import tensorflow as tf
# construct graph
v1 = tf.Variable([0], name='v1')
v2 = tf.Variable([0], name='v2')
# run graph
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
saver = tf.train.Saver()
saver.save(sess, 'ckp')
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索引文件和数据文件是什么关系?
.
??? checkpoint
??? ckp.data-00000-of-00001
??? ckp.index
??? ckp.meta
Run Code Online (Sandbox Code Playgroud) 我想查看 tensorflow c++ 核心的调试信息,而不是 python 客户端。TensorFlow 配置信息级别默认值。如何将关卡修改为DEBUG。
tensorflow ×2