Python 尝试使用未初始化的变量-tensorboard

我刚开始玩Tensorboard，想创建一个简单的例子，在这里我有一个调用函数的循环。在该函数中，我有一个张量变量，该变量递增1，然后将其添加到摘要中

我遇到了一个FailedPremissionError：尝试使用非斜体值x\u标量

但我以为我是在用第10行和第14行初始化x_标量。初始化的正确方法是什么

import tensorflow as tf
tf.reset_default_graph()   # To clear the defined variables and operations of the previous cell

# create the scalar variable
x_scalar = tf.get_variable('x_scalar', shape=[], initializer=tf.truncated_normal_initializer(mean=0, stddev=1))

# ____step 1:____ create the scalar summary
first_summary = tf.summary.scalar(name='My_first_scalar_summary', tensor=x_scalar)
step = 1
init = tf.global_variables_initializer()
with tf.Session() as sess:
    sess.run(init)
    writer = tf.summary.FileWriter('./graphs', sess.graph)
    sess.run(x_scalar.assign(1))
    print(sess.run(x_scalar))
    print("---------------------------")
def main():
    global init
    global first_summary
    global step

    # launch the graph in a session
    # with tf.Session() as sess:
        # # ____step 2:____ creating the writer inside the session
        # writer = tf.summary.FileWriter('./graphs', sess.graph)
    for s in range(100):
        func()

def func():
    global init
    global first_summary
    global step
    global x_scalar

    with tf.Session() as sess:
        # ____step 2:____ creating the writer inside the session

        # loop over several initializations of the variable
        sess.run(x_scalar.assign(x_scalar + 1))
        # ____step 3:____ evaluate the scalar summary
        summary = sess.run(first_summary)
        # ____step 4:____ add the summary to the writer (i.e. to the event file)
        writer.add_summary(summary, step)
        step = step + 1
        print('Done with writing the scalar summary') 
if __name__ == '__main__':
    main()

---

您在另一个tf.Session（）中初始化了变量。将tf.Session（）用作上下文管理器时，会话会在代码块完成后自动关闭

您可以使用检查点和元图保存graph+权重，然后将它们加载到新创建的会话中

或者，您可以尝试传递会话

sess = tf.Session()
sess.run([CODE])
sess.run([CODE])
sess.run([CODE])
sess.run([CODE])
sess.close()

编辑：作了更正