code: def export_convtranspose_dilations() -> None:
      x = np.array(
          [
              [[[3.0, 8.0, 1.0], [9.0, 5.0, 7.0], [3.0, 2.0, 6.0]]]
          ]  # (1, 1, 3, 3)
      ).astype(np.float32)
      W = np.array([[[[7.0, 2.0], [1.0, 9.0]]]]).astype(
          np.float32
      )  # (1, 1, 2, 2)
  
      node = onnx.helper.make_node(
          "ConvTranspose", ["X", "W"], ["Y"], dilations=[2, 2]
      )
  
      y = np.array(
          [
              [
                  [
                      [21.0, 56.0, 13.0, 16.0, 2.0],  # [1, 1, 5, 5]
                      [63.0, 35.0, 67.0, 10.0, 14.0],
                      [24.0, 22.0, 76.0, 76.0, 21.0],
                      [9.0, 5.0, 88.0, 45.0, 63.0],
                      [3.0, 2.0, 33.0, 18.0, 54.0],
                  ]
              ]
          ]
      ).astype(np.float32)
  
      expect(
          node,
          inputs=[x, W],
          outputs=[y],
          name="test_convtranspose_dilations",
      )
  
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 6 for calling the ConvTranspose obj's underlying member method code with example usage: obj.export_convtranspose_dilations() without return types