emmi_inference.models.pipelines.concat_tensor_precollator
=========================================================

.. py:module:: emmi_inference.models.pipelines.concat_tensor_precollator

.. autoapi-nested-parse::

   WARNING
   This file is a 1:1 duplicate from the ``tutorial`` folder.

   It is here to avoid installation of a tutorial as a package and keep it isolated.



Classes
-------

.. autoapisummary::

   emmi_inference.models.pipelines.concat_tensor_precollator.ConcatTensorPreCollator


Module Contents
---------------

.. py:class:: ConcatTensorPreCollator(items, target_key, dim = 0)

   Bases: :py:obj:`ksuit.data.pipeline.SampleProcessor`


   Concatenates multiple tensors into a single tensor.

   :param items: A list of keys in the sample dict whose tensors should be concatenated.
   :param target_key: The key in the sample dict where the concatenated tensor will be stored.
   :param dim: The dimension along which to concatenate the tensors. Defaults to 0.


   .. py:attribute:: items


   .. py:attribute:: target_key


   .. py:attribute:: dim
      :value: 0