parameters: (self)
return_statement: return self._reshape_and_cast(
              tf.gather(self._match_results, self.matched_column_indices())
          )
docstring: 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.
docstring_summary: Returns row indices that match some column.
docstring_tokens: Returns row indices that match some column .
function: 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())
          )
function_tokens: def matched_row_indices ( self ) : return self . _reshape_and_cast ( tf . gather ( self . _match_results , self . matched_column_indices ( ) ) )