:py:mod:`anomalib.models.fastflow.loss`
=======================================

.. py:module:: anomalib.models.fastflow.loss

.. autoapi-nested-parse::

   Loss function for the FastFlow Model Implementation.



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

Classes
~~~~~~~

.. autoapisummary::

   anomalib.models.fastflow.loss.FastflowLoss




.. py:class:: FastflowLoss

   Bases: :py:obj:`torch.nn.Module`

   FastFlow Loss.

   .. py:method:: forward(hidden_variables: List[torch.Tensor], jacobians: List[torch.Tensor]) -> torch.Tensor

      Calculate the Fastflow loss.

      :param hidden_variables: Hidden variables from the fastflow model. f: X -> Z
      :type hidden_variables: List[Tensor]
      :param jacobians: Log of the jacobian determinants from the fastflow model.
      :type jacobians: List[Tensor]

      :returns: Fastflow loss computed based on the hidden variables and the log of the Jacobians.
      :rtype: Tensor