code: def test_decomposition_method_vararg(self, device, dtype, op):
      # some ops have vararg variants for the methods. this tests it.
      # we don't have tests for varargs in OpInfo, so we need to
      # improvise this a bit.
      # The rule for general functions (the special cases being e.g. tensor
      # creation functions taking shapes) is that things can be vararg
      # if the method has only one argument of sequence type.
      # e.g. permute can be called on a 3d tensor t as t.permute(0, 2, 1)
      #      as well as t.permute([0, 2, 1])
      #      when the signature in native_functions.yaml
      #      shows arguments Tensor self, IntList dims
      # we might need to adjust things for the factory functions or
      # have them do their own test
      from torch.fx.experimental.proxy_tensor import make_fx
      from torch._prims.context import TorchRefsMode
  
      # filter out empty tuple as that cannot be the varargs
      sample_inputs = (
          si
          for si in op.sample_inputs(device, dtype, requires_grad=False)
          if (si.args[-1] if si.args else si.input)
      )
  
      # just run one test, we assume there is a suitable one in the tests
      sample_input = next(sample_inputs)
      all_args = (sample_input.input,) + sample_input.args
  
      # in general, the methods take varargs and not (always?) the function
      # variants, the exception to this rule are the factory functions
      if op.is_factory_function:
          fn = op.op
      else:
          fn = op.method_variant
      with TorchRefsMode():
          gm = make_fx(fn)(*all_args[:-1], *all_args[-1])
  
      # in case we add random factory functions
      torch.manual_seed(1)
      res = gm(*all_args[:-1], *all_args[-1])
      torch.manual_seed(1)
      expected = fn(*all_args[:-1], *all_args[-1])
      self.assertEqual(res, expected)
  
imports: from functools import partial
  from itertools import product
  import unittest
  import torch
  from torch.testing import make_tensor
  from torch.testing._internal.common_utils import parametrize, run_tests, TestCase, TEST_SCIPY, set_default_dtype
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, onlyCUDA, dtypes, OpDTypes
  from torch.testing._internal.common_methods_invocations import op_db
  from torch.testing._internal.common_device_type import ops
  from torch.testing._internal.logging_tensor import LoggingTensor, capture_logs, log_input
  import torch._prims
  from torch._prims_common import CUDARngStateHelper
  from torch._prims.executor import make_traced
  import torch._refs
label_desc: Use image node_id 1 for calling the TestDecomp obj's underlying member method code with example usage: obj.test_decomposition_method_vararg(device, dtype, op) without return types