code: def test_annotations(device):
      @triton.jit
      def _kernel(X: torch.Tensor, N: int, BLOCK_SIZE: tl.constexpr):
          pass
  
      x = torch.empty(1, device=device)
      _kernel[(1,)](x, x.shape[0], 32)
      try:
          _kernel[(1,)](x.shape[0], x.shape[0], 32)
      except AttributeError:
          pass
  
imports: from __future__ import annotations
  import torch
  import triton
  import triton.language
label_desc: Use image node_id 1 for calling a global function with example usage: test_annotations(device) without return types