class_docstr: An abstraction representing a microbatch in the pipeline.
class_docstr_tok: ["An","abstraction","representing","a","microbatch","in","the","pipeline","."]
code: def _setitem_by_slice(self, index: slice, value) -> None:
      if not (
          index.start is index.stop is index.step is None
      ):  # noqa: E714
          raise NotImplementedError("only slice [:] supported")
  
      if not self.atomic:
          self._values = value
          return
  
      if len(value) != 1:
          raise IndexError(
              "atomic batch cannot be replaced with multiple tensors"
          )
  
      self._values = value[0]
  
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 15 for calling the Batch obj's underlying member method code with example usage: obj._setitem_by_slice(index, value) without return types