diff options
Diffstat (limited to 'src/backends/neon/workloads/NeonDepthwiseConvolutionFloatWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonDepthwiseConvolutionFloatWorkload.cpp | 97 |
1 files changed, 0 insertions, 97 deletions
diff --git a/src/backends/neon/workloads/NeonDepthwiseConvolutionFloatWorkload.cpp b/src/backends/neon/workloads/NeonDepthwiseConvolutionFloatWorkload.cpp deleted file mode 100644 index 9790998ebe..0000000000 --- a/src/backends/neon/workloads/NeonDepthwiseConvolutionFloatWorkload.cpp +++ /dev/null @@ -1,97 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "NeonDepthwiseConvolutionFloatWorkload.hpp" -#include <backends/neon/NeonLayerSupport.hpp> -#include <backends/CpuTensorHandle.hpp> -#include <backends/aclCommon/ArmComputeTensorUtils.hpp> - -namespace armnn -{ -using namespace armcomputetensorutils; - -NeonDepthwiseConvolutionFloatWorkload::NeonDepthwiseConvolutionFloatWorkload( - const DepthwiseConvolution2dQueueDescriptor& descriptor, - const WorkloadInfo& info) - : FloatWorkload<DepthwiseConvolution2dQueueDescriptor>(descriptor, info) -{ - const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo(); - - m_KernelTensor = std::make_unique<arm_compute::Tensor>(); - BuildArmComputeTensor(*m_KernelTensor, weightInfo, m_Data.m_Parameters.m_DataLayout); - - if (m_Data.m_Parameters.m_BiasEnabled) - { - m_BiasTensor = std::make_unique<arm_compute::Tensor>(); - BuildArmComputeTensor(*m_BiasTensor, m_Data.m_Bias->GetTensorInfo(), m_Data.m_Parameters.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); - - m_Data.ValidateInputsOutputs("NeonDepthwiseConvolutionFloatWorkload", 1, 1); - - arm_compute::ITensor& input = static_cast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); - arm_compute::ITensor& output = static_cast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); - - arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); - input.info()->set_data_layout(aclDataLayout); - output.info()->set_data_layout(aclDataLayout); - - bool use3x3Optimisation = weightInfo.GetShape()[3] == 3 && weightInfo.GetShape()[2] == 3; - if (use3x3Optimisation) - { - m_pDepthwiseConvolutionLayer = std::make_unique<arm_compute::NEDepthwiseConvolutionLayer3x3>(); - static_cast<arm_compute::NEDepthwiseConvolutionLayer3x3*>( - m_pDepthwiseConvolutionLayer.get())->configure(&input, - m_KernelTensor.get(), - m_BiasTensor.get(), - &output, - padStrideInfo); - } - else - { - m_pDepthwiseConvolutionLayer = std::make_unique<arm_compute::NEDepthwiseConvolutionLayer>(); - static_cast<arm_compute::NEDepthwiseConvolutionLayer*>( - m_pDepthwiseConvolutionLayer.get())->configure(&input, - m_KernelTensor.get(), - m_BiasTensor.get(), - &output, - padStrideInfo); - } - - BOOST_ASSERT(m_pDepthwiseConvolutionLayer); - - InitializeArmComputeTensorData(*m_KernelTensor, m_Data.m_Weight); - - if (m_BiasTensor) - { - InitializeArmComputeTensorData(*m_BiasTensor, m_Data.m_Bias); - } - - m_pDepthwiseConvolutionLayer->prepare(); - FreeUnusedTensors(); -} - -void NeonDepthwiseConvolutionFloatWorkload::Execute() const -{ - ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonDepthwiseConvolutionFloatWorkload_Execute"); - BOOST_ASSERT(m_pDepthwiseConvolutionLayer); - - m_pDepthwiseConvolutionLayer->run(); -} - -void NeonDepthwiseConvolutionFloatWorkload::FreeUnusedTensors() -{ - FreeTensorIfUnused(m_KernelTensor); - FreeTensorIfUnused(m_BiasTensor); -} - -} //namespace armnn |