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author | David Beck <david.beck@arm.com> | 2018-09-24 15:59:27 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-10 16:16:57 +0100 |
commit | 0dbe0ee25312b728d77383d11c465156e64ae757 (patch) | |
tree | af37a9802e3ad551e1bf63f7636508cde7a41643 /src/backends/neon/workloads/NeonConvertFp16ToFp32Workload.cpp | |
parent | b4540bef0b0327683fe8e63f727c1212800dc2a9 (diff) | |
download | armnn-0dbe0ee25312b728d77383d11c465156e64ae757.tar.gz |
IVGCVSW-1899 : Neon backend folder structure
armnn:149855
Change-Id: I26e8cf83422a65049386a5ebdb6d0001627aefaa
Diffstat (limited to 'src/backends/neon/workloads/NeonConvertFp16ToFp32Workload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonConvertFp16ToFp32Workload.cpp | 41 |
1 files changed, 41 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonConvertFp16ToFp32Workload.cpp b/src/backends/neon/workloads/NeonConvertFp16ToFp32Workload.cpp new file mode 100644 index 0000000000..86ec31c71d --- /dev/null +++ b/src/backends/neon/workloads/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 |