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							|  |  |  | //  Schedule.hpp
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							|  |  |  | //  MNN
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							|  |  |  | //
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							|  |  |  | //  Created by MNN on 2018/07/30.
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							|  |  |  | //  Copyright © 2018, Alibaba Group Holding Limited
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							|  |  |  | //
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							|  |  |  | #ifndef Schedule_hpp
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							|  |  |  | #define Schedule_hpp
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							|  |  |  | #include <stdio.h>
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										 |  |  | #include <MNN/Interpreter.hpp>
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										 |  |  | #include <map>
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							|  |  |  | #include <string>
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							|  |  |  | #include <vector>
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										 |  |  | #include <array>
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										 |  |  | #include "core/Backend.hpp"
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										 |  |  | #include "core/TensorUtils.hpp"
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							|  |  |  | namespace MNN { | 
					
						
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							|  |  |  | struct Op; | 
					
						
							|  |  |  | struct Net; | 
					
						
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							|  |  |  | /** net scheduler */ | 
					
						
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										 |  |  | class MNN_PUBLIC Schedule { | 
					
						
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										 |  |  | public: | 
					
						
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										 |  |  |     enum Type { | 
					
						
							|  |  |  |         // Size can be compute seperately
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							|  |  |  |         SEPERATE = 0, | 
					
						
							|  |  |  |         // When size is fixed, the content is fixed
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							|  |  |  |         CONSTANT = 1, | 
					
						
							|  |  |  |         // Size can't be compute seperately
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							|  |  |  |         NOT_SEPERATE | 
					
						
							|  |  |  |     }; | 
					
						
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										 |  |  |     /** pipeline info */ | 
					
						
							|  |  |  |     struct PipelineInfo { | 
					
						
							|  |  |  |         /** op */ | 
					
						
							|  |  |  |         const Op* op; | 
					
						
							|  |  |  |         /** input tensors */ | 
					
						
							|  |  |  |         std::vector<Tensor*> inputs; | 
					
						
							|  |  |  |         /** output tensors */ | 
					
						
							|  |  |  |         std::vector<Tensor*> outputs; | 
					
						
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										 |  |  |         /** schedule type*/ | 
					
						
							|  |  |  |         Schedule::Type type = Schedule::Type::SEPERATE; | 
					
						
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										 |  |  |     }; | 
					
						
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							|  |  |  |     /** schedule info */ | 
					
						
							|  |  |  |     struct ScheduleInfo { | 
					
						
							|  |  |  |         /** pipelines with backend info */ | 
					
						
							|  |  |  |         std::vector<std::pair<Backend::Info, std::vector<PipelineInfo>>> pipelineInfo; | 
					
						
							|  |  |  |         /** input tensors map */ | 
					
						
							|  |  |  |         std::map<std::string, Tensor*> inputTensors; | 
					
						
							|  |  |  |         /** output tensors map */ | 
					
						
							|  |  |  |         std::map<std::string, Tensor*> outputTensor; | 
					
						
							|  |  |  |         /** all tensors map */ | 
					
						
							|  |  |  |         std::vector<std::pair<int, std::shared_ptr<Tensor>>> allTensors; | 
					
						
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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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										 |  |  |         /** input valid for resize*/ | 
					
						
							|  |  |  |         bool validForResize; | 
					
						
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										 |  |  |     }; | 
					
						
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							|  |  |  |     /**
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							|  |  |  |      * @breif schedule net ops to pipeline with configuration. | 
					
						
							|  |  |  |      * @param net       given net. | 
					
						
							|  |  |  |      * @param config    given configuration. | 
					
						
							|  |  |  |      * @return schedule info. | 
					
						
							|  |  |  |      */ | 
					
						
							|  |  |  |     static ScheduleInfo schedule(const Net* net, const std::vector<ScheduleConfig>& config); | 
					
						
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										 |  |  |     static MNNForwardType getApprociateType(const ScheduleConfig& config); | 
					
						
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										 |  |  | }; | 
					
						
							|  |  |  | } // namespace MNN
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							|  |  |  | #endif /* Schedule_hpp */
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