code: def export_convtranspose_3d() -> None:
      x = np.array(
          [
              [
                  [
                      [
                          [0.0, 1.0, 2.0, 3.0, 4.0],  # (1, 1, 3, 4, 5)
                          [5.0, 6.0, 7.0, 8.0, 9.0],
                          [10.0, 11.0, 12.0, 13.0, 14.0],
                          [15.0, 16.0, 17.0, 18.0, 19.0],
                      ],
                      [
                          [20.0, 21.0, 22.0, 23.0, 24.0],
                          [25.0, 26.0, 27.0, 28.0, 29.0],
                          [30.0, 31.0, 32.0, 33.0, 34.0],
                          [35.0, 36.0, 37.0, 38.0, 39.0],
                      ],
                      [
                          [40.0, 41.0, 42.0, 43.0, 44.0],
                          [45.0, 46.0, 47.0, 48.0, 49.0],
                          [50.0, 51.0, 52.0, 53.0, 54.0],
                          [55.0, 56.0, 57.0, 58.0, 59.0],
                      ],
                  ]
              ]
          ]
      ).astype(np.float32)
  
      W = np.array(
          [
              [
                  [
                      [
                          [1.0, 1.0, 1.0],  # (1, 2, 3, 3, 3)
                          [1.0, 1.0, 1.0],
                          [1.0, 1.0, 1.0],
                      ],
                      [
                          [1.0, 1.0, 1.0],
                          [1.0, 1.0, 1.0],
                          [1.0, 1.0, 1.0],
                      ],
                      [
                          [1.0, 1.0, 1.0],
                          [1.0, 1.0, 1.0],
                          [1.0, 1.0, 1.0],
                      ],
                  ],
                  [
                      [
                          [1.0, 1.0, 1.0],
                          [1.0, 1.0, 1.0],
                          [1.0, 1.0, 1.0],
                      ],
                      [
                          [1.0, 1.0, 1.0],
                          [1.0, 1.0, 1.0],
                          [1.0, 1.0, 1.0],
                      ],
                      [
                          [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,
                              6.0,
                              9.0,
                              7.0,
                              4.0,
                          ],  # (1, 2, 5, 6, 7)
                          [5.0, 12.0, 21.0, 27.0, 33.0, 24.0, 13.0],
                          [15.0, 33.0, 54.0, 63.0, 72.0, 51.0, 27.0],
                          [30.0, 63.0, 99.0, 108.0, 117.0, 81.0, 42.0],
                          [25.0, 52.0, 81.0, 87.0, 93.0, 64.0, 33.0],
                          [15.0, 31.0, 48.0, 51.0, 54.0, 37.0, 19.0],
                      ],
                      [
                          [20.0, 42.0, 66.0, 72.0, 78.0, 54.0, 28.0],
                          [
                              50.0,
                              104.0,
                              162.0,
                              174.0,
                              186.0,
                              128.0,
                              66.0,
                          ],
                          [
                              90.0,
                              186.0,
                              288.0,
                              306.0,
                              324.0,
                              222.0,
                              114.0,
                          ],
                          [
                              120.0,
                              246.0,
                              378.0,
                              396.0,
                              414.0,
                              282.0,
                              144.0,
                          ],
                          [
                              90.0,
                              184.0,
                              282.0,
                              294.0,
                              306.0,
                              208.0,
                              106.0,
                          ],
                          [
                              50.0,
                              102.0,
                              156.0,
                              162.0,
                              168.0,
                              114.0,
                              58.0,
                          ],
                      ],
                      [
                          [
                              60.0,
                              123.0,
                              189.0,
                              198.0,
                              207.0,
                              141.0,
                              72.0,
                          ],
                          [
                              135.0,
                              276.0,
                              423.0,
                              441.0,
                              459.0,
                              312.0,
                              159.0,
                          ],
                          [
                              225.0,
                              459.0,
                              702.0,
                              729.0,
                              756.0,
                              513.0,
                              261.0,
                          ],
                          [
                              270.0,
                              549.0,
                              837.0,
                              864.0,
                              891.0,
                              603.0,
                              306.0,
                          ],
                          [
                              195.0,
                              396.0,
                              603.0,
                              621.0,
                              639.0,
                              432.0,
                              219.0,
                          ],
                          [
                              105.0,
                              213.0,
                              324.0,
                              333.0,
                              342.0,
                              231.0,
                              117.0,
                          ],
                      ],
                      [
                          [
                              60.0,
                              122.0,
                              186.0,
                              192.0,
                              198.0,
                              134.0,
                              68.0,
                          ],
                          [
                              130.0,
                              264.0,
                              402.0,
                              414.0,
                              426.0,
                              288.0,
                              146.0,
                          ],
                          [
                              210.0,
                              426.0,
                              648.0,
                              666.0,
                              684.0,
                              462.0,
                              234.0,
                          ],
                          [
                              240.0,
                              486.0,
                              738.0,
                              756.0,
                              774.0,
                              522.0,
                              264.0,
                          ],
                          [
                              170.0,
                              344.0,
                              522.0,
                              534.0,
                              546.0,
                              368.0,
                              186.0,
                          ],
                          [
                              90.0,
                              182.0,
                              276.0,
                              282.0,
                              288.0,
                              194.0,
                              98.0,
                          ],
                      ],
                      [
                          [40.0, 81.0, 123.0, 126.0, 129.0, 87.0, 44.0],
                          [
                              85.0,
                              172.0,
                              261.0,
                              267.0,
                              273.0,
                              184.0,
                              93.0,
                          ],
                          [
                              135.0,
                              273.0,
                              414.0,
                              423.0,
                              432.0,
                              291.0,
                              147.0,
                          ],
                          [
