Tensorflow:如何在张量板上查看检查点?
Tensorflow: how to view checkpoint in tensorboard?
假设我有包含以下内容的检查点:
checkpoint
├── model.ckpt-240000.data-00000-of-00001
├── model.ckpt-240000.index
└── model.ckpt-240000.meta
是否可以在tensorboard中查看检查点的内容,或者只能转换为.pb
格式?
看起来可以这样做:
import tensorflow as tf
g = tf.Graph()
with g.as_default() as g:
tf.train.import_meta_graph('./checkpoint/model.ckpt-240000.meta')
with tf.Session(graph=g) as sess:
file_writer = tf.summary.FileWriter(logdir='checkpoint_log_dir/faceboxes', graph=g)
然后tensorboard --logdir checkpoint_log_dir/faceboxes/
假设我有包含以下内容的检查点:
checkpoint
├── model.ckpt-240000.data-00000-of-00001
├── model.ckpt-240000.index
└── model.ckpt-240000.meta
是否可以在tensorboard中查看检查点的内容,或者只能转换为.pb
格式?
看起来可以这样做:
import tensorflow as tf
g = tf.Graph()
with g.as_default() as g:
tf.train.import_meta_graph('./checkpoint/model.ckpt-240000.meta')
with tf.Session(graph=g) as sess:
file_writer = tf.summary.FileWriter(logdir='checkpoint_log_dir/faceboxes', graph=g)
然后tensorboard --logdir checkpoint_log_dir/faceboxes/