omniloader
==========

.. py:module:: omniloader

.. autoapi-nested-parse::

   OmniLoader: a PyTorch meta data loader for disjoint, multi-task datasets.

   OmniLoader unifies several datasets with heterogeneous annotations into a single
   masked sample scheme so a model can be trained jointly across all of them. It is
   modality- and model-agnostic: it reasons only about vectors and sequences. See
   :class:`~omniloader.loader.OmniLoader` for the entry point.



Submodules
----------

.. toctree::
   :maxdepth: 1

   /autoapi/omniloader/cli/index
   /autoapi/omniloader/collate/index
   /autoapi/omniloader/config/index
   /autoapi/omniloader/data/index
   /autoapi/omniloader/integrations/index
   /autoapi/omniloader/introspection/index
   /autoapi/omniloader/loader/index
   /autoapi/omniloader/sampling/index
   /autoapi/omniloader/schema/index
   /autoapi/omniloader/templates/index
   /autoapi/omniloader/transforms/index
   /autoapi/omniloader/utils/index


Attributes
----------

.. autoapisummary::

   omniloader.__version__


Package Contents
----------------

.. py:data:: __version__