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x = tf.Variable(1.0)y = x.assign_add(1)with tf.Session() as sess: sess.run(tf.global_variables_initializer()) print sess.run(x) print sess.run(y) print sess.run(x)
输出 1,2,2注意其x会变的
import tensorflow as tfglobal_step = tf.Variable(0, trainable=False)initial_learning_rate = 0.1 #初始学习率learning_rate = tf.train.exponential_decay(initial_learning_rate, global_step=global_step, decay_steps=10,decay_rate=0.9)opt = tf.train.GradientDescentOptimizer(learning_rate)add_global = global_step.assign_add(1)with tf.Session() as sess: tf.global_variables_initializer().run() print(sess.run(learning_rate)) for i in range(1): _, rate = sess.run([add_global, learning_rate]) print(rate)
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