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IntelLabs / MART

Modular Adversarial Robustness Toolkit
BSD 3-Clause "New" or "Revised" License
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Update pytorch-lightning requirement from ~=1.6.5 to ~=2.0.1 #128

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

Updates the requirements on pytorch-lightning to permit the latest version.

Release notes

Sourced from pytorch-lightning's releases.

2.0.1 patch release

App

No changes

Fabric

Changed

  • Generalized Optimizer validation to accommodate both FSDP 1.x and 2.x (#16733)

PyTorch

Changed

  • Pickling the LightningModule no longer pickles the Trainer (#17133)
  • Generalized Optimizer validation to accommodate both FSDP 1.x and 2.x (#16733)
  • Disable torch.inference_mode with torch.compile in PyTorch 2.0 (#17215)

Fixed

  • Fixed issue where pickling the module instance would fail with a DataLoader error (#17130)
  • Fixed WandbLogger not showing "best" aliases for model checkpoints when ModelCheckpoint(save_top_k>0) is used (#17121)
  • Fixed the availability check for rich that prevented Lightning to be imported in Google Colab (#17156)
  • Fixed parsing the precision config for inference in DeepSpeedStrategy (#16973)
  • Fixed issue where torch.compile would fail when logging to WandB (#17216)

Contributors

@​Borda @​williamFalcon @​lightningforever @​adamjstewart @​carmocca @​tshu-w @​saryazdi @​parambharat @​awaelchli @​colehawkins @​woqidaideshi @​md-121 @​yhl48 @​gkroiz @​idc9 @​speediedan

If we forgot someone due to not matching commit email with GitHub account, let us know :]

Commits


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dependabot[bot] commented 1 year ago

Superseded by #138.