[bot-automerge] jaxlib v0.1.76

[regro-cf-autotick-bot]

It is very likely that the current package version for this feedstock is out of date.

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• [ ] Dependencies have been updated if changed: see upstream
• [ ] Tests have passed
• [ ] Updated license if changed and license_file is packaged

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Dependency Analysis

Please note that this analysis is highly experimental. The aim here is to make maintenance easier by inspecting the package's dependencies. Importantly this analysis does not support optional dependencies, please double check those before making changes. If you do not want hinting of this kind ever please add bot: inspection: false to your conda-forge.yml. If you encounter issues with this feature please ping the bot team conda-forge/bot.

Analysis of the source code shows a discrepancy between the library's imports and the package's stated requirements in the meta.yaml.

Packages found by inspection but not in the meta.yaml:

• flax
• requests
• typing_extensions
• tensorflow-base
• scikit-bio
• tensorflow
• tabulate
• jax
• opt_einsum

Packages found in the meta.yaml but not found by inspection:

• six Fixes #69 Fixes #66 Fixes #70

_{This PR was created by the regro-cf-autotick-bot. The regro-cf-autotick-bot is a service to automatically track the dependency graph, migrate packages, and propose package version updates for conda-forge. Feel free to drop us a line if there are any issues! This PR was generated by https://github.com/regro/autotick-bot/actions/runs/1757382123, please use this URL for debugging.}

[conda-forge-linter]

Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipe) and found it was in an excellent condition.

[github-actions[bot]]

Hi! This is the friendly conda-forge automerge bot!

I considered the following status checks when analyzing this PR:

• linter: passed
• azure: passed

Thus the PR was passing and merged! Have a great day!

[github-actions[bot]]

Hi! This is the friendly conda-forge automerge bot!

It appears that not all commits to this PR were made by the bot. Thus this PR is not being automatically merged. Please add the automerge label again (or ask a maintainer to do so) if you'd like to enable automerge again!

[xhochy]

@conda-forge/help-osx-arm64 Any ideas why this fails with ERROR: jaxlib-0.1.76-cp310-none-macosx_11_0_arm64.whl is not a supported wheel on this platform.? I'm a bit confused also that locally $SP_DIR is completely empty. I thought we only delete the dylibs from there.

[erykoff]

So I don't know if this line: https://github.com/conda-forge/jaxlib-feedstock/blob/c55d6c9ca314e38d5ea056faff69859abd82b868/recipe/build.sh#L33 works with cross-python. It's not a usage I've seen before, and it might be asking pip to install the arm64 wheel into an x86 env (because that's the only python that can run in cross-mode).

[erykoff]

Would adding something here with pip work?

  --platform <platform>       Only use wheels compatible with <platform>. Defaults to the
                              platform of the running system. Use this option multiple times
                              to specify multiple platforms supported by the target
                              interpreter.

[xhochy]

So I don't know if this line:

https://github.com/conda-forge/jaxlib-feedstock/blob/c55d6c9ca314e38d5ea056faff69859abd82b868/recipe/build.sh#L33

works with cross-python. It's not a usage I've seen before, and it might be asking pip to install the arm64 wheel into an x86 env (because that's the only python that can run in cross-mode).

Yes, it tries to install it into the x86 environment. I'll try with going with unzip instead of pip here and see whether that works.

[erykoff]

Oh my, I just saw how long it takes to build this. Now that's going to create a long debug cycle!

[xhochy]

Oh my, I just saw how long it takes to build this. Now that's going to create a long debug cycle!

Building this locally and working with the environments left behind of failed builds actually, gets this done in okish time.

[erykoff]

Good news is that the osx_arm64 builds seem to be working! Bad news is that it seems to have timed out/lost connection to one of the long linux builds...

[xhochy]

Yeah, this vendors oneDNN, LLVM and protobuf and the mighty tensorflow. It would be nice to get at least one of the first three unvendored.

[xhochy]

We can unvendor some libs but we need to the latest abseil-cpp: https://github.com/conda-forge/abseil-cpp-feedstock/pull/24

[github-actions[bot]]

Hi! This is the friendly conda-forge automerge bot!

Commits were made to this PR after the automerge label was added. For security reasons, I have disabled automerge by removing the automerge label. Please add the automerge label again (or ask a maintainer to do so) if you'd like to enable automerge again!

[xhochy]

I'm working locally on the osx-arm64 builds and Linux fails due to the use of std=c++14, we need std=c++17 for abseil-cpp.

2022-02-15T19:56:22.3781874Z INFO: Found applicable config definition build:posix in file /home/conda/feedstock_root/build_artifacts/jaxlib_1644954789833/work/.bazelrc: --copt=-fvisibility=hidden --copt=-Wno-sign-compare --cxxopt=-std=c++14 --host_cxxopt=-std=c++14

[xhochy]

osx-arm64 needs https://github.com/conda-forge/bazel-toolchain-feedstock/pull/7

[xhochy]

The good news is that in the meanwhile the two patches I have added to the feedstock have been merged into Tensorflow and thus can be removed in a near-future release of jaxlib again.