code: def test_larger_than_dtype_shape_at_runtime(self):
      data = array_ops.placeholder_with_default(
          array_ops.fill([2, 9], False), shape=None
      )
      error_message = (
          r".*data.shape\[-1\] is too large for %s.*"
          % dtypes.uint8.name
      )
  
      with self.assertRaisesRegexp(
          (errors.InvalidArgumentError, ValueError), error_message
      ):
          self.evaluate(
              create_feature_bitmask_op.create_feature_bitmask(
                  data, dtype=dtypes.uint8
              )
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  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.platform import test
  from tensorflow_text.python.ops import create_feature_bitmask_op
label_desc: Use image node_id 14 for calling the CreateFeatureBitmaskOpTest obj's underlying member method code with example usage: obj.test_larger_than_dtype_shape_at_runtime() without return types