class_docstr: Represents a debugger-decorated graph.
docstr: Prune control edges related to the debug ops.
docstr_tok: ["Prune","control","edges","related","to","the","debug","ops","."]
code: def _prune_control_edges_of_debug_ops(self):
      """Prune control edges related to the debug ops."""
      for node in self._node_ctrl_inputs:
          ctrl_inputs = self._node_ctrl_inputs[node]
          debug_op_inputs = []
          for ctrl_inp in ctrl_inputs:
              if is_debug_node(ctrl_inp):
                  debug_op_inputs.append(ctrl_inp)
          for debug_op_inp in debug_op_inputs:
              ctrl_inputs.remove(debug_op_inp)
  
imports: from tensorflow.core.framework import graph_pb2
  from tensorflow.python.framework import op_def_registry
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 6 for calling the DebugGraph obj's underlying member method code with example usage: obj._prune_control_edges_of_debug_ops() without return types