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[tune](deps): Bump pytorch-lightning from 1.0.3 to 1.2.4 in /python/requirements #15

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@dependabot dependabot bot commented on behalf of github Mar 17, 2021

Bumps pytorch-lightning from 1.0.3 to 1.2.4.

Release notes

Sourced from pytorch-lightning's releases.

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

Added

Changed

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)
  • Ensure that clip gradients is only called if the value is greater than 0 (#6330)
  • Fixed Trainer not resetting lightning_optimizers when calling Trainer.fit() multiple times (#6372)

Contributors

@​awaelchli, @​carmocca, @​Chizuchizu, @​frankier, @​SeanNaren, @​tchaton

... (truncated)

Changelog

Sourced from pytorch-lightning's changelog.

[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)

  • Fixed when Train loop config was run during Trainer.predict (#6541)

[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
  • Ensure that clip gradients is only called if the value is greater than 0 (#6330
  • Fixed Trainer not resetting lightning_optimizers when calling Trainer.fit() multiple times (#6372)

[1.2.2] - 2021-03-02

Added

  • Added checkpoint parameter to callback's on_save_checkpoint hook (#6072)

Changed

  • Changed the order of backward, step, zero_grad to zero_grad, backward, step (#6147)
  • Changed default for DeepSpeed CPU Offload to False, due to prohibitively slow speeds at smaller scale (#6262)

... (truncated)

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@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Mar 17, 2021
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dependabot bot commented on behalf of github Mar 25, 2021

Superseded by #16.

@dependabot dependabot bot closed this Mar 25, 2021
@dependabot dependabot bot deleted the dependabot/pip/python/requirements/pytorch-lightning-1.2.4 branch March 25, 2021 03:03
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