How to restore a model by filename in Tensorflow r12?

Question

I have run the distributed mnist example: https://github.com/tensorflow/tensorflow/blob/r0.12/tensorflow/tools/dist_test/python/mnist_replica.py

Though I have set th

Answer 1

You can restore the model like this:

saver = tf.train.import_meta_graph('./src/models/20170512-110547/model-20170512-110547.meta')
            saver.restore(sess,'./src/models/20170512-110547/model-20170512-110547.ckpt-250000'))

Where the path '/src/models/20170512-110547/' contains three files:

model-20170512-110547.meta
model-20170512-110547.ckpt-250000.index
model-20170512-110547.ckpt-250000.data-00000-of-00001

And if in one directory there are more than one checkpoints,eg: there are checkpoint files in the path ./20170807-231648/:

checkpoint     
model-20170807-231648-0.data-00000-of-00001   
model-20170807-231648-0.index    
model-20170807-231648-0.meta   
model-20170807-231648-100000.data-00000-of-00001   
model-20170807-231648-100000.index   
model-20170807-231648-100000.meta

you can see that there are two checkpoints, so you can use this:

saver =    tf.train.import_meta_graph('/home/tools/Tools/raoqiang/facenet/models/facenet/20170807-231648/model-20170807-231648-0.meta')

saver.restore(sess,tf.train.latest_checkpoint('/home/tools/Tools/raoqiang/facenet/models/facenet/20170807-231648/'))