code: def initial_seed() -> int:
      r"""Return the current random seed of the current GPU.
  
      .. warning::
          This function eagerly initializes CUDA.
      """
      _lazy_init()
      idx = current_device()
      default_generator = torch.cuda.default_generators[idx]
      return default_generator.initial_seed()
  
file_path: pytorch/torch/cuda/random.py
imports: from typing import Iterable, List, Union
  import torch
  from ..None import Tensor
  from .None import _lazy_call, _lazy_init, current_device, device_count
label_desc: Use image node_id 9 for calling a global function with example usage: initial_seed() and returns: default_generator