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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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										 |  |  | #include <functional>
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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;
											
										 
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										 |  |  | // Tiled Slide Window or Im2Col + GEMM
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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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										 |  |  |         // Do nothing
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										 |  |  |     } | 
					
						
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										 |  |  |     virtual ~ConvolutionTiledImpl() = default; | 
					
						
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										 |  |  |     virtual ErrorCode onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) override; | 
					
						
							|  |  |  |     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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							|  |  |  | protected: | 
					
						
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										 |  |  |     Tensor mTempBufferTranspose; | 
					
						
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										 |  |  |     ConvolutionCommon::Im2ColParameter mIm2ColParameters; | 
					
						
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										 |  |  |     std::pair<int, std::function<void(int)>> mFunction; | 
					
						
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										 |  |  |     const CPUConvolution::Resource* mResource = nullptr; | 
					
						
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										 |  |  | }; | 
					
						
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										 |  |  | class ConvolutionTiledExecutor : public Execution { | 
					
						
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										 |  |  | public: | 
					
						
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										 |  |  |     ConvolutionTiledExecutor(Backend* b, const float* bias, size_t biasSize); | 
					
						
							|  |  |  |     ConvolutionTiledExecutor(std::shared_ptr<CPUConvolution::Resource> res, Backend* b); | 
					
						
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										 |  |  |     virtual ~ConvolutionTiledExecutor(); | 
					
						
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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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										 |  |  |     } | 
					
						
							|  |  |  |     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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										 |  |  |     } | 
					
						
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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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										 |  |  |     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); | 
					
						
							|  |  |  |     static void setIm2ColParameter(ConvolutionCommon::Im2ColParameter& dstIm2ColParamter, const Convolution2DCommon* convCommon, Tensor* input, Tensor* output, int padX, int padY, const CoreFunctions* floatCore, const CoreInt8Functions* int8Core); | 
					
						
							|  |  |  |     // 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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										 |  |  | protected: | 
					
						
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										 |  |  |     std::vector<Tensor *> mInputs; | 
					
						
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										 |  |  |     std::shared_ptr<CPUConvolution::Resource> mResource; | 
					
						
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										 |  |  | }; | 
					
						
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										 |  |  | } // namespace MNN
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							|  |  |  | #endif /* ConvolutionTiledExecutor_hpp */
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