code: def forward(
      self, tensor: Tensor, number: int, word: str = "default"
  ) -> Tuple[str, int, Tensor]:
      return word, number, tensor
  
imports: import enum
  from typing import Tuple
  import torch
  import torch.distributed.rpc
  import torch.testing._internal.dist_utils
  from torch import Tensor, nn
  from torch._jit_internal import Future
  from torch.distributed.nn import RemoteModule
  from torch.distributed.nn.api.remote_module import _REMOTE_MODULE_PICKLED_ATTRIBUTES
  from torch.distributed.nn.api.remote_module import _RemoteModule
  from torch.testing._internal.common_distributed import skip_if_lt_x_gpu
  from torch.testing._internal.common_utils import TemporaryFileName
  from torch.testing._internal.distributed.rpc.rpc_agent_test_fixture import RpcAgentTestFixture
label_desc: Use image node_id 2 for calling the MyModule obj's underlying member method code with example usage: obj.forward(tensor, number, word) and returns: word,  number,  tensor