James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 1 | // |
Teresa Charlin | 8d23636 | 2020-07-24 14:59:07 +0100 | [diff] [blame] | 2 | // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "NeonQLstmWorkload.hpp" |
| 7 | #include "NeonWorkloadUtils.hpp" |
| 8 | |
| 9 | #include "aclCommon/ArmComputeTensorUtils.hpp" |
| 10 | |
| 11 | #include "neon/NeonTensorHandle.hpp" |
| 12 | |
| 13 | namespace armnn |
| 14 | { |
| 15 | using namespace armcomputetensorutils; |
| 16 | |
| 17 | NeonQLstmWorkload::NeonQLstmWorkload(const QLstmQueueDescriptor& descriptor, const WorkloadInfo& info) |
| 18 | : BaseWorkload<QLstmQueueDescriptor>(descriptor, info) |
| 19 | { |
| 20 | arm_compute::LSTMParams<arm_compute::ITensor> qLstmParams; |
| 21 | |
Teresa Charlin | 8d23636 | 2020-07-24 14:59:07 +0100 | [diff] [blame] | 22 | // Mandatory params |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 23 | m_InputToForgetWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 24 | BuildArmComputeTensor(*m_InputToForgetWeightsTensor, m_Data.m_InputToForgetWeights->GetTensorInfo()); |
| 25 | |
| 26 | m_InputToCellWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 27 | BuildArmComputeTensor(*m_InputToCellWeightsTensor, m_Data.m_InputToCellWeights->GetTensorInfo()); |
| 28 | |
| 29 | m_InputToOutputWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 30 | BuildArmComputeTensor(*m_InputToOutputWeightsTensor, m_Data.m_InputToOutputWeights->GetTensorInfo()); |
| 31 | |
| 32 | m_RecurrentToForgetWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 33 | BuildArmComputeTensor(*m_RecurrentToForgetWeightsTensor, m_Data.m_RecurrentToForgetWeights->GetTensorInfo()); |
| 34 | |
| 35 | m_RecurrentToCellWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 36 | BuildArmComputeTensor(*m_RecurrentToCellWeightsTensor, m_Data.m_RecurrentToCellWeights->GetTensorInfo()); |
| 37 | |
| 38 | m_RecurrentToOutputWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 39 | BuildArmComputeTensor(*m_RecurrentToOutputWeightsTensor, m_Data.m_RecurrentToOutputWeights->GetTensorInfo()); |
| 40 | |
| 41 | m_ForgetGateBiasTensor = std::make_unique<arm_compute::Tensor>(); |
| 42 | BuildArmComputeTensor(*m_ForgetGateBiasTensor, m_Data.m_ForgetGateBias->GetTensorInfo()); |
| 43 | |
| 44 | m_CellBiasTensor = std::make_unique<arm_compute::Tensor>(); |
| 45 | BuildArmComputeTensor(*m_CellBiasTensor, m_Data.m_CellBias->GetTensorInfo()); |
| 46 | |
| 47 | m_OutputGateBiasTensor = std::make_unique<arm_compute::Tensor>(); |
| 48 | BuildArmComputeTensor(*m_OutputGateBiasTensor, m_Data.m_OutputGateBias->GetTensorInfo()); |
| 49 | |
| 50 | // Create tensors for optional params if they are enabled |
| 51 | if (m_Data.m_Parameters.m_PeepholeEnabled) |
| 52 | { |
| 53 | m_CellToInputWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 54 | |
| 55 | if (!m_Data.m_Parameters.m_CifgEnabled) |
| 56 | { |
| 57 | // In ACL this is categorised as a CIFG param and not a Peephole param |
| 58 | BuildArmComputeTensor(*m_CellToInputWeightsTensor, m_Data.m_CellToInputWeights->GetTensorInfo()); |
