code: def test_dynamicslice_3inputs_graph(self):
      node_def = make_node("DynamicSlice", ["X1", "X2", "X3"], ["Y"])
  
      graph_def = make_graph(
          [node_def],
          name="test",
          inputs=[
              make_tensor_value_info(
                  "X1", onnx.TensorProto.FLOAT, (2, 4)
              ),
              make_tensor_value_info(
                  "X2", onnx.TensorProto.INT32, (1, 2)
              ),
              make_tensor_value_info(
                  "X3", onnx.TensorProto.INT32, (1, 2)
              ),
          ],
          outputs=[
              make_tensor_value_info(
                  "Y", onnx.TensorProto.FLOAT, (1, 2)
              )
          ],
      )
      model_def = make_model(graph_def, producer_name="caffe2-ref-test")
  
      x = [[1, 2, 3, 4], [5, 6, 7, 8]]
      start = [0, 0]
      end = [-1, 4]
      prepared = c2.prepare(model_def)
      output = prepared.run(
          inputs=[np.array(x), np.array(start), np.array(end)]
      )
      self.assertSameOutputs(output[0], np.array(x)[0:-1, 0:4])
  
imports: import os
  import unittest
  from caffe2.python import core
  from caffe2.proto import caffe2_pb2
  import onnx
  from onnx.helper import make_node, make_graph, make_tensor, make_tensor_value_info, make_model
  from caffe2.python.onnx.helper import c2_native_run_net, c2_native_run_op
  from onnx import mapping
  import caffe2.python.onnx.frontend
  import caffe2.python.onnx.backend
  import numpy
  from caffe2.python.models.download import ModelDownloader
  from caffe2.python.onnx.tests.test_utils import TestCase
  import caffe2.python._import_c_extension
label_desc: Use image node_id 3 for calling the TestCaffe2Basic obj's underlying member method code with example usage: obj.test_dynamicslice_3inputs_graph() without return types