Bump pytorch-lightning from 1.3.5 to 1.3.8

[dependabot]

Bumps pytorch-lightning from 1.3.5 to 1.3.8.

Release notes

Sourced from pytorch-lightning's releases.

Standard weekly patch release

[1.3.8] - 2021-07-01

Fixed

• Fixed a sync deadlock when checkpointing a LightningModule that uses a torchmetrics 0.4 Metric (#8218)
• Fixed compatibility TorchMetrics v0.4 (#8206)
• Added torchelastic check when sanitizing GPUs (#8095)
• Fixed a DDP info message that was never shown (#8111)
• Fixed metrics deprecation message at module import level (#8163)
• Fixed a bug where an infinite recursion would be triggered when using the BaseFinetuning callback on a model that contains a ModuleDict (#8170)
• Added a mechanism to detect deadlock for DDP when only 1 process trigger an Exception. The mechanism will kill the processes when it happens (#8167)
• Fixed NCCL error when selecting non-consecutive device ids (#8165)
• Fixed SWA to also work with IterableDataset (#8172)

Contributors

@​GabrielePicco @​SeanNaren @​ethanwharris @​carmocca @​tchaton @​justusschock

Hotfix Patch Release

[1.3.7post0] - 2021-06-23

Fixed

• Fixed backward compatibility of moved functions rank_zero_warn and rank_zero_deprecation (#8085)

Contributors

@​kaushikb11 @​carmocca

Standard weekly patch release

[1.3.7] - 2021-06-22

Fixed

• Fixed a bug where skipping an optimizer while using amp causes amp to trigger an assertion error (#7975) This conversation was marked as resolved by carmocca
• Fixed deprecation messages not showing due to incorrect stacklevel (#8002, #8005)
• Fixed setting a DistributedSampler when using a distributed plugin in a custom accelerator (#7814)
• Improved PyTorchProfiler chrome traces names (#8009)
• Fixed moving the best score to device in EarlyStopping callback for TPU devices (#7959)

Contributors

@​yifuwang @​kaushikb11 @​ajtritt @​carmocca @​tchaton

Standard weekly patch release

[1.3.6] - 2021-06-15

... (truncated)

Changelog

Sourced from pytorch-lightning's changelog.

[1.3.8] - 2021-07-01

Fixed

• Fixed a sync deadlock when checkpointing a LightningModule that uses a torchmetrics 0.4 Metric (#8218)
• Fixed compatibility TorchMetrics v0.4 (#8206)
• Added torchelastic check when sanitizing GPUs (#8095)
• Fixed a DDP info message that was never shown (#8111)
• Fixed metrics deprecation message at module import level (#8163)
• Fixed a bug where an infinite recursion would be triggered when using the BaseFinetuning callback on a model that contains a ModuleDict (#8170)
• Added a mechanism to detect deadlock for DDP when only 1 process trigger an Exception. The mechanism will kill the processes when it happens (#8167)
• Fixed NCCL error when selecting non-consecutive device ids (#8165)
• Fixed SWA to also work with IterableDataset (#8172)

[1.3.7] - 2021-06-22

Fixed

• Fixed a bug where skipping an optimizer while using amp causes amp to trigger an assertion error (#7975)
• Fixed deprecation messages not showing due to incorrect stacklevel (#8002, #8005)
• Fixed setting a DistributedSampler when using a distributed plugin in a custom accelerator (#7814)
• Improved PyTorchProfiler chrome traces names (#8009)
• Fixed moving the best score to device in EarlyStopping callback for TPU devices (#7959)
• Fixes access to callback_metrics in ddp_spawn (#7916)

[1.3.6] - 2021-06-15

Fixed

• Fixed logs overwriting issue for remote filesystems (#7889)
• Fixed DataModule.prepare_data could only be called on the global rank 0 process (#7945)
• Fixed setting worker_init_fn to seed dataloaders correctly when using DDP (#7942)
• Fixed BaseFinetuning callback to properly handle parent modules w/ parameters (#7931)

Commits

• 7b3bf48 1.3.8 release commit
• a6beac9 Bugfix/swa iterable dset (#8172)
• a04a30a fix NCCL error with non-consecutive trainer gpus (#8165)
• eb1356a [bugfix] Add mechanism to prevent deadlock for DDP on Exception Trigger (#8167)
• d317ebf Fix module dict in base finetuning (#8170)
• 2856e62 remove message (#8163)
• 26c80c5 resurface lost ddp info message (#8111)
• f56df26 Add torchelastic check when sanitizing GPUs (#8095)
• 0de287b Specify packaging version to be more than 17.0 (#8030)
• afc69e4 compatibility TM v0.4 (#8206)
• Additional commits viewable in compare view

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[codecov-commenter]

Codecov Report

Merging #48 (6f26c99) into main (31e0f64) will not change coverage.
The diff coverage is n/a.

@@           Coverage Diff           @@
##             main      #48   +/-   ##
=======================================
  Coverage   18.34%   18.34%           
=======================================
  Files           7        7           
  Lines         398      398           
=======================================
  Hits           73       73           
  Misses        325      325           

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