code: def test_output(self):
      class Model(chainer.Chain):
          def __init__(self):
              super(Model, self).__init__()
  
          def __call__(self, *xs):
              return F.transpose_sequence(xs)
  
      model = Model()
      xs = [
          input_generator.increasing(*shape) for shape in self.in_shapes
      ]
  
      self.expect(model, xs, name=self.name)
  
imports: import chainer
  import chainer.functions
  from chainer import testing
  import numpy
  import onnx
  import pytest
  from onnx_chainer import export
  from onnx_chainer.testing import input_generator
  from onnx_chainer_tests.helper import ONNXModelChecker
  from onnx_chainer_tests.helper import ONNXModelTest
label_desc: Use image node_id 1 for calling the TestTransposeSequence obj's underlying member method code with example usage: obj.test_output() and returns: F