code: def export_with_split_1() -> None:
      data = np.arange(18).reshape((3, 6)).astype(np.float32)
      split = np.array(2, dtype=np.int64)
  
      node = onnx.helper.make_node(
          "SplitToSequence", ["data", "split"], ["seq"], axis=1
      )
  
      expected_outputs = [
          [
              np.array(
                  [[0.0, 1.0], [6.0, 7.0], [12.0, 13.0]],
                  dtype=np.float32,
              ),
              np.array(
                  [[2.0, 3.0], [8.0, 9.0], [14.0, 15.0]],
                  dtype=np.float32,
              ),
              np.array(
                  [[4.0, 5.0], [10.0, 11.0], [16.0, 17.0]],
                  dtype=np.float32,
              ),
          ]
      ]
  
      expect(
          node,
          inputs=[data, split],
          outputs=expected_outputs,
          name="test_split_to_sequence_1",
      )
  
file_path: onnx/onnx/backend/test/case/node/splittosequence.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 SplitToSequence obj's underlying member method code with example usage: obj.export_with_split_1() without return types