TrainingExtensions/tensorflow/src/python/aimet_tensorflow/common/connectedgraph.py
def _process_starting_ops(self, starting_op_names):
        """ Given name of the starting op, create the op in self._ops and add its children to the queue """

        for start_op_name in starting_op_names:
            starting_op = self._graph.get_operation_by_name(start_op_name)
            if starting_op in self._valid_ops:
                starting_op_info = self._module_identifier.get_op_info(starting_op)
                op = Op(name=starting_op_info.module_name,
                        dotted_name=starting_op_info.module_name,
                        output_shape=None,
                        is_anonymous=False,
                        op_type=starting_op_info.op_type,
                        pattern_type=starting_op_info.pattern_type,
                        internal_ops=starting_op_info.internal_ops)
                fill_op_info(op, starting_op_info)
                self._ops[starting_op_info.module_name] = op
                self._add_children_ops_to_op_queue(starting_op)
                self.starting_ops.append(op)
 Given name of the starting op, create the op in self._ops and add its children to the queue 
Given name of the starting op, create the op in self._ops and add its children to the queue
Given name of the starting op create the op in self . _ops and add its children to the queue
def _process_starting_ops(self, starting_op_names):
        for start_op_name in starting_op_names:
            starting_op = self._graph.get_operation_by_name(start_op_name)
            if starting_op in self._valid_ops:
                starting_op_info = self._module_identifier.get_op_info(starting_op)
                op = Op(name=starting_op_info.module_name,
                        dotted_name=starting_op_info.module_name,
                        output_shape=None,
                        is_anonymous=False,
                        op_type=starting_op_info.op_type,
                        pattern_type=starting_op_info.pattern_type,
                        internal_ops=starting_op_info.internal_ops)
                fill_op_info(op, starting_op_info)
                self._ops[starting_op_info.module_name] = op
                self._add_children_ops_to_op_queue(starting_op)
                self.starting_ops.append(op)
def _process_starting_ops ( self , starting_op_names ) : for start_op_name in starting_op_names : starting_op = self . _graph . get_operation_by_name ( start_op_name ) if starting_op in self . _valid_ops : starting_op_info = self . _module_identifier . get_op_info ( starting_op ) op = Op ( name = starting_op_info . module_name , dotted_name = starting_op_info . module_name , output_shape = None , is_anonymous = False , op_type = starting_op_info . op_type , pattern_type = starting_op_info . pattern_type , internal_ops = starting_op_info . internal_ops ) fill_op_info ( op , starting_op_info ) self . _ops [ starting_op_info . module_name ] = op self . _add_children_ops_to_op_queue ( starting_op ) self . starting_ops . append ( op )
Given name of the starting op, create the op in self._ops and add its children to the queue
Given name of the starting op create the op in self . _ops and add its children to the queue
""" Given name of the starting op, create the op in self._ops and add its children to the queue """
self
starting_op_names