code: def _dims(d, N, keepdim, single_dim):
      from . import Dim
  
      if isinstance(d, (Dim, int)):
          return ltuple((_wrap_dim(d, N, keepdim),))
      assert (
          not single_dim
      ), f"expected a single dimension or int but found: {d}"
      return ltuple(_wrap_dim(x, N, keepdim) for x in d)
  
imports: import torch
  from functorch._C import dim
  from .None import op_properties
  from .batch_tensor import _enable_layers
  from .tree_map import tree_flatten, tree_map
  import operator
  from functools import reduce
label_desc: Use image node_id 3 for calling a global function with example usage: _dims(d, N, keepdim, single_dim) and returns: ltuple, ltuple