Closed alinahardani closed 1 month ago
Meantime, you can use my fix.
My GitHub repo: https://github.com/jparksecurity/rapidsai-csp-utils My commit: https://github.com/jparksecurity/rapidsai-csp-utils/commit/68591df3edc566722bbae34dabe242473b2c2671
Thanks @jparksecurity for the workaround. Closing as we fixed this back in Dec :)
Once I run "!python rapidsai-csp-utils/colab/pip-install.py", I get the following error:
Woo! Your instance has the right kind of GPU, a Tesla T4! We will now install RAPIDS cuDF, cuML, and cuGraph via pip! Please stand by, should be quick...
Looking in indexes: https://pypi.org/simple, https://pypi.nvidia.com/ Collecting cudf-cu11 Using cached https://pypi.nvidia.com/cudf-cu11/cudf_cu11-23.12.0-cp310-cp310-manylinux_2_28_x86_64.whl (506.4 MB) Collecting cuml-cu11 Using cached cuml-cu11-23.12.0.tar.gz (6.8 kB) Preparing metadata (setup.py): started error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully. │ exit code: 1 ╰─> See above for output.
note: This error originates from a subprocess, and is likely not a problem with pip. Preparing metadata (setup.py): finished with status 'error' error: metadata-generation-failed
× Encountered error while generating package metadata. ╰─> See above for output.
note: This is an issue with the package mentioned above, not pip. hint: See above for details. Requirement already satisfied: cupy-cuda11x in /usr/local/lib/python3.10/dist-packages (11.0.0) Requirement already satisfied: numpy<1.26,>=1.20 in /usr/local/lib/python3.10/dist-packages (from cupy-cuda11x) (1.23.5) Requirement already satisfied: fastrlock>=0.5 in /usr/local/lib/python3.10/dist-packages (from cupy-cuda11x) (0.8.2)
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Troubleshooting: