2019-04-17 10:49:11 +08:00
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//
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// ConvolutionTiledExecutor.hpp
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// MNN
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//
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// Created by MNN on 2018/07/16.
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// Copyright © 2018, Alibaba Group Holding Limited
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//
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#ifndef ConvolutionTiledExecutor_hpp
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#define ConvolutionTiledExecutor_hpp
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2021-06-11 17:17:13 +08:00
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2019-04-17 10:49:11 +08:00
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#include <functional>
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2019-12-27 22:16:57 +08:00
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#include "backend/cpu/CPUConvolution.hpp"
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- build:
- unify schema building in core and converter;
- add more build script for android;
- add linux build script for python;
- ops impl:
- add floor mod support in binary;
- use eltwise impl in add/max/sub/mul binary for optimization;
- remove fake double support in cast;
- fix 5d support for concat;
- add adjX and adjY support for batch matmul;
- optimize conv2d back prop filter;
- add pad mode support for conv3d;
- fix bug in conv2d & conv depthwise with very small feature map;
- optimize binary without broacast;
- add data types support for gather;
- add gather ND support;
- use uint8 data type in gather v2;
- add transpose support for matmul;
- add matrix band part;
- add dim != 4 support for padding, reshape & tensor convert;
- add pad type support for pool3d;
- make ops based on TensorFlow Lite quantization optional;
- add all & any support for reduction;
- use type in parameter as output type in reduction;
- add int support for unary;
- add variable weight support for conv2d;
- fix conv2d depthwise weights initialization;
- fix type support for transpose;
- fix grad outputs count for reduce grad and reshape grad;
- fix priorbox & detection output;
- fix metal softmax error;
- python:
- add runSessionWithCallBackInfo interface;
- add max nodes limit (1400) for visualization tool;
- fix save error in python3;
- align default dim;
- convert:
- add extra design for optimization;
- add more post converting optimizers;
- add caffe v1 weights blob support;
- add cast, unary, conv transpose support for onnx model;
- optimize batchnorm, conv with variable weights, prelu, reshape, slice, upsample for onnx model;
- add cos/sin/atan/tan support for unary for tensorflow model;
- add any/all support for reduction for tensorflow model;
- add elu, conv3d, pool3d support for tensorflow model;
- optimize argmax, batchnorm, concat, batch to space, conv with variable weights, prelu, slice for tensorflow model;
- others:
- fix size computer lock;
- fix thread pool deadlock;
- add express & parameters in express;
- rewrite blitter chooser without static map;
- add tests for expr;
2019-10-29 13:37:26 +08:00
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// Tiled Slide Window or Im2Col + GEMM
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2019-04-17 10:49:11 +08:00
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namespace MNN {
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class ConvolutionTiledImpl : public CPUConvolution {
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public:
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ConvolutionTiledImpl(const Convolution2DCommon *common, Backend *b) : CPUConvolution(common, b) {
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2021-01-06 16:29:37 +08:00
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// Do nothing
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2019-06-17 20:10:35 +08:00
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}
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virtual ~ConvolutionTiledImpl() = default;
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2019-06-17 20:10:35 +08:00
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virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override;
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virtual void getPackParameter(int* eP, int* lP, int* hP, const CoreFunctions* core) = 0;
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2019-06-17 20:10:35 +08:00
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protected:
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2020-07-04 01:21:30 +08:00
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Tensor mTempBufferTranspose;
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2023-06-16 09:42:45 +08:00
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ConvolutionCommon::Im2ColParameter mIm2ColParameters;
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2020-07-23 10:35:12 +08:00
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std::pair<int, std::function<void(int)>> mFunction;
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2023-06-27 10:33:16 +08:00
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const CPUConvolution::Resource* mResource = nullptr;
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2019-06-17 20:10:35 +08:00
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};
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2021-06-11 17:17:13 +08:00
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2019-06-17 20:10:35 +08:00
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class ConvolutionTiledExecutor : public Execution {
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2019-04-17 10:49:11 +08:00
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public:
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2021-06-11 17:17:13 +08:00
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ConvolutionTiledExecutor(Backend* b, const float* bias, size_t biasSize);
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ConvolutionTiledExecutor(std::shared_ptr<CPUConvolution::Resource> res, Backend* b);
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2019-04-17 10:49:11 +08:00
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virtual ~ConvolutionTiledExecutor();
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2020-12-15 18:14:15 +08:00
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2019-06-17 20:10:35 +08:00
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virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override {
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return NO_EXECUTION;
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2019-06-17 20:10:35 +08:00
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}
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virtual ErrorCode onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override {
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return NO_EXECUTION;
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2019-06-17 20:10:35 +08:00
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}
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virtual bool onClone(Backend* bn, const Op* op, Execution** dst) override;
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void initWeight(const float *source, float* cache, int depth, int outputCount, int kernelSize, const CoreFunctions* function);
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2023-06-16 09:42:45 +08:00
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static std::pair<int, bool> turnIm2ColToBlitInfo(float const ** srcPtr, int32_t* el, int start, int xC, const ConvolutionCommon::Im2ColParameter& im2Col, const uint8_t* srcOrigin, int bytes);
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static void setIm2ColParameter(ConvolutionCommon::Im2ColParameter& dstIm2ColParamter, const Convolution2DCommon* convCommon, Tensor* input, Tensor* output, int padX, int padY, const CoreFunctions* floatCore, const CoreInt8Functions* int8Core);
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// Total / Stride
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static std::pair<size_t, std::pair<size_t, size_t>> computeBlitInfoSize(int eP, int ow, int kernelSize, int threadNumber);
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2020-12-15 18:14:15 +08:00
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2019-04-17 10:49:11 +08:00
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protected:
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std::vector<Tensor *> mInputs;
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2021-01-06 16:29:37 +08:00
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std::shared_ptr<CPUConvolution::Resource> mResource;
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2019-04-17 10:49:11 +08:00
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};
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2021-06-11 17:17:13 +08:00
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2019-04-17 10:49:11 +08:00
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} // namespace MNN
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#endif /* ConvolutionTiledExecutor_hpp */
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