Comments (6)
Replace all 64
with 32
of Generator.__init__
( in net.py ), the max gpu memory usage is around 7500MiB, it goes well with my GTX 1070
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I met the same issue. I think the GPU memory required may be >= 12G. I havn't found any workable method to solve it.
Any thought of solution would be appreciated. Thanks.
from psgan.
I met the same issue. I think the GPU memory required may be >= 12G. I havn't found any workable method to solve it.
Any thought of solution would be appreciated. Thanks.
I delete part of the parallel calculation code(in solver.py from line125 to line134), it can work.
from psgan.
export CUDA_VISIBLE_DEVICES=0 before running python main.py
It seems parallel calculation needs the GPU memory >=12G.
from psgan.
from psgan.
Replace all
64
with32
ofGenerator.__init__
( in net.py ), the max gpu memory usage is around 7500MiB, it goes well with my GTX 1070
That's a good idea. Just reduce the dimension of the bottlenecks.
from psgan.
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