code: def test_shape_limit_shape_is_tensor_int32(self):
      input_data = ragged_factory_ops.constant(
          [[0, 1, 2, 3], [], [4], []]
      )
      actual = input_data.to_tensor(
          shape=constant_op.constant([2, 3], dtype=dtypes.int32)
      )
      self.assertAllEqual(actual, [[0, 1, 2], [0, 0, 0]])
      self.assertEqual(actual.shape.as_list(), [2, 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 7 for calling the RaggedTensorToTensorOpTest obj's underlying member method code with example usage: obj.test_shape_limit_shape_is_tensor_int32() without return types