code: def cond_predicate(x):
      """
      The conditional statement (aka predicate) passed to cond() must be one of the following:
        - torch.Tensor with a single element
        - boolean expression
  
      NOTE: If the `pred` is test on a dim with batch size < 2, it will be specialized.
      """
  
      pred = x.dim() > 2 and x.shape[2] > 10
  
      return cond(pred, lambda x: x.cos(), lambda y: y.sin(), [x])
  
label_desc: Use image node_id 1 for calling a global function with example usage: cond_predicate(x) and returns: cond