一,安装torch方法一:在线安装1,在上面的网址中查询版本时,会有官方建议的torch-rocm安装命令,直 torch gpu需要按照cudnn吗 深度学习 人工智能 python ubuntu 转载 Aceryt 1月前 8阅读 torch 没有gpu版本torch调用gpu 计算机视觉研究院专栏作者:Edison_G斯坦福大学博士生与 Facebook 人工智能研究所研究工程师...
众所周知 PyTorch 已经可以通过 ROCm 支持AMD 的 GPU,奈何 ROCm 不支持 Windows。那么有没有办法在 Windows 上使用 AMD 的 GPU 来加速 PyTorch 呢?答案是肯定的,多谢 DirectML 和 Torch-DirectML。安装步骤请参考 Enable PyTorch with DirectML on Windows | Microsoft Learn。值得一提的是官方文档提及仅支持 PyTor...
ROCM used to build PyTorch: N/A OS: Ubuntu 22.04.2 LTS (x86_64) GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 Clang version: Could not collect CMake version: Could not collect Libc version: glibc-2.35 Python version: 3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] ...
再老的A卡就不支持ROCm了。还有需要注意的是ROCm只原生支持Linux或者WSL环境。
ROCM used to build PyTorch: N/AOS: Ubuntu 22.04.4 LTS (x86_64) GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 Clang version: Could not collect CMake version: version 3.31.4 Libc version: glibc-2.35Python version: 3.12.8 (main, Dec 4 2024, 08:54:12) [GCC 11.4.0] (64-bi...
ROCM used to build PyTorch: N/A OS: Ubuntu 24.04.1 LTS (x86_64) GCC version: (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0 Clang version: Could not collect CMake version: Could not collect Libc version: glibc-2.39 Python version: 3.10.16 | packaged by conda-forge | (main, Dec 5 2024,...
换成n卡，或者换个支持a卡的教程
PyTorch version: 2.4.0.dev20240425+cu121 Is debug build: False CUDA used to build PyTorch: 12.1 ROCM used to build PyTorch: N/A OS: Ubuntu 22.04.2 LTS (x86_64) GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 Clang version: Could not collect CMake version: Could not collect ...
ROCM used to build PyTorch: N/A OS: Ubuntu 24.04.1 LTS (x86_64) GCC version: (Ubuntu 13.2.0-23ubuntu4) 13.2.0 Clang version: Could not collect CMake version: Could not collect Libc version: glibc-2.39 Python version: 3.12.3 (main, Sep 11 2024, 14:17:37) [GCC 13.2.0] (64-...
@naromero77amdit's really hard for me to give a conclusion on this because i still have significant, varying errors, and Windows WSL2 ROCm is restricted to 6.1.2. Its very likely this is fixed in a later version of PyTorch/ROCm, but getting everything to work correctly and consistently...