安装cuml时的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，但我的安装版本是2.31。

Answer 1

忽略Conda糟糕的冲突报告，RAPIDS有非常特殊的信道规范(rapidsai > nvidia > conda-forge)，这可能会影响解决方案。也许包括这些渠道就足够了：

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

但是，以前安装的东西也可能会阻止正确的安装。此外，当软件包需要专门的通道时，通常更好的做法是创建一个专用环境：

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

后者类似于急流安装选择器生成的内容。

Answer 2

除了尝试，这个

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

从@merv的前一篇文章中，只需尝试：

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

应该解决问题。