code: def test_unsupported_input_type(self):
      data = constant_op.constant([1.0, 0.0])
      error_message = (
          "Tensor conversion requested dtype bool for Tensor"
          " with dtype float32: .*"
      )
  
      with self.assertRaisesRegexp(ValueError, error_message):
          _ = create_feature_bitmask_op.create_feature_bitmask(data)
  
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 11 for calling the CreateFeatureBitmaskOpTest obj's underlying member method code with example usage: obj.test_unsupported_input_type() without return types