class_docstr: An abstraction representing a microbatch in the pipeline.
class_docstr_tok: ["An","abstraction","representing","a","microbatch","in","the","pipeline","."]
docstr: Calls a function on the microbatch. It also wraps
  the output with :class:`Batch`.
docstr_tok: ["Calls","a","function","on","the","microbatch",".","It","also","wraps","the","output","with",":","class",":","`","Batch","`","."]
code: def call(self, function: Function) -> "Batch":
      """Calls a function on the microbatch. It also wraps
      the output with :class:`Batch`.
      """
      if self.atomic:
          return Batch(function(self._values))
      else:
          return Batch(function(*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 6 for calling the Batch obj's underlying member method code with example usage: obj.call(function) and returns: Batch, Batch