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Diffstat (limited to 'src/backends/neon/workloads/NeonQLstmWorkload.cpp')
| -rw-r--r-- | src/backends/neon/workloads/NeonQLstmWorkload.cpp | 421 |
1 files changed, 421 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonQLstmWorkload.cpp b/src/backends/neon/workloads/NeonQLstmWorkload.cpp new file mode 100644 index 0000000000..daa4fba393 --- /dev/null +++ b/src/backends/neon/workloads/NeonQLstmWorkload.cpp @@ -0,0 +1,421 @@ +// +// Copyright © 2020 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonQLstmWorkload.hpp" +#include "NeonWorkloadUtils.hpp" + +#include "aclCommon/ArmComputeTensorUtils.hpp" + +#include "neon/NeonTensorHandle.hpp" + +namespace armnn +{ +using namespace armcomputetensorutils; + +NeonQLstmWorkload::NeonQLstmWorkload(const QLstmQueueDescriptor& descriptor, const WorkloadInfo& info) + : BaseWorkload<QLstmQueueDescriptor>(descriptor, info) +{ + arm_compute::LSTMParams<arm_compute::ITensor> qLstmParams; + + // Mandatory tensors + m_InputToForgetWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_InputToForgetWeightsTensor, m_Data.m_InputToForgetWeights->GetTensorInfo()); + + m_InputToCellWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_InputToCellWeightsTensor, m_Data.m_InputToCellWeights->GetTensorInfo()); + + m_InputToOutputWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_InputToOutputWeightsTensor, m_Data.m_InputToOutputWeights->GetTensorInfo()); + + m_RecurrentToForgetWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_RecurrentToForgetWeightsTensor, m_Data.m_RecurrentToForgetWeights->GetTensorInfo()); + + m_RecurrentToCellWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_RecurrentToCellWeightsTensor, m_Data.m_RecurrentToCellWeights->GetTensorInfo()); + + m_RecurrentToOutputWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_RecurrentToOutputWeightsTensor, m_Data.m_RecurrentToOutputWeights->GetTensorInfo()); + + m_ForgetGateBiasTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_ForgetGateBiasTensor, m_Data.m_ForgetGateBias->GetTensorInfo()); + + m_CellBiasTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_CellBiasTensor, m_Data.m_CellBias->GetTensorInfo()); + + m_OutputGateBiasTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_OutputGateBiasTensor, m_Data.m_OutputGateBias->GetTensorInfo()); + + // Create tensors for optional params if they are enabled + if (m_Data.m_Parameters.m_PeepholeEnabled) + { + m_CellToInputWeightsTensor = std::make_unique<arm_compute::Tensor>(); + + if (!m_Data.m_Parameters.m_CifgEnabled) + { + // In ACL this is categorised as a CIFG param and not a Peephole param + BuildArmComputeTensor(*m_CellToInputWeightsTensor, m_Data.m_CellToInputWeights->GetTensorInfo()); + } + + m_CellToForgetWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_CellToForgetWeightsTensor, m_Data.m_CellToForgetWeights->GetTensorInfo()); + + m_CellToOutputWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_CellToOutputWeightsTensor, m_Data.m_CellToOutputWeights->GetTensorInfo()); + + // Set Peephole params + qLstmParams.set_peephole_params(m_CellToForgetWeightsTensor.get(), + m_CellToOutputWeightsTensor.get()); + } + + if (m_Data.m_Parameters.m_ProjectionEnabled) + { + m_ProjectionWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_ProjectionWeightsTensor, m_Data.m_ProjectionWeights->GetTensorInfo()); + + m_ProjectionBiasTensor = std::make_unique<arm_compute::Tensor>(); + if (m_Data.m_ProjectionBias != nullptr) + { + BuildArmComputeTensor(*m_ProjectionBiasTensor, m_Data.m_ProjectionBias->GetTensorInfo()); + } + + // Set projection params + qLstmParams.set_projection_params( + m_ProjectionWeightsTensor.get(), + m_Data.m_ProjectionBias != nullptr ? m_ProjectionBiasTensor.get() : nullptr); + } + + if (m_Data.m_Parameters.m_LayerNormEnabled) + { + m_InputLayerNormWeightsTensor = std::make_unique<arm_compute::Tensor>(); + + if (!m_Data.m_Parameters.m_CifgEnabled) + { + BuildArmComputeTensor(*m_InputLayerNormWeightsTensor, m_Data.m_InputLayerNormWeights->GetTensorInfo()); + } + + m_ForgetLayerNormWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_ForgetLayerNormWeightsTensor, m_Data.m_ForgetLayerNormWeights->GetTensorInfo()); + + m_CellLayerNormWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_CellLayerNormWeightsTensor, m_Data.m_CellLayerNormWeights->GetTensorInfo()); + + m_OutputLayerNormWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_OutputLayerNormWeightsTensor, m_Data.m_OutputLayerNormWeights->GetTensorInfo()); + + // Set layer norm params + qLstmParams.set_layer_normalization_params( + m_Data.m_InputLayerNormWeights != nullptr ? m_InputLayerNormWeightsTensor.get() : nullptr, + m_ForgetLayerNormWeightsTensor.get(), + m_CellLayerNormWeightsTensor.get(), + m_OutputLayerNormWeightsTensor.get()); + } + + if (!m_Data.m_Parameters.m_CifgEnabled) + { + m_InputToInputWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_InputToInputWeightsTensor, m_Data.m_InputToInputWeights->GetTensorInfo()); + + m_RecurrentToInputWeightsTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_RecurrentToInputWeightsTensor, m_Data.m_RecurrentToInputWeights->GetTensorInfo()); + + m_InputGateBiasTensor = std::make_unique<arm_compute::Tensor>(); + BuildArmComputeTensor(*m_InputGateBiasTensor, m_Data.m_InputGateBias->GetTensorInfo()); + + // Set CIFG params + qLstmParams.set_cifg_params( + m_InputToInputWeightsTensor.get(), + m_RecurrentToInputWeightsTensor.get(), + m_Data.m_CellToInputWeights != nullptr ? m_CellToInputWeightsTensor.get() : nullptr, + m_InputGateBiasTensor.get()); + } + + // Input/output tensors + const arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + const arm_compute::ITensor& outputStateIn = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); + const arm_compute::ITensor& cellStateIn = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[2])->GetTensor(); + + arm_compute::ITensor& outputStateOut = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + arm_compute::ITensor& cellStateOut = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[1])->GetTensor(); + arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[2])->GetTensor(); + + + // Set scalar descriptor params + qLstmParams.set_cell_clip_params(m_Data.m_Parameters.m_CellClip); + qLstmParams.set_projection_clip_params(m_Data.m_Parameters.m_ProjectionClip); + qLstmParams.set_hidden_state_params(m_Data.m_Parameters.m_HiddenStateZeroPoint, + m_Data.m_Parameters.m_HiddenStateScale); + qLstmParams.set_matmul_scale_params(m_Data.m_Parameters.m_InputIntermediateScale, + m_Data.m_Parameters.m_ForgetIntermediateScale, + m_Data.m_Parameters.m_CellIntermediateScale, + m_Data.m_Parameters.m_OutputIntermediateScale); + + // QLSTM NEON configure + m_QLstmLayer.configure(&input, + m_InputToForgetWeightsTensor.get(), + m_InputToCellWeightsTensor.get(), + m_InputToOutputWeightsTensor.get(), + m_RecurrentToForgetWeightsTensor.get(), + m_RecurrentToCellWeightsTensor.get(), + m_RecurrentToOutputWeightsTensor.get(), + m_ForgetGateBiasTensor.get(), + m_CellBiasTensor.get(), + m_OutputGateBiasTensor.get(), + &cellStateIn, + &outputStateIn, + &cellStateOut, + &outputStateOut, + &output, + qLstmParams); + + // Initialise ACL tensor data for mandatory params + InitializeArmComputeTensorData(*m_InputToForgetWeightsTensor, m_Data.m_InputToForgetWeights); + InitializeArmComputeTensorData(*m_InputToCellWeightsTensor, m_Data.m_InputToCellWeights); + InitializeArmComputeTensorData(*m_InputToOutputWeightsTensor, m_Data.m_InputToOutputWeights); + + InitializeArmComputeTensorData(*m_RecurrentToForgetWeightsTensor, m_Data.m_RecurrentToForgetWeights); + InitializeArmComputeTensorData(*m_RecurrentToCellWeightsTensor, m_Data.m_RecurrentToCellWeights); + InitializeArmComputeTensorData(*m_RecurrentToOutputWeightsTensor, m_Data.m_RecurrentToOutputWeights); + + InitializeArmComputeTensorData(*m_ForgetGateBiasTensor, m_Data.m_ForgetGateBias); + InitializeArmComputeTensorData(*m_CellBiasTensor, m_Data.m_CellBias); + InitializeArmComputeTensorData(*m_OutputGateBiasTensor, m_Data.m_OutputGateBias); + + // Initialise ACL tensor data for optional params + if (!m_Data.m_Parameters.m_CifgEnabled) + { + InitializeArmComputeTensorData(*m_InputToInputWeightsTensor, m_Data.m_InputToInputWeights); + InitializeArmComputeTensorData(*m_RecurrentToInputWeightsTensor, m_Data.m_RecurrentToInputWeights); + InitializeArmComputeTensorData(*m_InputGateBiasTensor, m_Data.m_InputGateBias); + } + + if (m_Data.m_Parameters.m_ProjectionEnabled) + { + InitializeArmComputeTensorData(*m_ProjectionWeightsTensor, m_Data.m_ProjectionWeights); + + if (m_Data.m_ProjectionBias != nullptr) + { + InitializeArmComputeTensorData(*m_ProjectionBiasTensor, m_Data.m_ProjectionBias); + } + } + + if (m_Data.m_Parameters.m_PeepholeEnabled) + { + if (!m_Data.m_Parameters.m_CifgEnabled) + { + InitializeArmComputeTensorData(*m_CellToInputWeightsTensor, m_Data.m_CellToInputWeights); + } + + InitializeArmComputeTensorData(*m_CellToForgetWeightsTensor, m_Data.m_CellToForgetWeights); + InitializeArmComputeTensorData(*m_CellToOutputWeightsTensor, m_Data.m_CellToOutputWeights); + } + + if (m_Data.m_Parameters.m_LayerNormEnabled) + { + if (!m_Data.m_Parameters.m_CifgEnabled) + { + InitializeArmComputeTensorData(*m_InputLayerNormWeightsTensor, m_Data.m_InputLayerNormWeights); + } + + InitializeArmComputeTensorData(*m_ForgetLayerNormWeightsTensor, m_Data.m_ForgetLayerNormWeights); + InitializeArmComputeTensorData(*m_CellLayerNormWeightsTensor, m_Data.m_CellLayerNormWeights); + InitializeArmComputeTensorData(*m_OutputLayerNormWeightsTensor, m_Data.m_OutputLayerNormWeights); + } + + // QLSTM NEON prepare + m_QLstmLayer.prepare(); + + FreeUnusedTensors(); +} + +void NeonQLstmWorkload::Execute() const +{ + m_QLstmLayer.run(); +} + +arm_compute::Status NeonQLstmWorkloadValidate(const TensorInfo& input, + const TensorInfo& cellStateIn, + const TensorInfo& outputStateIn, + const TensorInfo& cellStateOut, + const TensorInfo& outputStateOut, + const TensorInfo& output, + const QLstmDescriptor& descriptor, + const LstmInputParamsInfo& paramsInfo) +{ + arm_compute::LSTMParams<arm_compute::ITensorInfo> aclParamsInfo; + + // Input/Output tensor info + const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input); + const arm_compute::TensorInfo aclOutputStateInInfo = BuildArmComputeTensorInfo(outputStateIn); + const arm_compute::TensorInfo aclCellStateInInfo = BuildArmComputeTensorInfo(cellStateIn); + + const arm_compute::TensorInfo aclOutputStateOutInfo = BuildArmComputeTensorInfo(outputStateOut); + const arm_compute::TensorInfo aclCellStateOutInfo = BuildArmComputeTensorInfo(cellStateOut); + const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); + + // Mandatory tensor info + 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 aclRecurrentToForgetWeightsInfo + = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToForgetWeights()); + const arm_compute::TensorInfo aclRecurrentToCellWeightsInfo + = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToCellWeights()); + const arm_compute::TensorInfo aclRecurrentToOutputWeightsInfo + = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToOutputWeights()); + const arm_compute::TensorInfo aclForgetGateBiasInfo + = BuildArmComputeTensorInfo(paramsInfo.GetForgetGateBias()); + const arm_compute::TensorInfo aclCellBiasInfo + = BuildArmComputeTensorInfo(paramsInfo.GetCellBias()); + const arm_compute::TensorInfo aclOutputGateBiasInfo + = BuildArmComputeTensorInfo(paramsInfo.GetOutputGateBias()); + + // Optional tensor info + arm_compute::TensorInfo aclInputToInputWeightsInfo; + arm_compute::TensorInfo aclRecurrentToInputWeightsInfo; + + arm_compute::TensorInfo aclCellToInputWeightsInfo; + arm_compute::TensorInfo aclCellToForgetWeightsInfo; + arm_compute::TensorInfo aclCellToOutputWeightsInfo; + + arm_compute::TensorInfo aclInputGateBiasInfo; + + arm_compute::TensorInfo aclProjectionWeightsInfo; + arm_compute::TensorInfo aclProjectionBiasInfo; + + arm_compute::TensorInfo aclInputLayerNormWeightsInfo; + arm_compute::TensorInfo aclForgetLayerNormWeightsInfo; + arm_compute::TensorInfo aclCellLayerNormWeightsInfo; + arm_compute::TensorInfo aclOutputLayerNormWeightsInfo; + + + // Create