Comments (3)
FIX FOUND:
Even if your GPU memory is enough for training, the reverse part requires ADDITIONAL GPU memory.
I do not know if there is a workround in the code to improve this behavior. Right now we have to check the mem usage by eye.
from glow-pytorch.
You can reduce --n_sample
arguments to reduce number of samples or doing reverse steps in the cpus.
from glow-pytorch.
Thanks. I will try that :)
from glow-pytorch.
Related Issues (20)
- Something wrong with affine coupling? HOT 4
- Question: Does this work with larger resolutions? HOT 2
- coupling.py is error:The size of tensor a (2) must match the size of tensor b (62) at non-singleton dimension 1
- Conditional Gaussian prior parameters produce unnormalized likelihoods HOT 2
- Change image_size to 256 HOT 7
- File Checkpoint HOT 1
- a question about dataset
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- loss NAN HOT 1
- Maybe something wrong with affine paramter in argparse? HOT 1
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from glow-pytorch.