code: def _wrap_dim(d, N, keepdim):
      from . import Dim
  
      if isinstance(d, Dim):
          assert (
              not keepdim
          ), "cannot preserve first-class dimensions with keepdim=True"
          return d
      elif d >= 0:
          return d - N
      else:
          return 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 2 for calling a global function with example usage: _wrap_dim(d, N, keepdim) and returns: d, unknown, d