diff options
Diffstat (limited to 'src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp')
| -rw-r--r-- | src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp | 91 |
1 files changed, 0 insertions, 91 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp b/src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp deleted file mode 100644 index cd7115773d..0000000000 --- a/src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp +++ /dev/null @@ -1,91 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// See LICENSE file in the project root for full license information. -// - -#pragma once - -#include <armnn/TypesUtils.hpp> -#include "backends/ClLayerSupport.hpp" -#include "backends/ArmComputeTensorUtils.hpp" -#include "backends/ClTensorHandle.hpp" - -namespace armnn -{ - -template <typename WorkloadType> -void InitClDepthwiseConvolutionWorkload(WorkloadType& workload) -{ - using T = typename WorkloadType::KernelDataType; - using B = typename WorkloadType::BiasDataType; - - auto& m_Data = workload.GetData(); - auto& m_KernelTensor = workload.m_KernelTensor; - auto& m_BiasTensor = workload.m_BiasTensor; - auto& m_pDepthwiseConvolutionLayer = workload.m_pDepthwiseConvolutionLayer; - - auto& weightInfo = m_Data.m_Weight->GetTensorInfo(); - - std::string reasonIfUnsupported; - if (!IsClDepthwiseConvolution2dDescParamsSupported(&reasonIfUnsupported, m_Data.m_Parameters, weightInfo)) - { - throw UnimplementedException(reasonIfUnsupported); - } - - armcomputetensorutils::BuildArmComputeTensor(m_KernelTensor, weightInfo); - - arm_compute::CLTensor* optionalBias = nullptr; - if (m_Data.m_Parameters.m_BiasEnabled) - { - armcomputetensorutils::BuildArmComputeTensor(m_BiasTensor, m_Data.m_Bias->GetTensorInfo()); - optionalBias = &m_BiasTensor; - } - - 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); - - std::string name = std::string("ClDepthwiseConvolution") + GetDataTypeName(GetDataType<T>()) + "Workload"; - m_Data.ValidateInputsOutputs(name, 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(); - - //Check for optimisation opportunities. - bool use3x3Optimisation = (weightInfo.GetShape()[3] == 3) && (weightInfo.GetShape()[2] == 3); - if (use3x3Optimisation) - { - m_pDepthwiseConvolutionLayer = std::make_unique<arm_compute::CLDepthwiseConvolutionLayer3x3>(); - static_cast<arm_compute::CLDepthwiseConvolutionLayer3x3*>(m_pDepthwiseConvolutionLayer.get())->configure( - &input, - &m_KernelTensor, - optionalBias, - &output, - padStrideInfo); - } - else - { - m_pDepthwiseConvolutionLayer = std::make_unique<arm_compute::CLDepthwiseConvolutionLayer>(); - static_cast<arm_compute::CLDepthwiseConvolutionLayer*>(m_pDepthwiseConvolutionLayer.get())->configure( - &input, - &m_KernelTensor, - optionalBias, - &output, - padStrideInfo); - } - - BOOST_ASSERT(m_pDepthwiseConvolutionLayer); - - InitialiseArmComputeClTensorData(m_KernelTensor, m_Data.m_Weight->template GetConstTensor<T>()); - - if (optionalBias) - { - InitialiseArmComputeClTensorData(*optionalBias, m_Data.m_Bias->template GetConstTensor<B>()); - } -} - -} //namespace armnn
\ No newline at end of file |