I modified the train_eager.py and ran the program successfully with tensorflow 2.1, while the checkpoint was saved each iteration. As a result, those checkpoint files took up all the disk space and the training process cannot be finished successufully. Is there any missing code about optimizer.iteration? Or optimizer.iteration can only work in keras program?
I modified the train_eager.py and ran the program successfully with tensorflow 2.1, while the checkpoint was saved each iteration. As a result, those checkpoint files took up all the disk space and the training process cannot be finished successufully. Is there any missing code about optimizer.iteration? Or optimizer.iteration can only work in keras program?