| // |
| // 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 <armnn/backends/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) |
| : NeonBaseWorkload<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 |