Comments (1)
I've not used Docker at all (well, I've not successfully used Docker at all), but I can try to point you in the right direction. I was running this with python 2.7.12, Theano 0.7 or 0.8, and Lasagne 0.2 back in 2016, on GTX 980s and my laptop GPU for inference (GT730m).
At the end of the day though, I'm not sure you'll be able to run it on the V100s, what with Theano being deprecated and this code being 2+ years old at this point.
If you just want to use the interface, it should be trivial to plug in a PyTorch/Chainer/TF pre-trained GAN, just implement the appropriate methods in API.py.
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Related Issues (15)
- Which library versions are used? HOT 4
- Failed to interpret file IAN_simple.npz as a pickle HOT 9
- Numpy fails to interpret IAN_Simple.npz? HOT 1
- Failed to interpret file 'IAN_simple.npz' as a pickle HOT 2
- Pretrained model npz files are empty HOT 1
- Possibly incorrect implementation of Batch Renorm HOT 1
- IOError: Failed to interpret file 'IAN_simple.npz' as a pickle HOT 1
- No module named path HOT 1
- trained faces are all blury and seems not learnt HOT 5
- No module named CAcheckpoints
- CPU support HOT 7
- Easier option to not use cuDNN HOT 3
- "fuel-download celeba" returns Dropbox HTML HOT 3
- IDEA: Option to save changed image as the new ground-truth image HOT 3
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