[tune](deps): Bump pytorch-lightning from 1.0.3 to 1.4.5 in /python/requirements/tune

[dependabot]

Bumps pytorch-lightning from 1.0.3 to 1.4.5.

Release notes

Sourced from pytorch-lightning's releases.

Standard weekly patch release

[1.4.5] - 2021-08-31

• Fixed reduction using self.log(sync_dict=True, reduce_fx={mean,max}) (#9142)
• Fixed not setting a default value for max_epochs if max_time was specified on the Trainer constructor (#9072)
• Fixed the CometLogger, no longer modifies the metrics in place. Instead creates a copy of metrics before performing any operations (#9150)
• Fixed DDP "CUDA error: initialization error" due to a copy instead of deepcopy on ResultCollection (#9239)

Contributors

@​ananthsub @​bamblebam @​carmocca @​daniellepintz @​ethanwharris @​kaushikb11 @​sohamtiwari3120 @​tchaton

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

Standard weekly patch release

[1.4.4] - 2021-08-24

• Fixed a bug in the binary search mode of auto batch size scaling where exception was raised if the first trainer run resulted in OOM (#8954)
• Fixed a bug causing logging with log_gpu_memory='min_max' not working (#9013)

Contributors

@​SkafteNicki @​eladsegal

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

Standard weekly patch release

[1.4.3] - 2021-08-17

• Fixed plateau scheduler stepping on incomplete epoch (#8861)
• Fixed infinite loop with CycleIterator and multiple loaders (#8889)
• Fixed StochasticWeightAveraging with a list of learning rates not applying them to each param group (#8747)
• Restore original loaders if replaced by entrypoint (#8885)
• Fixed lost reference to _Metadata object in ResultMetricCollection (#8932)
• Ensure the existence of DDPPlugin._sync_dir in reconciliate_processes (#8939)

Contributors

@​awaelchli @​carmocca @​justusschock @​tchaton @​yifuwang If we forgot someone due to not matching commit email with GitHub account, let us know :]

Standard weekly patch release

[1.4.2] - 2021-08-10

• Fixed recursive call for apply_to_collection(include_none=False) (#8719)
• Fixed truncated backprop through time enablement when set as a property on the LightningModule and not the Trainer (#8804)

... (truncated)

Changelog

Sourced from pytorch-lightning's changelog.

[1.4.5] - 2021-08-31

• Fixed reduction using self.log(sync_dict=True, reduce_fx={mean,max}) (#9142)
• Fixed not setting a default value for max_epochs if max_time was specified on the Trainer constructor (#9072)
• Fixed the CometLogger, no longer modifies the metrics in place. Instead creates a copy of metrics before performing any operations (#9150)
• Fixed DDP "CUDA error: initialization error" due to a copy instead of deepcopy on ResultCollection (#9239)

[1.4.4] - 2021-08-24

• Fixed a bug in the binary search mode of auto batch size scaling where exception was raised if the first trainer run resulted in OOM (#8954)

• Fixed a bug causing logging with log_gpu_memory='min_max' not working (#9013)

• Fixed wrapping issue: avoid wrapping LightningModule with data-parallel modules when not fitting in DDPPlugin, DDPSpawnPlugin, DDPShardedPlugin, DDPSpawnShardedPlugin ([[autoscaler] Initial support for multiple worker types ray-project/ray#9096]PyTorchLightning/pytorch-lightning#9096)

[1.4.3] - 2021-08-17

• Fixed plateau scheduler stepping on incomplete epoch (#8861)
• Fixed infinite loop with CycleIterator and multiple loaders (#8889)
• Fixed StochasticWeightAveraging with a list of learning rates not applying them to each param group (#8747)
• Restore original loaders if replaced by entrypoint (#8885)
• Fixed lost reference to _Metadata object in ResultMetricCollection (#8932)
• Ensure the existence of DDPPlugin._sync_dir in reconciliate_processes (#8939)

[1.4.2] - 2021-08-10

• Fixed recursive call for apply_to_collection(include_none=False) (#8719)
• Fixed truncated backprop through time enablement when set as a property on the LightningModule and not the Trainer (#8804)
• Fixed comments and exception message for metrics_to_scalars (#8782)
• Fixed typo error in LightningLoggerBase.after_save_checkpoint docstring (#8737)

[1.4.1] - 2021-08-03

• Fixed trainer.fit_loop.split_idx always returning None (#8601)

• Fixed references for ResultCollection.extra (#8622)

• Fixed reference issues during epoch end result collection (#8621)

• Fixed horovod auto-detection when horovod is not installed and the launcher is mpirun (#8610)

• Fixed an issue with training_step outputs not getting collected correctly for training_epoch_end (#8613)

• Fixed distributed types support for CPUs (#8667)

• Fixed a deadlock issue with DDP and torchelastic (#8655)

• Fixed accelerator=ddp choice for CPU (#8645)

• Fixed an issues with export to ONNX format when a model has multiple inputs (#8800)

... (truncated)

Commits

• 645eabe Speed up IPU CI
• 6aec313 Release 1.4.5
• 7312d2f [bugfix] Prevent a DDP failure using copy (#9239)
• 7cefa86 Remove shown_warnings dead code from Trainer (#9230)
• 4b007e6 [bugfix] Changed CometLogger to stop modifying metrics in place (#9150)
• ceb8bdf Fix self.log(sync_dist=True, reduce_fx={mean,max}) (#9142)
• 2edd154 Add tutorial extension to the docs (#9167)
• c0c3742 Check max_time when setting defaults for min/max epochs (#9072)
• 5dffe74 add note (#9141)
• 9e61952 Remove ci tpu test from github workflows (#8965)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #60.