| 59 | } |
| 60 | |
| 61 | m_CellToForgetWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 62 | BuildArmComputeTensor(*m_CellToForgetWeightsTensor, m_Data.m_CellToForgetWeights->GetTensorInfo()); |
| 63 | |
| 64 | m_CellToOutputWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 65 | BuildArmComputeTensor(*m_CellToOutputWeightsTensor, m_Data.m_CellToOutputWeights->GetTensorInfo()); |
| 66 | |
| 67 | // Set Peephole params |
| 68 | qLstmParams.set_peephole_params(m_CellToForgetWeightsTensor.get(), |
| 69 | m_CellToOutputWeightsTensor.get()); |
| 70 | } |
| 71 | |
| 72 | if (m_Data.m_Parameters.m_ProjectionEnabled) |
| 73 | { |
| 74 | m_ProjectionWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 75 | BuildArmComputeTensor(*m_ProjectionWeightsTensor, m_Data.m_ProjectionWeights->GetTensorInfo()); |
| 76 | |
| 77 | m_ProjectionBiasTensor = std::make_unique<arm_compute::Tensor>(); |
| 78 | if (m_Data.m_ProjectionBias != nullptr) |
| 79 | { |
| 80 | BuildArmComputeTensor(*m_ProjectionBiasTensor, m_Data.m_ProjectionBias->GetTensorInfo()); |
| 81 | } |
| 82 | |
| 83 | // Set projection params |
| 84 | qLstmParams.set_projection_params( |
Teresa Charlin | 8d23636 | 2020-07-24 14:59:07 +0100 | [diff] [blame] | 85 | m_ProjectionWeightsTensor.get(), |
| 86 | m_Data.m_ProjectionBias != nullptr ? m_ProjectionBiasTensor.get() : nullptr); |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 87 | } |
| 88 | |
| 89 | if (m_Data.m_Parameters.m_LayerNormEnabled) |
| 90 | { |
| 91 | m_InputLayerNormWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 92 | |
| 93 | if (!m_Data.m_Parameters.m_CifgEnabled) |
| 94 | { |
| 95 | BuildArmComputeTensor(*m_InputLayerNormWeightsTensor, m_Data.m_InputLayerNormWeights->GetTensorInfo()); |
| 96 | } |
| 97 | |
| 98 | m_ForgetLayerNormWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 99 | BuildArmComputeTensor(*m_ForgetLayerNormWeightsTensor, m_Data.m_ForgetLayerNormWeights->GetTensorInfo()); |
| 100 | |
| 101 | m_CellLayerNormWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 102 | BuildArmComputeTensor(*m_CellLayerNormWeightsTensor, m_Data.m_CellLayerNormWeights->GetTensorInfo()); |
| 103 | |
| 104 | m_OutputLayerNormWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 105 | BuildArmComputeTensor(*m_OutputLayerNormWeightsTensor, m_Data.m_OutputLayerNormWeights->GetTensorInfo()); |
| 106 | |
| 107 | // Set layer norm params |
| 108 | qLstmParams.set_layer_normalization_params( |
Teresa Charlin | 8d23636 | 2020-07-24 14:59:07 +0100 | [diff] [blame] | 109 | m_Data.m_InputLayerNormWeights != nullptr ? m_InputLayerNormWeightsTensor.get() : nullptr, |
| 110 | m_ForgetLayerNormWeightsTensor.get(), |
| 111 | m_CellLayerNormWeightsTensor.get(), |
| 112 | m_OutputLayerNormWeightsTensor.get()); |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 113 | } |
| 114 | |
| 115 | if (!m_Data.m_Parameters.m_CifgEnabled) |
| 116 | { |
| 117 | m_InputToInputWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 118 | BuildArmComputeTensor(*m_InputToInputWeightsTensor, m_Data.m_InputToInputWeights->GetTensorInfo()); |