                              150.0,
                              303.0,
                              459.0,
                              468.0,
                              477.0,
                              321.0,
                              162.0,
                          ],
                          [
                              105.0,
                              212.0,
                              321.0,
                              327.0,
                              333.0,
                              224.0,
                              113.0,
                          ],
                          [
                              55.0,
                              111.0,
                              168.0,
                              171.0,
                              174.0,
                              117.0,
                              59.0,
                          ],
                      ],
                  ],
                  [
                      [
                          [0.0, 1.0, 3.0, 6.0, 9.0, 7.0, 4.0],
                          [5.0, 12.0, 21.0, 27.0, 33.0, 24.0, 13.0],
                          [15.0, 33.0, 54.0, 63.0, 72.0, 51.0, 27.0],
                          [30.0, 63.0, 99.0, 108.0, 117.0, 81.0, 42.0],
                          [25.0, 52.0, 81.0, 87.0, 93.0, 64.0, 33.0],
                          [15.0, 31.0, 48.0, 51.0, 54.0, 37.0, 19.0],
                      ],
                      [
                          [20.0, 42.0, 66.0, 72.0, 78.0, 54.0, 28.0],
                          [
                              50.0,
                              104.0,
                              162.0,
                              174.0,
                              186.0,
                              128.0,
                              66.0,
                          ],
                          [
                              90.0,
                              186.0,
                              288.0,
                              306.0,
                              324.0,
                              222.0,
                              114.0,
                          ],
                          [
                              120.0,
                              246.0,
                              378.0,
                              396.0,
                              414.0,
                              282.0,
                              144.0,
                          ],
                          [
                              90.0,
                              184.0,
                              282.0,
                              294.0,
                              306.0,
                              208.0,
                              106.0,
                          ],
                          [
                              50.0,
                              102.0,
                              156.0,
                              162.0,
                              168.0,
                              114.0,
                              58.0,
                          ],
                      ],
                      [
                          [
                              60.0,
                              123.0,
                              189.0,
                              198.0,
                              207.0,
                              141.0,
                              72.0,
                          ],
                          [
                              135.0,
                              276.0,
                              423.0,
                              441.0,
                              459.0,
                              312.0,
                              159.0,
                          ],
                          [
                              225.0,
                              459.0,
                              702.0,
                              729.0,
                              756.0,
                              513.0,
                              261.0,
                          ],
                          [
                              270.0,
                              549.0,
                              837.0,
                              864.0,
                              891.0,
                              603.0,
                              306.0,
                          ],
                          [
                              195.0,
                              396.0,
                              603.0,
                              621.0,
                              639.0,
                              432.0,
                              219.0,
                          ],
                          [
                              105.0,
                              213.0,
                              324.0,
                              333.0,
                              342.0,
                              231.0,
                              117.0,
                          ],
                      ],
                      [
                          [
                              60.0,
                              122.0,
                              186.0,
                              192.0,
                              198.0,
                              134.0,
                              68.0,
                          ],
                          [
                              130.0,
                              264.0,
                              402.0,
                              414.0,
                              426.0,
                              288.0,
                              146.0,
                          ],
                          [
                              210.0,
                              426.0,
                              648.0,
                              666.0,
                              684.0,
                              462.0,
                              234.0,
                          ],
                          [
                              240.0,
                              486.0,
                              738.0,
                              756.0,
                              774.0,
                              522.0,
                              264.0,
                          ],
                          [
                              170.0,
                              344.0,
                              522.0,
                              534.0,
                              546.0,
                              368.0,
                              186.0,
                          ],
                          [
                              90.0,
                              182.0,
                              276.0,
                              282.0,
                              288.0,
                              194.0,
                              98.0,
                          ],
                      ],
                      [
                          [40.0, 81.0, 123.0, 126.0, 129.0, 87.0, 44.0],
                          [
                              85.0,
                              172.0,
                              261.0,
                              267.0,
                              273.0,
                              184.0,
                              93.0,
                          ],
                          [
                              135.0,
                              273.0,
                              414.0,
                              423.0,
                              432.0,
                              291.0,
                              147.0,
                          ],
                          [
                              150.0,
                              303.0,
                              459.0,
                              468.0,
                              477.0,
                              321.0,
                              162.0,
                          ],
                          [
                              105.0,
                              212.0,
                              321.0,
                              327.0,
                              333.0,
                              224.0,
                              113.0,
                          ],
                          [
                              55.0,
                              111.0,
                              168.0,
                              171.0,
                              174.0,
                              117.0,
                              59.0,
                          ],
                      ],
                  ],
              ]
          ]
      ).astype(np.float32)
  
      expect(
          node, inputs=[x, W], outputs=[y], name="test_convtranspose_3d"
      )
  
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 3 for calling the ConvTranspose obj's underlying member method code with example usage: obj.export_convtranspose_3d() without return types