code: def export() -> None:
      x = np.array(
          [
              [[[0.0, 1.0, 2.0], [3.0, 4.0, 5.0], [6.0, 7.0, 8.0]]]
          ]  # (1, 1, 3, 3)
      ).astype(np.float32)
  
      W = np.array(
          [
              [
                  [
                      [1.0, 1.0, 1.0],
                      [1.0, 1.0, 1.0],
                      [1.0, 1.0, 1.0],
                  ],  # (1, 2, 3, 3)
                  [[1.0, 1.0, 1.0], [1.0, 1.0, 1.0], [1.0, 1.0, 1.0]],
              ]
          ]
      ).astype(np.float32)
  
      node = onnx.helper.make_node("ConvTranspose", ["X", "W"], ["Y"])
  
      y = np.array(
          [
              [
                  [
                      [0.0, 1.0, 3.0, 3.0, 2.0],  # (1, 2, 5, 5)
                      [3.0, 8.0, 15.0, 12.0, 7.0],
                      [9.0, 21.0, 36.0, 27.0, 15.0],
                      [9.0, 20.0, 33.0, 24.0, 13.0],
                      [6.0, 13.0, 21.0, 15.0, 8.0],
                  ],
                  [
                      [0.0, 1.0, 3.0, 3.0, 2.0],
                      [3.0, 8.0, 15.0, 12.0, 7.0],
                      [9.0, 21.0, 36.0, 27.0, 15.0],
                      [9.0, 20.0, 33.0, 24.0, 13.0],
                      [6.0, 13.0, 21.0, 15.0, 8.0],
                  ],
              ]
          ]
      ).astype(np.float32)
  
      expect(
          node, inputs=[x, W], outputs=[y], name="test_convtranspose"
      )
  
file_path: onnx/onnx/backend/test/case/node/convtranspose.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 ConvTranspose obj's underlying member method code with example usage: obj.export() without return types