code: def _binary_test(
      self,
      dtype,
      op,
      ref,
      inputs,
      is_fastpath,
      is_inplace,
      *,
      alpha,
      scalar_self_arg: bool,
  ):
      ref_inputs = (
          [[t.clone().detach() for t in inputs[0]], inputs[1]]
          if is_inplace
          else inputs
      )
      try:
          with InplaceForeachVersionBumpCheck(
              self, inputs[0]
          ) if op.is_inplace else nullcontext():
              actual = op(inputs, self.is_cuda, is_fastpath)
      except RuntimeError as e:
          with self.assertRaisesRegex(type(e), re.escape(str(e))):
              if not scalar_self_arg:
                  ref(ref_inputs)
              else:
                  [ref.func(ref_inputs[0], t) for t in ref_inputs[1]]
      else:
          expected = (
              ref(ref_inputs)
              if not scalar_self_arg
              else [ref.func(ref_inputs[0], t) for t in ref_inputs[1]]
          )
          self.assertEqual(actual, expected)
      if alpha is not None and not scalar_self_arg:
          kwargs = {"alpha": alpha}
          ref_inputs = inputs
          try:
              op_kwargs = {}
              op_kwargs.update(kwargs)
              with InplaceForeachVersionBumpCheck(
                  self, inputs[0]
              ) if op.is_inplace else nullcontext():
                  actual = op(
                      inputs, self.is_cuda, is_fastpath, **op_kwargs
                  )
          except RuntimeError as e:
              with self.assertRaisesRegex(type(e), re.escape(str(e))):
                  ref(ref_inputs, **kwargs)
          else:
              expected = ref(ref_inputs, **kwargs)
              if (
                  dtype in (torch.float16, torch.bfloat16)
                  and TEST_WITH_ROCM
              ):
                  self.assertEqual(
                      expected,
                      actual,
                      atol=1.0e-3,
                      rtol=default_tolerances(dtype)[0],
                  )
              else:
                  self.assertEqual(expected, actual)
  
imports: from contextlib import nullcontext
  from numbers import Number
  import random
  import re
  import torch
  import unittest
  import itertools
  import weakref
  from torch.testing import make_tensor
  from torch.testing._comparison import default_tolerances
  from torch.testing._internal.common_cuda import TEST_MULTIGPU
  from torch.testing._internal.common_utils import TestCase, run_tests, TEST_WITH_ROCM, skipIfTorchDynamo, parametrize, gradcheck
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, dtypes, onlyCUDA, ops, OpDTypes
  from torch.testing._internal.common_methods_invocations import foreach_unary_op_db, foreach_binary_op_db, foreach_pointwise_op_db, foreach_reduce_op_db, foreach_other_op_db
  from torch.testing._internal.common_dtype import all_types_and_complex_and, floating_types_and, floating_types, integral_types_and
label_desc: Use image node_id 5 for calling the TestForeach obj's underlying member method code with example usage: obj._binary_test(dtype, op, ref, inputs, is_fastpath, is_inplace) without return types