Package Details: python-jaxlib-cuda 0.4.31-1

Git Clone URL: https://aur.archlinux.org/python-jaxlib-cuda.git (read-only, click to copy)
Package Base: python-jaxlib-cuda
Description: XLA library for JAX
Upstream URL: https://github.com/google/jax/
Keywords: deep-learning google jax maching-learning xla
Licenses: Apache
Groups: jax
Conflicts: python-jaxlib
Provides: python-jaxlib
Submitter: daskol
Maintainer: daskol
Last Packager: daskol
Votes: 8
Popularity: 0.87
First Submitted: 2023-02-12 23:18 (UTC)
Last Updated: 2024-08-13 00:26 (UTC)

Latest Comments

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actionless commented on 2024-11-10 13:48 (UTC)

it doesn't require any extra files, just update the pkgbuild with the command i described in the github issue

medaminezghal commented on 2024-11-10 11:47 (UTC)

@actionless Could you send me the necessary files to build it?

actionless commented on 2024-11-10 08:06 (UTC)

yup

medaminezghal commented on 2024-11-10 05:53 (UTC)

@actionless did you manage to compile it successfully as I see in the GitHub discussion?

medaminezghal commented on 2024-11-05 17:59 (UTC) (edited on 2024-11-06 06:18 (UTC) by medaminezghal)

@daskol @actionless I get this error when compiling: clang: error: argument unused during compilation: '--cuda-path=external/cuda_nvcc' [-Werror,-Wunused-command-line-argument] when compiling borinssl

daskol commented on 2024-11-05 14:13 (UTC)

@medaminezghal Try --jobs option in Bazel. Also, there should be an option to limit memory usage per job but not sure.

medaminezghal commented on 2024-11-05 13:24 (UTC) (edited on 2024-11-05 13:25 (UTC) by medaminezghal)

@actionless I can't build it with the actual amount of RAM. Is there any methods to make bazel build use less RAM?

medaminezghal commented on 2024-11-05 11:36 (UTC)

I have 16GB RAM, I didn’t monitor my system when building.

actionless commented on 2024-11-05 10:35 (UTC)

that's weird (and sound pretty much unrelated to the build process itself). mb you getting out of ram and OOM-handler kills the terminal