code: def _copy_tensor(tensor: Tensor, requires_grad: bool) -> Tensor:
      copied = tensor.data.clone()
      copied.requires_grad = requires_grad
      return copied
  
imports: from types import MethodType
  from typing import Callable, Optional, Union
  import torch
  import torch.nn
  from packaging import version
  from torch import Tensor
  from torch.nn import Parameter
  from torch.utils._pytree import tree_map
  from colossalai.logging import get_dist_logger
  from .construction import ConstructorManager
  from .pretrained import PretrainedManager
  import colossalai._analyzer._subclasses._meta_registration
label_desc: Use image node_id 5 for calling a global function with example usage: _copy_tensor(tensor, requires_grad) and returns: copied