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[tune](deps): Bump pytorch-lightning from 1.0.3 to 1.2.5 in /python/requirements#29

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[tune](deps): Bump pytorch-lightning from 1.0.3 to 1.2.5 in /python/requirements#29
dependabot[bot] wants to merge 1 commit intomasterfrom
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@dependabot dependabot bot commented on behalf of github Mar 24, 2021

Bumps pytorch-lightning from 1.0.3 to 1.2.5.

Release notes

Sourced from pytorch-lightning's releases.

Weekly patch release - torchmetrics compatibility

[1.2.5] - 2021-03-23

Changed

  • Added Autocast in validation, test and predict modes for Native AMP (#6565)
  • Update Gradient Clipping for the TPU Accelerator (#6576)
  • Refactored setup for typing friendly (#6590)

Fixed

  • Fixed a bug where all_gather would not work correctly with tpu_cores=8 (#6587)
  • Fixed comparing required versions (#6434)
  • Fixed duplicate logs appearing in console when using the python logging module (#6275)

Contributors

@​awaelchli, @​Borda, @​ethanwharris, @​justusschock, @​kaushikb11

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

Standard weekly patch release

[1.2.4] - 2021-03-16

Changed

  • Changed the default of find_unused_parameters back to True in DDP and DDP Spawn (#6438)

Fixed

  • Expose DeepSpeed loss parameters to allow users to fix loss instability (#6115)
  • Fixed DP reduction with collection (#6324)
  • Fixed an issue where the tuner would not tune the learning rate if also tuning the batch size (#4688)
  • Fixed broadcast to use PyTorch broadcast_object_list and add reduce_decision (#6410)
  • Fixed logger creating directory structure too early in DDP (#6380)
  • Fixed DeepSpeed additional memory use on rank 0 when default device not set early enough (#6460)
  • Fixed DummyLogger.log_hyperparams raising a TypeError when running with fast_dev_run=True (#6398)
  • Fixed an issue with Tuner.scale_batch_size not finding the batch size attribute in the datamodule (#5968)
  • Fixed an exception in the layer summary when the model contains torch.jit scripted submodules (#6511)
  • Fixed when Train loop config was run during Trainer.predict (#6541)

Contributors

@​awaelchli, @​kaushikb11, @​Palzer, @​SeanNaren, @​tchaton

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

Standard weekly patch release

[1.2.3] - 2021-03-09

... (truncated)

Changelog

Sourced from pytorch-lightning's changelog.

[1.2.5] - 2021-03-23

Changed

  • Update Gradient Clipping for the TPU Accelerator (#6576)
  • Refactored setup for typing friendly (#6590)

Fixed

  • Fixed a bug where all_gather would not work correctly with tpu_cores=8 (#6587)
  • Fixed comparing required versions (#6434)
  • Fixed duplicate logs appearing in console when using the python logging module (#6275)
  • Added Autocast in validation, test and predict modes for Native AMP (#6565)

[1.2.4] - 2021-03-16

Changed

  • Changed the default of find_unused_parameters back to True in DDP and DDP Spawn (#6438)

Fixed

  • Expose DeepSpeed loss parameters to allow users to fix loss instability (#6115)
  • Fixed DP reduction with collection (#6324)
  • Fixed an issue where the tuner would not tune the learning rate if also tuning the batch size (#4688)
  • Fixed broadcast to use PyTorch broadcast_object_list and add reduce_decision (#6410)
  • Fixed logger creating directory structure too early in DDP (#6380)
  • Fixed DeepSpeed additional memory use on rank 0 when default device not set early enough (#6460)
  • Fixed DummyLogger.log_hyperparams raising a TypeError when running with fast_dev_run=True (#6398)
  • Fixed an issue with Tuner.scale_batch_size not finding the batch size attribute in the datamodule (#5968)
  • Fixed an exception in the layer summary when the model contains torch.jit scripted submodules (#6511)
  • Fixed when Train loop config was run during Trainer.predict (#6541)
  • Expose DeepSpeed loss parameters to allow users to fix loss instability (#6115

[1.2.3] - 2021-03-09

Fixed

  • Fixed ModelPruning(make_pruning_permanent=True) pruning buffers getting removed when saved during training (#6073)
  • Fixed when _stable_1d_sort to work when n >= N (#6177)
  • Fixed AttributeError when logger=None on TPU (#6221)
  • Fixed PyTorch Profiler with emit_nvtx (#6260)
  • Fixed trainer.test from best_path hangs after calling trainer.fit (#6272)
  • Fixed SingleTPU calling all_gather (#6296)
  • Ensure we check deepspeed/sharded in multinode DDP (#6297
  • Check LightningOptimizer doesn't delete optimizer hooks (#6305
  • Resolve memory leak for evaluation (#6326

... (truncated)

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@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Mar 24, 2021
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dependabot bot commented on behalf of github Apr 3, 2021

Superseded by #31.

@dependabot dependabot bot closed this Apr 3, 2021
@dependabot dependabot bot deleted the dependabot/pip/python/requirements/pytorch-lightning-1.2.5 branch April 3, 2021 07:03
simon-mo pushed a commit that referenced this pull request Nov 8, 2022
…9164)" (#29… (ray-project#29196)

This reverts the PR and fixes the test failures

This also fixes a bug around _monitor_jobs API. the monitor job can be called on the same job twice now, which will break the event (because at the end of monitor job, we record the event that job is completed). The same completed event can be reported twice without the fix
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