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 column indices that match to some row.
  
  The indices returned by this op are always sorted in increasing order.
  
  Returns:
    column_indices: int32 tensor of shape [K] with column indices.
docstr_tok: ["Returns","column","indices","that","match","to","some","row",".","The","indices","returned","by","this","op","are","always","sorted","in","increasing","order",".","Returns",":","column_indices",":","int32","tensor","of","shape","[","K","]","with","column","indices","."]
code: def matched_column_indices(self):
      """Returns column indices that match to some row.
  
      The indices returned by this op are always sorted in increasing order.
  
      Returns:
        column_indices: int32 tensor of shape [K] with column indices.
      """
      return self._reshape_and_cast(
          tf.where(tf.greater(self._match_results, -1))
      )
  
imports: import abc
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling the Match obj's underlying member method code with example usage: obj.matched_column_indices() and returns: self