mirror of https://github.com/alibaba/MNN.git
41 lines
1.4 KiB
C++
41 lines
1.4 KiB
C++
//
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// CPUMatMul.hpp
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// MNN
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//
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// Created by MNN on 2018/08/06.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef CPUMATMUL_HPP
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#define CPUMATMUL_HPP
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#include <functional>
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#include "core/Execution.hpp"
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#include "backend/cpu/compute/StrassenMatmulComputor.hpp"
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namespace MNN {
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class CPUMatMul : public Execution {
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public:
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CPUMatMul(Backend *backend, bool transposeA, bool transposeB, bool transposeC, bool multiThread);
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virtual ~CPUMatMul() = default;
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virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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void execute(const float* APtr, const float* BPtr, float* CPtr, const float* BiasPtr);
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private:
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void _scheduleForVec(int e, int l, int h);
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void _scheduleForVecE(int e, int l, int h);
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bool mTransposeA;
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bool mTransposeB;
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bool mTransposeC;
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bool mSupportMultiThread = false;
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std::vector<std::pair<std::function<void(int, const float*, const float*, const float*)>, int>> mPreFunctions;
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std::vector<std::pair<std::function<void(int, const float*, const float*, const float*, float*)>, int>> mPostFunctions;
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std::shared_ptr<StrassenMatrixComputor> mComputer;
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bool mStrassenUseBiasDirectly = false;
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};
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} // namespace MNN
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#endif // CPUMATMUL_HPP
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