code: def forward(
      self, xs: Tuple[torch.Tensor, torch.Tensor]
  ) -> torch.Tensor:
      assert len(xs) == 2, f"Expects 2 args but got {len(xs)}"
      x, y = xs
      z = x + y
      z = z @ self.w
      return nn.functional.relu(z)
  
imports: import unittest
  from collections import deque, OrderedDict
  from contextlib import ContextDecorator
  from copy import deepcopy
  from typing import Tuple
  import torch
  import torch.nn
  from torch.distributed._composable import checkpoint
  from torch.testing._internal.common_cuda import TEST_CUDA
  from torch.testing._internal.common_utils import run_tests, TestCase
label_desc: Use image node_id 2 for calling the MultiInputModel obj's underlying member method code with example usage: obj.forward(xs) and returns: nn