class_docstr: An abstraction representing a microbatch in the pipeline.
class_docstr_tok: ["An","abstraction","representing","a","microbatch","in","the","pipeline","."]
docstr: Retrieves the underlying values for the batch
docstr_tok: ["Retrieves","the","underlying","values","for","the","batch"]
code: def values(self):
      """Retrieves the underlying values for the batch"""
      return self._values
  
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 3 for calling the Batch obj's underlying member method code with example usage: obj.values() and returns: self