| 119 | |
| 120 | m_RecurrentToInputWeightsTensor = std::make_unique<arm_compute::Tensor>(); |
| 121 | BuildArmComputeTensor(*m_RecurrentToInputWeightsTensor, m_Data.m_RecurrentToInputWeights->GetTensorInfo()); |
| 122 | |
| 123 | m_InputGateBiasTensor = std::make_unique<arm_compute::Tensor>(); |
| 124 | BuildArmComputeTensor(*m_InputGateBiasTensor, m_Data.m_InputGateBias->GetTensorInfo()); |
| 125 | |
| 126 | // Set CIFG params |
| 127 | qLstmParams.set_cifg_params( |
Teresa Charlin | 8d23636 | 2020-07-24 14:59:07 +0100 | [diff] [blame] | 128 | m_InputToInputWeightsTensor.get(), |
| 129 | m_RecurrentToInputWeightsTensor.get(), |
| 130 | m_Data.m_CellToInputWeights != nullptr ? m_CellToInputWeightsTensor.get() : nullptr, |
| 131 | m_InputGateBiasTensor.get()); |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 132 | } |
| 133 | |
Teresa Charlin | 8d23636 | 2020-07-24 14:59:07 +0100 | [diff] [blame] | 134 | // Input/Output tensors |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 135 | const arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
Nikhil Raj | f3c2718 | 2020-09-24 17:58:34 +0100 | [diff] [blame] | 136 | arm_compute::ITensor& outputStateIn = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 137 | const arm_compute::ITensor& cellStateIn = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[2])->GetTensor(); |
| 138 | |
| 139 | arm_compute::ITensor& outputStateOut = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| 140 | arm_compute::ITensor& cellStateOut = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[1])->GetTensor(); |
| 141 | arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[2])->GetTensor(); |
| 142 | |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 143 | // Set scalar descriptor params |
| 144 | qLstmParams.set_cell_clip_params(m_Data.m_Parameters.m_CellClip); |
| 145 | qLstmParams.set_projection_clip_params(m_Data.m_Parameters.m_ProjectionClip); |
| 146 | qLstmParams.set_hidden_state_params(m_Data.m_Parameters.m_HiddenStateZeroPoint, |
| 147 | m_Data.m_Parameters.m_HiddenStateScale); |
| 148 | qLstmParams.set_matmul_scale_params(m_Data.m_Parameters.m_InputIntermediateScale, |
| 149 | m_Data.m_Parameters.m_ForgetIntermediateScale, |
| 150 | m_Data.m_Parameters.m_CellIntermediateScale, |
| 151 | m_Data.m_Parameters.m_OutputIntermediateScale); |
| 152 | |
| 153 | // QLSTM NEON configure |
| 154 | m_QLstmLayer.configure(&input, |
| 155 | m_InputToForgetWeightsTensor.get(), |
| 156 | m_InputToCellWeightsTensor.get(), |
| 157 | m_InputToOutputWeightsTensor.get(), |
| 158 | m_RecurrentToForgetWeightsTensor.get(), |
| 159 | m_RecurrentToCellWeightsTensor.get(), |
| 160 | m_RecurrentToOutputWeightsTensor.get(), |
| 161 | m_ForgetGateBiasTensor.get(), |
| 162 | m_CellBiasTensor.get(), |
| 163 | m_OutputGateBiasTensor.get(), |
| 164 | &cellStateIn, |
| 165 | &outputStateIn, |
| 166 | &cellStateOut, |
| 167 | &outputStateOut, |
| 168 | &output, |
| 169 | qLstmParams); |
| 170 | |
| 171 | // Initialise ACL tensor data for mandatory params |
