1.4.6 release commit

Author: awaelchli

CHANGELOG.md

@@ -7,40 +7,21 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ## [1.4.6] - 2021-09-07
 
-- Fixed signature of `Timer.on_train_epoch_end` and `StochasticWeightAveraging.on_train_epoch_end` to prevent unwanted deprecation warnings ([#9347](https://github.com/PyTorchLightning/pytorch-lightning/pull/9347))
-
-
-## [1.4.5] - 2021-08-31
-
 - Fixed an issues with export to ONNX format when a model has multiple inputs ([#8800](https://github.com/PyTorchLightning/pytorch-lightning/pull/8800))
-
 - Removed deprecation warnings being called for `on_{task}_dataloader` ([#9279](https://github.com/PyTorchLightning/pytorch-lightning/pull/9279))
-
 - Fixed save/load/resume from checkpoint for DeepSpeed Plugin (
     [#8397](https://github.com/PyTorchLightning/pytorch-lightning/pull/8397),
     [#8644](https://github.com/PyTorchLightning/pytorch-lightning/pull/8644),
     [#8627](https://github.com/PyTorchLightning/pytorch-lightning/pull/8627))
-
-
 - Fixed `EarlyStopping` running on train epoch end when `check_val_every_n_epoch>1` is set ([#9156](https://github.com/PyTorchLightning/pytorch-lightning/pull/9156))
-
-
 - Fixed an issue with logger outputs not being finalized correctly after prediction runs ([#8333](https://github.com/PyTorchLightning/pytorch-lightning/issues/8333))
-
-
 - Fixed bug where data-loading functions where not getting the correct running stage passed ([#8858](https://github.com/PyTorchLightning/pytorch-lightning/pull/8858))
-
-
 - Fixed intra-epoch evaluation outputs staying in memory when the respective `*_epoch_end` hook wasn't overridden ([#9261](https://github.com/PyTorchLightning/pytorch-lightning/pull/9261))
-
-
 - Fixed error handling in DDP process reconciliation when `_sync_dir` was not initialized ([#9267](https://github.com/PyTorchLightning/pytorch-lightning/pull/9267))
-
-
 - Fixed PyTorch Profiler not enabled for manual optimization ([#9316](https://github.com/PyTorchLightning/pytorch-lightning/pull/9316))
-
-
 - Fixed inspection of other args when a container is specified in `save_hyperparameters` ([#9125](https://github.com/PyTorchLightning/pytorch-lightning/pull/9125))
+- Fixed signature of `Timer.on_train_epoch_end` and `StochasticWeightAveraging.on_train_epoch_end` to prevent unwanted deprecation warnings ([#9347](https://github.com/PyTorchLightning/pytorch-lightning/pull/9347))
+
 
 ## [1.4.5] - 2021-08-31
 

pytorch_lightning/__about__.py

@@ -1,7 +1,7 @@
 import time
 
 _this_year = time.strftime("%Y")
-__version__ = "1.4.5"
+__version__ = "1.4.6"
 __author__ = "William Falcon et al."
 __author_email__ = "[email protected]"
 __license__ = "Apache-2.0"

pytorch_lightning/plugins/training_type/deepspeed.py

@@ -35,11 +35,13 @@
 from pytorch_lightning.utilities.exceptions import MisconfigurationException
 from pytorch_lightning.utilities.imports import _DEEPSPEED_AVAILABLE
 from pytorch_lightning.utilities.types import LRSchedulerTypeTuple
-from pytorch_lightning.utilities.warnings import _warn, LightningDeprecationWarning, warning_cache
+from pytorch_lightning.utilities.warnings import _warn, LightningDeprecationWarning, WarningCache
 
 if _DEEPSPEED_AVAILABLE:
     import deepspeed
 
+warning_cache = WarningCache()
+
 
 def remove_module_hooks(model: torch.nn.Module) -> None:
     # todo (tchaton) awaiting this feature to move upstream to DeepSpeed