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Standard weekly patch release
[1.5.6] - 2021-12-15
Fixed
Fixed a bug where the DeepSpeedPlugin arguments cpu_checkpointing and contiguous_memory_optimization were not being forwarded to deepspeed correctly (#10874)
Fixed an issue with NeptuneLogger causing checkpoints to be uploaded with a duplicated file extension (#11015)
Fixed support for logging within callbacks returned from LightningModule (#10991)
Fixed running sanity check with RichProgressBar (#10913)
Fixed support for CombinedLoader while checking for warning raised with eval dataloaders (#10994)
The TQDM progress bar now correctly shows the on_epoch logged values on train epoch end (#11069)
Fixed bug where the TQDM updated the training progress bar during trainer.validate (#11069)
Fixed a bug to disable logging hyperparameters in logger if there are no hparams (#11105)
Avoid the deprecated onnx.export(example_outputs=...) in torch 1.10 (#11116)
Fixed an issue when torch-scripting a LightningModule after training with Trainer(sync_batchnorm=True) (#11078)
Fixed an AttributeError occuring when using a CombinedLoader (multiple dataloaders) for prediction (#11111)
Fixed bug where Trainer(track_grad_norm=..., logger=False) would fail (#11114)
Fixed an incorrect warning being produced by the model summary when using bf16 precision on CPU (#11161)
Changed
DeepSpeed does not require lightning module zero 3 partitioning (#10655)
The ModelCheckpoint callback now saves and restores attributes best_k_models, kth_best_model_path, kth_value, and last_model_path (#10995)
[1.5.6] - 2021-12-15
Fixed
Fixed a bug where the DeepSpeedPlugin arguments cpu_checkpointing and contiguous_memory_optimization were not being forwarded to deepspeed correctly (#10874)
Fixed an issue with NeptuneLogger causing checkpoints to be uploaded with a duplicated file extension (#11015)
Fixed support for logging within callbacks returned from LightningModule (#10991)
Fixed running sanity check with RichProgressBar (#10913)
Fixed support for CombinedLoader while checking for warning raised with eval dataloaders (#10994)
The TQDM progress bar now correctly shows the on_epoch logged values on train epoch end (#11069)
Fixed bug where the TQDM updated the training progress bar during trainer.validate (#11069)
[1.5.5] - 2021-12-07
Fixed
Disabled batch_size extraction for torchmetric instances because they accumulate the metrics internally (#10815)
Fixed an issue with SignalConnector not restoring the default signal handlers on teardown when running on SLURM or with fault-tolerant training enabled (#10611)
Fixed SignalConnector._has_already_handler check for callable type (#10483)
Fixed an issue to return the results for each dataloader separately instead of duplicating them for each (#10810)
Improved exception message if rich version is less than 10.2.2 (#10839)
Fixed uploading best model checkpoint in NeptuneLogger (#10369)
Fixed early schedule reset logic in PyTorch profiler that was causing data leak (#10837)
Fixed a bug that caused incorrect batch indices to be passed to the BasePredictionWriter hooks when using a dataloader with num_workers > 0 (#10870)
Fixed an issue with item assignment on the logger on rank > 0 for those who support it (#10917)
Fixed importing torch_xla.debug for torch-xla<1.8 (#10836)
Fixed an issue with DDPSpawnPlugin and related plugins leaving a temporary checkpoint behind (#10934)
Fixed a TypeError occuring in the SingalConnector.teardown() method (#10961)
[1.5.4] - 2021-11-30
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Commits
98fcf1e Suppress Warning in PredictionEpochLoop (#11189)
1f32923 Avoid torch amp cuda warning with bf16 on cpu (#11161)
ff9c3f9 Add required states for resumed ModelCheckpoint GC (#10995)
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dependabot[bot]
commented
2 years ago
Bumps pytorch-lightning from 1.4.7 to 1.5.7.
Release notes
Sourced from pytorch-lightning's releases.
... (truncated)
Changelog
Sourced from pytorch-lightning's changelog.
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Commits
98fcf1eSuppress Warning inPredictionEpochLoop(#11189)1f32923Avoid torch amp cuda warning with bf16 on cpu (#11161)ff9c3f9Add required states for resumed ModelCheckpoint GC (#10995)0a635d9Safely disable profiler (#11167)502aa74Refactor plugin tests whose assertions don't need to run inon_fit_startho...2264082Add typing fortrainer.logger(#11114)327cba5Remove partitioning of model in ZeRO 3 (#10655)7971e78Avoid the deprecatedonnx.export(example_outputs=...)in torch 1.10 (#11116)a659904Fixed NeptuneLogger when using DDP (#11030)8b2c39bFix tpu spawn plugin test (#11131)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot commands and options
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