| 172 | InitializeArmComputeTensorData(*m_InputToForgetWeightsTensor, m_Data.m_InputToForgetWeights); |
| 173 | InitializeArmComputeTensorData(*m_InputToCellWeightsTensor, m_Data.m_InputToCellWeights); |
| 174 | InitializeArmComputeTensorData(*m_InputToOutputWeightsTensor, m_Data.m_InputToOutputWeights); |
| 175 | |
| 176 | InitializeArmComputeTensorData(*m_RecurrentToForgetWeightsTensor, m_Data.m_RecurrentToForgetWeights); |
| 177 | InitializeArmComputeTensorData(*m_RecurrentToCellWeightsTensor, m_Data.m_RecurrentToCellWeights); |
| 178 | InitializeArmComputeTensorData(*m_RecurrentToOutputWeightsTensor, m_Data.m_RecurrentToOutputWeights); |
| 179 | |
| 180 | InitializeArmComputeTensorData(*m_ForgetGateBiasTensor, m_Data.m_ForgetGateBias); |
| 181 | InitializeArmComputeTensorData(*m_CellBiasTensor, m_Data.m_CellBias); |
| 182 | InitializeArmComputeTensorData(*m_OutputGateBiasTensor, m_Data.m_OutputGateBias); |
| 183 | |
| 184 | // Initialise ACL tensor data for optional params |
| 185 | if (!m_Data.m_Parameters.m_CifgEnabled) |
| 186 | { |
| 187 | InitializeArmComputeTensorData(*m_InputToInputWeightsTensor, m_Data.m_InputToInputWeights); |
| 188 | InitializeArmComputeTensorData(*m_RecurrentToInputWeightsTensor, m_Data.m_RecurrentToInputWeights); |
| 189 | InitializeArmComputeTensorData(*m_InputGateBiasTensor, m_Data.m_InputGateBias); |
| 190 | } |
| 191 | |
| 192 | if (m_Data.m_Parameters.m_ProjectionEnabled) |
| 193 | { |
| 194 | InitializeArmComputeTensorData(*m_ProjectionWeightsTensor, m_Data.m_ProjectionWeights); |
| 195 | |
| 196 | if (m_Data.m_ProjectionBias != nullptr) |
| 197 | { |
| 198 | InitializeArmComputeTensorData(*m_ProjectionBiasTensor, m_Data.m_ProjectionBias); |
| 199 | } |
| 200 | } |
| 201 | |
| 202 | if (m_Data.m_Parameters.m_PeepholeEnabled) |
| 203 | { |
| 204 | if (!m_Data.m_Parameters.m_CifgEnabled) |
| 205 | { |
| 206 | InitializeArmComputeTensorData(*m_CellToInputWeightsTensor, m_Data.m_CellToInputWeights); |
| 207 | } |
| 208 | |
| 209 | InitializeArmComputeTensorData(*m_CellToForgetWeightsTensor, m_Data.m_CellToForgetWeights); |
| 210 | InitializeArmComputeTensorData(*m_CellToOutputWeightsTensor, m_Data.m_CellToOutputWeights); |
| 211 | } |
| 212 | |
| 213 | if (m_Data.m_Parameters.m_LayerNormEnabled) |
| 214 | { |
| 215 | if (!m_Data.m_Parameters.m_CifgEnabled) |
| 216 | { |
| 217 | InitializeArmComputeTensorData(*m_InputLayerNormWeightsTensor, m_Data.m_InputLayerNormWeights); |
| 218 | } |
| 219 | |
| 220 | InitializeArmComputeTensorData(*m_ForgetLayerNormWeightsTensor, m_Data.m_ForgetLayerNormWeights); |
| 221 | InitializeArmComputeTensorData(*m_CellLayerNormWeightsTensor, m_Data.m_CellLayerNormWeights); |
| 222 | InitializeArmComputeTensorData(*m_OutputLayerNormWeightsTensor, m_Data.m_OutputLayerNormWeights); |
| 223 | } |
| 224 | |
| 225 | // QLSTM NEON prepare |
| 226 | m_QLstmLayer.prepare(); |
| 227 | |
| 228 | FreeUnusedTensors(); |
| 229 | } |
| 230 | |
| 231 | void NeonQLstmWorkload::Execute() const |
| 232 | { |
| 233 | m_QLstmLayer.run(); |
| 234 | } |
| 235 | |
