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//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonConvertFp32ToFp16Workload.hpp"
#include <Half.hpp>
#include <Profiling.hpp>
#include <armnnUtils/FloatingPointConverter.hpp>
#include <backendsCommon/WorkloadUtils.hpp>
namespace armnn
{
NeonConvertFp32ToFp16Workload::NeonConvertFp32ToFp16Workload(const ConvertFp32ToFp16QueueDescriptor& descriptor,
const WorkloadInfo& info)
: Float32ToFloat16Workload<ConvertFp32ToFp16QueueDescriptor>(descriptor, info)
{
this->m_Data.ValidateInputsOutputs("NeonConvertFp32ToFp16Workload", 1, 1);
GatherTensorHandlePairs(descriptor, m_TensorHandlePairs);
}
void NeonConvertFp32ToFp16Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonConvertFp32ToFp16Workload_Execute", this->GetGuid());
auto convertFunc = [](uint8_t* dst, const uint8_t* src, size_t size)
{
auto input = reinterpret_cast<const float*>(src);
auto output = reinterpret_cast<Half*>(dst);
size_t numElements = size/2; // 2 bytes per fp16
armnnUtils::FloatingPointConverter::ConvertFloat32To16(input, numElements, output);
};
for (const auto& pair : m_TensorHandlePairs)
{
CopyTensorContentsGeneric(pair.first, pair.second, convertFunc);
}
}
} //namespace armnn
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