chore(deps): update dependency lightning to v2.0.2 #485
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## main #485 +/- ##
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- Coverage 20.50% 20.37% -0.14%
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Files 38 38
Lines 3282 3318 +36
Branches 440 450 +10
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+ Hits 673 676 +3
- Misses 2591 2625 +34
+ Partials 18 17 -1
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* docs(readme_zh_cn): update README_zh_CN.md (voicepaw#477) Co-authored-by: 宇宇 <47858007+xieyumc@users.noreply.github.com> * docs: add acekagami as a contributor for translation (voicepaw#486) * docs: update README.md [skip ci] * docs: update .all-contributorsrc [skip ci] --------- Co-authored-by: allcontributors[bot] <46447321+allcontributors[bot]@users.noreply.github.com> * chore(deps): update dependency lightning to v2.0.2 (voicepaw#485) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> * chore(deps): update relekang/python-semantic-release action to v7.33.3 (voicepaw#490) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> * chore(deps): update pre-commit hook asottile/pyupgrade to v3.3.2 (voicepaw#489) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> * chore(deps): update dependency flask to v2.3.1 (voicepaw#494) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> * chore(deps): update dependency requests to v2.29.0 (voicepaw#496) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> * docs(readme): fix typo in README.md --------- Co-authored-by: acekagami <127201056+acekagami@users.noreply.github.com> Co-authored-by: 宇宇 <47858007+xieyumc@users.noreply.github.com> Co-authored-by: allcontributors[bot] <46447321+allcontributors[bot]@users.noreply.github.com> Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: Ikko Eltociear Ashimine <eltociear@gmail.com>
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This PR contains the following updates:
2.0.1->2.0.2Release Notes
Lightning-AI/lightning
v2.0.2: Minor patch release: App jobsCompare Source
App
Fixed
AppState, streamlit example (#17452)Fabric
Changed
Fixed
LightningModule.*_stepmethods bypassing the DDP/FSDP wrapper (#17424)Fabric.setup()when the model has no parameters (#17441)PyTorch
Fixed
Model.load_from_checkpoint("checkpoint.ckpt", map_location=map_location)would always return model on CPU (#17308)num_nodesnot to be set correctly forFSDPStrategy(#17438)Contributors
@awaelchli, @borda, @carmocca, @ethanwharris, @ryan597, @tchaton
If we forgot someone due to not matching commit email with GitHub account, let us know :]
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