code: def export_1d_opset13() -> None:
      node_input = np.array([1.0, 2.0, 3.0, 4.0, 5.0, 6.0]).astype(
          np.float32
      )
  
      node = onnx.helper.make_node(
          "Split",
          inputs=["input"],
          outputs=["output_1", "output_2", "output_3"],
          axis=0,
      )
  
      expected_outputs = [
          np.array([1.0, 2.0]).astype(np.float32),
          np.array([3.0, 4.0]).astype(np.float32),
          np.array([5.0, 6.0]).astype(np.float32),
      ]
      expect(
          node,
          inputs=[node_input],
          outputs=expected_outputs,
          name="test_split_equal_parts_1d_opset13",
          opset_imports=[onnx.helper.make_opsetid("", 13)],
      )
  
      split = np.array([2, 4]).astype(np.int64)
      node = onnx.helper.make_node(
          "Split",
          inputs=["input", "split"],
          outputs=["output_1", "output_2"],
          axis=0,
      )
  
      expected_outputs = [
          np.array([1.0, 2.0]).astype(np.float32),
          np.array([3.0, 4.0, 5.0, 6.0]).astype(np.float32),
      ]
      expect(
          node,
          inputs=[node_input, split],
          outputs=expected_outputs,
          name="test_split_variable_parts_1d_opset13",
          opset_imports=[onnx.helper.make_opsetid("", 13)],
      )
  
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 1 for calling the Split obj's underlying member method code with example usage: obj.export_1d_opset13() without return types