class_docstr: Benchmarks for various ops in TF Text.
class_docstr_tok: ["Benchmarks","for","various","ops","in","TF","Text","."]
code: def __init__(self):
      if not FLAGS.run_eagerly:
          ops.disable_eager_execution()
  
      self.use_tf_function = FLAGS.use_tf_function
      self.load_input_data(FLAGS.batch_size)
  
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 1 to create a new OpsBenchmark object from inherited base classes: benchmark_utils with example: obj = OpsBenchmark()