ggt.metrics.elementwise_mae
===========================

.. py:module:: ggt.metrics.elementwise_mae


Classes
-------

.. autoapisummary::

   ggt.metrics.elementwise_mae.ElementwiseMae


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

.. py:class:: ElementwiseMae(output_transform: Callable = lambda x: x, device: Union[str, torch.device] = torch.device('cpu'), skip_unrolling: bool = False)

   Bases: :py:obj:`ignite.metrics.Metric`


   Calculates the element-wise mean absolute error.


   .. py:method:: reset() -> None

      Resets the metric to its initial state.

      By default, this is called at the start of each epoch.



   .. py:method:: update(output: Sequence[torch.Tensor]) -> None

      Updates the metric's state using the passed batch output.

      By default, this is called once for each batch.

      Args:
          output: the is the output from the engine's process function.



   .. py:method:: compute() -> Union[float, torch.Tensor]

      Computes the metric based on its accumulated state.

      By default, this is called at the end of each epoch.

      Returns:
          Any: | the actual quantity of interest. However, if a :class:`~collections.abc.Mapping` is returned,
               it will be (shallow) flattened into `engine.state.metrics` when
               :func:`~ignite.metrics.metric.Metric.completed` is called.

      Raises:
          NotComputableError: raised when the metric cannot be computed.