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Bump pytorch-lightning from 0.7.2 to 1.2.5 #27

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@dependabot dependabot bot commented on behalf of github Mar 25, 2021

Bumps pytorch-lightning from 0.7.2 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 25, 2021
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dependabot bot commented on behalf of github Mar 31, 2021

Superseded by #29.

@dependabot dependabot bot closed this Mar 31, 2021
@dependabot dependabot bot deleted the dependabot/pip/pytorch-lightning-1.2.5 branch March 31, 2021 06:57
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