tf.initialize_all_variables()和tf.global_variables_initializer()的区别

init = tf.initialize_all_variables()

sess = tf.Session()

sess.run(init)

tf.Session().run(tf.initialize_all_variables())

init_new_vars_op = tf.initialize_variables([v_6, v_7, v_8])

sess.run(init_new_vars_op)

uninit_vars = []

for var in tf.all_variables():

    try:

        sess.run(var)

    except tf.errors.FailedPreconditionError:

        uninit_vars.append(var)

init_new_vars_op = tf.initialize_variables(uninit_vars)

state = tf.Variable(1, name='counter')

add_one = tf.add(state, tf.constant(1))

update = tf.assign(state, add_one)

with tf.Session() as sess:
     
     sess.run(tf.initialize_all_variables())

     sess.run(state)

     for _ in range(6):
         
         sess.run(update)
  
         print(sess.run(state))


Output:

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7
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