code: def testRaggedTensorToTensor(
      self,
      rt_input,
      expected,
      ragged_rank=None,
      inner_shape=None,
      default=None,
      shape=None,
      expected_shape=None,
  ):
      rt1 = ragged_factory_ops.constant(
          rt_input, ragged_rank=ragged_rank, inner_shape=inner_shape
      )
      rt2 = rebuild_ragged_tensor_with_value_rowids(rt1)
      for rt in [rt1, rt2]:
          for use_placeholder in [False, True]:
              if use_placeholder:
                  if default is not None:
                      default = make_placeholder(default)
                  rt = nest.map_structure(
                      make_placeholder, rt, expand_composites=True
                  )
              dt = rt.to_tensor(default_value=default, shape=shape)
              self.assertIsInstance(dt, tensor_lib.Tensor)
              self.assertEqual(rt.dtype, dt.dtype)
              if shape is not None:
                  self.assertTrue(dt.shape.is_compatible_with(shape))
              else:
                  self.assertTrue(dt.shape.is_compatible_with(rt.shape))
              if expected_shape is not None:
                  expected = np.ndarray(
                      expected_shape, buffer=np.array(expected)
                  )
              self.assertAllEqual(dt, expected)
  
imports: import random
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.client import session
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged.ragged_tensor import RaggedTensor
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import googletest
  from tensorflow.python.util import nest
label_desc: Use image node_id 2 for calling the RaggedTensorToTensorOpTest obj's underlying member method code with example usage: obj.testRaggedTensorToTensor(rt_input, expected, ragged_rank, inner_shape, default, shape, expected_shape) without return types