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Modified python version check to accommodate for legacy version styles #13420
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LGTM thanks for the quick fix.
Would you mind adding a changelog entry in the "Fixed" section too?
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I left a small comment, but otherwise LGTM
@otaj updated accordingly. |
#13420) Co-authored-by: Carlos Mocholí <[email protected]>
#13420) Co-authored-by: Carlos Mocholí <[email protected]> (cherry picked from commit b332b66)
* update NGC docker (#13136) * update docker * Apply suggestions from code review Co-authored-by: Akihiro Nitta <[email protected]> Co-authored-by: Carlos Mocholí <[email protected]> * Decouple pulling legacy checkpoints from existing GHA workflows and docker files (#13185) * Add pull-legacy-checkpoints action * Replace pulls with the new action and script * Simplify * Merge pull request #13250 from PyTorchLightning/ci/rm-base CI: Remove simple test `ci_test-base.yml` * Update rich requirement from !=10.15.*,<=12.0.0,>=10.2.2 to >=10.2.2,!=10.15.0.a,<13.0.0 in /requirements (#13047) * Update rich requirement in /requirements Updates the requirements on [rich](https://github.com/willmcgugan/rich) to permit the latest version. - [Release notes](https://github.com/willmcgugan/rich/releases) - [Changelog](https://github.com/Textualize/rich/blob/master/CHANGELOG.md) - [Commits](Textualize/rich@v10.2.2...v12.4.1) --- updated-dependencies: - dependency-name: rich dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> * Fix torch.distributed._sharded_tensor DeprecationWarning (#13261) * update tutorials (#13268) * [BUG] `estimated_stepping_batches` requires distributed comms in `configure_optimizers` for `DeepSpeedStrategy` (#13350) * Update torchmetrics requirement from <=0.7.2,>=0.4.1 to >=0.4.1,<0.9.2 in /requirements (#13275) Update torchmetrics requirement in /requirements Updates the requirements on [torchmetrics](https://github.com/PyTorchLightning/metrics) to permit the latest version. - [Release notes](https://github.com/PyTorchLightning/metrics/releases) - [Changelog](https://github.com/PyTorchLightning/metrics/blob/master/CHANGELOG.md) - [Commits](Lightning-AI/torchmetrics@v0.4.1...v0.9.1) --- updated-dependencies: - dependency-name: torchmetrics dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Fix mypy errors for model summary utilities (#13384) * rename org Lightning AI * Modified python version check to accommodate for legacy version styles (#13420) Co-authored-by: Carlos Mocholí <[email protected]> (cherry picked from commit b332b66) * Call `set_epoch` for distributed batch samplers (#13396) Co-authored-by: Jirka <[email protected]> Co-authored-by: Rohit Gupta <[email protected]> (cherry picked from commit 2dd332f) * _RICH_AVAILABLE * _FAIRSCALE_AVAILABLE * _BAGUA_AVAILABLE * redefine * chlog spaces * CI: Fix `fatal: unsafe repository` (#13515) * update release date * CI: azure rename * Restore log step during restart (#13467) Co-authored-by: Carlos Mocholí <[email protected]> * remove redundant test * Update CI setup (#13291) * drop mamba * use legacy GPU machines * fix schema check Co-authored-by: Jirka Borovec <[email protected]> Co-authored-by: Akihiro Nitta <[email protected]> Co-authored-by: Carlos Mocholí <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Adam J. Stewart <[email protected]> Co-authored-by: Sean Naren <[email protected]> Co-authored-by: Adrian Wälchli <[email protected]> Co-authored-by: Jirka <[email protected]> Co-authored-by: Martino Sorbaro <[email protected]>
Lightning-AI#13420) Co-authored-by: Carlos Mocholí <[email protected]>
What does this PR do?
Fixes #13347
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