code: def test_flip(self):
      class MyModule(Module):
          def forward(self, x):
              return torch.flip(x, dims=[0])
  
      ops_10 = [
          {"op_name": "Constant"},
          {"op_name": "Constant"},
          {"op_name": "Constant"},
          {"op_name": "Constant"},
          {"op_name": "Slice", "attributes": []},
      ]
      ops = {10: ops_10}
      import numpy
  
      x = torch.tensor(numpy.arange(6.0).reshape(2, 3))
      check_onnx_opsets_operator(
          MyModule(), x, ops, opset_versions=[10]
      )
  
imports: import io
  import itertools
  import onnx
  import pytorch_test_common
  import torch
  import torch.onnx
  from torch.nn import Module
  from torch.onnx import producer_name, producer_version
  from torch.onnx._globals import GLOBALS
  from torch.testing._internal import common_utils
label_desc: Use image node_id 7 for calling the TestONNXOpset obj's underlying member method code with example usage: obj.test_flip() and returns: torch