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author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2021-10-22 17:15:00 +0100 |
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committer | TeresaARM <teresa.charlinreyes@arm.com> | 2021-10-27 09:32:11 +0000 |
commit | ec5f7d13582d1e477dc3473223b503388092a352 (patch) | |
tree | 37c4d6299f0726a853e28f6297d4eb222cda2c68 /src/backends/neon/workloads/NeonConvolution3dWorkload.cpp | |
parent | e1fdd2866b0f403b5e80994890d62c2c038c16c9 (diff) | |
download | armnn-ec5f7d13582d1e477dc3473223b503388092a352.tar.gz |
IVGCVSW-6170 Add CpuAcc Conv3d Workload
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I3a5bfef5a0085d172fd3689e67f25af909ace2ee
Diffstat (limited to 'src/backends/neon/workloads/NeonConvolution3dWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonConvolution3dWorkload.cpp | 116 |
1 files changed, 116 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonConvolution3dWorkload.cpp b/src/backends/neon/workloads/NeonConvolution3dWorkload.cpp new file mode 100644 index 0000000000..1891981162 --- /dev/null +++ b/src/backends/neon/workloads/NeonConvolution3dWorkload.cpp @@ -0,0 +1,116 @@ +// +// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonConvolution3dWorkload.hpp" + +#include <aclCommon/ArmComputeTensorUtils.hpp> +#include <aclCommon/ArmComputeUtils.hpp> +#include <armnn/utility/PolymorphicDowncast.hpp> +#include <backendsCommon/TensorHandle.hpp> +#include <neon/workloads/NeonWorkloadUtils.hpp> + +#include <arm_compute/runtime/NEON/functions/NEConv3D.h> + +#include <armnn/Types.hpp> +#include <Half.hpp> + +namespace armnn +{ + +using namespace armcomputetensorutils; + +arm_compute::Status NeonConvolution3dWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const Convolution3dDescriptor& descriptor, + const TensorInfo& weights, + const Optional<TensorInfo>& biases, + bool isFastMathEnabled, + const ActivationDescriptor* activationDescriptor) +{ + const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout); + const arm_compute::TensorInfo aclWeightsInfo = BuildArmComputeTensorInfo(weights, descriptor.m_DataLayout); + arm_compute::TensorInfo aclBiasesInfo; + arm_compute::TensorInfo *optionalAclBiasesInfo = nullptr; + if (descriptor.m_BiasEnabled) + { + ARMNN_ASSERT(biases.has_value()); + + aclBiasesInfo = BuildArmComputeTensorInfo(biases.value(), descriptor.m_DataLayout); + optionalAclBiasesInfo = &aclBiasesInfo; + } + const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout); + + const arm_compute::Conv3dInfo aclConv3DInfo = ComputeConv3DInfo(descriptor, + isFastMathEnabled, + activationDescriptor); + + return arm_compute::NEConv3D::validate(&aclInputInfo, + &aclWeightsInfo, + optionalAclBiasesInfo, + &aclOutputInfo, + aclConv3DInfo); +} + +NeonConvolution3dWorkload::NeonConvolution3dWorkload(const Convolution3dQueueDescriptor& descriptor, + const WorkloadInfo& info, + std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager, + const bool isFastMathEnabled) + : BaseWorkload<Convolution3dQueueDescriptor>(descriptor, info) +{ + IgnoreUnused(memoryManager); + + using arm_compute::NEConv3D; + uint32_t numInputs = m_Data.m_Parameters.m_BiasEnabled ? 3: 2; + m_Data.ValidateInputsOutputs("NeonConvolution3dWorkload", numInputs, 1); + + arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& weights = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); + arm_compute::ITensor* biasesPtr = nullptr; + if (m_Data.m_Parameters.m_BiasEnabled) + { + biasesPtr = &PolymorphicDowncast<IAclTensorHandle *>(m_Data.m_Inputs[2])->GetTensor(); + } + arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + + arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); + input.info()->set_data_layout(aclDataLayout); + weights.info()->set_data_layout(aclDataLayout); + output.info()->set_data_layout(aclDataLayout); + + const arm_compute::Conv3dInfo aclConv3DInfo = ComputeConv3DInfo(descriptor, isFastMathEnabled); + + auto convolutionLayer = std::make_unique<arm_compute::NEConv3D>(); + convolutionLayer->configure(&input, + &weights, + biasesPtr, + &output, + aclConv3DInfo); + + // Add details for profiling output + WorkloadInfo detailsInfo; + + detailsInfo.m_InputTensorInfos = info.m_InputTensorInfos; + detailsInfo.m_OutputTensorInfos = info.m_OutputTensorInfos; + + // Report Profiling Details + ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonConvolution3dWorkload_Construct", + descriptor.m_Parameters, + detailsInfo, + this->GetGuid()); + + m_ConvolutionLayer.reset(convolutionLayer.release()); + + ARMNN_ASSERT(m_ConvolutionLayer); + + m_ConvolutionLayer->prepare(); +} + +void NeonConvolution3dWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonConvolution3dWorkload_Execute", this->GetGuid()); + m_ConvolutionLayer->run(); +} + +} //namespace armnn |