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Diffstat (limited to 'src/armnn/backends/ClWorkloads/ClConvolution2dFloat32Workload.cpp')
| -rw-r--r-- | src/armnn/backends/ClWorkloads/ClConvolution2dFloat32Workload.cpp | 70 |
1 files changed, 70 insertions, 0 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClConvolution2dFloat32Workload.cpp b/src/armnn/backends/ClWorkloads/ClConvolution2dFloat32Workload.cpp new file mode 100644 index 0000000000..6f4069bcc0 --- /dev/null +++ b/src/armnn/backends/ClWorkloads/ClConvolution2dFloat32Workload.cpp @@ -0,0 +1,70 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// See LICENSE file in the project root for full license information. +// + +#include "ClConvolution2dFloat32Workload.hpp" +#include "backends/ClTensorHandle.hpp" +#include "backends/CpuTensorHandle.hpp" +#include "backends/ArmComputeTensorUtils.hpp" +#include "backends/ClLayerSupport.hpp" + +namespace armnn +{ +using namespace armcomputetensorutils; + +ClConvolution2dFloat32Workload::ClConvolution2dFloat32Workload(const Convolution2dQueueDescriptor& descriptor, + const WorkloadInfo& info) + : Float32Workload<Convolution2dQueueDescriptor>(descriptor, info) +{ + + // todo: check tensor shapes match + const TensorInfo& weightInfo = m_Data.m_Weight->GetTensorInfo(); + BuildArmComputeTensor(m_KernelTensor, weightInfo); + + 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); + + arm_compute::CLTensor* optionalBias = nullptr; + if (m_Data.m_Parameters.m_BiasEnabled) + { + BuildArmComputeTensor(m_BiasTensor, m_Data.m_Bias->GetTensorInfo()); + optionalBias = &m_BiasTensor; + } + + m_Data.ValidateInputsOutputs("ClConvolution2dFloat32Workload", 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_pConvolutionLayer = std::make_unique<arm_compute::CLConvolutionLayer>(); + static_cast<arm_compute::CLConvolutionLayer*>(m_pConvolutionLayer.get())->configure(&input, + &m_KernelTensor, + optionalBias, + &output, + padStrideInfo); + + BOOST_ASSERT(m_pConvolutionLayer); + + InitialiseArmComputeClTensorData(m_KernelTensor, m_Data.m_Weight->GetConstTensor<float>()); + + if (optionalBias) + { + InitialiseArmComputeClTensorData(*optionalBias, m_Data.m_Bias->GetConstTensor<float>()); + } +} + +void ClConvolution2dFloat32Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::GpuAcc, "ClConvolution2dFloat32Workload_Execute"); + BOOST_ASSERT(m_pConvolutionLayer); + + m_pConvolutionLayer->run(); +} + +} //namespace armnn
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