小编Shi*_*dou的帖子

我有一个替换失败的问题,一些类似问题的答案对我没有帮助.

这是代码:

template<int dim, int loop>  
class Reference{
public:
   //...
   template<int r, int c> using matrix_t = int[r][c];
   Reference(const matrix_t<dim, loop> &mat){}
}; 

template<int dim, int loop>
class Partition{
    // ...
public:
    // ...
    template<int r, int c> using matrix = int[r][c];
    template<int r, int c> void readPattern(const matrix<r,c> &pattern)
    {
       // ...
    }
    // ...
};

我称这个模板函数如下:

int main()
{
   // ... 
   const int DENOISE_UR[3][4] = {/*...*/};
   Partition<1,2> partition;
   partition.readPattern(DENOISE_UR);
   // ...
}

使用g ++编译.

当使用clang ++(linux)编译(clang++ -std=c++11 …

最近，我遇到了超出循环约束的迭代问题。通过记录，我发现循环索引不能被循环绑定所限制。

经过进一步调试后，我发现这是因为cross_parray 在以下代码段之前的某个地方发生了超出范围的写入：

cv::Point2f cross_parray[8];
int cross_points_num = 0;
int j;

// ...

for(j = 0; j < cross_points_num; j++)
{
  printf("%d   Cross[%d]: %f %f\n", cross_points_num, j, cross_parray[j].x, cross_parray[j].y);
}        

这是上面的输出printf：

9   Cross[1718]: 239764258816.000000 0.049635
9   Cross[1719]: 56350172250112.000000 3277795840.000000
9   Cross[1720]: 245523097321472.000000 817.286072
9   Cross[1721]: 810850240.000000 0.000000
9   Cross[1722]: 4630804223985380483294822400.000000 17845644235931175201275904.000000
9   Cross[1723]: 279783113978270150157139968.000000 217149087997375045783066247168.000000
9   Cross[1724]: 16965729398885974016.000000 75876376993756550538537486778368.000000
9   Cross[1725]: 1125715943805045169979392.000000 257558259045784092672.000000
9   Cross[1726]: 71920725395007019893418622976.000000 263079777742056587264.000000
9   Cross[1727]: 18063601952671647256054595584.000000 17857709399654295200260188798976.000000
9   Cross[1728]: 286724012145286700981684214431744.000000 0.000000
9   Cross[1729]: …

错误:

(tensorflow) jcsu@jcsu:~$ python
Python 2.7.13 |Continuum Analytics, Inc.| (default, Dec 20 2016, 23:09:15) 
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
Anaconda is brought to you by Continuum Analytics.
Please check out: http://continuum.io/thanks and https://anaconda.org
>>> from keras import initializations
Using TensorFlow backend.
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcublas.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully opened CUDA library libcufft.so.8.0 locally
I tensorflow/stream_executor/dso_loader.cc:135] successfully …

我想使用clang前端将mips.c转换为mips.ll,这是一个llvm IR.

所以我使用命令: clang -cc1 O3 mips.c -emit-llvm.发生致命错误:找不到'stdio.h'(包含在mips.c中)文件.

然后我按如下方式更改命令:clang -Xclang -cc1 O3 mips.c -emit-llvm.发生另一个错误:链接时无法使用-emit-llvm

我该如何解决这个问题？