emmi_inference.models.pipelines.default_tensor_precollator
==========================================================

.. py:module:: emmi_inference.models.pipelines.default_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.default_tensor_precollator.DefaultTensorPreCollator


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

.. py:class:: DefaultTensorPreCollator(item_key_name, feature_dim, size = None, matching_item_key = None, default_value = 0.0)

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


   Create a tensor with a fixed dummy value, with a specified size.

   Initializes the DefaulTensorPreCollator.

   :param item_key_name: _description_
   :param default_value: _description_
   :param feature_dim: _description_
   :param size: _description_
   :param matching_item_key: _description_


   .. py:attribute:: item_key_name


   .. py:attribute:: feature_dim


   .. py:attribute:: size
      :value: None



   .. py:attribute:: matching_item_key
      :value: None



   .. py:attribute:: default_value
      :value: 0.0