class_docstr: Abstract base class for matcher.
docstr: Computes matches among row and column indices and returns the result.
  
  Computes matches among the row and column indices based on the similarity
  matrix and optional arguments.
  
  Args:
    similarity_matrix: Float tensor of shape [N, M] with pairwise similarity
      where higher value means more similar.
    scope: Op scope name. Defaults to 'Match' if None.
    **params: Additional keyword arguments for specific implementations of
      the Matcher.
  
  Returns:
    A Match object with the results of matching.
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code: def match(self, similarity_matrix, scope=None, **params):
      """Computes matches among row and column indices and returns the result.
  
      Computes matches among the row and column indices based on the similarity
      matrix and optional arguments.
  
      Args:
        similarity_matrix: Float tensor of shape [N, M] with pairwise similarity
          where higher value means more similar.
        scope: Op scope name. Defaults to 'Match' if None.
        **params: Additional keyword arguments for specific implementations of
          the Matcher.
  
      Returns:
        A Match object with the results of matching.
      """
      with tf.name_scope(
          scope, "Match", [similarity_matrix, params]
      ) as scope:
          return Match(self._match(similarity_matrix, **params))
  
imports: import abc
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling the Matcher obj's underlying member method code with example usage: obj.match(similarity_matrix, scope) and returns: Match