code: def generate_random_ring_element_by_seed(
      size, seed, ring_size=(2**64), **kwargs
  ):
      """Helper function to generate a random number from a signed ring"""
      generator = torch.Generator()
      if seed is None:
          generator.seed()
      else:
          generator.manual_seed(seed)
      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
  
file_path: FATE/python/fate/arch/protocol/mpc/common/rng.py
imports: import torch
  from fate.arch.protocol import mpc
  from fate.arch.protocol.mpc.cuda import CUDALongTensor
  from fate.arch.tensor.distributed._tensor import _ShardingShapes, DTensor
label_desc: Use image node_id 3 for calling a global function with example usage: generate_random_ring_element_by_seed(size, seed, ring_size) and returns: rand_element, CUDALongTensor