diff options
Diffstat (limited to 'src/backends/ClWorkloads/ClConvolution2dUint8Workload.cpp')
-rw-r--r-- | src/backends/ClWorkloads/ClConvolution2dUint8Workload.cpp | 81 |
1 files changed, 0 insertions, 81 deletions
diff --git a/src/backends/ClWorkloads/ClConvolution2dUint8Workload.cpp b/src/backends/ClWorkloads/ClConvolution2dUint8Workload.cpp deleted file mode 100644 index a9faec0d77..0000000000 --- a/src/backends/ClWorkloads/ClConvolution2dUint8Workload.cpp +++ /dev/null @@ -1,81 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "ClConvolution2dUint8Workload.hpp" -#include <backends/ClTensorHandle.hpp> -#include <backends/CpuTensorHandle.hpp> -#include <backends/aclCommon/ArmComputeTensorUtils.hpp> -#include <backends/ClLayerSupport.hpp> - -#include "ClWorkloadUtils.hpp" - -namespace armnn -{ -using namespace armcomputetensorutils; - -ClConvolution2dUint8Workload::ClConvolution2dUint8Workload(const Convolution2dQueueDescriptor& descriptor, - const WorkloadInfo& info, std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager) - : Uint8Workload<Convolution2dQueueDescriptor>(descriptor, info) - , m_ConvolutionLayer(memoryManager) -{ - // todo: check tensor shapes match - const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo(); - - m_KernelTensor = std::make_unique<arm_compute::CLTensor>(); - BuildArmComputeTensor(*m_KernelTensor, weightInfo, descriptor.m_DataLayout); - - arm_compute::PadStrideInfo padStrideInfo(m_Data.m_Parameters.m_StrideX, - m_Data.m_Parameters.m_StrideY, - m_Data.m_Parameters.m_PadLeft, - m_Data.m_Parameters.m_PadRight, - m_Data.m_Parameters.m_PadTop, - m_Data.m_Parameters.m_PadBottom, - arm_compute::DimensionRoundingType::FLOOR); - - if (m_Data.m_Parameters.m_BiasEnabled) - { - m_BiasTensor = std::make_unique<arm_compute::CLTensor>(); - BuildArmComputeTensor(*m_BiasTensor, m_Data.m_Bias->GetTensorInfo(), descriptor.m_DataLayout); - } - - m_Data.ValidateInputsOutputs("ClConvolution2dUint8Workload", 1, 1); - - arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); - arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); - - m_ConvolutionLayer.configure(&input, - m_KernelTensor.get(), - m_BiasTensor.get(), - &output, - padStrideInfo); - - InitializeArmComputeClTensorData(*m_KernelTensor, m_Data.m_Weight); - - if (m_BiasTensor) - { - InitializeArmComputeClTensorData(*m_BiasTensor, m_Data.m_Bias); - } - - // Force Compute Library to perform the necessary copying and reshaping, after which - // delete all the input tensors that will no longer be needed - m_ConvolutionLayer.prepare(); - FreeUnusedTensors(); -} - -void ClConvolution2dUint8Workload::Execute() const -{ - ARMNN_SCOPED_PROFILING_EVENT_CL("ClConvolution2dUint8Workload_Execute"); - - m_ConvolutionLayer.run(); -} - -void ClConvolution2dUint8Workload::FreeUnusedTensors() -{ - FreeTensorIfUnused(m_KernelTensor); - FreeTensorIfUnused(m_BiasTensor); -} - -} //namespace armnn - |