code: def multidim_slicer(dims, slices, *tensors):
      for t in tensors:
          s = [slice(None)] * t.dim()
          for d, d_slice in zip(dims, slices):
              if d is not None:
                  s[d] = d_slice
          yield t[s]
  
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 10 for calling a global function with example usage: multidim_slicer(dims, slices) without return types