[tune](deps): Bump pytorch-lightning from 1.4.3 to 1.4.6 in /python/requirements/tune

[dependabot]

Bumps pytorch-lightning from 1.4.3 to 1.4.6.

Release notes

Sourced from pytorch-lightning's releases.

Standard weekly patch release

[1.4.6] - 2021-09-10

• Fixed an issues with export to ONNX format when a model has multiple inputs (#8800)
• Removed deprecation warnings being called for on_{task}_dataloader (#9279)
• Fixed save/load/resume from checkpoint for DeepSpeed Plugin (#8397, #8644, #8627)
• Fixed EarlyStopping running on train epoch end when check_val_every_n_epoch>1 is set (#9156)
• Fixed an issue with logger outputs not being finalized correctly after prediction runs (#8333)
• Fixed the Apex and DeepSpeed plugin closure running after the on_before_optimizer_step hook (#9288)
• Fixed the Native AMP plugin closure not running with manual optimization (#9288)
• Fixed bug where data-loading functions where not getting the correct running stage passed (#8858)
• Fixed intra-epoch evaluation outputs staying in memory when the respective *_epoch_end hook wasn't overridden (#9261)
• Fixed error handling in DDP process reconciliation when _sync_dir was not initialized (#9267)
• Fixed PyTorch Profiler not enabled for manual optimization (#9316)
• Fixed inspection of other args when a container is specified in save_hyperparameters (#9125)
• Fixed signature of Timer.on_train_epoch_end and StochasticWeightAveraging.on_train_epoch_end to prevent unwanted deprecation warnings (#9347)

Contributors

@​ananthsub @​awaelchli @​Borda @​four4fish @​justusschock @​kaushikb11 @​s-rog @​SeanNaren @​tangbinh @​tchaton @​xerus

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

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 :]

... (truncated)

Changelog

Sourced from pytorch-lightning's changelog.

[1.4.6] - 2021-09-07

• Fixed an issues with export to ONNX format when a model has multiple inputs (#8800)
• Removed deprecation warnings being called for on_{task}_dataloader (#9279)
• Fixed save/load/resume from checkpoint for DeepSpeed Plugin ( #8397, #8644, #8627)
• Fixed EarlyStopping running on train epoch end when check_val_every_n_epoch>1 is set (#9156)
• Fixed an issue with logger outputs not being finalized correctly after prediction runs (#8333)
• Fixed the Apex and DeepSpeed plugin closure running after the on_before_optimizer_step hook (#9288)
• Fixed the Native AMP plugin closure not running with manual optimization (#9288)
• Fixed bug where data-loading functions where not getting the correct running stage passed (#8858)
• Fixed intra-epoch evaluation outputs staying in memory when the respective *_epoch_end hook wasn't overridden (#9261)
• Fixed error handling in DDP process reconciliation when _sync_dir was not initialized (#9267)
• Fixed PyTorch Profiler not enabled for manual optimization (#9316)
• Fixed inspection of other args when a container is specified in save_hyperparameters (#9125)
• Fixed signature of Timer.on_train_epoch_end and StochasticWeightAveraging.on_train_epoch_end to prevent unwanted deprecation warnings (#9347)

[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)

Commits

• 00c6640 1.4.6 release
• 3e6df2f Remove todo, ensure we only check rank 0 for deepspeed warning (#9311)
• f2c5f5b Clear reference to training loss at the end of train step (#9336)
• a5ad966 [bugfix] Resolve PyTorch Profiling for Manual Optimization (#9316)
• 4cf6be9 Fix inspection of unspecified args for container hparams (#9125)
• b034fe8 Update hooks.py
• 1abf889 Remove deprecation warnings being called for on_{task}_dataloader (#9279)
• 404dafc Fix TPU cleaning job (#9301)
• f3e24f0 Disable {save,check}_on_train_epoch_end with check_val_every_n_epoch>1 (#...
• 62bb93f Move tracking epoch end outputs logic to the EvaluationEpochLoop (#9261)
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[dependabot]

Superseded by #63.