code: def test_replicate_move_args_kwargs_to_device(self):
      class MyNet(nn.Module):
          def __init__(self):
              super().__init__()
              self.a = nn.Linear(2, 2)
  
          def forward(self, inp, *, kwarg=None):
              if kwarg is not None:
                  inp = inp @ kwarg
              return self.a(inp)
  
      self._init_pg()
      torch.cuda.set_device(self.rank)
      model = MyNet().cuda()
      replicate(model, device_id=torch.cuda.current_device())
      # CPU input ensures replicate can move arg and kwargs to device.
      a, b = torch.randn(2, 2), torch.randn(2, 2)
      model(a, kwarg=b).sum().backward()
  
imports: import os
  from copy import deepcopy
  import torch
  import torch.distributed
  import torch.nn.functional
  from torch import nn
  from torch.distributed._composable.replicate import replicate
  from torch.testing._internal.common_distributed import MultiProcessTestCase, skip_if_lt_x_gpu
  from torch.testing._internal.common_utils import run_tests
label_desc: Use image node_id 7 for calling the ReplicateTest obj's underlying member method code with example usage: obj.test_replicate_move_args_kwargs_to_device() and returns: self