version 1.0.7 & update changelog

tchaton · Borda · commit d9ba857ef5ab · 2020-11-17T21:01:58.000+01:00
increase version
diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -33,28 +33,18 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Added
 
-- Added lambda closure to manual_optimizer_step ([#4618](https://github.com/PyTorchLightning/pytorch-lightning/pull/4618))
+- Added lambda closure to `manual_optimizer_step` ([#4618](https://github.com/PyTorchLightning/pytorch-lightning/pull/4618))
 
 ### Changed
 
-- Ci: tpu drop install horovod ([#4622](https://github.com/PyTorchLightning/pytorch-lightning/pull/4622))
-- Ci: Added isort import check for the code on pull-request ([#4242](https://github.com/PyTorchLightning/pytorch-lightning/pull/4242))
-- Increase parity ([#4651](https://github.com/PyTorchLightning/pytorch-lightning/pull/4651))
-- Isolate `PL_DEV_DEBUG` with `unittest.mock` ([#4643](https://github.com/PyTorchLightning/pytorch-lightning/pull/4643))
-- Improve test for `training_step` with no return ([#4109](https://github.com/PyTorchLightning/pytorch-lightning/pull/4109))
-- Updated `CODEOWNERS` ([#4610](https://github.com/PyTorchLightning/pytorch-lightning/pull/4610), [#4610](https://github.com/PyTorchLightning/pytorch-lightning/pull/4610))
-- Change default behaviour of state dict in Metrics ([#4685](https://github.com/PyTorchLightning/pytorch-lightning/pull/4685))
+- Change Metrics `persistent` default mode to `False` ([#4685](https://github.com/PyTorchLightning/pytorch-lightning/pull/4685))
 
 
 ### Fixed
 
 - Prevent crash if `sync_dist=True` on CPU ([#4626](https://github.com/PyTorchLightning/pytorch-lightning/pull/4626))
 - Fixed average pbar Metrics ([#4534](https://github.com/PyTorchLightning/pytorch-lightning/pull/4534))
-- Fixed logger docs and api docs ([#3950](https://github.com/PyTorchLightning/pytorch-lightning/pull/3950))
 - Fixed `setup` callback hook to correctly pass the LightningModule through ([#4608](https://github.com/PyTorchLightning/pytorch-lightning/pull/4608))
-- Fixed docs typo ([#4659](https://github.com/PyTorchLightning/pytorch-lightning/pull/4659), [#4670](https://github.com/PyTorchLightning/pytorch-lightning/pull/4670),
-                   [##4715](https://github.com/PyTorchLightning/pytorch-lightning/pull/#4715), [##4722](https://github.com/PyTorchLightning/pytorch-lightning/pull/#4722))
-- Fixed notebooks typo ([#4657](https://github.com/PyTorchLightning/pytorch-lightning/pull/4657))
 - Allowing decorate model init with saving `hparams` inside ([#4662](https://github.com/PyTorchLightning/pytorch-lightning/pull/4662))
 - Fixed `split_idx` set by `LoggerConnector` in `on_trainer_init` to `Trainer`  ([#4697](https://github.com/PyTorchLightning/pytorch-lightning/pull/4697))
 
@@ -72,7 +62,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 ### Changed
 
 - Changed `fsspec` to tuner ([#4458](https://github.com/PyTorchLightning/pytorch-lightning/pull/4458))
-- Unify sLURM/TorchElastic under backend plugin ([#4578](https://github.com/PyTorchLightning/pytorch-lightning/pull/4578),
+- Unify SLURM/TorchElastic under backend plugin ([#4578](https://github.com/PyTorchLightning/pytorch-lightning/pull/4578),
         [#4580](https://github.com/PyTorchLightning/pytorch-lightning/pull/4580),
         [#4581](https://github.com/PyTorchLightning/pytorch-lightning/pull/4581),
         [#4582](https://github.com/PyTorchLightning/pytorch-lightning/pull/4582),
diff --git a/pytorch_lightning/__init__.py b/pytorch_lightning/__init__.py
@@ -1,6 +1,6 @@
 """Root package info."""
 
-__version__ = '1.0.7rc0'
+__version__ = '1.0.7'
 __author__ = 'William Falcon et al.'
 __author_email__ = 'waf2107@columbia.edu'
 __license__ = 'Apache-2.0'
@@ -53,11 +53,11 @@
     sys.stdout.write(f'Partial import of `{__name__}` during the build process.\n')  # pragma: no-cover
     # We are not importing the rest of the lightning during the build process, as it may not be compiled yet
 else:
-    from pytorch_lightning.core import LightningDataModule, LightningModule
+    from pytorch_lightning import metrics
     from pytorch_lightning.callbacks import Callback
+    from pytorch_lightning.core import LightningDataModule, LightningModule
     from pytorch_lightning.trainer import Trainer
     from pytorch_lightning.utilities.seed import seed_everything
-    from pytorch_lightning import metrics
 
     __all__ = [
         'Trainer',
