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author | Matthew Bentham <Matthew.Bentham@arm.com> | 2018-09-20 15:35:30 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-10 16:16:56 +0100 |
commit | 14e4669b88aba8816211e2f5a5b7e8d774ce2ad4 (patch) | |
tree | b55a87697ce4f8353c8405aee211bcf6edb6d2f6 /src/armnn/backends/ClWorkloads/ClWorkloadUtils.hpp | |
parent | ab8cdc13443408d727fd38be42315cf942251940 (diff) | |
download | armnn-14e4669b88aba8816211e2f5a5b7e8d774ce2ad4.tar.gz |
IVGCVSW-949 Refactor - clean up includes of ClWorkloadUtils.hpp
Move ClWorkloadUtils.hpp into ClWorkloads and reduce the number of places that include it
Change-Id: Iac661be34c185d6208ca75509155b049c24293ca
Diffstat (limited to 'src/armnn/backends/ClWorkloads/ClWorkloadUtils.hpp')
-rw-r--r-- | src/armnn/backends/ClWorkloads/ClWorkloadUtils.hpp | 67 |
1 files changed, 67 insertions, 0 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClWorkloadUtils.hpp b/src/armnn/backends/ClWorkloads/ClWorkloadUtils.hpp new file mode 100644 index 0000000000..a42e48c97d --- /dev/null +++ b/src/armnn/backends/ClWorkloads/ClWorkloadUtils.hpp @@ -0,0 +1,67 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// +#pragma once + +#include "OpenClTimer.hpp" +#include "backends/Workload.hpp" +#include "backends/ArmComputeTensorUtils.hpp" +#include "backends/CpuTensorHandle.hpp" + +#include <arm_compute/core/CL/OpenCL.h> +#include <arm_compute/runtime/CL/CLFunctions.h> +#include <arm_compute/runtime/SubTensor.h> + +#include <Half.hpp> + +#define ARMNN_SCOPED_PROFILING_EVENT_CL(name) \ + ARMNN_SCOPED_PROFILING_EVENT_WITH_INSTRUMENTS(armnn::Compute::GpuAcc, \ + name, \ + armnn::OpenClTimer(), \ + armnn::WallClockTimer()) + +namespace armnn +{ + +template <typename T> +void CopyArmComputeClTensorData(const T* srcData, arm_compute::CLTensor& dstTensor) +{ + { + ARMNN_SCOPED_PROFILING_EVENT_CL("MapClTensorForWriting"); + dstTensor.map(true); + } + + { + ARMNN_SCOPED_PROFILING_EVENT_CL("CopyToClTensor"); + armcomputetensorutils::CopyArmComputeITensorData<T>(srcData, dstTensor); + } + + dstTensor.unmap(); +} + +template <typename T> +void InitialiseArmComputeClTensorData(arm_compute::CLTensor& clTensor, const T* data) +{ + armcomputetensorutils::InitialiseArmComputeTensorEmpty(clTensor); + CopyArmComputeClTensorData<T>(data, clTensor); +} + +inline void InitializeArmComputeClTensorDataForFloatTypes(arm_compute::CLTensor& clTensor, + const ConstCpuTensorHandle *handle) +{ + BOOST_ASSERT(handle); + switch(handle->GetTensorInfo().GetDataType()) + { + case DataType::Float16: + InitialiseArmComputeClTensorData(clTensor, handle->GetConstTensor<armnn::Half>()); + break; + case DataType::Float32: + InitialiseArmComputeClTensorData(clTensor, handle->GetConstTensor<float>()); + break; + default: + BOOST_ASSERT_MSG(false, "Unexpected floating point type."); + } +}; + +} //namespace armnn |