针对您提出的“name 'cuda_visible_devices' is not defined”问题,我们可以从以下几个方面进行解答: 1. 确认cuda_visible_devices的使用上下文 首先,需要明确cuda_visible_devices通常不是一个在Python代码或一般编程语言中直接定义的变量。它更多地是作为环境变量或命令行参数来使用,用于控制CUDA应用程序可以看到的GPU...
NameError: name 'cuda_setup' is not defined #124 Closed w-firm opened this issue Jan 16, 2023· 3 comments Comments w-firm commented Jan 16, 2023 👍 2 evelinedurom commented Jan 17, 2023 @w-firm I think Its an issue with the GPU. Make sure you are using a Turing or ...
The Grounding DINO code should work fine after that, but I have to admit that I did not test it thoroughly and that I am not sure whether the PyTorch implementation has any disadvantages over their CUDA build implementation in terms of runtime on a GPU. To be more precise: ...
编译tiny-cudann时候报错 Compilation error ptxas fatal : Value ‘sm_30’ is not defined for option ‘gpu-name’ 折腾了好久,参考这位老哥的github issue 解决了我的问题,在此记录一下。 错误复现 运行以下命令时爆红 cmake . -B build 先说结论 有可能是有一个老版本的通过apt-get安装的 nvidia-cuda-...
pytorch 1.9.0 py3.8_cuda11.1_cudnn8.0.4_0 pytorch 1. 如果没有看到类似的输出,那么你需要重新安装PyTorch。在Anaconda Prompt中运行以下命令,重新安装PyTorch。 conda install pytorch torchvision torchaudio cudatoolkit=11.0-c pytorch-c conda-forge
[报错]-NameError: name 'NAN' is not defined 部分数据输出为NaN,处理这部分异常数据使用isnan()函数 方法一:使用np.nan importnumpyasnpifz == np.nan:print('error') 方法二: from mathimportisnanisnan(z) 参考: https://www.cnblogs.com/itdyb/p/5806688.html...
conda install -c "nvidia/label/cuda-11.8.0" cuda-nvcc 1 (6)最后就是下载最重要的 causal-conv1d 和mamba-ssm库。在这里我们同样选择离线安装的方式,来避免大量奇葩的编译bug。首先进入下面各自的github网址种进行下载对应版本(这两个库也打包在上面提供的百度网盘链接中): ...
Trending [Solved] runtimeerror: cuda error: invalid device ordinal FAQs What should I do if the MySQL server is not running or the connection is not established properly? To fix this, you need to start the MySQL server and check that the connection details (e.g., username, password, host...
I found that the option -foffload=-misa=sm_35 avoid buiding the SM_30 architecture which is not supported anymore on cuda 11. My full command line looks like this : g++ -fopenmp -foffload=nvptx-none -fcf-protection=none -foffload=-misa=sm_35 -fno-stack-protector -O3 myfile.c...
Is debug build: False CUDA used to build PyTorch: 12.1 ROCM used to build PyTorch: N/A OS: Ubuntu 18.04.5 LTS (x86_64) GCC version: (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0 Clang version: Could not collect CMake version: version 3.29.2 ...