MNN/source/backend/cpu/compute/ConvOpt.h

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2019-04-17 10:49:11 +08:00
//
// ConvOpt.h
// MNN
//
// Created by MNN on 2018/07/16.
// Copyright © 2018, Alibaba Group Holding Limited
//
#ifndef ConvOpt_h
#define ConvOpt_h
#include <stdint.h>
#include <stdio.h>
#ifdef __cplusplus
extern "C" {
#endif
void MNNConvRunForUnitDepthWise(float* dst, const float* src, const float* weight, size_t fw, size_t fh,
size_t weight_y_step, size_t dilateX_step, size_t dilateY_step);
void MNNConvRunForLineDepthwise(float* dst, const float* src, const float* weight, size_t width, size_t src_w_setup,
size_t fw, size_t fh, size_t dilateX_step, size_t dilateY_step, size_t height,
size_t srcHStep, size_t dstHStep);
void MNNDeconvRunForUnitDepthWise(const float* dst, float* src, const float* weight, size_t fw, size_t fh,
size_t weight_y_step, size_t dilateX_step, size_t dilateY_step);
void MNNDeconvRunForLineDepthwise(const float* dst, float* src, const float* weight, size_t width, size_t src_w_setup,
size_t fw, size_t fh, size_t dilateX_step, size_t dilateY_step);
void MNNMatrixAdd(float* C, const float* A, const float* B, size_t widthC4, size_t cStride, size_t aStride,
size_t bStride, size_t height);
void MNNMatrixSub(float* C, const float* A, const float* B, size_t widthC4, size_t cStride, size_t aStride,
size_t bStride, size_t height);
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void MNNStrassenMergeCFunction(float* c11, float* c12, float* c21, float* c22, float* xAddr, size_t cStride,
size_t eSub, size_t hSub);
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void MNNMatrixMax(float* C, const float* A, const float* B, size_t widthC4, size_t cStride, size_t aStride,
size_t bStride, size_t height);
void MNNMatrixProd(float* C, const float* A, const float* B, size_t widthC4, size_t cStride, size_t aStride,
size_t bStride, size_t height);
- 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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void MNNMatrixAddCommon(float* C, const float* A, const float* B, size_t width, size_t cStride, size_t aStride, size_t bStride, size_t height);
void MNNMatrixSubCommon(float* C, const float* A, const float* B, size_t width, size_t cStride, size_t aStride, size_t bStride, size_t height);
void MNNMatrixMaxCommon(float* C, const float* A, const float* B, size_t width, size_t cStride, size_t aStride, size_t bStride, size_t height);
void MNNMatrixProdCommon(float* C, const float* A, const float* B, size_t width, size_t cStride, size_t aStride, size_t bStride, size_t height);
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#ifdef __cplusplus
}
#endif
#endif /* ConvOpt_h */