mirror of https://github.com/alibaba/MNN.git
68 lines
2.1 KiB
C++
68 lines
2.1 KiB
C++
//
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// MetalConvolutionCommon.hpp
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// MNN
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//
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// Created by MNN on 2019/02/25.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef MetalConvolutionCommon_hpp
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#define MetalConvolutionCommon_hpp
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#import "ConvolutionIntFactory.hpp"
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#import "Execution.hpp"
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#import "MNNMetalContext.h"
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#import "MNN_generated.h"
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#import "MetalDefine.h"
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#if MNN_METAL_ENABLED
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namespace MNN {
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class MetalConvolutionCommon : public Execution {
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public:
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MetalConvolutionCommon(Backend *backend, const MNN::Op *op);
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virtual ~MetalConvolutionCommon() = 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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protected:
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void loadWeight(const MNN::Convolution2D *conv);
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virtual ErrorCode onQuantized(const Tensor *input, const Tensor *output) = 0;
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virtual ErrorCode onFloat(const Tensor *input, const Tensor *output) = 0;
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virtual id<MTLBuffer> weightForQuantized(int group, int oc, int ic, int kh, int kw, const int8_t *src);
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virtual id<MTLBuffer> weightForFloat(int group, int oc, int ic, int kh, int kw, const float *src);
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private:
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id<MTLBuffer> weightForConv(const Convolution2D *, ConvolutionIntFactory::Int8Common *, bool);
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protected:
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bool mDepthwise = false;
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int mGroups = 0;
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int mKernelX = 0;
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int mKernelY = 0;
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PadMode mPadMode = PadMode_CAFFE;
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int mPadX = 0;
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int mPadY = 0;
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int mStrideX = 0;
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int mStrideY = 0;
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int mDilateX = 0;
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int mDilateY = 0;
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int mActivationType = 0;
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bool mQnt = false;
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int32_t mQntRange[2] = {0, 0};
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float mQntScale = 0;
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std::shared_ptr<Tensor> mQntInput;
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id<MTLBuffer> mWeight = nil;
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id<MTLBuffer> mBias = nil;
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id<MTLBuffer> mAlpha = nil;
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id<MTLBuffer> mConstBuffer = nil;
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};
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} // namespace MNN
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#endif /* MNN_METAL_ENABLED */
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#endif /* MetalConvolutionCommon_hpp */
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