code: def testAssertType(self):
      x = ragged_factory_ops.constant([[1.0, 2.0], [3.0]])
      with ops.control_dependencies(
          [check_ops.assert_type(x, dtypes.float32)]
      ):
          y = array_ops.identity(x)
      self.assertAllEqual(x, y)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python import tf2
  from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import image_ops_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_impl
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.ragged import ragged_dispatch
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import ragged_tensor_test_ops
  from tensorflow.python.ops.ragged.dynamic_ragged_shape import DynamicRaggedShape
  from tensorflow.python.platform import googletest
  from tensorflow.python.util import dispatch
  from tensorflow.python.util import nest
label_desc: Use image node_id 17 for calling the RaggedDispatchTest obj's underlying member method code with example usage: obj.testAssertType() without return types