TopicDistQuant
==============

.. py:module:: topmost.models.basic.TSCTM.TopicDistQuant



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



.. autoapisummary::


   topmost.models.basic.TSCTM.TopicDistQuant.TopicDistQuant





.. py:class:: TopicDistQuant(num_embeddings, embedding_dim, commitment_cost=0.1)

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


   Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder. EMNLP 2020

   Xiaobao Wu, Chunping Li, Yan Zhu, Yishu Miao


   .. py:attribute:: _embedding_dim


   .. py:attribute:: _num_embeddings


   .. py:attribute:: _embedding


   .. py:attribute:: _commitment_cost
      :value: 0.1



   .. py:method:: forward(inputs)