code: def scatter(input: TensorOrTensors, chunks: int) -> List[Batch]:
      """Splits an input mini-batch into multiple micro-batches."""
      inputs: Iterable[TensorOrTensors]
  
      if isinstance(input, Tensor):
          inputs = input.chunk(chunks)
      else:
          rotated: List[Tensors] = []
  
          for tensor in input:
              tensors = tensor.chunk(chunks)
              rotated.append(cast(Tensors, tensors))
  
          inputs = zip(*rotated)
  
      return [Batch(x, i) for i, x in enumerate(inputs)]
  
imports: import typing
  from typing import Callable, Iterable, Iterator, List, Tuple, Union, cast
  import torch
  from torch import Tensor
  import torch.cuda.comm
label_desc: Use image node_id 2 for calling a global function with example usage: scatter(input, chunks) and returns: unknown