我在PyTorch框架中编写了一些自定义CUDA算子,其中使用了error.cuh中的CHECK宏进行返回值检测,有如下几个现象。 int *pts_mask = NULL; cudaMalloc(&pts_mask, boxes_num * pts_num * sizeof(int)); // (N, M) CHECK(cudaMemset(pts_mask, -1, boxes_num * pts_num * sizeof(int))); 在程序运...
You can check if yours has the same problem by running the sample program simpleCUBLAS: cd /usr/local/cuda/samples/7_CUDALibraries/simpleCUBLAS # check if your samples are in the same directory make ./simpleCUBLAS I was getting an error when I tried to run it, so I reinstalled CUDA ...
Error: unsupported compiler: 9.4.0. Use --override to override this check. Missing recommended library: libGLU.so Missing recommended library: libX11.so Missing recommended library: libXi.so Missing recommended library: libXmu.so Missing recommended libra在linux系统安装cuda-10.0的时候,报错 Error: unsu...
You can check if yours has the same problem by running the sample program simpleCUBLAS: cd /usr/local/cuda/samples/7_CUDALibraries/simpleCUBLAS # check if your samples are in the same directory make ./simpleCUBLAS I was getting an error when I tried to run it, so I reinstalled CUDA ...
结果报错:内存溢出。 CUDA Error: out of memory darknet: ./src/cuda.c:36: check_error: Assertion `0' failed. Aborted (core dumped) 那么,修改cfg文件夹下的yolov3.cfg文件,原始的yolov3.cfg文件开头为: [net] # Testing #batch=1 #subdivisions=1 ...
装好darknet后,直接测试的时候,报错: darknet: ./src/cuda.c:36: check_error: Assertion `0' failed.解决办法是打开yolov3.cfg,注释掉Training配置,同时Testing配置取消注释。
最近使用cuda11.3编译.cu文件,报错: #error -- unsupported GNU version! gcc versions later than 10 are not supported! The nvcc flag '-allow-unsupported-compiler' can be used to override this version check; however, using an unsupported host compiler may cause compilation failure or incorrect run ...
Error: unsupported compiler: 9.4.0. Use --override to override this check. Missing recommended library: libGLU.so Missing recommended library: libX11.so Missing recommended library: libXi.so Missing recommended library: libXmu.so Missing recommended libra在linux系统安装cuda-10.0的时候,报错 ...
按照darknet官网上的教程安装这个框架,根据自身的条件(已装好nvidia 显卡驱动,cuda9.0 cudnn7.1),在makefile文件中修改GPU=1 CUDNN=1 OPENCV=1,然后重新make,再下载了yolov3.weights后,然后使用该网页上提供的测试命令做测试。 darknet: ./src/cuda.c:36: check_error: Assertion `0' failed. ...