code: def unify_chunks(*tensors):
      tensor_axes = [
          (t, range(t.ndim)) if not isinstance(t, tuple) else t
          for t in tensors
      ]
  
      if len(tensor_axes) < 2:
          return tuple(
              t[0] if isinstance(t, tuple) else t for t in tensors
          )
  
      return (yield from unify_nsplits(*tensor_axes))
  
imports: import inspect
  import itertools
  import operator
  from collections import OrderedDict
  from collections.abc import Iterable
  from functools import lru_cache, reduce, wraps
  from math import ceil
  from numbers import Integral
  from typing import Dict, List, Union
  import numpy
  from ..core import ExecutableTuple, recursive_tile
  from ..utils import lazy_import
  from ..lib.mmh3 import hash_from_buffer
label_desc: Use image node_id 21 for calling a global function with example usage: unify_chunks() and returns: unknown, tuple