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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefElementwiseWorkload.hpp"
#include "ElementwiseFunction.hpp"
#include "RefWorkloadUtils.hpp"
#include "Profiling.hpp"
#include "StringMapping.hpp"
#include "TypeUtils.hpp"
#include <vector>
namespace armnn
{
template <typename Functor, typename ParentDescriptor, typename armnn::StringMapping::Id DebugString>
void RefElementwiseWorkload<Functor, ParentDescriptor, DebugString>::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, StringMapping::Instance().Get(DebugString));
const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]);
const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]);
const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
const TensorShape& inShape0 = inputInfo0.GetShape();
const TensorShape& inShape1 = inputInfo1.GetShape();
const TensorShape& outShape = outputInfo.GetShape();
switch(inputInfo0.GetDataType())
{
case armnn::DataType::QuantisedAsymm8:
{
QASymm8Decoder decodeIterator0(GetInputTensorDataU8(0, m_Data),
inputInfo0.GetQuantizationScale(),
inputInfo0.GetQuantizationOffset());
QASymm8Decoder decodeIterator1(GetInputTensorDataU8(1, m_Data),
inputInfo1.GetQuantizationScale(),
inputInfo1.GetQuantizationOffset());
QASymm8Encoder encodeIterator0(GetOutputTensorDataU8(0, m_Data),
outputInfo.GetQuantizationScale(),
outputInfo.GetQuantizationOffset());
ElementwiseFunction<Functor, Decoder, Encoder>(inShape0,
inShape1,
outShape,
decodeIterator0,
decodeIterator1,
encodeIterator0);
break;
}
case armnn::DataType::Float32:
{
FloatDecoder decodeIterator0(GetInputTensorDataFloat(0, m_Data));
FloatDecoder decodeIterator1(GetInputTensorDataFloat(1, m_Data));
FloatEncoder encodeIterator0(GetOutputTensorDataFloat(0, m_Data));
ElementwiseFunction<Functor, Decoder, Encoder>(inShape0,
inShape1,
outShape,
decodeIterator0,
decodeIterator1,
encodeIterator0);
break;
}
default:
BOOST_ASSERT_MSG(false, "RefElementwiseWorkload: Not supported Data Type!");
break;
}
}
}
template class armnn::RefElementwiseWorkload<std::plus<float>,
armnn::AdditionQueueDescriptor,
armnn::StringMapping::RefAdditionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::minus<float>,
armnn::SubtractionQueueDescriptor,
armnn::StringMapping::RefSubtractionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::multiplies<float>,
armnn::MultiplicationQueueDescriptor,
armnn::StringMapping::RefMultiplicationWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::divides<float>,
armnn::DivisionQueueDescriptor,
armnn::StringMapping::RefDivisionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<armnn::maximum<float>,
armnn::MaximumQueueDescriptor,
armnn::StringMapping::RefMaximumWorkload_Execute>;
template class armnn::RefElementwiseWorkload<armnn::minimum<float>,
armnn::MinimumQueueDescriptor,
armnn::StringMapping::RefMinimumWorkload_Execute>;
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