code: def generate_random_ring_element(
      size, ring_size=(2**64), generator=None, **kwargs
  ):
      """Helper function to generate a random number from a signed ring"""
      if generator is None:
          device = kwargs.get("device", torch.device("cpu"))
          device = torch.device("cpu") if device is None else device
          device = (
              torch.device(device)
              if isinstance(device, str)
              else device
          )
          generator = crypten.generators["local"][device]
      # TODO (brianknott): Check whether this RNG contains the full range we want.
      rand_element = torch.randint(
          -(ring_size // 2),
          (ring_size - 1) // 2,
          size,
          generator=generator,
          dtype=torch.long,
          **kwargs,
      )
      if rand_element.is_cuda:
          return CUDALongTensor(rand_element)
      return rand_element
  
imports: import crypten
  import torch
  from crypten.cuda import CUDALongTensor
label_desc: Use image node_id 1 for calling a global function with example usage: generate_random_ring_element(size, ring_size, generator) and returns: rand_element, CUDALongTensor