Prepare 1.1.3 release (#5365)

* Prepare 1.1.3 release

* Fix flake8 error

* suppress

* Remove 1.1.4 section

* Add missing commits to CHANGELOG

* Update PR template

* Add missing commit

* fix

* Update CHANGELOG.md

* Apply suggestions from code review

* Apply suggestions from code review

Co-authored-by: Jirka Borovec <[email protected]>
Co-authored-by: Jirka Borovec <[email protected]>

Author: carmocca

.github/PULL_REQUEST_TEMPLATE.md

@@ -16,26 +16,26 @@ If we didn't discuss your PR in Github issues there's a high chance it will not
 Fixes # (issue) <- this [links related issue to this PR](https://docs.github.com/en/free-pro-team@latest/github/managing-your-work-on-github/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword)
 
 ## Before submitting
-- [ ] Was this discussed/approved via a Github issue? (no need for typos and docs improvements)
-- [ ] Did you read the [contributor guideline](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/.github/CONTRIBUTING.md), Pull Request section?
+- [ ] Was this discussed/approved via a GitHub issue? (not for typos and docs)
+- [ ] Did you read the [contributor guideline](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/.github/CONTRIBUTING.md), **Pull Request** section?
 - [ ] Did you make sure your PR does only one thing, instead of bundling different changes together?
-- [ ] Did you make sure to update the documentation with your changes [if needed]?
-- [ ] Did you write any new necessary tests [no need for typos, docs]? 
+- [ ] Did you make sure to update the documentation with your changes? (if necessary)
+- [ ] Did you write any new necessary tests? (not for typos and docs)
 - [ ] Did you verify new and existing tests pass locally with your changes?
-- [ ] If you made a notable change (that affects users), did you update the [CHANGELOG](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/CHANGELOG.md)?
+- [ ] Did you update the [CHANGELOG](https://github.com/PyTorchLightning/pytorch-lightning/blob/master/CHANGELOG.md)? (not for typos, docs, test updates, or internal minor changes/refactorings)
 
 <!-- For CHANGELOG separate each item in the unreleased section by a blank line to reduce collisions -->
 
 ## PR review
 Anyone in the community is free to review the PR once the tests have passed.
-Before you start reviewing make sure you have read [Review guidelines](https://github.com/PyTorchLightning/pytorch-lightning/wiki/Review-guidelines). In short, see the following bullet-list:  
+Before you start reviewing make sure you have read [Review guidelines](https://github.com/PyTorchLightning/pytorch-lightning/wiki/Review-guidelines). In short, see the following bullet-list:
 
  - [ ] Is this pull request ready for review? (if not, please submit in draft mode)
  - [ ] Check that all items from **Before submitting** are resolved
  - [ ] Make sure the title is self-explanatory and the description concisely explains the PR
  - [ ] Add labels and milestones (and optionally projects) to the PR so it can be classified
- - [ ] **Check that target branch and milestone are aligned!**
- 
+ - [ ] **Check that target branch and milestone match!**
+
 
 ## Did you have fun?
 Make sure you had fun coding 🙃

CHANGELOG.md

@@ -9,28 +9,25 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Added
 
-- Added a check for optimizer attached to lr_scheduler ([#5338](https://github.com/PyTorchLightning/pytorch-lightning/pull/5338))
-
-- Added `resume_from_checkpoint` accept non-existing file path ([#4402](https://github.com/PyTorchLightning/pytorch-lightning/pull/4402))
-
+- Added a check for optimizer attached to `lr_scheduler` ([#5338](https://github.com/PyTorchLightning/pytorch-lightning/pull/5338))
+- Added support for passing non-existing filepaths to `resume_from_checkpoint` ([#4402](https://github.com/PyTorchLightning/pytorch-lightning/pull/4402))
 