| 236 | arm_compute::Status NeonQLstmWorkloadValidate(const TensorInfo& input, |
| 237 | const TensorInfo& cellStateIn, |
| 238 | const TensorInfo& outputStateIn, |
| 239 | const TensorInfo& cellStateOut, |
| 240 | const TensorInfo& outputStateOut, |
| 241 | const TensorInfo& output, |
| 242 | const QLstmDescriptor& descriptor, |
| 243 | const LstmInputParamsInfo& paramsInfo) |
| 244 | { |
| 245 | arm_compute::LSTMParams<arm_compute::ITensorInfo> aclParamsInfo; |
| 246 | |
| 247 | // Input/Output tensor info |
| 248 | const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input); |
| 249 | const arm_compute::TensorInfo aclOutputStateInInfo = BuildArmComputeTensorInfo(outputStateIn); |
| 250 | const arm_compute::TensorInfo aclCellStateInInfo = BuildArmComputeTensorInfo(cellStateIn); |
| 251 | |
| 252 | const arm_compute::TensorInfo aclOutputStateOutInfo = BuildArmComputeTensorInfo(outputStateOut); |
| 253 | const arm_compute::TensorInfo aclCellStateOutInfo = BuildArmComputeTensorInfo(cellStateOut); |
Teresa Charlin | 8d23636 | 2020-07-24 14:59:07 +0100 | [diff] [blame] | 254 | const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 255 | |
| 256 | // Mandatory tensor info |
| 257 | const arm_compute::TensorInfo aclInputToForgetWeightsInfo |
| 258 | = BuildArmComputeTensorInfo(paramsInfo.GetInputToForgetWeights()); |
| 259 | const arm_compute::TensorInfo aclInputToCellWeightsInfo |
| 260 | = BuildArmComputeTensorInfo(paramsInfo.GetInputToCellWeights()); |
| 261 | const arm_compute::TensorInfo aclInputToOutputWeightsInfo |
| 262 | = BuildArmComputeTensorInfo(paramsInfo.GetInputToOutputWeights()); |
| 263 | const arm_compute::TensorInfo aclRecurrentToForgetWeightsInfo |
| 264 | = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToForgetWeights()); |
| 265 | const arm_compute::TensorInfo aclRecurrentToCellWeightsInfo |
| 266 | = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToCellWeights()); |
| 267 | const arm_compute::TensorInfo aclRecurrentToOutputWeightsInfo |
| 268 | = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToOutputWeights()); |
| 269 | const arm_compute::TensorInfo aclForgetGateBiasInfo |
| 270 | = BuildArmComputeTensorInfo(paramsInfo.GetForgetGateBias()); |
| 271 | const arm_compute::TensorInfo aclCellBiasInfo |
| 272 | = BuildArmComputeTensorInfo(paramsInfo.GetCellBias()); |
| 273 | const arm_compute::TensorInfo aclOutputGateBiasInfo |
| 274 | = BuildArmComputeTensorInfo(paramsInfo.GetOutputGateBias()); |
| 275 | |
| 276 | // Optional tensor info |
| 277 | arm_compute::TensorInfo aclInputToInputWeightsInfo; |
| 278 | arm_compute::TensorInfo aclRecurrentToInputWeightsInfo; |
| 279 | |
| 280 | arm_compute::TensorInfo aclCellToInputWeightsInfo; |
| 281 | arm_compute::TensorInfo aclCellToForgetWeightsInfo; |
| 282 | arm_compute::TensorInfo aclCellToOutputWeightsInfo; |
| 283 | |
| 284 | arm_compute::TensorInfo aclInputGateBiasInfo; |
| 285 | |
| 286 | arm_compute::TensorInfo aclProjectionWeightsInfo; |
| 287 | arm_compute::TensorInfo aclProjectionBiasInfo; |
| 288 | |
| 289 | arm_compute::TensorInfo aclInputLayerNormWeightsInfo; |
