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//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "Encoders.hpp"
#include "Decoders.hpp"
#include <armnn/backends/WorkloadData.hpp>
namespace armnn
{
class BatchMatMul {
public:
enum DataSlot
{
InputX = 0,
InputY = 1,
Output = 2
};
BatchMatMul(const BatchMatMulDescriptor& params,
const TensorInfo& inputXInfo,
const TensorInfo& inputYInfo,
const TensorInfo& outputInfo,
Decoder<float>& inputXDecoder,
Decoder<float>& inputYDecoder,
Encoder<float>& outputEncoder)
: params(params),
inputXInfo(inputXInfo),
inputYInfo(inputYInfo),
outputInfo(outputInfo),
inputXDecoder(inputXDecoder),
inputYDecoder(inputYDecoder),
outputEncoder(outputEncoder)
{}
void BatchMatMulImpl();
void RecurseBMM(std::vector<unsigned int>& curIdx, unsigned int curDim);
// Adjusts it for when input tensors are of unequal rank
void AdjustAxesToMulForUnequalRanks(
std::pair<std::pair<unsigned int, unsigned int>, std::pair<unsigned int, unsigned int>>& axesToMul);
float GetValueAt(DataSlot type, std::vector<unsigned int> idx);
void SetValueAt(float value, DataSlot type, std::vector<unsigned int> idx);
// Takes into account broadcasting
void AdjustToSafeIdx(DataSlot type, std::vector<unsigned int>& idx);
unsigned int CalcFlatIdx(DataSlot type, const std::vector<unsigned int>& idx);
template <typename T>
std::string StringifyVec(const std::vector<T>& vec);
private:
const BatchMatMulDescriptor& params;
const TensorInfo& inputXInfo;
const TensorInfo& inputYInfo;
const TensorInfo& outputInfo;
Decoder<float>& inputXDecoder;
Decoder<float>& inputYDecoder;
Encoder<float>& outputEncoder;
std::vector<float> inputXData;
std::vector<float> inputYData;
};
} // namespace armnn
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