code: def fuse_alias_placeholder(predict_net, init_net):
      """Remove AliasWithName placeholder and rename the input/output of it"""
      # First we finish all the re-naming
      for i, op in enumerate(predict_net.op):
          if op.type == "AliasWithName":
              assert len(op.input) == 1
              assert len(op.output) == 1
              name = get_pb_arg_vals(op, "name", None).decode()
              is_backward = bool(get_pb_arg_vali(op, "is_backward", 0))
              rename_op_input(
                  predict_net,
                  init_net,
                  i,
                  0,
                  name,
                  from_producer=is_backward,
              )
              rename_op_output(predict_net, i, 0, name)
  
      # Remove AliasWithName, should be very safe since it's a non-op
      new_ops = []
      for op in predict_net.op:
          if op.type != "AliasWithName":
              new_ops.append(op)
          else:
              # safety check
              assert op.input == op.output
              assert op.input[0] == op.arg[0].s.decode()
      del predict_net.op[:]
      predict_net.op.extend(new_ops)
  
imports: import collections
  import copy
  import functools
  import logging
  import numpy
  import os
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  from unittest import mock
  import caffe2.python.utils
  import torch
  import torch.nn.functional
  from caffe2.proto import caffe2_pb2
  from caffe2.python import core, net_drawer, workspace
  from torch.nn.functional import interpolate
label_desc: Use image node_id 30 for calling a global function with example usage: fuse_alias_placeholder(predict_net, init_net) without return types