meta文件读取方式
import tensorflow as tf
from tensorflow.python.platform import gfile #这是从文件格式的meta文件加载模型
graph = tf.get_default_graph()
graphdef = graph.as_graph_def()
_ = tf.train.import_meta_graph("***/model.meta")
summary_write = tf.summary.FileWriter("***/summary/" , graph)
pb文件读取方式
import tensorflow as tf
from tensorflow.python.platform import gfile #这是从文件格式的meta文件加载模型
graph = tf.get_default_graph()
graphdef = graph.as_graph_def()
graphdef.ParseFromString(gfile.FastGFile("/****/model.pb", "rb").read())
_ = tf.import_graph_def(graphdef, name="")
summary_write = tf.summary.FileWriter("****/summary3/" , graph)
然后再启动tensorboard：
tensorboard --logdir /data/TensorFlowAndroidMNIST/logdir --host 你的ip --port 你端口(默认6006)
tensorboard --logdir "***/summary/"
tensorboard --logdir "***/summary2/"