- 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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//
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// checkInvalidValue.cpp
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// MNN
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//
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// Created by MNN on 2019/10/28.
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// Copyright © 2018, Alibaba Group Htargeting Limited
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//
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#include <assert.h>
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#include <dirent.h>
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#include <stdio.h>
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#include <sys/stat.h>
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#include <cmath>
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#include <fstream>
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#include <string>
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#include <vector>
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2019-11-13 10:17:19 +08:00
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#include <stdlib.h>
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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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using namespace std;
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#define NONE "\e[0m"
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#define RED "\e[0;31m"
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#define GREEN "\e[0;32m"
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#define L_GREEN "\e[1;32m"
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#define BLUE "\e[0;34m"
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#define L_BLUE "\e[1;34m"
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#define Btarget "\e[1m"
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int main(int argc, char* argv[]) {
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if (argc < 2) {
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printf("Usage: ./checkInvalidValue.out outputDir [limit]\n");
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return 0;
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}
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// read args
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printf("Compare:\n");
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printf("%s\n", argv[1]);
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float tolerance = 0.001;
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int limit = 10;
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if (argc > 2) {
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limit = atoi(argv[2]);
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}
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printf("limit=%d\n", limit);
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// open dir
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DIR* root = opendir(argv[1]);
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if (NULL == root) {
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printf("Error to open %s\n", argv[1]);
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return 0;
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}
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std::vector<std::string> compareFiles;
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struct dirent* ent;
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while ((ent = readdir(root)) != NULL) {
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compareFiles.push_back(ent->d_name);
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}
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closedir(root);
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auto limitValue = powf(10, limit);
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// compare files
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for (auto s : compareFiles) {
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if (s.size() <= 2) {
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continue;
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}
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std::string empty = "";
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std::string targetFile = empty + argv[1] + "/" + s;
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std::ifstream targetOs(targetFile.c_str());
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if (targetOs.fail()) {
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// printf("Can's open %s\n", targetFile.c_str());
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continue;
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}
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int pos = 0;
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bool correct = true;
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float v1;
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while (targetOs >> v1) {
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auto absValue = fabsf(v1);
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if (!isnan(v1) && absValue < limitValue) {
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pos++;
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continue;
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}
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printf(RED "Error for %s, %d, v1=%.6f\n" NONE, s.c_str(), pos, v1);
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correct = false;
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break;
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}
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if (correct) {
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printf(GREEN "Correct : %s\n" NONE, s.c_str());
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}
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}
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return 0;
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}
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