/frameworks/ml/nn/runtime/test/specs/V1_3/ |
D | qlstm_noprojection.mod.py | 69 cell_clip = Float32Scalar("cell_clip", 0.) variable 91 cell_layer_norm_weights, output_layer_norm_weights, cell_clip, projection_clip,
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D | qlstm_projection.mod.py | 69 cell_clip = Float32Scalar("cell_clip", 0.) variable 91 cell_layer_norm_weights, output_layer_norm_weights, cell_clip, projection_clip,
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D | bidirectional_sequence_lstm_state_output.mod.py | 227 cell_clip = Float32Scalar("cell_clip", 0.0) 283 cell_clip,
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D | bidirectional_sequence_lstm.mod.py | 239 cell_clip = Float32Scalar("cell_clip", 0.0) 295 cell_clip,
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/frameworks/ml/nn/runtime/test/specs/V1_2/ |
D | bidirectional_sequence_lstm_float16_batch_major_merge_outputs.mod.py | 211 cell_clip = Float16Scalar("cell_clip", 0.0) 266 activation, cell_clip, proj_clip, merge_outputs, time_major,
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D | bidirectional_sequence_lstm_cifg_peephole.mod.py | 211 cell_clip = Float32Scalar("cell_clip", 0.0) 266 activation, cell_clip, proj_clip, merge_outputs, time_major,
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D | bidirectional_sequence_lstm_float16_batch_major.mod.py | 211 cell_clip = Float16Scalar("cell_clip", 0.0) 266 activation, cell_clip, proj_clip, merge_outputs, time_major,
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D | bidirectional_sequence_lstm_merge_outputs.mod.py | 210 cell_clip = Float32Scalar("cell_clip", 0.0) 265 activation, cell_clip, proj_clip, merge_outputs, time_major,
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D | bidirectional_sequence_lstm.mod.py | 211 cell_clip = Float32Scalar("cell_clip", 0.0) 266 activation, cell_clip, proj_clip, merge_outputs, time_major,
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D | bidirectional_sequence_lstm_aux_input.mod.py | 213 cell_clip = Float32Scalar("cell_clip", 0.0) 268 activation, cell_clip, proj_clip, merge_outputs, time_major,
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D | bidirectional_sequence_lstm_norm_fw_output.mod.py | 212 cell_clip = Float32Scalar("cell_clip", 0.0) 267 activation, cell_clip, proj_clip, merge_outputs, time_major,
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D | bidirectional_sequence_lstm_float16_batch_major_aux_input.mod.py | 214 cell_clip = Float16Scalar("cell_clip", 0.0) 269 activation, cell_clip, proj_clip, merge_outputs, time_major,
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/frameworks/ml/nn/common/operations/ |
D | LayerNormLSTMTest.cpp | 88 bool use_projection_bias, float cell_clip, float proj_clip, in LayerNormLSTMOpModel() argument 97 cell_clip_(cell_clip), in LayerNormLSTMOpModel()
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D | LSTM.cpp | 93 params_.cell_clip = getScalarDataWithDefault<float>(cellClipOperand, 0.0f); in LSTMCell() 96 params_.cell_clip = in LSTMCell() 155 NN_CHECK(params->cell_clip >= 0); in CheckInputTensorDimensions() 944 if (params.cell_clip > 0.0) { in LSTMStep() 945 tflite::tensor_utils::ClipVector(cell_state_out_buffer, n_batch * n_cell, params.cell_clip, in LSTMStep()
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D | LSTMTest.cpp | 81 bool use_projection_bias, float cell_clip, float proj_clip, in LSTMOpModel() argument 90 cell_clip_(cell_clip), in LSTMOpModel()
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D | LSTM.h | 34 float cell_clip; member
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D | BidirectionalSequenceLSTM.cpp | 178 params_.cell_clip = getScalarDataWithDefault<float>(clipOperand, 0.0f); in BidirectionalSequenceLSTM() 181 params_.cell_clip = in BidirectionalSequenceLSTM()
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D | UnidirectionalSequenceLSTM.cpp | 106 params.cell_clip = static_cast<float>(context->getInputValue<T>(kCellClipParam)); in getLSTMParams()
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/frameworks/ml/nn/runtime/test/ |
D | TestValidateOperations.cpp | 4365 ANeuralNetworksOperandType cell_clip = float32Scalar; in TEST() local 4403 cell_clip, in TEST()
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/frameworks/ml/nn/tools/api/ |
D | types.spec | 1606 * that values are bound within [-cell_clip, cell_clip]. If set to 0.0
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