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Install the latest developer version of llvmlite via conda on AArch64

See original GitHub issue

We can install the latest developer version of llvmlite via conda with simple command conda install -c numba/label/dev llvmite on x86_64, but the current version on AArch64 is llvmlite-0.32.0dev0 which is a much early version, maybe we should update the corresponding packages.

Issue Analytics

  • State:closed
  • Created 2 years ago
  • Comments:5 (3 by maintainers)

github_iconTop GitHub Comments

1reaction
esccommented, Jul 26, 2021

@esc I can find the linux-aarch64/llvmlite-0.38.0dev0-py38hbfd4b83_0.tar.bz2 packages in the list you provided, so it may be that my operating system has small issues on conda support. The operating system I use is OpenEuler. I closed this issue and would notify you if there are new discoveries. Thanks for your quick reply and your patience.

OK, no worries, please don’t hesitate to re-open in case you don’t manage to resolve.

0reactions
esccommented, Jul 26, 2021

I am unable to reproduce on a raspberry-pi:

(llvmlite-test02) vhaenel@colo-rpi64-01:~$ conda install -c numba/label/dev llvmlite
Collecting package metadata (current_repodata.json): done
Solving environment: done


==> WARNING: A newer version of conda exists. <==
  current version: 4.10.1
  latest version: 4.10.3

Please update conda by running

    $ conda update -n base conda



## Package Plan ##

  environment location: /home/vhaenel/miniforge3/envs/llvmlite-test02

  added / updated specs:
    - llvmlite


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    llvmlite-0.38.0dev0        |   py39hbfd4b83_0        23.6 MB  numba/label/dev
    ------------------------------------------------------------
                                           Total:        23.6 MB

The following NEW packages will be INSTALLED:

  llvmlite           numba/label/dev/linux-aarch64::llvmlite-0.38.0dev0-py39hbfd4b83_0

Do you have more information about what kind of aarch64 machine you have? Maybe the miniconda/miniforge version?

Read more comments on GitHub >

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