Encoder
=======

.. py:module:: topmost.models.Encoder



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



.. autoapisummary::


   topmost.models.Encoder.MLPEncoder





.. py:class:: MLPEncoder(vocab_size, num_topic, hidden_dim, dropout)

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


   .. py:attribute:: fc11


   .. py:attribute:: fc12


   .. py:attribute:: fc21


   .. py:attribute:: fc22


   .. py:attribute:: fc1_drop


   .. py:attribute:: z_drop


   .. py:attribute:: mean_bn


   .. py:attribute:: logvar_bn


   .. py:method:: reparameterize(mu, logvar)


   .. py:method:: forward(x)