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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/NeonWorkloads/NeonConvertFp16ToFp32Workload.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/NeonWorkloads/NeonConvertFp16ToFp32Workload.cpp')
-rw-r--r-- | src/backends/NeonWorkloads/NeonConvertFp16ToFp32Workload.cpp | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/src/backends/NeonWorkloads/NeonConvertFp16ToFp32Workload.cpp b/src/backends/NeonWorkloads/NeonConvertFp16ToFp32Workload.cpp new file mode 100644 index 0000000000..86ec31c71d --- /dev/null +++ b/src/backends/NeonWorkloads/NeonConvertFp16ToFp32Workload.cpp @@ -0,0 +1,41 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonConvertFp16ToFp32Workload.hpp" +#include "Half.hpp" +#include "FloatingPointConverter.hpp" + +#include "backends/WorkloadUtils.hpp" + +namespace armnn +{ + +NeonConvertFp16ToFp32Workload::NeonConvertFp16ToFp32Workload(const ConvertFp16ToFp32QueueDescriptor& descriptor, + const WorkloadInfo& info) + : Float16ToFloat32Workload<ConvertFp16ToFp32QueueDescriptor>(descriptor, info) +{ + this->m_Data.ValidateInputsOutputs("NeonConvertFp16ToFp32Workload", 1, 1); + GatherTensorHandlePairs(descriptor, m_TensorHandlePairs); +} + +void NeonConvertFp16ToFp32Workload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonConvertFp16ToFp32Workload_Execute"); + + auto convertFunc = [](uint8_t* dst, const uint8_t* src, size_t size) + { + auto input = reinterpret_cast<const Half*>(src); + auto output = reinterpret_cast<float*>(dst); + size_t numElements = size/2; // 2 bytes per fp16 + armnnUtils::FloatingPointConverter::ConvertFloat16To32(input, numElements, output); + }; + + for (const auto& pair : m_TensorHandlePairs) + { + CopyTensorContentsGeneric(pair.first, pair.second, convertFunc); + } +} + +} //namespace armnn |