MNN/source/backend/cpu/compute/SparseConvolutionTiledExecu...

98 lines
4.5 KiB
C++

//
// SparseConvolutionTiledExecutor
// MNN
//
// Created by MNN on 2021/04/06.
// Copyright © 2018-2021 Alibaba Group Holding Limited.
//
#ifndef SparseConvolutionTiledExecutor_hpp
#define SparseConvolutionTiledExecutor_hpp
#include <functional>
#include "backend/cpu/CPUConvolution.hpp"
#include "ConvolutionTiledExecutor.hpp"
// Tiled Slide Window or Im2Col + GEMM
namespace MNN {
// release resource when needed at different backend.
#define RELEASE_BUFFER_HINT \
if (nullptr != mNNZMap && nullptr != backend) { \
backend->onReleaseBuffer(mNNZMap.get(), Backend::STATIC); \
} \
if (nullptr != mDataOffsetMap && nullptr != backend) { \
backend->onReleaseBuffer(mDataOffsetMap.get(), Backend::STATIC); \
}
struct SparseIndexData {
size_t sparseBlockOC;
size_t weightNNZElement;
size_t weightBlockNumber;
Backend *backend;
std::shared_ptr<Tensor> mNNZMap;
std::shared_ptr<Tensor> mDataOffsetMap;
SparseIndexData()
: sparseBlockOC{0}, weightNNZElement{0}, weightBlockNumber{0}, backend{nullptr} {
}
SparseIndexData(size_t _sparseBlockOC, size_t _weightNNZElement, size_t _weightBlockNumber, Backend* _backend)
: sparseBlockOC{_sparseBlockOC}, weightNNZElement{_weightNNZElement}, weightBlockNumber{_weightBlockNumber}, backend{_backend} {
}
SparseIndexData(const SparseIndexData& _sparseIndex) {
sparseBlockOC = _sparseIndex.sparseBlockOC;
weightNNZElement = _sparseIndex.weightNNZElement;
weightBlockNumber = _sparseIndex.weightBlockNumber;
backend = _sparseIndex.backend;
mNNZMap = _sparseIndex.mNNZMap;
mDataOffsetMap = _sparseIndex.mDataOffsetMap;
}
~SparseIndexData() {
// caution: in different backend, check resource is released or not.
}
};
typedef void(*MNNPackedSparseMatMul)(float* C, const float* A, const float* B, size_t eSize, const size_t* parameter, const float* postParameters, const float* bias, unsigned int* NNZMap, int* dataOffsetMap);
class SparseConvolutionTiledImpl : public ConvolutionTiledImpl {
public:
SparseConvolutionTiledImpl(const Convolution2DCommon *common, MNNPackedSparseMatMul packedSparseMatmul, int sparseBlockOC, Backend *b) : mPackedSparseMatmul{packedSparseMatmul}, mSparseBlockOC{sparseBlockOC}, ConvolutionTiledImpl(common, b) {
}
virtual ~SparseConvolutionTiledImpl() = default;
virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs, Tensor* NNZMap, Tensor* dataOffsetMap);
void getPackParameter(int* eP, int* lP, int* hP, const CoreFunctions* core) override;
public:
MNNPackedSparseMatMul mPackedSparseMatmul;
int mSparseBlockOC;
};
class SparseConvolutionTiledExecutor : public ConvolutionTiledExecutor {
public:
SparseConvolutionTiledExecutor(const Convolution2DCommon *common, Backend *b, const IDSTQuan* weight, const SparseCommon* sparseCommon, const float *bias, size_t biasSize);
SparseConvolutionTiledExecutor(std::shared_ptr<CPUConvolution::Resource> res, std::shared_ptr<SparseIndexData> mSparseIndexData,
const Convolution2DCommon *common, MNNPackedSparseMatMul packedSparseMatmul, int sparseBlockOC, Backend *b);
virtual ~SparseConvolutionTiledExecutor();
virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override {
return mProxy->onExecute(inputs, outputs);
}
virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override {
mInputs = {inputs[0], mResource->mWeight.get(), mResource->mBias.get()};
return mProxy->onResize(mInputs, outputs, mSparseIndexData->mNNZMap.get(), mSparseIndexData->mDataOffsetMap.get());
}
virtual bool onClone(Backend *bn, const Op *op, Execution **dst) override;
void initWeight(float *dest, unsigned int *NNZMap, int *dataOffsetMap, int sparseBlockOC, const float *source,
const uint32_t* indexes, uint32_t indexSize, int depth, int outputCount, int kernelSize, int eP, size_t weightNNZElement,
size_t weightBlockNumber, const CoreFunctions *function);
protected:
std::shared_ptr<SparseConvolutionTiledImpl> mProxy;
std::shared_ptr<SparseIndexData> mSparseIndexData;
};
#undef RELEASE_BUFFER_HINT
} // namespace MNN
#endif /* SparseConvolutionTiledExecutor_hpp */