code: def cond_operands(x, y):
      """
      The operands passed to cond() must be:
        - a list of tensors
        - match arguments of `true_fn` and `false_fn`
  
      NOTE: If the `pred` is test on a dim with batch size < 2, it will be specialized.
      """
  
      def true_fn(x, y):
          return x + y
  
      def false_fn(x, y):
          return x - y
  
      return cond(x.shape[0] > 2, true_fn, false_fn, [x, y])
  
imports: import torch
  from torch._export.db.case import export_case
  from torch.export import Dim
  from functorch.experimental.control_flow import cond
label_desc: Use image node_id 1 for calling a global function with example usage: cond_operands(x, y) and returns: cond, unknown, unknown