Closed kertase closed 6 years ago
Not with the code as it is now. If you look at the rnn_train.py file, you will see the line that saves a checkpoint but there is no line that restores it. Automatic checkpoint save/restore is offered by the Estimator interfece in Tensorflow but that interface does not yet support stateful RNNs like the one we are training here, where state must be passed around at each training step.
I am not quite sure if this is possible, I might just not have understood the doc well.
So is it possible to continue training an previous checkpoint?