code: def test_broadcast_default_no_placeholder(self):
      input_data = ragged_factory_ops.constant(
          [[[[1, 2], [3, 4]]], []], ragged_rank=1
      )
      # default_value has a 2 x 1 dimension.
      default_value = constant_op.constant([[5], [6]], shape=None)
      actual = input_data.to_tensor(default_value=default_value)
      expected = [[[[1, 2], [3, 4]]], [[[5, 5], [6, 6]]]]
      self.assertAllEqual(actual, 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 11 for calling the RaggedTensorToTensorOpTest obj's underlying member method code with example usage: obj.test_broadcast_default_no_placeholder() without return types