code: def allclose(x, y, tolerances: Tuple[int, int] = None):
      assert x.dtype == y.dtype
      if tolerances is None:
          rtol, atol = get_tolerances()[x.dtype]
      else:
          rtol, atol = tolerances
      return torch.allclose(x, y, rtol=rtol, atol=atol)
  
imports: from typing import Tuple
  import torch
  from deepspeed.accelerator import get_accelerator
label_desc: Use image node_id 3 for calling a global function with example usage: allclose(x, y, tolerances) and returns: torch