如何将 tensorflow .meta .data .index 转换为 .ckpt 文件？

Question

As we know, when using tensorflow to save checkpoint, we have 3 files, for eg:

model.ckpt.data-00000-of-00001

model.ckpt.index

model.ckpt.meta

I check on the faster rcn n and found that they have an evaluation.py script which helps evaluate the pre-trained model, but the script only accept .ckpt file (as they provided some pre-trained models above).

I have run some finetuning from their pre-trained model

And then I wonder if there's a way to convert all the .data-00000-of-00001 , .index and .meta into one single .ckpt file to run the evaluate.py script on the checkpoint?

(I also notice that the pre-trained models they provided in the repo do have only 1 .ckpt file, how can they do that when the save-checkpoint function generates 3 files?)

Answer 1

These

{ model.ckpt.data-00000-of-00001

model.ckpt.index

model.ckpt.meta }

are the more recent checkpoint format

while

{model.ckpt}

is a previous checkpoint format

It will be in the same concept as to convert a Nintendo Switch to NES ... Or a 3 pieces CD bundle to a single ROM cartridge...

Answer 2

You don't need to convert, You can save the variables in the network using

saver = tf.train.Saver() 
saver.save(sess, 'path of save/fileName.ckpt')

To restore the network for reuse later or in another script, use:

saver = tf.train.Saver()
saver.restore(sess, tf.train.latest_checkpoint('path of save/')
sess.run(....) 

Important points:

1. sess must be same between first and later runs (coherent structure).

2. saver.restore needs the path of the folder of the saved files, not an individual file path.