parameters: (self, inpt, keep_prob)
docstring: keep_prob: float (0, 1]
docstring_summary: keep_prob: float (0, 1]
docstring_tokens: keep_prob : float ( 0 1 ]
function: def __init__(self, inpt, keep_prob):
          """
          keep_prob: float (0, 1]
          """
          self.keep_prob = tf.placeholder(tf.float32)
          self.input = inpt
          self.output = tf.nn.dropout(self.input, keep_prob=self.keep_prob)
          self.train_dicts = {self.keep_prob: keep_prob}
          self.pred_dicts = {self.keep_prob: 1.0}
function_tokens: def __init__ ( self , inpt , keep_prob ) : self . keep_prob = tf . placeholder ( tf . float32 ) self . input = inpt self . output = tf . nn . dropout ( self . input , keep_prob = self . keep_prob ) self . train_dicts = { self . keep_prob : keep_prob } self . pred_dicts = { self . keep_prob : 1.0 }