class_docstr: Implementation of control theory augment.
class_docstr_tok: ["Implementation","of","control","theory","augment","."]
code: def sync_state_to_data_pipeline(self):
      log_prob_value = tf.math.log(self.probs)
      for v in self.log_probs:
          v.assign(log_prob_value)
  
imports: from typing import Optional
  import tensorflow
  from .randaugment import augment_ops
label_desc: Use image node_id 3 for calling the CTAugment obj's underlying member method code with example usage: obj.sync_state_to_data_pipeline() without return types