code: def export() -> None:
      alpha = 2.0
      node = onnx.helper.make_node(
          "ThresholdedRelu", inputs=["x"], outputs=["y"], alpha=alpha
      )
  
      x = np.array([-1.5, 0.0, 1.2, 2.0, 2.2]).astype(np.float32)
      y = np.clip(
          x, alpha, np.inf
      )  # expected output [0., 0., 0., 0., 2.2]
      y[y == alpha] = 0
  
      expect(
          node,
          inputs=[x],
          outputs=[y],
          name="test_thresholdedrelu_example",
      )
  
      x = np.random.randn(3, 4, 5).astype(np.float32)
      y = np.clip(x, alpha, np.inf)
      y[y == alpha] = 0
  
      expect(node, inputs=[x], outputs=[y], name="test_thresholdedrelu")
  
file_path: onnx/onnx/backend/test/case/node/thresholdedrelu.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 1 for calling the ThresholdedRelu obj's underlying member method code with example usage: obj.export() without return types