Comments (3)
@ramnoob hey thanks! i've added a --num-worker
flag so you can specify the number of workers in 0.17.6
let me know if that works!
from lightweight-gan.
Thanks for the quick response!
The above phenomenon was occurring in the conda environment.
But then I started training in a pure Win10 CMD environment and it ran fine.
Training is expected to take a week.
After the training, I'll try ver0.17.6 in conda environment.
from lightweight-gan.
@lucidrains Hello!
I upgraded the version to 0.17.6 and ran it in the conda environment, but it doesn't seem to work.
Lightweight_gan --data datasets --image-size 512 --num-worker 1
I get the same [Errno 32] Broken pipe
.
However, it works well in the WindowsCMD environment, so I am not troubled!
I think it would be better if a learning rate curve could be obtained at running or the end of the run, so please consider implementing it if you have enough capacity!
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Related Issues (20)
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