code: def test_stack(self):
      self.assertEqual(special_functions.stack(1, strict=False), 1)
      self.assertListEqual(
          special_functions.stack([1, 2, 3], strict=False), [1, 2, 3]
      )
      # TODO(mdan): This should probably forward to tf.stack.
      self.assertTrue(
          isinstance(
              special_functions.stack(
                  [constant_op.constant(1), constant_op.constant(2)],
                  strict=False,
              ),
              list,
          )
      )
  
      with self.assertRaises(ValueError):
          special_functions.stack([1, 2, 3])
  
      t = constant_op.constant([1.0, 2.0])
      l = list_ops.tensor_list_from_tensor(
          t, element_shape=constant_op.constant([], dtype=dtypes.int32)
      )
      self.assertTrue(
          tensor_util.is_tf_type(
              special_functions.stack(l, element_dtype=dtypes.float32)
          )
      )
  
file_path: tensorflow/tensorflow/python/autograph/lang/special_functions_test.py
imports: import numpy
  from tensorflow.python.autograph.lang import special_functions
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import list_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the SpecialFunctionsTest obj's underlying member method code with example usage: obj.test_stack() without return types