code: def export_2d_uneven_split_opset18() -> None:
      node_input = np.array(
          [
              [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0],
              [9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0],
          ]
      ).astype(np.float32)
  
      node = onnx.helper.make_node(
          "Split",
          inputs=["input"],
          outputs=["output_1", "output_2", "output_3"],
          axis=1,
          num_outputs=3,
      )
  
      expected_outputs = [
          np.array([[1.0, 2.0, 3.0], [9.0, 10.0, 11.0]]).astype(
              np.float32
          ),
          np.array([[4.0, 5.0, 6.0], [12.0, 13.0, 14.0]]).astype(
              np.float32
          ),
          np.array([[7.0, 8.0], [15.0, 16.0]]).astype(np.float32),
      ]
  
      expect(
          node,
          inputs=[node_input],
          outputs=expected_outputs,
          name="test_split_2d_uneven_split_opset18",
      )
  
file_path: onnx/onnx/backend/test/case/node/split.py
imports: import numpy
  import onnx
  from onnx.backend.test.case.base import Base
  from onnx.backend.test.case.node import expect
label_desc: Use image node_id 10 for calling the Split obj's underlying member method code with example usage: obj.export_2d_uneven_split_opset18() without return types