class_docstr: Private class defines non-distributed computation model for code compatibility with other distributed models.
class_docstr_tok: ["Private","class","defines","non-distributed","computation","model","for","code","compatibility","with","other","distributed","models","."]
code: def all_gather(
      self,
      tensor: Union[torch.Tensor, float, str, Any],
      group: Optional[Any] = None,
  ) -> Union[torch.Tensor, float, List[float], List[str], List[Any]]:
      if isinstance(tensor, torch.Tensor):
          return tensor
      return cast(Union[List[float], List[str], List[Any]], [tensor])
  
imports: from abc import ABCMeta, abstractmethod
  from numbers import Number
  from typing import Any, Callable, cast, List, Optional, Union
  import torch
  from packaging.version import Version
label_desc: Use image node_id 16 for calling the _SerialModel obj's underlying member method code with example usage: obj.all_gather(tensor, group) and returns: cast, tensor