code: def cat(tensors, dim, new_dim):
      n = dims()
      return stack(tensors, n, dim).index([n, dim], new_dim)
  
imports: import dis
  import inspect
  from typing import Sequence, Union
  import torch
  import functorch._C
  from functorch._C import dim
  from .tree_map import tree_flatten, tree_map
  from .wrap_type import wrap_type
  from .None import op_properties
label_desc: Use image node_id 1 for calling a global function with example usage: cat(tensors, dim, new_dim) and returns: stack