 ### Changed
 
-
-### Deprecated
-
-
-### Removed
-
-
-### Fixed
-
-- Skip restore from `resume_from_checkpoint` in while `testing` ([#5161](https://github.com/PyTorchLightning/pytorch-lightning/pull/5161))
-
+- Skip restore from `resume_from_checkpoint` while `testing` ([#5161](https://github.com/PyTorchLightning/pytorch-lightning/pull/5161))
 - Allowed `log_momentum` for adaptive optimizers in `LearningRateMonitor` ([#5333](https://github.com/PyTorchLightning/pytorch-lightning/pull/5333))
+- Disabled checkpointing, earlystopping and logging with `fast_dev_run` ([#5277](https://github.com/PyTorchLightning/pytorch-lightning/pull/5277))
+- Distributed group defaults to `WORLD` if `None` ([#5125](https://github.com/PyTorchLightning/pytorch-lightning/pull/5125))
 
-- Disabled checkpointing, earlystopping and logger with `fast_dev_run` ([#5277](https://github.com/PyTorchLightning/pytorch-lightning/pull/5277))
+### Fixed
 
+- Fixed `trainer.test` returning non-test metrics ([#5214](https://github.com/PyTorchLightning/pytorch-lightning/pull/5214))
+- Fixed metric state reset ([#5273](https://github.com/PyTorchLightning/pytorch-lightning/pull/5273))
+- Fixed `--num-nodes` on `DDPSequentialPlugin` ([#5327](https://github.com/PyTorchLightning/pytorch-lightning/pull/5327))
+- Fixed invalid value for `weights_summary` ([#5296](https://github.com/PyTorchLightning/pytorch-lightning/pull/5296))
+- Fixed `Trainer.test` not using the latest `best_model_path` ([#5161](https://github.com/PyTorchLightning/pytorch-lightning/pull/5161))
+- Fixed existence check for hparams not using underlying filesystem ([#5250](https://github.com/PyTorchLightning/pytorch-lightning/pull/5250))
+- Fixed `LightningOptimizer` AMP bug ([#5191](https://github.com/PyTorchLightning/pytorch-lightning/pull/5191))
 - Fixed casted key to string in `_flatten_dict` ([#5354](https://github.com/PyTorchLightning/pytorch-lightning/pull/5354))
 
 

pl_examples/basic_examples/mnist_datamodule.py

@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-
+import platform
 from typing import Optional
 
 from torch.utils.data import DataLoader, random_split
@@ -55,6 +55,9 @@ def __init__(
             normalize: If true applies image normalize
         """
         super().__init__(*args, **kwargs)
+        if platform.system() == "Windows":
+            # see: https://stackoverflow.com/a/59680818/4521646
+            num_workers = 0
 
         self.dims = (1, 28, 28)
         self.data_dir = data_dir

pytorch_lightning/__init__.py

@@ -1,6 +1,6 @@
 """Root package info."""
 
-__version__ = '1.1.2'
+__version__ = '1.1.3'
 __author__ = 'William Falcon et al.'
 __author_email__ = '[email protected]'
 __license__ = 'Apache-2.0'

pytorch_lightning/plugins/rpc_plugin.py

@@ -12,18 +12,19 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import os
+from contextlib import suppress
 from typing import Optional
 
 import torch
 
 from pytorch_lightning.core.lightning import LightningModule
 from pytorch_lightning.plugins.ddp_plugin import DDPPlugin
-from pytorch_lightning.utilities import _module_available, RPC_AVAILABLE
+from pytorch_lightning.utilities import RPC_AVAILABLE
 
 DEFAULT_RPC_TIMEOUT_SEC = 60.
 if RPC_AVAILABLE:
     from torch.distributed import rpc
-    if _module_available("torch.distributed.rpc.constants") and hasattr(torch.distributed.rpc.constants, "DEFAULT_RPC_TIMEOUT_SEC"):
+    with suppress(ModuleNotFoundError, ImportError):
         from torch.distributed.rpc.constants import DEFAULT_RPC_TIMEOUT_SEC
 
 

tests/checkpointing/test_model_checkpoint.py

@@ -11,20 +11,20 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from argparse import Namespace
 import os
-from pathlib import Path
 import pickle
 import platform
 import re
+from argparse import Namespace
+from pathlib import Path
 from unittest import mock
 from unittest.mock import Mock
 
 import cloudpickle
-from omegaconf import Container, OmegaConf
 import pytest
 import torch
 import yaml
+from omegaconf import Container, OmegaConf
 
 import pytorch_lightning as pl
 import tests.base.develop_utils as tutils