def Value(self):
p = self.params
num_decays = tf.floor(
tf.div(
tf.cast(py_utils.GetGlobalStep(), tf.float32),
float(p.num_steps_per_decay)))
return tf.pow(p.decay, num_decays)
def Value(self, step=None):
p = self.params
num_decays = tf.floor(
tf.div(
tf.cast(self.GetStep(step), tf.float32),
float(p.num_steps_per_decay)))
return tf.pow(p.decay, num_decays)
def FProp(self, theta, current_step):
p = self.params
num_decays = tf.floor(
tf.div(tf.cast(current_step, tf.float32), float(p.num_steps_per_decay)))
return tf.pow(p.decay, num_decays)
