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//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonBatchMatMulWorkload.hpp"
#include "NeonWorkloadUtils.hpp"
#include <armnn/utility/PolymorphicDowncast.hpp>
#include <armnnUtils/Permute.hpp>
#include <backendsCommon/WorkloadUtils.hpp>
#include <arm_compute/runtime/NEON/functions/NEGEMM.h>
#include <arm_compute/runtime/NEON/functions/NEPermute.h>
namespace armnn
{
arm_compute::Status NeonBatchMatMulValidate(const TensorInfo& inputX,
const TensorInfo& inputY,
const TensorInfo& output,
const BatchMatMulDescriptor& descriptor)
{
if (descriptor.m_AdjointX || descriptor.m_AdjointY )
{
throw Exception("Support for adjoint not implemented.");
}
if (descriptor.m_DataLayoutX != armnn::DataLayout::NCHW || descriptor.m_DataLayoutY != armnn::DataLayout::NCHW )
{
throw Exception("Only supported the MatMul in the last 2 dimensions");
}
const auto aclInputXInfo = armcomputetensorutils::BuildArmComputeTensorInfo(inputX, descriptor.m_DataLayoutX);
const auto aclInputYInfo = armcomputetensorutils::BuildArmComputeTensorInfo(inputY, descriptor.m_DataLayoutY);
const auto aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
arm_compute::Status statusGEMM = arm_compute::Status(arm_compute::ErrorCode::OK);
arm_compute::Status statusPermuteX = arm_compute::Status(arm_compute::ErrorCode::OK);
arm_compute::Status statusPermuteY = arm_compute::Status(arm_compute::ErrorCode::OK);
arm_compute::TensorInfo aclPermutedXInfo = arm_compute::TensorInfo();
arm_compute::TensorInfo aclPermutedYInfo = arm_compute::TensorInfo();
if (descriptor.m_TransposeX == true)
{
auto permutationXVector = GeneratePermutationVectorOnLastTwoDimensions(inputX.GetNumDimensions());
const auto aclPermutationXVector = armcomputetensorutils::BuildArmComputePermutationVector(permutationXVector);
const TensorInfo permutedXInfo = armnnUtils::Permuted(inputX, permutationXVector);
aclPermutedXInfo = armcomputetensorutils::BuildArmComputeTensorInfo(permutedXInfo);
statusPermuteX = arm_compute::NEPermute::validate(&aclInputXInfo,
&aclPermutedXInfo,
aclPermutationXVector);
}
if (descriptor.m_TransposeY == true)
{
auto permutationYVector = GeneratePermutationVectorOnLastTwoDimensions(inputY.GetNumDimensions());
const auto aclPermutationYVector = armcomputetensorutils::BuildArmComputePermutationVector(permutationYVector);
const TensorInfo permutedYInfo = armnnUtils::Permuted(inputY, permutationYVector);
aclPermutedYInfo = armcomputetensorutils::BuildArmComputeTensorInfo(permutedYInfo);
statusPermuteY = arm_compute::NEPermute::validate(&aclInputYInfo,
&aclPermutedYInfo,
aclPermutationYVector);
}
const arm_compute::GEMMInfo& gemm_info = arm_compute::GEMMInfo(false, // is inputX reshaped
false, // is inputY reshaped
false); // is inputY reshaped only 1st run
statusGEMM = arm_compute::NEGEMM::validate(descriptor.m_TransposeX ? &aclPermutedXInfo : &aclInputXInfo,
descriptor.m_TransposeY ? &aclPermutedYInfo : &aclInputYInfo,
nullptr,
&aclOutputInfo,
1.0,
0,
gemm_info);
if (statusPermuteX.error_code() == arm_compute::ErrorCode::OK &&
statusPermuteY.error_code() == arm_compute::ErrorCode::OK &&
statusGEMM.error_code() == arm_compute::ErrorCode::OK)
{
return arm_compute::Status(arm_compute::ErrorCode::OK,
"All BatchMatMul layers validate status OK.");
}
else
{
return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR,
"BatchMatMul layer validate status failed."
