autoencoders pretraining using RGB faces

Codes allowing to pre-train an autoencoder, using RGB facial images from the CelebA database.

bob/learn/pytorch/datasets/__init__.py

@@ -12,25 +12,5 @@ from .utils import Resize
 from .utils import map_labels
 from .utils import ConcatDataset
 
-# gets sphinx autodoc done right - don't remove it
-def __appropriate__(*args):
-    """Says object was actually declared here, and not in the import module.
-  Fixing sphinx warnings of not being able to find classes, when path is
-  shortened. Parameters:
-
-    *args: An iterable of objects to modify
-
-  Resolves `Sphinx referencing issues
-  <https://github.com/sphinx-doc/sphinx/issues/3048>`
-  """
-
-    for obj in args:
-        obj.__module__ = __name__
-
-
-__appropriate__(
-    DataFolder,
-)
-
 __all__ = [_ for _ in dir() if not _.startswith('_')]