code: def export() -> None:
      node = onnx.helper.make_node(
          "LogSoftmax",
          inputs=["x"],
          outputs=["y"],
      )
      x = np.array([[-1, 0, 1]]).astype(np.float32)
      # expected output
      # [[-2.4076061 -1.407606  -0.407606 ]]
      y = logsoftmax(x)
      expect(
          node,
          inputs=[x],
          outputs=[y],
          name="test_logsoftmax_example_1",
      )
  
file_path: onnx/onnx/backend/test/case/node/logsoftmax.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 LogSoftmax obj's underlying member method code with example usage: obj.export() without return types