| 290 | arm_compute::TensorInfo aclForgetLayerNormWeightsInfo; |
| 291 | arm_compute::TensorInfo aclCellLayerNormWeightsInfo; |
| 292 | arm_compute::TensorInfo aclOutputLayerNormWeightsInfo; |
| 293 | |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 294 | // Create tensor info for optional params if they are enabled |
| 295 | if (descriptor.m_PeepholeEnabled) |
| 296 | { |
| 297 | if (!descriptor.m_CifgEnabled) |
| 298 | { |
| 299 | aclCellToInputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellToInputWeights()); |
| 300 | } |
| 301 | |
| 302 | aclCellToForgetWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellToForgetWeights()); |
| 303 | aclCellToOutputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellToOutputWeights()); |
| 304 | |
| 305 | // Set peephole params info |
| 306 | aclParamsInfo.set_peephole_params(&aclCellToForgetWeightsInfo, |
| 307 | &aclCellToOutputWeightsInfo); |
| 308 | } |
| 309 | |
| 310 | if (descriptor.m_ProjectionEnabled) |
| 311 | { |
| 312 | aclProjectionWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetProjectionWeights()); |
| 313 | |
| 314 | if (paramsInfo.m_ProjectionBias != nullptr) |
| 315 | { |
| 316 | aclProjectionBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetProjectionBias()); |
| 317 | } |
| 318 | |
| 319 | // Set projection params info |
| 320 | aclParamsInfo.set_projection_params( |
Teresa Charlin | 8d23636 | 2020-07-24 14:59:07 +0100 | [diff] [blame] | 321 | &aclProjectionWeightsInfo, |
| 322 | paramsInfo.m_ProjectionBias != nullptr ? &aclProjectionBiasInfo : nullptr); |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 323 | } |
| 324 | |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 325 | if (descriptor.m_LayerNormEnabled) |
| 326 | { |
| 327 | if (!descriptor.m_CifgEnabled) |
| 328 | { |
| 329 | aclInputLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetInputLayerNormWeights()); |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 330 | } |
| 331 | |
| 332 | aclForgetLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetForgetLayerNormWeights()); |
| 333 | aclCellLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellLayerNormWeights()); |
| 334 | aclOutputLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetOutputLayerNormWeights()); |
| 335 | |
| 336 | // Set layer norm params info |
| 337 | aclParamsInfo.set_layer_normalization_params( |
Teresa Charlin | 8d23636 | 2020-07-24 14:59:07 +0100 | [diff] [blame] | 338 | paramsInfo.m_InputLayerNormWeights != nullptr ? &aclInputLayerNormWeightsInfo : nullptr, |
| 339 | &aclForgetLayerNormWeightsInfo, |
| 340 | &aclCellLayerNormWeightsInfo, |
| 341 | &aclOutputLayerNormWeightsInfo); |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 342 | } |
| 343 | |
| 344 | if (!descriptor.m_CifgEnabled) |
| 345 | { |
| 346 | aclInputToInputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetInputToInputWeights()); |
| 347 | aclRecurrentToInputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToInputWeights()); |
| 348 | aclInputGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetInputGateBias()); |
