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//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefBatchMatMulWorkload.hpp"
#include "BatchMatMulImpl.hpp"
#include "RefWorkloadUtils.hpp"
#include "Profiling.hpp"
namespace armnn
{
RefBatchMatMulWorkload::RefBatchMatMulWorkload(const BatchMatMulQueueDescriptor& descriptor, const WorkloadInfo& info)
: RefBaseWorkload(descriptor, info)
{}
void RefBatchMatMulWorkload::Execute() const
{
Execute(m_Data.m_Inputs, m_Data.m_Outputs);
}
void RefBatchMatMulWorkload::ExecuteAsync(ExecutionData& executionData)
{
WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
}
void RefBatchMatMulWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefBatchMatMulWorkload_Execute");
const TensorInfo& inputXInfo = GetTensorInfo(inputs[0]);
const TensorInfo& inputYInfo = GetTensorInfo(inputs[1]);
const TensorInfo& outputInfo = GetTensorInfo(outputs[0]);
std::unique_ptr<Decoder<float>> inputXDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]),
inputs[0]->Map());
std::unique_ptr<Decoder<float>> inputYDecoder = MakeDecoder<float>(GetTensorInfo(inputs[1]),
inputs[1]->Map());
std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]),
outputs[0]->Map());
auto bmm = BatchMatMul(m_Data.m_Parameters,
inputXInfo,
inputYInfo,
outputInfo,
*inputXDecoder,
*inputYDecoder,
*outputEncoder);
bmm.BatchMatMulImpl();
}
} // namespace armnn
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