code: def test_slice(self):
      class MyModule(Module):
          def forward(self, x):
              return x[0:1]
  
      ops_9 = [
          {
              "op_name": "Slice",
              "attributes": [
                  {"name": "axes", "ints": [0], "type": 7},
                  {"name": "ends", "ints": [1], "type": 7},
                  {"name": "starts", "ints": [0], "type": 7},
              ],
          }
      ]
      ops_10 = [
          {"op_name": "Constant"},
          {"op_name": "Constant"},
          {"op_name": "Constant"},
          {"op_name": "Constant"},
          {"op_name": "Slice", "attributes": []},
      ]
      ops = {9: ops_9, 10: ops_10}
      x = torch.randn(3)
      check_onnx_opsets_operator(
          MyModule(), x, ops, opset_versions=[9, 10]
      )
  
      class DynamicSliceModel(torch.jit.ScriptModule):
          @torch.jit.script_method
          def forward(self, x):
              return x[1 : x.size(0)]
  
      module = DynamicSliceModel()
      x = torch.rand(1, 2)
      ops_10 = [
          {"op_name": "Shape"},
          {"op_name": "Constant"},
          {
              "op_name": "Gather",
              "attributes": [{"name": "axis", "i": 0, "type": 2}],
          },
          {"op_name": "Constant"},
          {"op_name": "Constant"},
          {
              "op_name": "Unsqueeze",
              "attributes": [{"name": "axes", "i": 0, "type": 7}],
          },
          {"op_name": "Constant"},
          {"op_name": "Slice", "attributes": []},
      ]
      ops = {10: ops_10}
      check_onnx_opsets_operator(
          module,
          x,
          ops,
          opset_versions=[10],
          input_names=["x"],
          dynamic_axes={"x": [0, 1]},
      )
  
      ops_10 = [
          {"op_name": "Constant"},
          {"op_name": "Constant"},
          {"op_name": "Constant"},
          {"op_name": "Constant"},
          {"op_name": "Slice", "attributes": []},
      ]
      ops = {10: ops_10}
      check_onnx_opsets_operator(module, 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 6 for calling the TestONNXOpset obj's underlying member method code with example usage: obj.test_slice() and returns: x, x