2019-04-17 10:49:11 +08:00
										 
									 
								 
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								//  CPUQuantizedReshape.cpp
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								//  MNN
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								//  Created by MNN on 2018/08/09.
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								//  Copyright © 2018, Alibaba Group Holding Limited
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								//
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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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								#ifdef MNN_SUPPORT_TFLITE_QUAN
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											2019-12-27 22:16:57 +08:00
										 
									 
								 
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								#include "backend/cpu/CPUQuantizedReshape.hpp"
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								#include "backend/cpu/compute/CommonOptFunction.h"
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								#include "core/Macro.h"
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											2019-04-17 10:49:11 +08:00
										 
									 
								 
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								namespace MNN {
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											2020-02-26 09:57:17 +08:00
										 
									 
								 
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								CPUQuantizedReshape::CPUQuantizedReshape(Backend *b) : MNN::Execution(b) {
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								    // Do nothing
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											2019-04-17 10:49:11 +08:00
										 
									 
								 
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								}
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								ErrorCode CPUQuantizedReshape::onResize(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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								    return NO_ERROR;
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								}
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								ErrorCode CPUQuantizedReshape::onExecute(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs) {
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								    MNN_ASSERT(3 == inputs.size() || 4 == inputs.size() || 1 == inputs.size());
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								    MNN_ASSERT(3 == outputs.size() || inputs.size() == 1);
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								    auto &input  = inputs[0]->buffer();
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								    auto &output = outputs[0]->buffer();
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											2019-08-22 20:13:46 +08:00
										 
									 
								 
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								    ::memcpy(output.host, input.host, inputs[0]->size());
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											2019-04-17 10:49:11 +08:00
										 
									 
								 
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								    return NO_ERROR;
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								}
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								class CPUQuantizedReshapeCreator : public CPUBackend::Creator {
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								public:
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								    virtual Execution *onCreate(const std::vector<Tensor *> &inputs, const std::vector<Tensor *> &outputs,
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								                                const MNN::Op *op, Backend *backend) const override {
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											2020-02-26 09:57:17 +08:00
										 
									 
								 
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								        return new CPUQuantizedReshape(backend);
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											2019-04-17 10:49:11 +08:00
										 
									 
								 
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								    }
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								};
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								REGISTER_CPU_OP_CREATOR(CPUQuantizedReshapeCreator, OpType_QuantizedReshape);
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								} // namespace MNN
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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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								#endif
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