+ statusGEMM.error_description()
+ statusPermuteX.error_description()
+ statusPermuteY.error_description());
}
}
NeonBatchMatMulWorkload::NeonBatchMatMulWorkload(
const BatchMatMulQueueDescriptor& descriptor, const WorkloadInfo& info)
: NeonBaseWorkload<BatchMatMulQueueDescriptor>(descriptor, info)
{
if (descriptor.m_Parameters.m_AdjointX || descriptor.m_Parameters.m_AdjointY )
{
throw Exception("Support for adjoint not implemented.");
}
if (descriptor.m_Parameters.m_DataLayoutX != armnn::DataLayout::NCHW ||
descriptor.m_Parameters.m_DataLayoutY != armnn::DataLayout::NCHW )
{
throw Exception("Only supported the MatMul in the last 2 dimensions");
}
// Report Profiling Details
ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonBatchMatMulWorkload_Construct",
descriptor.m_Parameters,
info,
this->GetGuid());
m_Data.ValidateInputsOutputs("NeonBatchMatMulWorkload", 2, 1);
arm_compute::ITensor& inputX = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& inputY = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
auto outputHandle = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0]);
arm_compute::ITensor& output = outputHandle->GetTensor();
arm_compute::DataLayout aclDataLayoutX = ConvertDataLayout(m_Data.m_Parameters.m_DataLayoutX);
arm_compute::DataLayout aclDataLayoutY = ConvertDataLayout(m_Data.m_Parameters.m_DataLayoutY);
inputX.info()->set_data_layout(aclDataLayoutX);
inputY.info()->set_data_layout(aclDataLayoutY);
if (descriptor.m_Parameters.m_TransposeX == true)
{
armnn::PermutationVector permutationXVector
= GeneratePermutationVectorOnLastTwoDimensions(info.m_InputTensorInfos[0].GetNumDimensions());
const TensorInfo permutedXInfo = armnnUtils::Permuted(info.m_InputTensorInfos[0], permutationXVector);
const auto aclPermutationXVector = armcomputetensorutils::BuildArmComputePermutationVector(permutationXVector);
auto permuteLayerX = std::make_unique<arm_compute::NEPermute>();
BuildArmComputeTensor(m_PermutedTensorX, permutedXInfo);
InitialiseArmComputeTensorEmpty(m_PermutedTensorX);
permuteLayerX->configure(&inputX, &m_PermutedTensorX, aclPermutationXVector);
m_PermuteLayerX.reset(permuteLayerX.release());
}
if (descriptor.m_Parameters.m_TransposeY == true)
{
armnn::PermutationVector permutationYVector
= GeneratePermutationVectorOnLastTwoDimensions(info.m_InputTensorInfos[1].GetNumDimensions());
const TensorInfo permutedYInfo = armnnUtils::Permuted(info.m_InputTensorInfos[1], permutationYVector);
const auto aclPermutationYVector = armcomputetensorutils::BuildArmComputePermutationVector(permutationYVector);
auto permuteLayerY = std::make_unique<arm_compute::NEPermute>();
BuildArmComputeTensor(m_PermutedTensorY, permutedYInfo);
InitialiseArmComputeTensorEmpty(m_PermutedTensorY);
permuteLayerY->configure(&inputY, &m_PermutedTensorY, aclPermutationYVector);
m_PermuteLayerY.reset(permuteLayerY.release());
}
const arm_compute::GEMMInfo& gemm_info = arm_compute::GEMMInfo(false, // is inputX reshaped
false, // is inputY reshaped
false); // is inputY reshaped only 1st run
auto gemmLayer = std::make_unique<arm_compute::NEGEMM>();
gemmLayer->configure(descriptor.m_Parameters.m_TransposeX ? &m_PermutedTensorX : &inputX,
descriptor.m_Parameters.m_TransposeY ? &m_PermutedTensorY : &inputY,
nullptr,
&output,
1.0,
0,
gemm_info);
m_GEMMLayer.reset(gemmLayer.release());
}
void NeonBatchMatMulWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonBatchMatMulWorkload_Execute", this->GetGuid());
if (m_PermuteLayerX)
{
m_PermuteLayerX->run();
}
if (m_PermuteLayerY)
{
m_PermuteLayerY->run();
}
m_GEMMLayer->run();
}
} //namespace armnn
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