text: #-*-coding:utf-8-*-
  """
      Sparse matching module
      The purpose of this module is to calculate the probability volume
      Using the proba volume to obtain the disparity expectation
      The official implementation is done in CUDA (.cu)
      @author Sentinel
      @date 2021.9.19
  """
  
  import torch
  from torch import nn
  
  """
      This should be a parallel program, yet direct python implementation inhibits concurrency
      Without CUDA, the pixel-wise operation will be slow.
  """
  class SparseMatch(nn.Module):
      def __init__(self):
          super().__init__()
  