code: def copy_tensor_model_parallel_attributes(
      destination_tensor: torch.Tensor, source_tensor: torch.Tensor
  ) -> None:
      def maybe_copy(attribute):
          if hasattr(source_tensor, attribute):
              setattr(
                  destination_tensor,
                  attribute,
                  getattr(source_tensor, attribute),
              )
  
      for attribute in _MODEL_PARALLEL_ATTRIBUTE_DEFAULTS:
          maybe_copy(attribute)
  
imports: from typing import Optional, Dict, Tuple, List
  import warnings
  import torch
  import torch.nn.functional
  import torch.nn.init
  from torch.nn.parameter import Parameter
  from apex._autocast_utils import _cast_if_autocast_enabled
  from apex.transformer.parallel_state import get_tensor_model_parallel_group
  from apex.transformer.parallel_state import get_tensor_model_parallel_rank
  from apex.transformer.parallel_state import get_tensor_model_parallel_world_size
  from apex.transformer.utils import divide
  from apex.transformer.tensor_parallel.mappings import copy_to_tensor_model_parallel_region
  from apex.transformer.tensor_parallel.mappings import gather_from_tensor_model_parallel_region
  from apex.transformer.tensor_parallel.mappings import reduce_from_tensor_model_parallel_region
  from apex.transformer.tensor_parallel.mappings import scatter_to_tensor_model_parallel_region
  from apex.transformer.tensor_parallel.mappings import reduce_scatter_to_sequence_parallel_region
  from apex.transformer.tensor_parallel.random import get_cuda_rng_tracker
  from apex.transformer.tensor_parallel.utils import VocabUtility
  from apex.transformer.log_util import get_transformer_logger
label_desc: Use image node_id 4 for calling a global function with example usage: copy_tensor_model_parallel_attributes(destination_tensor, source_tensor) without return types