code: def export_einsum_transpose() -> None:
      Eqn = "ij->ji"
      node = onnx.helper.make_node(
          "Einsum", inputs=["x"], outputs=["y"], equation=Eqn
      )
  
      X = np.random.randn(3, 4)
      Y = einsum_reference_implementation(Eqn, (X,))
  
      expect(
          node, inputs=[X], outputs=[Y], name="test_einsum_transpose"
      )
  
file_path: onnx/onnx/backend/test/case/node/einsum.py
imports: from typing import Tuple
  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 Einsum obj's underlying member method code with example usage: obj.export_einsum_transpose() without return types