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Diffstat (limited to 'src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp')
| -rw-r--r-- | src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp | 91 |
1 files changed, 91 insertions, 0 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp b/src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp new file mode 100644 index 0000000000..cd7115773d --- /dev/null +++ b/src/armnn/backends/ClWorkloads/ClDepthwiseConvolutionHelper.hpp @@ -0,0 +1,91 @@ +// +// 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
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