210 float proj_clip; member
221 float proj_clip; member
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| /external/tensorflow/tensorflow/lite/core/api/ |
| D | flatbuffer_conversions.cc | 390 params->proj_clip = lstm_params->proj_clip(); in ParseOpData()
411 params->proj_clip = seq_lstm_params->proj_clip(); in ParseOpData()
425 params->proj_clip = bidi_lstm_params->proj_clip(); in ParseOpData()
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| /external/tensorflow/tensorflow/contrib/model_pruning/python/layers/ |
| D | rnn_cells.py | 186 proj_clip=None, argument
232 proj_clip=proj_clip,
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| /external/tensorflow/tensorflow/lite/experimental/examples/lstm/ |
| D | rnn_cell.py | 196 proj_clip=None, argument
264 self._proj_clip = proj_clip
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| /external/tensorflow/tensorflow/lite/schema/ |
| D | schema.fbs | 457 proj_clip: float; // Optional, 0.0 means no clipping
468 proj_clip: float; // Optional, 0.0 means no clipping
478 proj_clip: float; // Optional, 0.0 means no clipping
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| D | schema_v0.fbs | 196 proj_clip: float; // Optional, 0.0 means no clipping
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| D | schema_v2.fbs | 217 proj_clip: float; // Optional, 0.0 means no clipping
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| D | schema_v1.fbs | 209 proj_clip: float; // Optional, 0.0 means no clipping
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| D | schema_generated.h | 3972 float proj_clip;
3977 proj_clip(0.0f),
3996 float proj_clip() const {
4024 void add_proj_clip(float proj_clip) {
4025 fbb_.AddElement<float>(LSTMOptions::VT_PROJ_CLIP, proj_clip, 0.0f);
4046 float proj_clip = 0.0f,
4049 builder_.add_proj_clip(proj_clip);
4062 float proj_clip;
4067 proj_clip(0.0f),
4086 float proj_clip() const {
[all …]
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| D | schema_v3.fbs | 227 proj_clip: float; // Optional, 0.0 means no clipping
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt | 108 …s\', \'use_peepholes\', \'cell_clip\', \'initializer\', \'num_proj\', \'proj_clip\', \'num_unit_sh…
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| D | tensorflow.lite.experimental.nn.-t-f-lite-l-s-t-m-cell.pbtxt | 108 …s\', \'use_peepholes\', \'cell_clip\', \'initializer\', \'num_proj\', \'proj_clip\', \'num_unit_sh…
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.lite.experimental.nn.-t-f-lite-l-s-t-m-cell.pbtxt | 108 …s\', \'use_peepholes\', \'cell_clip\', \'initializer\', \'num_proj\', \'proj_clip\', \'num_unit_sh…
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| /external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
| D | rnn_cell.py | 140 proj_clip=None, argument
190 self._proj_clip = proj_clip
2504 proj_clip=None, argument
2549 self._proj_clip = proj_clip
2850 proj_clip=None, argument
2886 self._proj_clip = proj_clip
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| /external/tensorflow/tensorflow/python/ops/ |
| D | rnn_cell_impl.py | 833 initializer=None, num_proj=None, proj_clip=None, argument
902 self._proj_clip = proj_clip
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| /external/tensorflow/tensorflow/contrib/lite/ |
| D | nnapi_delegate.cc | 391 add_scalar_float32(builtin->proj_clip); in AddOpsAndParams()
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| /external/tensorflow/tensorflow/lite/ |
| D | nnapi_delegate.cc | 361 add_scalar_float32(builtin->proj_clip); in AddOpsAndParams()
|