| 349 | |
| 350 | // Set CIFG params info |
| 351 | aclParamsInfo.set_cifg_params( |
Teresa Charlin | 8d23636 | 2020-07-24 14:59:07 +0100 | [diff] [blame] | 352 | &aclInputToInputWeightsInfo, |
| 353 | &aclRecurrentToInputWeightsInfo, |
| 354 | paramsInfo.m_CellToInputWeights != nullptr ? &aclCellToInputWeightsInfo : nullptr, |
| 355 | &aclInputGateBiasInfo); |
James Conroy | cc34093 | 2020-05-12 18:08:52 +0100 | [diff] [blame] | 356 | } |
| 357 | |
| 358 | // Set scalar descriptor params |
| 359 | aclParamsInfo.set_cell_clip_params(descriptor.m_CellClip); |
| 360 | aclParamsInfo.set_projection_clip_params(descriptor.m_ProjectionClip); |
| 361 | aclParamsInfo.set_hidden_state_params(descriptor.m_HiddenStateZeroPoint, descriptor.m_HiddenStateScale); |
| 362 | aclParamsInfo.set_matmul_scale_params(descriptor.m_InputIntermediateScale, |
| 363 | descriptor.m_ForgetIntermediateScale, |
| 364 | descriptor.m_CellIntermediateScale, |
| 365 | descriptor.m_OutputIntermediateScale); |
| 366 | |
| 367 | // QLSTM NEON validate |
| 368 | return arm_compute::NEQLSTMLayer::validate(&aclInputInfo, |
| 369 | &aclInputToForgetWeightsInfo, |
| 370 | &aclInputToCellWeightsInfo, |
| 371 | &aclInputToOutputWeightsInfo, |
| 372 | &aclRecurrentToForgetWeightsInfo, |
| 373 | &aclRecurrentToCellWeightsInfo, |
| 374 | &aclRecurrentToOutputWeightsInfo, |
| 375 | &aclForgetGateBiasInfo, |
| 376 | &aclCellBiasInfo, |
| 377 | &aclOutputGateBiasInfo, |
| 378 | &aclCellStateInInfo, |
| 379 | &aclOutputStateInInfo, |
| 380 | &aclCellStateOutInfo, |
| 381 | &aclOutputStateOutInfo, |
| 382 | &aclOutputInfo, |
| 383 | aclParamsInfo); |
| 384 | } |
| 385 | |
| 386 | void NeonQLstmWorkload::FreeUnusedTensors() |
| 387 | { |
| 388 | FreeTensorIfUnused(m_InputToInputWeightsTensor); |
| 389 | FreeTensorIfUnused(m_InputToForgetWeightsTensor); |
| 390 | FreeTensorIfUnused(m_InputToCellWeightsTensor); |
| 391 | FreeTensorIfUnused(m_InputToOutputWeightsTensor); |
| 392 | |
| 393 | FreeTensorIfUnused(m_RecurrentToInputWeightsTensor); |
| 394 | FreeTensorIfUnused(m_RecurrentToForgetWeightsTensor); |
| 395 | FreeTensorIfUnused(m_RecurrentToCellWeightsTensor); |
| 396 | FreeTensorIfUnused(m_RecurrentToOutputWeightsTensor); |
| 397 | |
| 398 | FreeTensorIfUnused(m_CellToInputWeightsTensor); |
| 399 | FreeTensorIfUnused(m_CellToForgetWeightsTensor); |
| 400 | FreeTensorIfUnused(m_CellToOutputWeightsTensor); |
| 401 | |
| 402 | FreeTensorIfUnused(m_InputGateBiasTensor); |
| 403 | FreeTensorIfUnused(m_ForgetGateBiasTensor); |
| 404 | FreeTensorIfUnused(m_CellBiasTensor); |
| 405 | FreeTensorIfUnused(m_OutputGateBiasTensor); |
| 406 | |
| 407 | FreeTensorIfUnused(m_ProjectionWeightsTensor); |
| 408 | FreeTensorIfUnused(m_ProjectionBiasTensor); |
| 409 | |
| 410 | FreeTensorIfUnused(m_InputLayerNormWeightsTensor); |
| 411 | FreeTensorIfUnused(m_ForgetLayerNormWeightsTensor); |
| 412 | FreeTensorIfUnused(m_CellLayerNormWeightsTensor); |
| 413 | FreeTensorIfUnused(m_OutputLayerNormWeightsTensor); |
| 414 | } |
| 415 | |
| 416 | } //namespace armnn |