MNN/express/MergeOptimizer.hpp

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//
// MergeOptimizer.hpp
// MNN
//
// Created by MNN on 2019/08/20.
// Copyright © 2018, Alibaba Group Holding Limited
//
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#ifndef MergeOptimizer_hpp
#define MergeOptimizer_hpp
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#include <MNN/expr/Optimizer.hpp>
#include <MNN/MNNForwardType.h>
namespace MNN {
namespace Express {
class MergeOptimizer : public Optimizer {
public:
virtual ~MergeOptimizer() = default;
MergeOptimizer(MNNForwardType type, int numberThread, BackendConfig* config);
- 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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virtual Cost onMeasure(const std::vector<VARP>& outputs, std::shared_ptr<Parameters> parameters = nullptr) override;
//Modify the output directly, the parameters must be the same as onGetParameters
virtual bool onExecute(const std::vector<VARP>& outputs, std::shared_ptr<Parameters> parameters = nullptr) override;
private:
BackendConfig mConfig;
MNNForwardType mType;
int mNumberThread;
};
}; // namespace Express
}; // namespace MNN
#endif