Comments (1)
MikhailMS
commented on July 17, 2024
@Domojz You should change trainModel function (multi_training.py) in order to resume your training session and you have to store configurations once they are dumped during training, otherwise it won't be possible. All you need to do is to check in trainModel (or somewhere before, for example in main.py) whether or not you have dumped results, and if you do, use pickle to load 'em. The job is pretty straightforward, good luck!
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Related Issues (20)
- would you guide me to get some dataset(music)? HOT 2
- ValueError: When compiling the inner function of scan the following error has been encountered HOT 2
- numpy.repeat TypeError on 32 bit systems HOT 2
- Error HOT 1
- Allocation error HOT 2
- Issue with local_bitwidth() HOT 1
- Weird behaviour HOT 3
- Output tends to converge to being identical to one particular piece HOT 1
- Question HOT 3
- How to load weights? HOT 1
- Any way to train on CPU? HOT 2
- Any way to set output size?
- BUG with this program
- doesn't work, need help HOT 1
- Longer sample mids
- Error
- A question about Bi-axial LSTM structure
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- IOError: [Errno 2] No such file or directory: 'output/sample0.mid' HOT 2
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