python - 安装 cuml 时出现 UnsatisfiableError

Question

我正在使用 conda 安装 cuml

conda install -c rapidsai cuml=21.12

这是我得到的痕迹:

Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: /
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
failed

UnsatisfiableError: The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versionsThe following specifications were found to be incompatible with your system:

  - feature:/linux-64::__glibc==2.31=0
  - cuml=21.12 -> cupy[version='>=7.8.0,<10.0.0a0'] -> __glibc[version='>=2.17|>=2.17,<3.0.a0']
  - python=3.8 -> libgcc-ng[version='>=7.5.0'] -> __glibc[version='>=2.17']

Your installed version is: 2.31

我的困惑是它说我需要一个大于 2.17 的 __glibc 版本，但我安装的是 2.31 版本。

Answer 1

忽略 Conda's poor conflict reporting ，RAPIDS 具有非常具体的 channel 规范(rapidsai > nvidia > conda-forge)，因此这可能会影响求解。包含这些 channel 可能就足够了:

conda install -c rapidsai -c nvidia -c conda-forge cuml=21.12

但是，也可能是之前安装的某些东西阻止了正确安装。此外，当包需要专门的 channel 时，创建专用环境通常是更好的做法:

conda create -n cuml -c rapidsai -c nvidia -c conda-forge cuml=21.12

后者类似于the RAPIDS installation selector产生。