final cleanup for v0.8.0 (#2181)

* final clean for v0.8.0

* chlog

* chlog

* date

* rename stage

* date

* missing

Author: Borda

CHANGELOG.md

@@ -4,20 +4,8 @@ All notable changes to this project will be documented in this file.
 
 The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
-## [unreleased] - YYYY-MM-DD
 
-### Added
-
-### Changed
-
-### Deprecated
-
-### Removed
-
-### Fixed
-
-
-## [0.8.0] - 2020-06-DD
+## [0.8.0] - 2020-06-18
 
 ### Added
 
@@ -40,6 +28,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added loading checkpoints from URLs ([#1667](https://github.com/PyTorchLightning/pytorch-lightning/issues/1667))
 - Added a callback method `on_keyboard_interrupt` for handling KeyboardInterrupt events during training ([#2134](https://github.com/PyTorchLightning/pytorch-lightning/pull/2134))
 - Added a decorator `auto_move_data` that moves data to the correct device when using the LightningModule for inference ([#1905](https://github.com/PyTorchLightning/pytorch-lightning/pull/1905))
+- Added `ckpt_path` option to `LightningModule.test(...)` to load particular checkpoint ([#2190](https://github.com/PyTorchLightning/pytorch-lightning/issues/2190))
+- Added `setup` and `teardown` hooks for model ([#2229](https://github.com/PyTorchLightning/pytorch-lightning/issues/2229))
 
 ### Changed
 
@@ -52,14 +42,14 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Raise an error when lightning replaces an existing sampler ([#2020](https://github.com/PyTorchLightning/pytorch-lightning/pull/2020))
 - Enabled prepare_data from correct processes - clarify local vs global rank ([#2166](https://github.com/PyTorchLightning/pytorch-lightning/pull/2166))
 - Remove explicit flush from tensorboard logger ([#2126](https://github.com/PyTorchLightning/pytorch-lightning/pull/2126))
-- Changed epoch/step indexing from 1 instead of 0 ([#2206](https://github.com/PyTorchLightning/pytorch-lightning/pull/2206))
+- Changed epoch indexing from 1 instead of 0 ([#2206](https://github.com/PyTorchLightning/pytorch-lightning/pull/2206))
 
 ### Deprecated
 
 - Deprecated flags: ([#2213](https://github.com/PyTorchLightning/pytorch-lightning/pull/2213))
-  * `overfit_pct` >> `overfit_batches`
-  * `val_percent_check` >> `limit_val_batches`
-  * `test_percent_check` >> `limit_test_batches`
+  * `overfit_pct` in favour of `overfit_batches`
+  * `val_percent_check` in favour of `limit_val_batches`
+  * `test_percent_check` in favour of `limit_test_batches`
 - Deprecated `ModelCheckpoint`'s attributes `best` and `kth_best_model` ([#1799](https://github.com/PyTorchLightning/pytorch-lightning/pull/1799))
 - Dropped official support/testing for older PyTorch versions <1.3 ([#1917](https://github.com/PyTorchLightning/pytorch-lightning/pull/1917))
 
@@ -89,8 +79,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed an issue with `_auto_collect_arguments` collecting local variables that are not constructor arguments and not working for signatures that have the instance not named `self` ([#2048](https://github.com/PyTorchLightning/pytorch-lightning/pull/2048))
 - Fixed mistake in parameters' grad norm tracking ([#2012](https://github.com/PyTorchLightning/pytorch-lightning/pull/2012))
 - Fixed CPU and hanging GPU crash ([#2118](https://github.com/PyTorchLightning/pytorch-lightning/pull/2118))
-
 - Fixed an issue with the model summary and `example_input_array` depending on a specific ordering of the submodules in a LightningModule ([#1773](https://github.com/PyTorchLightning/pytorch-lightning/pull/1773))
+- Fixed Tpu logging ([#2230](https://github.com/PyTorchLightning/pytorch-lightning/pull/2230))
+- Fixed Pid port + duplicate `rank_zero` logging ([#2140](https://github.com/PyTorchLightning/pytorch-lightning/pull/2140), [#2231](https://github.com/PyTorchLightning/pytorch-lightning/pull/2231))
 
 ## [0.7.6] - 2020-05-16
 

README.md

@@ -47,6 +47,8 @@ conda install pytorch-lightning -c conda-forge
 
 ## Docs
 - [master](https://pytorch-lightning.readthedocs.io/en/latest)
+- [stable](https://pytorch-lightning.readthedocs.io/en/stable)
+- [0.8.0](https://pytorch-lightning.readthedocs.io/en/0.8.0/)
 - [0.7.6](https://pytorch-lightning.readthedocs.io/en/0.7.6/)
 - [0.7.5](https://pytorch-lightning.readthedocs.io/en/0.7.5/)
 - [0.7.3](https://pytorch-lightning.readthedocs.io/en/0.7.3/)

pytorch_lightning/__init__.py

@@ -1,6 +1,6 @@
 """Root package info."""
 
-__version__ = '0.8.0rc4'
+__version__ = '0.8.0'
 __author__ = 'William Falcon et al.'
 __author_email__ = '[email protected]'
 __license__ = 'Apache-2.0'
@@ -50,11 +50,10 @@
     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 LightningModule
+    from pytorch_lightning.core import LightningModule, data_loader
+    from pytorch_lightning.callbacks import Callback
     from pytorch_lightning.trainer import Trainer
     from pytorch_lightning.utilities.seed import seed_everything
-    from pytorch_lightning.callbacks import Callback
-    from pytorch_lightning.core import data_loader
 
     __all__ = [
         'Trainer',

pytorch_lightning/callbacks/base.py

@@ -14,11 +14,11 @@ class Callback(abc.ABC):
     Abstract base class used to build new callbacks.
     """
 
-    def setup(self, trainer, step: str):
+    def setup(self, trainer, stage: str):
         """Called when fit or test begins"""
         pass
 
-    def teardown(self, trainer, step: str):
+    def teardown(self, trainer, stage: str):
         """Called when fit or test ends"""
         pass
 

pytorch_lightning/core/hooks.py

@@ -17,15 +17,15 @@
 
 class ModelHooks(Module):
 
-    def setup(self, step: str):
+    def setup(self, stage: str):
         """
         Called at the beginning of fit and test.
 
         Args:
             step: either 'fit' or 'test'
         """
 
-    def teardown(self, step: str):
+    def teardown(self, stage: str):
         """
         Called at the end of fit and test.
 

pytorch_lightning/trainer/callback_hook.py

@@ -11,15 +11,15 @@ class TrainerCallbackHookMixin(ABC):
     callbacks: List[Callback] = []
     get_model: Callable = ...
 
-    def setup(self, step: str):
+    def setup(self, stage: str):
         """Called in the beginning of fit and test"""
         for callback in self.callbacks:
-            callback.setup(self, step)
+            callback.setup(self, stage)
 
-    def teardown(self, step: str):
+    def teardown(self, stage: str):
         """Called at the end of fit and test"""
         for callback in self.callbacks:
-            callback.teardown(self, step)
+            callback.teardown(self, stage)
 
     def on_init_start(self):
         """Called when the trainer initialization begins, model has not yet been set."""