code: def convert(old_weight: dict):
      new_weight = {}
      for k, v in old_weight.items():
          ks = k.split(".")
          if ("stage" in ks[0]) and ("d" not in ks[0]):
              # encode stage
              num = int(re.findall(r"\d", ks[0])[0]) - 1
              prefix = f"encode_modules.{num}"
              if "rebnconvin" == ks[1]:
                  # ConvBNReLU module
                  prefix += ".conv_in"
                  convert_conv_bn(new_weight, prefix, ks[2:], v)
              elif ("rebnconv" in ks[1]) and ("d" not in ks[1]):
                  num_ = int(re.findall(r"\d", ks[1])[0]) - 1
                  prefix += f".encode_modules.{num_}"
                  convert_conv_bn(new_weight, prefix, ks[2:], v)
              elif ("rebnconv" in ks[1]) and ("d" in ks[1]):
                  num_ = (
                      layers["encode"][num]
                      - int(re.findall(r"\d", ks[1])[0])
                      - 1
                  )
                  prefix += f".decode_modules.{num_}"
                  convert_conv_bn(new_weight, prefix, ks[2:], v)
              else:
                  print(f"unrecognized key: {k}")
  
          elif ("stage" in ks[0]) and ("d" in ks[0]):
              # decode stage
              num = 5 - int(re.findall(r"\d", ks[0])[0])
              prefix = f"decode_modules.{num}"
              if "rebnconvin" == ks[1]:
                  # ConvBNReLU module
                  prefix += ".conv_in"
                  convert_conv_bn(new_weight, prefix, ks[2:], v)
              elif ("rebnconv" in ks[1]) and ("d" not in ks[1]):
                  num_ = int(re.findall(r"\d", ks[1])[0]) - 1
                  prefix += f".encode_modules.{num_}"
                  convert_conv_bn(new_weight, prefix, ks[2:], v)
              elif ("rebnconv" in ks[1]) and ("d" in ks[1]):
                  num_ = (
                      layers["decode"][num]
                      - int(re.findall(r"\d", ks[1])[0])
                      - 1
                  )
                  prefix += f".decode_modules.{num_}"
                  convert_conv_bn(new_weight, prefix, ks[2:], v)
              else:
                  print(f"unrecognized key: {k}")
          elif "side" in ks[0]:
              # side
              num = 6 - int(re.findall(r"\d", ks[0])[0])
              prefix = f"side_modules.{num}"
              if "weight" == ks[1]:
                  new_weight[prefix + ".weight"] = v
              elif "bias" == ks[1]:
                  new_weight[prefix + ".bias"] = v
              else:
                  print(f"unrecognized weight {prefix + ks[1]}")
          elif "outconv" in ks[0]:
              prefix = f"out_conv"
              if "weight" == ks[1]:
                  new_weight[prefix + ".weight"] = v
              elif "bias" == ks[1]:
                  new_weight[prefix + ".bias"] = v
              else:
                  print(f"unrecognized weight {prefix + ks[1]}")
          else:
              print(f"unrecognized key: {k}")
  
      return new_weight
  
imports: import re
  import torch
  from src import u2net_full, u2net_lite
label_desc: Use image node_id 2 for calling a global function with example usage: convert(old_weight) and returns: new_weight