code: def export_convtranspose_1d() -> None:
      x = np.array([[[0.0, 1.0, 2.0]]]).astype(np.float32)  # (1, 1, 3)
  
      W = np.array(
          [[[1.0, 1.0, 1.0], [1.0, 1.0, 1.0]]]
      ).astype(  # (1, 2, 3)
          np.float32
      )
  
      node = onnx.helper.make_node("ConvTranspose", ["X", "W"], ["Y"])
  
      y = np.array(
          [
              [[0.0, 1.0, 3.0, 3.0, 2.0], [0.0, 1.0, 3.0, 3.0, 2.0]]
          ]  # (1, 2, 5)
      ).astype(np.float32)
  
      expect(
          node, inputs=[x, W], outputs=[y], name="test_convtranspose_1d"
      )
  
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 2 for calling the ConvTranspose obj's underlying member method code with example usage: obj.export_convtranspose_1d() without return types