code: def export_triu_one_row() -> None:
      node = onnx.helper.make_node(
          "Trilu",
          inputs=["x", "k"],
          outputs=["y"],
      )
  
      x = np.random.randint(10, size=(3, 1, 5)).astype(np.int64)
      k = np.array(1).astype(np.int64)
      # X:
      # [[[1, 4, 9, 7, 1]],
      #
      #  [[9, 2, 8, 8, 4]],
      #
      #  [[3, 9, 7, 4, 2]]]
      # expect result:
      # [[[0, 4, 9, 7, 1]],
      #
      #  [[0, 2, 8, 8, 4]],
      #
      #  [[0, 9, 7, 4, 2]]]
      y = triu_reference_implementation(x, int(k))
      expect(node, inputs=[x, k], outputs=[y], name="test_triu_one_row")
  
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 8 for calling the Trilu obj's underlying member method code with example usage: obj.export_triu_one_row() without return types