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//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonConvertBf16ToFp32Workload.hpp"
#include <armnnUtils/FloatingPointConverter.hpp>
#include <BFloat16.hpp>
#include <backendsCommon/WorkloadUtils.hpp>
namespace armnn
{
NeonConvertBf16ToFp32Workload::NeonConvertBf16ToFp32Workload(const ConvertBf16ToFp32QueueDescriptor& descriptor,
const WorkloadInfo& info)
: BFloat16ToFloat32Workload<ConvertBf16ToFp32QueueDescriptor>(descriptor, info)
{
this->m_Data.ValidateInputsOutputs("NeonConvertBf16ToFp32Workload", 1, 1);
GatherTensorHandlePairs(descriptor, m_TensorHandlePairs);
}
void NeonConvertBf16ToFp32Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonConvertBf16ToFp32Workload_Execute", this->GetGuid());
auto convertFunc = [](uint8_t* dst, const uint8_t* src, size_t size)
{
auto input = reinterpret_cast<const BFloat16*>(src);
auto output = reinterpret_cast<float*>(dst);
size_t numElements = size/2; // 2 bytes per Bf16
armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32(input, numElements, output);
};
for (const auto& pair : m_TensorHandlePairs)
{
CopyTensorContentsGeneric(pair.first, pair.second, convertFunc);
}
}
} //namespace armnn
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