Comments (3)
1.) I don't know your script and this isn't something I have provided, but the traceback seems to indicate that the path, which should contain your data, simply does not exist.
2.) The easiest way is to subclass the network (DeepAlignmentNetwork
) and change the structure as you want to (depending on your structure, you may also have to subclass DeepAlignmentStage
) and just pass other losses to the experiment (depending on your losses you maybe need to slightly adjust the closure
function of your DeepAlignmentNetwork
subclass)
from deep_alignment_network_pytorch.
@justusschock Really thank you for your kind respond and help! The script finally run! But it is my first time to use your delira. If I want to resume to train, how should I modify the train code?
from deep_alignment_network_pytorch.
Currently, resuming is done best, if you are using the plain trainer (not the experiment as it works with a time-stamp) and pass the original savedir (including the timestep) to it. The training will then automatically be resumed
from deep_alignment_network_pytorch.
Related Issues (5)
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from deep_alignment_network_pytorch.