遇到FileNotFoundError: [errno 2] No such file or directory: '/usr/local/cuda/bin' 这个错误时,通常意味着系统试图访问一个不存在的文件或目录。针对这个错误,我们可以按照以下步骤进行排查和解决: 确认文件路径是否正确: 错误信息中提到的路径是 /usr/local/cuda/bin。首先,我们需要确认这个路径是否是正确...
借鉴(已解决)FileNotFoundError: [Errno 2] No such file or directory: ‘:/usr/local/cuda-11.8/bin/nvcc‘-CSDN博客中的解决方法: 在当前终端中使用命令export CUDA_HOME=/usr/local/cuda 重新执行命令pip install flash-attn --no-build-isolation,能够正常安装。
raise child_exception_type(errno_num, err_msg, err_filename) FileNotFoundError: [Errno 2] No such file or directory: ':/usr/local/cuda:/usr/local/cuda-10.1/bin/nvcc': ':/usr/local/cuda:/usr/local/cuda-10.1/bin/nvcc Running setup.py install for apex ... error Rolling back uninstal...
cudaErrorFileNotFound = 301 This indicates that the file specified was not found. cudaErrorSharedObjectSymbolNotFound = 302 This indicates that a link to a shared object failed to resolve. cudaErrorSharedObjectInitFailed = 303 This indicates that initialization of a shared object failed. cuda...
cudaErrorNoDevice = 100。你需要检查你的显卡是否支持cuda。 cudaErrorFileNotFound = 301。找不到指定文件。 cudaErrorSymbolNotFound = 500。找不到符号名。通常是在通过字符串寻找设备符号时出现的,此时需要检查你的拼写。 cudaErrorIllegalAddress = 700。你可能搞错了传入API的指针究竟指向了内存空间还是显存空间...
():# 获取当前CUDA驱动程序版本try:output=subprocess.check_output(["nvcc","--version"])version_str=output.decode("utf-8")version_lines=version_str.split("\n")forlineinversion_lines:if"release"inline:version=line.split()[-1]returnversionexcept(subprocess.CalledProcessError,FileNotFoundError):...
这里大概类似于刷新的意思吧。 2.测试以下是否成功: 我在终端里面激活我的环境试了以下,但是我在激活环境的时候就给我报错了,真是把老子气笑了。 错误的原因是: ModuleNotFoundError: No module named 'packaging' 然后我:pip install packaging 之后跟着提示慢慢搞吧,我真的很想死,希望那个不要有bug--是不可能...
Open fatal error: 'opencv2/cudaarithm.hpp' file not found#2 ddrmoraisopened this issueOct 22, 2019· 5 comments Comments Copy link ddrmoraiscommentedOct 22, 2019 when I look at /usr/include/opencv2, the file cudaarithm.hpp is not there. ...
CUDA error cudaErrorNoKernelImageForDevice:no kernel image is available for execution on the device We got a topic that reports a similar error previously. The root cause is that Orin’s GPU architecture (sm=87) is not added to the ONNXRuntime source by default. ...
在这两个不同的Docker image起的容器上,编译后的PyTorch python库倒是能运行,但是一旦要使用CUDA功能的时候,就会报错:Error 804: forward compatibility was attempted on non supported HW。 python -c 'import torch; torch.randn([3,5]).cuda()' Traceback (most recent call last): File "<string>", ...