code: def testTransposeDynamicShapes(self):
      @def_function.function(
          input_signature=[
              tensor_spec.TensorSpec(shape=None, dtype=dtypes.int32),
          ]
      )
      def transpose(x):
          y = array_ops.transpose(x)
          self.assertEqual(y.shape, tensor_shape.TensorShape(None))
          return y
  
      x = constant_op.constant([[1, 2, 3], [4, 5, 6]])  # Shape (2, 3)
      expected_transpose = constant_op.constant(
          [[1, 4], [2, 5], [3, 6]]
      )  # Shape (3, 2)
      self.assertAllEqual(expected_transpose, transpose(x))
  
      @def_function.function(
          input_signature=[
              tensor_spec.TensorSpec(shape=None, dtype=dtypes.int32),
              tensor_spec.TensorSpec(shape=None, dtype=dtypes.int32),
          ]
      )
      def transpose_with_perm(x, perm):
          y = array_ops.transpose(x, perm)
          self.assertEqual(y.shape, tensor_shape.TensorShape(None))
          return y
  
      self.assertAllEqual(x, transpose_with_perm(x, [0, 1]))
  
imports: import itertools
  import numpy
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.platform import test
label_desc: Use image node_id 30 for calling the TransposeTest obj's underlying member method code with example usage: obj.testTransposeDynamicShapes() and returns: y, y