class_docstr: This class is used for "tests/test_bundle_verify_net.py" to show that the monai.bundle.verify_net_in_out
  function supports to verify networks that have multiple args as the input in the forward function.
class_docstr_tok: ["This","class","is","used","for","``","tests\/test_bundle_verify_net.py","''","to","show","that","the","monai.bundle.verify_net_in_out","function","supports","to","verify","networks","that","have","multiple","args","as","the","input","in","the","forward","function","."]
code: def forward(self, x: torch.Tensor, extra_arg1: int, extra_arg2: int) -> torch.Tensor:  # type: ignore
      x = self.model(x)
      x += extra_arg1
      x += extra_arg2
      return x
  
imports: from __future__ import annotations
  import torch
  from monai.networks.nets import UNet
label_desc: Use image node_id 1 for calling the TestMultiInputUNet obj's underlying member method code with example usage: obj.forward(x, extra_arg1, extra_arg2) and returns: x