In 10_save_restore_net.ipynb file, you save the model at each epoch. When you interrupt it with keyboard and starting running again, the model is restored from the epoch where the interruption occurred and it computes the loss (predictions in your case) at that epoch once again. For example,
Model runs until epoch 2 and then I interrupt it:
Start from: 0
0 0.9374
1 0.9634
2 0.9697
After I re-run it,
./ckpt_dir/model.ckpt-2
INFO:tensorflow:Restoring parameters from ./ckpt_dir/model.ckpt-2
Start from: 2
2 0.9742
3 0.9747
4 0.9774
5 0.9768
6 0.9783
7 0.9786
8 0.9785
.....
It is computing the loss (predictions in your case) for the epoch 2 once again.
How correct is that?
Can I do start = global_step.eval() + 1?
In 10_save_restore_net.ipynb file, you save the model at each epoch. When you interrupt it with keyboard and starting running again, the model is restored from the epoch where the interruption occurred and it computes the loss (predictions in your case) at that epoch once again. For example,
Model runs until epoch 2 and then I interrupt it:
Start from: 0
0 0.9374
1 0.9634
2 0.9697
After I re-run it,
./ckpt_dir/model.ckpt-2
INFO:tensorflow:Restoring parameters from ./ckpt_dir/model.ckpt-2
Start from: 2
2 0.9742
3 0.9747
4 0.9774
5 0.9768
6 0.9783
7 0.9786
8 0.9785
.....
It is computing the loss (predictions in your case) for the epoch 2 once again.
How correct is that?
Can I do
start = global_step.eval() + 1?