Bump pytorch-lightning from 1.1.8 to 1.2.4

[dependabot]

Bumps pytorch-lightning from 1.1.8 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

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

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

Standard weekly patch release

[1.2.2] - 2021-03-02

... (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 a bug where all_gather would not work correctly with tpu_cores=8 (#6587)

• Update Gradient Clipping for the TPU Accelerator (#6576)

[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

... (truncated)

Commits

• 7114c2d Fixed reference in test
• f0ad06a Expose DeepSpeed FP16 parameters due to loss instability (#6115)
• 953c873 Fix: Train loop config validation was run during trainer.predict (#6541)
• c954fbc v1.2.4 & chnagelog
• 6bb24c2 [bug] Update broadcast + reduce decision ModelCheckpoint] (#6410)
• 4b762a9 refactor reading env defaults (#6510)
• 0e8f4a8 Custom Plugin is_distributed (#6537)
• c8fb646 fix attribute access in LightningModule.toggle_optimizer (#6513)
• 342d097 CI: resume testing with py3.8 (#6516)
• 50aedad Handle torch.jit scripted modules in layer summary (#6511)
• Additional commits viewable in compare view

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[dependabot]

Looks like pytorch-lightning is up-to-date now, so this is no longer needed.