Closed brunobelorte closed 6 months ago
Getting the same on Debian 11 when installing via pip
I solved this using the rapids tutorial https://docs.rapids.ai/install
Command
conda create --solver=libmamba -n rapids-24.04 -c rapidsai-nightly -c conda-forge -c nvidia \ rapids=24.04 python=3.11 cuda-version=12.0
Hi @brunobelorte , I noticed you initially had the problem when trying to install nx-cugraph
, but you mentioned you recently resolved it by installing rapids=24.04
using the RAPIDS install docs.
A few things jump out that I'm wondering about:
nx-cugraph-23.10.00-py310_0
). I wonder if there's some additional constraints somewhere on your system (a .condarc
somewhere, or perhaps an old CUDA driver) causing conda to pick an old version. I'm thinking the rapids-24.04
meta-package has additional specifications which force conda to install other prerequisites that result in a working environment? Or maybe it's because you just ran it on a later date when a more recent nx-cugraph
was available? I'm interested in learning more in case we need to update our conda recipe with additional specifications.pip install
command appears to have picked a more recent version of nx-cugraph
(24.2) but ran into a problem installing a dependency (pylibcugraph
). The "Bad params" error makes me think an older version of setuptools/pip is being used.nx-cugraph
again now that a newer version is available? I'm assuming conda should find version 24.04
, and if not, can you try installing by specifying nx-cugraph=24.04
?reopen if this is still an issue.
Version
11
Which installation method(s) does this occur on?
Conda, Pip
Describe the bug.
When trying to install the package using pip and conda, like readme.md I got errors related to package parameters
Minimum reproducible example
No response
Relevant log output
Environment details
Linux bruno 6.1.0-18-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.76-1 (2024-02-01) x86_64 GNU/Linux with Python 3.11.2
Linux turing 6.5.0-25-generic #25~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Tue Feb 20 16:09:15 UTC 2 x86_64 x86_64 x86_64 GNU/Linux with Python 3.11.5
Other/Misc.
No response
Code of Conduct