code: def export_conv_with_autopad_same() -> None:
      x = np.array(
          [
              [
                  [
                      [
                          0.0,
                          1.0,
                          2.0,
                          3.0,
                          4.0,
                      ],  # (1, 1, 5, 5) input tensor
                      [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],
                  ]
              ]
          ]
      ).astype(np.float32)
      W = np.array(
          [
              [
                  [
                      [
                          1.0,
                          1.0,
                          1.0,
                      ],  # (1, 1, 3, 3) tensor for convolution weights
                      [1.0, 1.0, 1.0],
                      [1.0, 1.0, 1.0],
                  ]
              ]
          ]
      ).astype(np.float32)
  
      # Convolution with auto_pad='SAME_LOWER' and strides=2
      node = onnx.helper.make_node(
          "Conv",
          inputs=["x", "W"],
          outputs=["y"],
          auto_pad="SAME_LOWER",
          kernel_shape=[3, 3],
          strides=[2, 2],
      )
      y = np.array(
          [
              [
                  [
                      [12.0, 27.0, 24.0],
                      [63.0, 108.0, 81.0],
                      [72.0, 117.0, 84.0],
                  ]
              ]
          ]
      ).astype(np.float32)
      expect(
          node,
          inputs=[x, W],
          outputs=[y],
          name="test_conv_with_autopad_same",
      )
  
file_path: onnx/onnx/backend/test/case/node/conv.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 Conv obj's underlying member method code with example usage: obj.export_conv_with_autopad_same() without return types