"channels": ["https://repo.anaconda.com/pkgs/main","https://conda.anaconda.org/nvidia/linux-64"],"conda_build_version":"3.21.8","conda_private":false,"conda_version":"4.12.0","description":"CUDA Runtime native
1.一般来说 CUDA 安装在/usr/local/目录下，可以在该目录下通过 ls 命令查看已经安装的 cuda 版本，...
conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia (d:\condaPythonEnvs\pytorch_ser) PS C:\Users\cxxu\Desktop> conda activate py310 (py310) PS C:\Users\cxxu\Desktop> conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia Collect...
Solution to issue cannot be found in the documentation. I checked the documentation. Issue This is a followup to conda-forge/cuda-nvcc-feedstock#56. We are trying to build FBGEMM against the CUDA 12.6 (pytorch/FBGEMM#3503), and are runni...
pip install --upgrade "jax[cuda12_pip]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html When I then ran my JAX code above I got the output: [CudaDevice(id=0)] Voilà, my GPU has been found! It therefore appears that the conda section of the docs might need ...
cuda-cudart_linux~ conda-forge/noarch::cuda-cudart_linux-64-12.2.140-h59595ed_0 cuda-nvrtc conda-forge/linux-64::cuda-nvrtc-12.2.140-hd3aeb46_0 cuda-nvtx conda-forge/linux-64::cuda-nvtx-12.2.140-h59595ed_0 cuda-version conda-forge/noarch::cuda-version-12.2-he2b69de_2 ...
(12)IMSL:Fortran IMSL数值函数库的实现。 (13)NPP(NVIDIA Performance Primitives):提供了一系列图像和通用信号处理的函数,并且支持所有的CUDA平台。 11.Ubuntu 14.04安装CUDA 7.5 解析:由于无论是CentOS还是Ubuntu都预装了开源的nouveau显卡驱动(SUSE没有这种问题),如果不禁用,则CUDA驱动可能不能正确安装。处理方法,...
如果 nvcc 不存在，那么直接寻找 cudart 库文件目录（此时可能是通过 conda 安装的 cudatoolkit，一般直接...
但我解决了它我遵循本教程与CUDA 10.1https://towardsdatascience.com/installing-tensorflow-with-cuda...
version: 11.8.89 manager: conda platform: linux-64 dependencies: {} url: https://conda.anaconda.org/nvidia/linux-64/cuda-cudart-11.8.89-0.tar.bz2 hash: md5: b68c7ef3eda01e95d5903fb508c5e440 sha256: f8cf96ae45acf1bef5ff0be3e849d87e3543144ec8c0075db235f4933113a3b0 ca...