code: def test_remote_parameters(self):
      if self.rank != 0:
          return
      dst_worker_name = dist_utils.worker_name(
          (self.rank + 1) % self.world_size
      )
  
      # Only test Python nn.Module, because script module methods don't support ``remote_parameters``.
      for remote_module in self._create_remote_module_iter(
          dst_worker_name, modes=[ModuleCreationMode.MODULE_CTOR]
      ):
          param_rrefs = remote_module.remote_parameters()
          self.assertEqual(len(param_rrefs), 1)
          self.assertTrue(
              torch.equal(param_rrefs[0].to_here(), _PARAM_VAL)
          )
  
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 7 for calling the RemoteModuleTest obj's underlying member method code with example usage: obj.test_remote_parameters() without return types