code: def torch_seed_generator(seed):
      first_seed, second_seed = draw_seed(seed)
      device = get_device()
      if device == "meta":
          # Generator is not supported by the meta device.
          return None
      generator = torch.Generator(device=get_device())
      generator.manual_seed(int(first_seed + second_seed))
      return generator
  
imports: import torch
  import torch._dynamo
  import torch.nn.functional
  from keras.backend.config import floatx
  from keras.backend.torch.core import convert_to_tensor
  from keras.backend.torch.core import get_device
  from keras.backend.torch.core import to_torch_dtype
  from keras.random.seed_generator import SeedGenerator
  from keras.random.seed_generator import draw_seed
  from keras.random.seed_generator import make_default_seed
label_desc: Use image node_id 1 for calling a global function with example usage: torch_seed_generator(seed) and returns: generator, None