code: def testShape(self):
      @def_function.function
      def test_fn(tensor):
          tensor = sparse_ops.sparse_transpose(tensor)
          self.assertEqual(tensor.shape.rank, 2)
          return tensor
  
      tensor = sparse_tensor.SparseTensor(
          indices=[[0, 0], [1, 2]], values=[1.0, 2], dense_shape=[3, 4]
      )
      test_fn(tensor)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.core.framework import full_type_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.type_utils import fulltypes_for_flat_tensors
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 2 for calling the SparseTensorTest obj's underlying member method code with example usage: obj.testShape() and returns: tensor