code: def slicer(dim, slice_range, *tensors):
      for t in tensors:
          slices = [slice(None)] * t.dim()
          slices[dim] = slice_range
          yield t[slices]
  
imports: import math
  import os
  import torch
  import weakref
  from functools import lru_cache
  from torch.utils._triton import has_triton
  from ._triton_ops_meta import get_meta
  from typing import Optional, Tuple
label_desc: Use image node_id 9 for calling a global function with example usage: slicer(dim, slice_range) without return types