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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefElementwiseWorkload.hpp"
#include "Decoders.hpp"
#include "ElementwiseFunction.hpp"
#include "Encoders.hpp"
#include "Profiling.hpp"
#include "RefWorkloadUtils.hpp"
#include "StringMapping.hpp"
#include <ResolveType.hpp>
#include <vector>
namespace armnn
{
template <typename Functor, typename ParentDescriptor, typename armnn::StringMapping::Id DebugString>
RefElementwiseWorkload<Functor, ParentDescriptor, DebugString>::RefElementwiseWorkload(
const ParentDescriptor& desc,
const WorkloadInfo& info)
: RefBaseWorkload<ParentDescriptor>(desc, info)
{
}
template <typename Functor, typename ParentDescriptor, typename armnn::StringMapping::Id DebugString>
void RefElementwiseWorkload<Functor, ParentDescriptor, DebugString>::Execute() const
{
Execute(m_Data.m_Inputs, m_Data.m_Outputs);
}
template <typename Functor, typename ParentDescriptor, typename armnn::StringMapping::Id DebugString>
void RefElementwiseWorkload<Functor, ParentDescriptor, DebugString>::ExecuteAsync(
WorkingMemDescriptor &workingMemDescriptor)
{
Execute(workingMemDescriptor.m_Inputs, workingMemDescriptor.m_Outputs);
}
template <typename Functor, typename ParentDescriptor, typename armnn::StringMapping::Id DebugString>
void RefElementwiseWorkload<Functor, ParentDescriptor, DebugString>::Execute(
std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, StringMapping::Instance().Get(DebugString));
const TensorInfo& inputInfo0 = GetTensorInfo(inputs[0]);
const TensorInfo& inputInfo1 = GetTensorInfo(inputs[1]);
const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
const TensorShape& inShape0 = inputInfo0.GetShape();
const TensorShape& inShape1 = inputInfo1.GetShape();
const TensorShape& outShape = outputInfo.GetShape();
std::unique_ptr<Decoder<InType>> input0 = MakeDecoder<InType>(inputInfo0, inputs[0]->Map());
std::unique_ptr<Decoder<InType>> input1 = MakeDecoder<InType>(inputInfo1, inputs[1]->Map());
std::unique_ptr<Encoder<OutType>> output= MakeEncoder<OutType>(outputInfo, outputs[0]->Map());
ElementwiseBinaryFunction<Functor>(inShape0,
inShape1,
outShape,
*input0,
*input1,
*output);
}
} //namespace armnn
template class armnn::RefElementwiseWorkload<std::plus<float>,
armnn::AdditionQueueDescriptor,
armnn::StringMapping::RefAdditionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::plus<int32_t>,
armnn::AdditionQueueDescriptor,
armnn::StringMapping::RefAdditionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::minus<float>,
armnn::SubtractionQueueDescriptor,
armnn::StringMapping::RefSubtractionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::minus<int32_t>,
armnn::SubtractionQueueDescriptor,
armnn::StringMapping::RefSubtractionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::multiplies<float>,
armnn::MultiplicationQueueDescriptor,
armnn::StringMapping::RefMultiplicationWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::multiplies<int32_t>,
armnn::MultiplicationQueueDescriptor,
armnn::StringMapping::RefMultiplicationWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::divides<float>,
armnn::DivisionQueueDescriptor,
armnn::StringMapping::RefDivisionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::divides<int32_t>,
armnn::DivisionQueueDescriptor,
armnn::StringMapping::RefDivisionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<armnn::maximum<float>,
armnn::MaximumQueueDescriptor,
armnn::StringMapping::RefMaximumWorkload_Execute>;
template class armnn::RefElementwiseWorkload<armnn::maximum<int32_t>,
armnn::MaximumQueueDescriptor,
armnn::StringMapping::RefMaximumWorkload_Execute>;
template class armnn::RefElementwiseWorkload<armnn::minimum<float>,
armnn::MinimumQueueDescriptor,
armnn::StringMapping::RefMinimumWorkload_Execute>;
template class armnn::RefElementwiseWorkload<armnn::minimum<int32_t>,
armnn::MinimumQueueDescriptor,
armnn::StringMapping::RefMinimumWorkload_Execute>;
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