class_docstr: Class to store results from the matcher.
  
  This class is used to store the results from the matcher. It provides
  convenient methods to query the matching results.
docstr: Returns row indices that match some column.
  
  The indices returned by this op are ordered so as to be in correspondence
  with the output of matched_column_indicator().  For example if
  self.matched_column_indicator() is [0,2], and self.matched_row_indices() is
  [7, 3], then we know that column 0 was matched to row 7 and column 2 was
  matched to row 3.
  
  Returns:
    row_indices: int32 tensor of shape [K] with row indices.
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code: def matched_row_indices(self):
      """Returns row indices that match some column.
  
      The indices returned by this op are ordered so as to be in correspondence
      with the output of matched_column_indicator().  For example if
      self.matched_column_indicator() is [0,2], and self.matched_row_indices() is
      [7, 3], then we know that column 0 was matched to row 7 and column 2 was
      matched to row 3.
  
      Returns:
        row_indices: int32 tensor of shape [K] with row indices.
      """
      return self._reshape_and_cast(
          tf.gather(self._match_results, self.matched_column_indices())
      )
  
imports: import abc
  import tensorflow.compat.v1
label_desc: Use image node_id 13 for calling the Match obj's underlying member method code with example usage: obj.matched_row_indices() and returns: self