code: def _randn(size, dtype, device, seed):
      generator = torch.Generator(device).manual_seed(int(seed))
      return torch.randn(
          size, dtype=dtype, device=device, generator=generator
      )
  
imports: import math
  import trampoline
  import warnings
  import numpy
  import torch
  from .None import brownian_base
  from ..settings import LEVY_AREA_APPROXIMATIONS
  from ..types import Scalar, Optional, Tuple, Union, Tensor
label_desc: Use image node_id 1 for calling a global function with example usage: _randn(size, dtype, device, seed) and returns: torch