class_docstr: Checks if a particular subgraph matches a given pattern.
docstr: Matches each operation in `ops` against `self._pattern`.
  
  Args:
    ops: collection of `tf.Operation` to match against the pattern.
  
  Yields:
    `MatchResult` for each `tf.Operation` that matches the pattern.
docstr_tok: ["Matches","each","operation","in","`","ops","`","against","`","self._pattern","`",".","Args",":","ops",":","collection","of","`","tf.Operation","`","to","match","against","the","pattern",".","Yields",":","`","MatchResult","`","for","each","`","tf.Operation","`","that","matches","the","pattern","."]
code: def match_ops(self, ops):
      """Matches each operation in `ops` against `self._pattern`.
  
      Args:
        ops: collection of `tf.Operation` to match against the pattern.
  
      Yields:
        `MatchResult` for each `tf.Operation` that matches the pattern.
      """
      for op in ops:
          match_result = self.match_op(op)
          if match_result:
              yield match_result
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  import itertools
  from mmdnn.conversion.common.DataStructure.graph import Graph
label_desc: Use image node_id 4 for calling the GraphMatcher obj's underlying member method code with example usage: obj.match_ops(ops) without return types