code: def test_explicit_test_args(self):
      class MyModel(Module):
          def forward(self, x):
              if x.data.sum() == 1.0:
                  return x + x
              else:
                  return x * x
  
      x = torch.tensor([[6, 2]])
      y = torch.tensor([[2, -1]])
      self.assertVerifyExpectFail(
          MyModel(), x, backend, test_args=[(y,)]
      )
  
file_path: pytorch/test/onnx_caffe2/test_verify.py
imports: import caffe2.python.onnx.backend
  import torch
  from torch.autograd import Function
  from torch.nn import Module, Parameter
  from torch.testing._internal import common_utils
  from verify import verify
label_desc: Use image node_id 6 for calling the TestVerify obj's underlying member method code with example usage: obj.test_explicit_test_args() and returns: unknown, unknown