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//
// Copyright © 2020 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefConvertBf16ToFp32Workload.hpp"
#include "RefWorkloadUtils.hpp"
#include <armnnUtils/FloatingPointConverter.hpp>
#include <BFloat16.hpp>
namespace armnn
{
void RefConvertBf16ToFp32Workload::Execute() const
{
Execute(m_Data.m_Inputs, m_Data.m_Outputs);
}
void RefConvertBf16ToFp32Workload::ExecuteAsync(WorkingMemDescriptor &workingMemDescriptor)
{
Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
}
void RefConvertBf16ToFp32Workload::Execute(std::vector<ITensorHandle*> inputs,
std::vector<ITensorHandle*> outputs) const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefConvertBf16ToFp32Workload_Execute");
const BFloat16* const input = reinterpret_cast<const BFloat16*>(inputs[0]->Map());
float* const output = reinterpret_cast<float*>(outputs[0]->Map());
unsigned int numElements = GetTensorInfo(inputs[0]).GetNumElements();
armnnUtils::FloatingPointConverter::ConvertBFloat16ToFloat32(input, numElements, output);
}
} //namespace armnn
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