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author | David Beck <david.beck@arm.com> | 2018-09-19 12:03:20 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-10 16:16:56 +0100 |
commit | 10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab (patch) | |
tree | 1ac5b4f415531e2ef759439ab8e113f177bea7c5 /src/backends/RefWorkloads/RefDepthwiseConvolution2dFloat32Workload.cpp | |
parent | a3f165624b2cdfbced674af5a6e11856b1e746d9 (diff) | |
download | armnn-10b4dfd8e9ccd7a03df7bb053ee1c644cb37f8ab.tar.gz |
IVGCVSW-1897 : build infrastructure for the src/backends folder
Change-Id: I7ebafb675ccc77ad54d1deb01412a8379a5356bb
Diffstat (limited to 'src/backends/RefWorkloads/RefDepthwiseConvolution2dFloat32Workload.cpp')
-rw-r--r-- | src/backends/RefWorkloads/RefDepthwiseConvolution2dFloat32Workload.cpp | 37 |
1 files changed, 37 insertions, 0 deletions
diff --git a/src/backends/RefWorkloads/RefDepthwiseConvolution2dFloat32Workload.cpp b/src/backends/RefWorkloads/RefDepthwiseConvolution2dFloat32Workload.cpp new file mode 100644 index 0000000000..e89013b9bd --- /dev/null +++ b/src/backends/RefWorkloads/RefDepthwiseConvolution2dFloat32Workload.cpp @@ -0,0 +1,37 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "RefDepthwiseConvolution2dFloat32Workload.hpp" + +#include "ConvImpl.hpp" +#include "RefWorkloadUtils.hpp" + +#include "Profiling.hpp" + +namespace armnn +{ +RefDepthwiseConvolution2dFloat32Workload::RefDepthwiseConvolution2dFloat32Workload( + const DepthwiseConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) + : Float32Workload<DepthwiseConvolution2dQueueDescriptor>(descriptor, info), + m_Weight(std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight))), + m_Bias(descriptor.m_Parameters.m_BiasEnabled + ? std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias)) : nullptr) {} + +void RefDepthwiseConvolution2dFloat32Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefDepthwiseConvolution2dFloat32Workload_Execute"); + + float* outputData = GetOutputTensorDataFloat(0, m_Data); + const float* inputData = GetInputTensorDataFloat(0, m_Data); + const float* weightData = m_Weight->template GetConstTensor<float>(); + const float* biasData = m_Data.m_Parameters.m_BiasEnabled ? + m_Bias->template GetConstTensor<float>() : nullptr; + const TensorInfo& filterInfo = m_Weight->GetTensorInfo(); + + ConvImpl<armnn::DepthwiseConvolution2dQueueDescriptor, float, float, float> + (m_Data, inputData, 0.0f, 0, weightData, 0.0f, 0, biasData, outputData, 0.0f, 0, filterInfo, true); +} + +} //namespace armnn |