fix changelog (Lightning-AI#1864)

* fix chlog

* test for Lightning-AI#1729

* hist

* update

* Document use case of passing test dataloaders to Trainer.test() (Lightning-AI#1992)

* Issue 1990 Doc patch.

* Codeblock directive.

* Update to reflect current state of pytorch-lightning

* Final grammar cleaning. I hope these commits are squashed.

* Apply suggestions from code review

* Apply suggestions from code review

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>

Co-authored-by: authman <uapatira@gmail.com>
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>

Author: 3 people

CHANGELOG.md

@@ -26,6 +26,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Allow passing model hyperparameters as complete kwarg list ([#1896](https://github.com/PyTorchLightning/pytorch-lightning/pull/1896)) 
 
+- Re-Enable Logger's `ImportError`s ([#1938](https://github.com/PyTorchLightning/pytorch-lightning/pull/1938))
+
 ### Deprecated
 
 - Dropped official support/testing for older PyTorch versions <1.3 ([#1917](https://github.com/PyTorchLightning/pytorch-lightning/pull/1917))
@@ -34,6 +36,8 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Removed unintended Trainer argument `progress_bar_callback`, the callback should be passed in by `Trainer(callbacks=[...])` instead ([#1855](https://github.com/PyTorchLightning/pytorch-lightning/pull/1855))
 
+- Remove obsolete `self._device` in Trainer ([#1849](https://github.com/PyTorchLightning/pytorch-lightning/pull/1849))
+
 ### Fixed
 
 - Run graceful training teardown on interpreter exit ([#1631](https://github.com/PyTorchLightning/pytorch-lightning/pull/1631))
@@ -50,6 +54,12 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Fixed `LearningRateLogger` in multi-scheduler setting ([#1944](https://github.com/PyTorchLightning/pytorch-lightning/pull/1944))
 
+- Fixed test configuration check and testing ([#1804](https://github.com/PyTorchLightning/pytorch-lightning/pull/1804))
+
+- Fixed an issue with Trainer constructor silently ignoring unknown/misspelled arguments ([#1820](https://github.com/PyTorchLightning/pytorch-lightning/pull/1820))
+
+- Fixed `save_weights_only` in ModelCheckpoint ([#1780](https://github.com/PyTorchLightning/pytorch-lightning/pull/1780))
+
 ## [0.7.6] - 2020-05-16
 
 ### Added
@@ -102,11 +112,6 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Fixed native amp + ddp ([#1788](https://github.com/PyTorchLightning/pytorch-lightning/pull/1788))
 - Fixed `hparam` logging with metrics ([#1647](https://github.com/PyTorchLightning/pytorch-lightning/pull/1647))
 
-
-- Fixed an issue with Trainer constructor silently ignoring unkown/misspelled arguments ([#1820](https://github.com/PyTorchLightning/pytorch-lightning/pull/1820))
-
-- Fixed `save_weights_only` in ModelCheckpoint ([#1780](https://github.com/PyTorchLightning/pytorch-lightning/pull/1780))
-
 ## [0.7.5] - 2020-04-27
 
 ### Changed
@@ -649,16 +654,16 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 - Fixed a bug where `Experiment` object was not process safe, potentially causing logs to be overwritten
 
-## [0.3.5] - 2019-MM-DD
+## [0.3.5] - 2019-07-25
 
-## [0.3.4] - 2019-MM-DD
+## [0.3.4] - 2019-07-22
 
-## [0.3.3] - 2019-MM-DD
+## [0.3.3] - 2019-07-22
 
-## [0.3.2] - 2019-MM-DD
+## [0.3.2] - 2019-07-21
 
-## [0.3.1] - 2019-MM-DD
+## [0.3.1] - 2019-07-21
 
-## [0.2.x] - YYYY-MM-DD
+## [0.2.x] - 2019-07-09
 
-## [0.1.x] - YYYY-MM-DD
+## [0.1.x] - 2019-06-DD

docs/source/test_set.rst

@@ -1,6 +1,6 @@
 Test set
 ========
-Lightning forces the user to run the test set separately to make sure it isn't evaluated by mistake
+Lightning forces the user to run the test set separately to make sure it isn't evaluated by mistake.
 
 
 Test after fit
@@ -15,6 +15,7 @@ To run the test set after training completes, use this method
     # run test set
     trainer.test()
 
+
 Test pre-trained model
 ----------------------
 To run the test set on a pre-trained model, use this method.
@@ -34,4 +35,22 @@ To run the test set on a pre-trained model, use this method.
     trainer.test(model)
 
 In this  case, the options you pass to trainer will be used when
-running the test set (ie: 16-bit, dp, ddp, etc...)
+running the test set (ie: 16-bit, dp, ddp, etc...)
+
+
+Test with additional data loaders
+---------------------------------
+You can still run inference on a test set even if the `test_dataloader` method hasn't been
+defined within your :class:`~pytorch_lightning.core.LightningModule` instance. This would be the case when your test data
+is not available at the time your model was declared.
+
+.. code-block:: python
+
+    # setup your data loader
+    test = DataLoader(...)
+
+    # test (pass in the loader)
+    trainer.test(test_dataloaders=test)
+
+You can either pass in a single dataloader or a list of them. This optional named
+parameter can be used in conjunction with any of the above use cases.

pytorch_lightning/__init__.py

@@ -1,6 +1,6 @@
 """Root package info."""
 
-__version__ = '0.7.7-dev'
+__version__ = '0.8.0-dev'
 __author__ = 'William Falcon et al.'
 __author_email__ = 'waf2107@columbia.edu'
 __license__ = 'Apache-2.0'

tests/test_deprecated.py

@@ -97,7 +97,8 @@ def test_tbd_remove_in_v0_9_0_trainer():
     assert getattr(trainer, 'show_progress_bar')
 
     with pytest.deprecated_call(match='v0.9.0'):
-        _ = Trainer(num_tpu_cores=8)
+        trainer = Trainer(num_tpu_cores=8)
+        assert trainer.tpu_cores == 8
 
 
 def test_tbd_remove_in_v0_9_0_module_imports():