class_docstr: An abstraction representing a microbatch in the pipeline.
class_docstr_tok: ["An","abstraction","representing","a","microbatch","in","the","pipeline","."]
docstr: Retrieves the device for this microbatch.
docstr_tok: ["Retrieves","the","device","for","this","microbatch","."]
code: def get_device(self):
      """
      Retrieves the device for this microbatch.
      """
      if self.atomic:
          return self._values.device  # type: ignore[union-attr]
  
      for value in self._values:
          if torch.is_tensor(value):
              return value.device
  
imports: import typing
  from typing import Any, Callable, List, Union, cast, Sequence
  import torch
  from torch import Tensor
  import torch.cuda.comm
label_desc: Use image node_id 5 for calling the Batch obj's underlying member method code with example usage: obj.get_device() and returns: self, value