code: def constrain_as_size_example(x):
      """
      If the value is not known at tracing time, you can provide hint so that we
      can trace further. Please look at constrain_as_value and constrain_as_size APIs
      constrain_as_size is used for values that NEED to be used for constructing
      tensor.
      """
      a = x.item()
      torch._constrain_as_size(a, min=0, max=5)
      return torch.ones((a, 5))
  
label_desc: Use image node_id 1 for calling a global function with example usage: constrain_as_size_example(x) and returns: torch