* Upgrade DQN to use .log

* remove unused

* pep8

* fixed other dqn

* Decouple dms from CPCV2

* Update tests

…verse#344)

* bugfix: batch_size for DataModules remaining

* Update sklearn datamodule tests

* Fix default_transforms. Keep internal for every data module

* fix typo on binary_mnist_datamodule

thanks @akihironitta

Co-authored-by: Akihiro Nitta <nitta@akihironitta.com>

Co-authored-by: Akihiro Nitta <nitta@akihironitta.com>

missing a ' at the end of dataset='stl10

…iverse#414)

* Use cached datasets

* Use cached datasets in doctests

…se#430)

* Add missing imports

* Add missing imports

* Apply isort

…ning-Universe#433)

* Add mypy check to GitHub Actions

* Run mypy on pl_bolts only

* Add mypy check to pre-commit

* Add an empty line at the end of files

* Update mypy config

* Update mypy config

* Update mypy config

* show

Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com>

* Run mypy on pl_bolts only

* Update mypy config

* Add type hints to pl_bolts/__init__.py

* mypy

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

* add option to normalize latent interpolation images

* linspace

* update

Co-authored-by: ananyahjha93 <ananya@pytorchlightning.ai>

* Revert "Merge pull request Lightning-Universe#1 from ganprad/warnings_fix"

This reverts commit 7c5aaf0.

* Fixes warning related np.integer in SklearnDataModule

Fixes this warning:
```DeprecationWarning: Converting `np.integer` or `np.signedinteger` to a dtype is deprecated. The current result is `np.dtype(np.int_)` which is not strictly correct. Note that the result depends on the system. To ensure stable results use may want to use `np.int64` or `np.int32````

* Remove try: ... except: ...

* Fix experience_source

* Fix imagenet

* Fix kitti

* Fix sklearn

* Fix vocdetection

* Fix typo

* Remove duplicate

* Fix by flake8

* Add optional packages availability vars

* binary_mnist

* Use pl_bolts._SKLEARN_AVAILABLE

* Apply isort

* cifar10

* mnist

* cityscapes

* fashion mnist

* ssl_imagenet

* stl10

* cifar10

* dummy

* fix city

* fix stl10

* fix mnist

* ssl_amdim

* remove unused DataLoader and fix docs

* use from ... import ...

* fix pragma: no cover

* Fix forward reference in annotations

* binmnist

* Same order as imports

* Move vars from __init__ to utils/__init__

* Remove vars from __init__

* Update vars

* Apply isort

* update min requirements

* rc0

* imports

* isort

* flake8

* 1.1.1

* flake8

* docs

…erse#450)

* Import matplotlib at the top

* Add missing optional packages

* Update wandb

* Add mypy to requirements

* Adding flags to datamodules

* Finishing up changes

* Fixing syntax error

* More syntax errors

* More

* Adding drop_last flag to sklearn test

* Adding drop_last flag to sklearn test

* Updating doc for reflect drop_last=False

* Adding flags to datamodules

* Finishing up changes

* Fixing syntax error

* More syntax errors

* More

* Adding drop_last flag to sklearn test

* Adding drop_last flag to sklearn test

* Updating doc for reflect drop_last=False

* Cleaning up parameters and docstring

* Fixing syntax error

* Fixing documentation

* Hardcoding shuffle=False for val and test

…Universe#458)

* Import gym as optional package

* Fix import

* Apply isort

…verse#344)

* bugfix: batch_size for DataModules remaining

* Update sklearn datamodule tests

* Fix default_transforms. Keep internal for every data module

* fix typo on binary_mnist_datamodule

thanks @akihironitta

Co-authored-by: Akihiro Nitta <nitta@akihironitta.com>

Co-authored-by: Akihiro Nitta <nitta@akihironitta.com>

* add option to normalize latent interpolation images

* linspace

* update

Co-authored-by: ananyahjha93 <ananya@pytorchlightning.ai>

* update min requirements

* rc0

* imports

* isort

* flake8

* 1.1.1

* flake8

* docs