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Fix error: math domain error when loss is too low #168
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May be helpful for the following bugs:
Traceback (most recent call last):
File "train.py", line 331, in
main()
File "train.py", line 53, in main
mp.spawn(run, nprocs=n_gpus, args=(n_gpus, hps,))
File "/home/ubuntu/so-vits-svc/venv/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 240, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
File "/home/ubuntu/so-vits-svc/venv/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 198, in start_processes
while not context.join():
File "/home/ubuntu/so-vits-svc/venv/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 160, in join
raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:
-- Process 0 terminated with the following error:
Traceback (most recent call last):
File "/home/ubuntu/so-vits-svc/venv/lib/python3.8/site-packages/torch/multiprocessing/spawn.py", line 69, in _wrap
fn(i, *args)
File "/home/ubuntu/svc4.0/so-vits-svc/train.py", line 138, in run
train_and_evaluate(rank, epoch, hps, [net_g, net_d], [optim_g, optim_d], [scheduler_g, scheduler_d], scaler,
File "/home/ubuntu/svc4.0/so-vits-svc/train.py", line 228, in train_and_evaluate
reference_loss += math.log(i, 10)
ValueError: math domain error