dataeval.utils.torch.models.Autoencoder
=======================================

.. py:class:: dataeval.utils.torch.models.Autoencoder(channels = 3)



   An autoencoder model with a separate encoder and decoder.

   :param channels: Number of input channels
   :type channels: int, default 3
   :param Initialize internal Module state:
   :param shared by both nn.Module and ScriptModule.:


   .. py:method:: encode(x)

      Encode the input tensor using the encoder.

      :param x: Input tensor
      :type x: torch.Tensor

      :returns: The encoded representation of the input tensor.
      :rtype: torch.Tensor



   .. py:method:: forward(x)

      Perform a forward pass through the encoder and decoder.

      :param x: Input tensor
      :type x: torch.Tensor

      :returns: The reconstructed output tensor.
      :rtype: torch.Tensor