Package Details: python-jax 0.4.16-1

Git Clone URL: (read-only, click to copy)
Package Base: python-jax
Description: Differentiate, compile, and transform Numpy code.
Upstream URL:
Keywords: autograd deep-learning jax jit machine-learning ml xla
Licenses: Apache
Submitter: daskol
Maintainer: daskol (ei-grad)
Last Packager: daskol
Votes: 5
Popularity: 0.003324
First Submitted: 2019-08-04 14:29 (UTC)
Last Updated: 2023-09-21 10:36 (UTC)

Latest Comments

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Henry-ZHR commented on 2023-09-01 04:41 (UTC)

Failed to build: FileNotFoundError: [Errno 2] No such file or directory: 'jax-jax-v0.4.15/dist/jax-0.4.15-py3-*-*.whl'

There is only jax-0.4.15.dev20230901-py3-none-any.whl

daskol commented on 2023-07-18 21:17 (UTC)

@jb53 The issue was caused by python-ml-dtypes (dependency for python-jax). Now it is fixed.

daskol commented on 2023-07-17 08:59 (UTC)

@jb53 It is a bit odd since python-jax does not depend on pybind11 at all whilst python-jaxlib depends on it but pybind11 is vendored and is already resolved dependency.

jb53 commented on 2023-07-16 10:20 (UTC) (edited on 2023-07-16 13:40 (UTC) by jb53)

When I try to install it, I get ERROR Missing dependencies: pybind11~=2.10.0. I have pybind11-2.11.0-1 installed. Anybody knows how to fix this?

EDIT: I downgraded with sudo pacman -U and now it seems to work.

petronny commented on 2023-03-31 07:17 (UTC)

Thanks for the explanation. And now the arch4edu repository starts to provide the prebuilt binaries of python-jax for both x86_64 and aarch64.

daskol commented on 2023-03-28 09:37 (UTC)

@petronny Package python-jax itself is any since it is pure Python package. But it depends on python-numpy, python-ml-dtypes, and, of course, python-jaxlib which are not any.

petronny commented on 2023-03-28 09:35 (UTC)

Hi, is this an any package or should the arch field be set as (x86_64 aarch64) and so on?

daskol commented on 2023-02-12 22:55 (UTC) (edited on 2023-02-12 22:55 (UTC) by daskol)

@carlosal1015 Fixed. Thanks.

FYI There is a Arch package build system maintained by Arch maintainers. So, may be, it is worth to reuse it to build packages instead of building docker images and then install built packages into a docker container.