class_docstr: Benchmarks for various ops in TF Text.
class_docstr_tok: ["Benchmarks","for","various","ops","in","TF","Text","."]
code: def benchmark_create_feature_bitmask(self):
      if FLAGS.ragged_vs_dense:
          return
  
      self.input_data = array_ops.placeholder_with_default(
          constant_op.constant(
              [
                  [[True, True, False], [True, False, False]],
                  [[False, False, True], [True, False, True]],
              ]
          ),
          shape=None,
      )
  
      self._run(text_ops.create_feature_bitmask)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl import app
  from absl import flags
  import numpy
  import tensorflow
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow_text.python import ops
  from tensorflow_text.python.benchmarks import benchmark_utils
label_desc: Use image node_id 11 for calling the OpsBenchmark obj's underlying member method code with example usage: obj.benchmark_create_feature_bitmask() without return types