import tensorflow as tf

def clip_logits(logits, config):
  logits_clip = getattr(config, "logits_clip", 0.)
  if logits_clip > 0:
    min_logit = tf.reduce_min(logits)
    return tf.minimum(logits - min_logit, logits_clip)
  else:
