Question

我想在Arch Linux中将cuda 10.1降级为cuda 10.0，因为tensorflow只需要cuda 10.0。

我在Arch Linux的CUDA 10.1上安装了tensorflow，但我不知道tensorflow-gpu是否需要CUDA 10.0或更低版本。

我尝试将所需的10.0库与新的10.1库进行符号链接，但这没有用。

每当我尝试在python控制台中导入tensorflow时，都会显示错误消息，表明找不到'libcublas.so.10.0'。

所以我发现我只能在CUDA 10.0上运行tensorflow，所以现在我想降级CUDA。但是我不知道如何在Arch Linux中做到这一点。

每次我运行import tensorflow时都会出现此错误。

Traceback (most recent call last):
  File "/home/techievin/.local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/home/techievin/.local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/home/techievin/.local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/usr/lib/python3.7/imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "/usr/lib/python3.7/imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: /usr/lib/libcublas.so.10.0: version `libcublas.so.10.0' not found (required by /home/techievin/.local/lib/python3.7/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/techievin/.local/lib/python3.7/site-packages/tensorflow/__init__.py", line 24, in <module>
    from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
  File "/home/techievin/.local/lib/python3.7/site-packages/tensorflow/python/__init__.py", line 49, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "/home/techievin/.local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/home/techievin/.local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
    from tensorflow.python.pywrap_tensorflow_internal import *
  File "/home/techievin/.local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
    _pywrap_tensorflow_internal = swig_import_helper()
  File "/home/techievin/.local/lib/python3.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
    _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
  File "/usr/lib/python3.7/imp.py", line 242, in load_module
    return load_dynamic(name, filename, file)
  File "/usr/lib/python3.7/imp.py", line 342, in load_dynamic
    return _load(spec)
ImportError: /usr/lib/libcublas.so.10.0: version `libcublas.so.10.0' not found (required by /home/techievin/.local/lib/python3.7/site-packages/tensorflow/python/_pywrap_tensorflow_internal.so)


Failed to load the native TensorFlow runtime.

pacman -S cuda=="10.0"不起作用。

我到处搜索，但是找不到任何适当的答案让Arch Linux降级到CUDA 10.0

Answer 1

我已经使用 yay 解决了这个问题。使用 yay，您可以安装旧版本的 cuda 和 cudnn。根据我的经验，这比从 archive.org 下载要快。

在 Arch 上安装 yay：

pacman -S --needed git base-devel
git clone https://aur.archlinux.org/yay.git
cd yay
makepkg -si

搜索您需要的版本：

yay -Ss cuda
yay -Ss cudnn

在撰写此答案时，我需要从 cuda 11.2 降级到 11.0。所以我安装了特定版本：

pacman -R cuda cudnn
yay -S cuda-11.0 cudnn8-cuda11.0

对我来说，Tensorflow 在降级后运行得很顺利。

Answer 2

我面临着同样的问题，必须重新应用我使用旧gtx670时使用的方法：

请记住，特定的Cuda版本需要特定的nvidia驱动程序。

只需看看compatibility matrix并最终防止驱动程序升级。

Answer 3

从此处下载cuda 10.0软件包：http://archlinux.arkena.net/archive/packages/c/cuda/cuda-10.0.130-2-x86_64.pkg.tar.xz
安装软件包sudo pacman -U cuda-10.0.130-2-x86_64.pkg.tar.xz

如何在Arch Linux中降级到cuda 10.0？

3 个答案: