code: def generate_kbit_random_tensor(
      size, bitlength=None, generator=None, **kwargs
  ):
      """Helper function to generate a random k-bit number"""
      if bitlength is None:
          bitlength = torch.iinfo(torch.long).bits
      if bitlength == 64:
          return generate_random_ring_element(
              size, generator=generator, **kwargs
          )
      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]
      rand_tensor = torch.randint(
          0,
          2**bitlength,
          size,
          generator=generator,
          dtype=torch.long,
          **kwargs,
      )
      if rand_tensor.is_cuda:
          return CUDALongTensor(rand_tensor)
      return rand_tensor
  
imports: import crypten
  import torch
  from crypten.cuda import CUDALongTensor
label_desc: Use image node_id 2 for calling a global function with example usage: generate_kbit_random_tensor(size, bitlength, generator) and returns: rand_tensor, generate_random_ring_element, CUDALongTensor