tensor info for optional params if they are enabled + if (descriptor.m_PeepholeEnabled) + { + if (!descriptor.m_CifgEnabled) + { + aclCellToInputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellToInputWeights()); + } + + aclCellToForgetWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellToForgetWeights()); + aclCellToOutputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellToOutputWeights()); + + // Set peephole params info + aclParamsInfo.set_peephole_params(&aclCellToForgetWeightsInfo, + &aclCellToOutputWeightsInfo); + } + + if (descriptor.m_ProjectionEnabled) + { + aclProjectionWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetProjectionWeights()); + + if (paramsInfo.m_ProjectionBias != nullptr) + { + aclProjectionBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetProjectionBias()); + } + + // Set projection params info + aclParamsInfo.set_projection_params( + &aclProjectionWeightsInfo, + paramsInfo.m_ProjectionBias != nullptr ? &aclProjectionBiasInfo : nullptr); + } + + + + if (descriptor.m_LayerNormEnabled) + { + if (!descriptor.m_CifgEnabled) + { + aclInputLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetInputLayerNormWeights()); + + } + + aclForgetLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetForgetLayerNormWeights()); + aclCellLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetCellLayerNormWeights()); + aclOutputLayerNormWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetOutputLayerNormWeights()); + + // Set layer norm params info + aclParamsInfo.set_layer_normalization_params( + paramsInfo.m_InputLayerNormWeights != nullptr ? &aclInputLayerNormWeightsInfo : nullptr, + &aclForgetLayerNormWeightsInfo, + &aclCellLayerNormWeightsInfo, + &aclOutputLayerNormWeightsInfo); + } + + if (!descriptor.m_CifgEnabled) + { + aclInputToInputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetInputToInputWeights()); + aclRecurrentToInputWeightsInfo = BuildArmComputeTensorInfo(paramsInfo.GetRecurrentToInputWeights()); + aclInputGateBiasInfo = BuildArmComputeTensorInfo(paramsInfo.GetInputGateBias()); + + // Set CIFG params info + aclParamsInfo.set_cifg_params( + &aclInputToInputWeightsInfo, + &aclRecurrentToInputWeightsInfo, + paramsInfo.m_CellToInputWeights != nullptr ? &aclCellToInputWeightsInfo : nullptr, + &aclInputGateBiasInfo); + } + + // Set scalar descriptor params + aclParamsInfo.set_cell_clip_params(descriptor.m_CellClip); + aclParamsInfo.set_projection_clip_params(descriptor.m_ProjectionClip); + aclParamsInfo.set_hidden_state_params(descriptor.m_HiddenStateZeroPoint, descriptor.m_HiddenStateScale); + aclParamsInfo.set_matmul_scale_params(descriptor.m_InputIntermediateScale, + descriptor.m_ForgetIntermediateScale, + descriptor.m_CellIntermediateScale, + descriptor.m_OutputIntermediateScale); + + // QLSTM NEON validate + return arm_compute::NEQLSTMLayer::validate(&aclInputInfo, + &aclInputToForgetWeightsInfo, + &aclInputToCellWeightsInfo, + &aclInputToOutputWeightsInfo, + &aclRecurrentToForgetWeightsInfo, + &aclRecurrentToCellWeightsInfo, + &aclRecurrentToOutputWeightsInfo, + &aclForgetGateBiasInfo, + &aclCellBiasInfo, + &aclOutputGateBiasInfo, + &aclCellStateInInfo, + &aclOutputStateInInfo, + &aclCellStateOutInfo, + &aclOutputStateOutInfo, + &aclOutputInfo, + aclParamsInfo); +} + +void NeonQLstmWorkload::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_CellToInputWeightsTensor); + FreeTensorIfUnused(m_CellToForgetWeightsTensor); + FreeTensorIfUnused(m_CellToOutputWeightsTensor); + + FreeTensorIfUnused(m_InputGateBiasTensor); + FreeTensorIfUnused(m_ForgetGateBiasTensor); + FreeTensorIfUnused(m_CellBiasTensor); + FreeTensorIfUnused(m_OutputGateBiasTensor); + + FreeTensorIfUnused(m_ProjectionWeightsTensor); + FreeTensorIfUnused(m_ProjectionBiasTensor); + + FreeTensorIfUnused(m_InputLayerNormWeightsTensor); + FreeTensorIfUnused(m_ForgetLayerNormWeightsTensor); + FreeTensorIfUnused(m_CellLayerNormWeightsTensor); + FreeTensorIfUnused(m_OutputLayerNormWeightsTensor); +} + +} //namespace armnn
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