update changelog after 1.3.8 patch release (#8239)

Co-authored-by: Jirka <jirka.borovec@seznam.cz>

CHANGELOG.md

@@ -121,9 +121,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Add support for optimizers and learning rate schedulers to `LightningCLI` ([#8093](https://github.com/PyTorchLightning/pytorch-lightning/pull/8093))
 
 
-- Add torchelastic check when sanitizing GPUs ([#8095](https://github.com/PyTorchLightning/pytorch-lightning/pull/8095))
-
-
 - Added XLA Profiler ([#8014](https://github.com/PyTorchLightning/pytorch-lightning/pull/8014))
 
 
@@ -232,9 +229,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - `Trainer(resume_from_checkpoint=...)` now restores the model directly after `LightningModule.setup()`, which is before `LightningModule.configure_sharded_model()` ([#7652](https://github.com/PyTorchLightning/pytorch-lightning/pull/7652))
 
 
-- Added a mechanism to detect `deadlock` for `DDP` when only 1 process trigger an `Exception`. The mechanism will `kill the processes` when it happens ([#8167](https://github.com/PyTorchLightning/pytorch-lightning/pull/8167))
-
-
 ### Deprecated
 
 
@@ -308,9 +302,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Fixed
 
-
-- Fixed SWA to also work with `IterableDataset` ([#8172](https://github.com/PyTorchLightning/pytorch-lightning/pull/8172))
-
 - Fixed `lr_scheduler` checkpointed state by calling `update_lr_schedulers` before saving checkpoints ([#7877](https://github.com/PyTorchLightning/pytorch-lightning/pull/7877))
 
 
@@ -338,18 +329,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Pass the `stage` argument of `Callback.{setup,teardown}` as a keyword ([#7973](https://github.com/PyTorchLightning/pytorch-lightning/pull/7973))
 
 
-- Fixed a DDP info message that was never shown ([#8111](https://github.com/PyTorchLightning/pytorch-lightning/pull/8111))
-
-
 - Fixed metrics generated during `validation sanity checking` are cleaned on end ([#8171](https://github.com/PyTorchLightning/pytorch-lightning/pull/8171))
 
 
-- Fixed a bug where an infinite recursion would be triggered when using the `BaseFinetuning` callback on a model that contains a `ModuleDict` ([#8170](https://github.com/PyTorchLightning/pytorch-lightning/pull/8170))
-
-
-- Fixed NCCL error when selecting non-consecutive device ids ([#8165](https://github.com/PyTorchLightning/pytorch-lightning/pull/8165))
-
-
 - Fixed `log_gpu_memory` metrics not being added to `logging` when nothing else is logged ([#8174](https://github.com/PyTorchLightning/pytorch-lightning/pull/8174))
 
 
@@ -359,11 +341,30 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed a bug where using `precision=64` would cause buffers with complex dtype to be cast to real ([#8208](https://github.com/PyTorchLightning/pytorch-lightning/pull/8208))
 
 
+
+## [1.3.8] - 2021-07-01
+
+### Fixed
+
+- Fixed a sync deadlock when checkpointing a `LightningModule` that uses a torchmetrics 0.4 `Metric` ([#8218](https://github.com/PyTorchLightning/pytorch-lightning/pull/8218))
+- Fixed compatibility TorchMetrics v0.4 ([#8206](https://github.com/PyTorchLightning/pytorch-lightning/pull/8206))
+- Added torchelastic check when sanitizing GPUs ([#8095](https://github.com/PyTorchLightning/pytorch-lightning/pull/8095))
+- Fixed a DDP info message that was never shown ([#8111](https://github.com/PyTorchLightning/pytorch-lightning/pull/8111))
+- Fixed metrics deprecation message at module import level ([#8163](https://github.com/PyTorchLightning/pytorch-lightning/pull/8163))
+- Fixed a bug where an infinite recursion would be triggered when using the `BaseFinetuning` callback on a model that contains a `ModuleDict` ([#8170](https://github.com/PyTorchLightning/pytorch-lightning/pull/8170))
+- Added a mechanism to detect `deadlock` for `DDP` when only 1 process trigger an `Exception`. The mechanism will `kill the processes` when it happens ([#8167](https://github.com/PyTorchLightning/pytorch-lightning/pull/8167))
+- Fixed NCCL error when selecting non-consecutive device ids ([#8165](https://github.com/PyTorchLightning/pytorch-lightning/pull/8165))
+- Fixed SWA to also work with `IterableDataset` ([#8172](https://github.com/PyTorchLightning/pytorch-lightning/pull/8172))
+
+
+
 - Fixed a bug where `truncated_bptt_steps` would throw an AttributeError when the target RNN has multiple hidden states ([#8145](https://github.com/PyTorchLightning/pytorch-lightning/pull/8145))
 
 
 ## [1.3.7] - 2021-06-22
 
+### Fixed
+
 - Fixed a bug where skipping an optimizer while using amp causes amp to trigger an assertion error ([#7975](https://github.com/PyTorchLightning/pytorch-lightning/pull/7975))
 - Fixed deprecation messages not showing due to incorrect stacklevel ([#8002](https://github.com/PyTorchLightning/pytorch-lightning/pull/8002), [#8005](https://github.com/PyTorchLightning/pytorch-lightning/pull/8005))
 - Fixed setting a `DistributedSampler` when using a distributed plugin in a custom accelerator ([#7814](https://github.com/PyTorchLightning/pytorch-lightning/pull/7814))
@@ -379,8 +380,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed `DataModule.prepare_data` could only be called on the global rank 0 process ([#7945](https://github.com/PyTorchLightning/pytorch-lightning/pull/7945))
 - Fixed setting `worker_init_fn` to seed dataloaders correctly when using DDP ([#7942](https://github.com/PyTorchLightning/pytorch-lightning/pull/7942))
 - Fixed `BaseFinetuning` callback to properly handle parent modules w/ parameters ([#7931](https://github.com/PyTorchLightning/pytorch-lightning/pull/7931))
-
-
 - Fixes access to `callback_metrics` in ddp_spawn ([#7916](https://github.com/PyTorchLightning/pytorch-lightning/pull/7916))
 
 

tests/checkpointing/test_legacy_checkpoints.py

@@ -69,6 +69,8 @@ CHECKPOINT_EXTENSION = ".ckpt"
         "1.3.4",
         "1.3.5",
         "1.3.6",
+        "1.3.7",
+        "1.3.8",
     ]
 )
 def test_resume_legacy_checkpoints(tmpdir, pl_version: str):