| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ClQuantizedLstmWorkload.hpp" |
| #include "ClWorkloadUtils.hpp" |
| |
| #include <backendsCommon/CpuTensorHandle.hpp> |
| #include <aclCommon/ArmComputeTensorUtils.hpp> |
| #include <cl/ClTensorHandle.hpp> |
| |
| namespace armnn |
| { |
| |
| using namespace armcomputetensorutils; |
| |
| arm_compute::Status ClQuantizedLstmWorkloadValidate(const TensorInfo& input, const TensorInfo& previousCellStateIn, |
| const TensorInfo& previousOutputIn, const TensorInfo& cellStateOut, |
| const TensorInfo& output, |
| const QuantizedLstmInputParamsInfo& paramsInfo) |
| { |
| // Inputs |
| const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input); |
| const arm_compute::TensorInfo aclPreviousCellStateInInfo = BuildArmComputeTensorInfo(previousCellStateIn); |
| const arm_compute::TensorInfo aclPreviousOutputInInfo = BuildArmComputeTensorInfo(previousOutputIn); |
| |
| // Outputs |
| const arm_compute::TensorInfo aclCellStateOutInfo = BuildArmComputeTensorInfo(cellStateOut); |
| const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); |
| |
| // Basic parameters |
| const arm_compute::TensorInfo aclInputToInputWeightsInfo |
| = BuildArmComputeTensorInfo(paramsInfo.GetInputToInputWeights()); |
| const arm_compute::TensorInfo aclInputToForgetWeightsInfo |
| = BuildArmComputeTensorInfo(paramsInfo.GetInputToForgetWeights()); |
| const arm_compute::TensorInfo aclInputToCellWeightsInfo |
| = BuildArmComputeTensorInfo(paramsInfo.GetInputToCellWeights()); |
| const arm_compute::TensorInfo aclInputToOutputWeightsInfo |
| = BuildArmComputeTensorInfo(paramsInfo.GetInputToOutputWeights()); |
| const arm_compute::TensorInfo aclRecurrentToInputWeightsInfo |
| = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToInputWeights()); |
| const arm_compute::TensorInfo aclRecurrentToForgetWeightsInfo |
| = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToForgetWeights()); |
| const arm_compute::TensorInfo aclRecurrentToCellWeightsInfo |
| = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToCellWeights()); |
| const arm_compute::TensorInfo aclRecurrentToOutputWeightsInfo |
| = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToOutputWeights()); |
| const arm_compute::TensorInfo aclInputGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetInputGateBias()); |
| const arm_compute::TensorInfo aclForgetGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetForgetGateBias()); |
| const arm_compute::TensorInfo aclCellBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellBias()); |
| const arm_compute::TensorInfo aclOutputGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetOutputGateBias()); |
| |
| return arm_compute::CLLSTMLayerQuantized::validate(&aclInputInfo, &aclInputToInputWeightsInfo, |
| &aclInputToForgetWeightsInfo, &aclInputToCellWeightsInfo, |
| &aclInputToOutputWeightsInfo, &aclRecurrentToInputWeightsInfo, |
| &aclRecurrentToForgetWeightsInfo, &aclRecurrentToCellWeightsInfo, |
| &aclRecurrentToOutputWeightsInfo, &aclInputGateBiasInfo, |
| &aclForgetGateBiasInfo, &aclCellBiasInfo, &aclOutputGateBiasInfo, |
| &aclPreviousCellStateInInfo, &aclPreviousOutputInInfo, |
| &aclCellStateOutInfo, &aclOutputInfo); |
| } |
| |
| ClQuantizedLstmWorkload::ClQuantizedLstmWorkload(const QuantizedLstmQueueDescriptor &descriptor, |
| const WorkloadInfo &info): |
| BaseWorkload<QuantizedLstmQueueDescriptor>(descriptor, info) |
| { |
| m_InputToInputWeightsTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_InputToInputWeightsTensor, m_Data.m_InputToInputWeights->GetTensorInfo()); |
| |
| m_InputToForgetWeightsTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_InputToForgetWeightsTensor, m_Data.m_InputToForgetWeights->GetTensorInfo()); |
| |
| m_InputToCellWeightsTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_InputToCellWeightsTensor, m_Data.m_InputToCellWeights->GetTensorInfo()); |
| |
| m_InputToOutputWeightsTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_InputToOutputWeightsTensor, m_Data.m_InputToOutputWeights->GetTensorInfo()); |
| |
| m_RecurrentToInputWeightsTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_RecurrentToInputWeightsTensor, m_Data.m_RecurrentToInputWeights->GetTensorInfo()); |
| |
| m_RecurrentToForgetWeightsTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_RecurrentToForgetWeightsTensor, m_Data.m_RecurrentToForgetWeights->GetTensorInfo()); |
| |
| m_RecurrentToCellWeightsTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_RecurrentToCellWeightsTensor, m_Data.m_RecurrentToCellWeights->GetTensorInfo()); |
| |
| m_RecurrentToOutputWeightsTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_RecurrentToOutputWeightsTensor, m_Data.m_RecurrentToOutputWeights->GetTensorInfo()); |
| |
| m_InputGateBiasTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_InputGateBiasTensor, m_Data.m_InputGateBias->GetTensorInfo()); |
| |
| m_ForgetGateBiasTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_ForgetGateBiasTensor, m_Data.m_ForgetGateBias->GetTensorInfo()); |
| |
| m_CellBiasTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_CellBiasTensor, m_Data.m_CellBias->GetTensorInfo()); |
| |
| m_OutputGateBiasTensor = std::make_unique<arm_compute::CLTensor>(); |
| BuildArmComputeTensor(*m_OutputGateBiasTensor, m_Data.m_OutputGateBias->GetTensorInfo()); |
| |
| const arm_compute::ICLTensor& inputTensor = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); |
| arm_compute::ICLTensor& cellStateInTensor = static_cast<IClTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); |
| const arm_compute::ICLTensor& outputStateInTensor = static_cast<IClTensorHandle*>(m_Data.m_Inputs[2])->GetTensor(); |
| |
| arm_compute::ICLTensor& cellStateOutTensor = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); |
| arm_compute::ICLTensor& outputStateOutTensor = static_cast<IClTensorHandle*>(m_Data.m_Outputs[1])->GetTensor(); |
| |
| m_QuantizedLstmLayer.configure(&inputTensor, m_InputToInputWeightsTensor.get(), m_InputToForgetWeightsTensor.get(), |
| m_InputToCellWeightsTensor.get(), m_InputToOutputWeightsTensor.get(), |
| m_RecurrentToInputWeightsTensor.get(), m_RecurrentToForgetWeightsTensor.get(), |
| m_RecurrentToCellWeightsTensor.get(), m_RecurrentToOutputWeightsTensor.get(), |
| m_InputGateBiasTensor.get(), m_ForgetGateBiasTensor.get(), m_CellBiasTensor.get(), |
| m_OutputGateBiasTensor.get(), &cellStateInTensor, &outputStateInTensor, |
| &cellStateOutTensor, &outputStateOutTensor); |
| |
| InitializeArmComputeClTensorData(*m_InputToInputWeightsTensor, m_Data.m_InputToInputWeights); |
| InitializeArmComputeClTensorData(*m_InputToForgetWeightsTensor, m_Data.m_InputToForgetWeights); |
| InitializeArmComputeClTensorData(*m_InputToCellWeightsTensor, m_Data.m_InputToCellWeights); |
| InitializeArmComputeClTensorData(*m_InputToOutputWeightsTensor, m_Data.m_InputToOutputWeights); |
| InitializeArmComputeClTensorData(*m_RecurrentToInputWeightsTensor, m_Data.m_RecurrentToInputWeights); |
| InitializeArmComputeClTensorData(*m_RecurrentToForgetWeightsTensor, m_Data.m_RecurrentToForgetWeights); |
| InitializeArmComputeClTensorData(*m_RecurrentToCellWeightsTensor, m_Data.m_RecurrentToCellWeights); |
| InitializeArmComputeClTensorData(*m_RecurrentToOutputWeightsTensor, m_Data.m_RecurrentToOutputWeights); |
| InitializeArmComputeClTensorData(*m_InputGateBiasTensor, m_Data.m_InputGateBias); |
| InitializeArmComputeClTensorData(*m_ForgetGateBiasTensor, m_Data.m_ForgetGateBias); |
| InitializeArmComputeClTensorData(*m_CellBiasTensor, m_Data.m_CellBias); |
| InitializeArmComputeClTensorData(*m_OutputGateBiasTensor, m_Data.m_OutputGateBias); |
| |
| m_QuantizedLstmLayer.prepare(); |
| FreeUnusedTensors(); |
| } |
| |
| void ClQuantizedLstmWorkload::Execute() const |
| { |
| ARMNN_SCOPED_PROFILING_EVENT_CL("ClQuantizedLstmWorkload_Execute"); |
| RunClFunction(m_QuantizedLstmLayer, CHECK_LOCATION()); |
| } |
| |
| void ClQuantizedLstmWorkload::FreeUnusedTensors() |
| { |
| FreeTensorIfUnused(m_InputToInputWeightsTensor); |
| FreeTensorIfUnused(m_InputToForgetWeightsTensor); |
| FreeTensorIfUnused(m_InputToCellWeightsTensor); |
| FreeTensorIfUnused(m_InputToOutputWeightsTensor); |
| FreeTensorIfUnused(m_RecurrentToInputWeightsTensor); |
| FreeTensorIfUnused(m_RecurrentToForgetWeightsTensor); |
| FreeTensorIfUnused(m_RecurrentToCellWeightsTensor); |
| FreeTensorIfUnused(m_RecurrentToOutputWeightsTensor); |
| FreeTensorIfUnused(m_InputGateBiasTensor); |
| FreeTensorIfUnused(m_ForgetGateBiasTensor); |
| FreeTensorIfUnused(m_CellBiasTensor); |
| FreeTensorIfUnused(m_OutputGateBiasTensor); |
| } |
| |
| } // namespace armnn |