code: def test_mul(self, dtype):
      def forward_mul(x, y):
          return torch.mul(x, y) * 3
  
      for x, y in self._gen_binary_inputs():
          _, graph = self.checkTrace(forward_mul, [x, y], dtype)
          # single-op partitions shouldn't be created
          self.assertGraphContainsExactly(graph, LLGA_FUSION_GROUP, 1)
  
imports: import sys
  import torch
  import unittest
  import itertools
  import torch.nn
  from functools import wraps
  from concurrent import futures
  import torch.nn.functional
  import torch.fx.experimental.optimization
  from torch.testing._internal.jit_utils import JitTestCase
  from torch.testing._internal.common_utils import run_tests, TEST_SCIPY, IS_WINDOWS, IS_MACOS
  from torch.testing._internal.common_device_type import instantiate_device_type_tests, onlyCPU, dtypes
label_desc: Use image node_id 13 for calling the TestOp obj's underlying member method code with example usage: obj.test_mul(dtype) and returns: unknown