code: def test_empty_tensor_with_shape(self):
      input_data = RaggedTensor.from_value_rowids(
          values=constant_op.constant([], dtype=dtypes.int64),
          value_rowids=constant_op.constant([], dtype=dtypes.int64),
          nrows=constant_op.constant(2, dtype=dtypes.int64),
          validate=True,
      )
      actual = input_data.to_tensor(default_value=3, shape=[2, 3])
      self.assertAllEqual(actual, [[3, 3, 3], [3, 3, 3]])
  
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 14 for calling the RaggedTensorToTensorOpTest obj's underlying member method code with example usage: obj.test_empty_tensor_with_shape() without return types