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31 Open 21 Closed
31 Open 21 Closed
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Issues list

RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [16, 1]], which is output 0 of AsStridedBackward0, is at version 3; expected version 2 instead. Hint: the backtrace further above shows the operation that failed to compute its gradient. The variable in question was changed in there or anywhere later. Good luck!
#57 opened Jan 19, 2024 by Cihannm
数据集
#56 opened Jul 20, 2023 by zi1zi
The predicted generated image is too similar to the input image
#55 opened Jul 15, 2023 by zhenzi0322
assign_adain_params function
#54 opened Dec 10, 2022 by KooroshRH
The link for the demo is not working
#51 opened May 18, 2022 by yujheli
Possibility to translate target class image to source class image?
#45 opened Oct 29, 2020 by kail85
Finetune on a new sample
#44 opened Jul 15, 2020 by lelechen63
Seek the AnimalFaces Dataset
#43 opened Jul 4, 2020 by LittlelittleZ
11
Pretrained model on other datasets
#42 opened May 7, 2020 by yannlif
FUNIT do not work for Anaconda 3 anymore
#41 opened Apr 29, 2020 by AlexRMU
GauGAN Page scrolls when painting using mobile device
#39 opened Apr 4, 2020 by bshelley1902
Fine tuning for a new dataset
#36 opened Dec 24, 2019 by Anurag14
Dataset download link is broken
#35 opened Dec 8, 2019 by rmokady
4
Why not use the reconstruction loss of style?
#33 opened Nov 14, 2019 by imlixinyang
seems not save images when write_html
#32 opened Nov 1, 2019 by CrossLee1
Why batch_norm is used inside AdaptiveInstanceNorm2d?
#31 opened Oct 8, 2019 by leitro
2
Why are you using this format D ?
#29 opened Sep 25, 2019 by Johnson-yue
face swap instead of pet swap
#25 opened Sep 3, 2019 by ak9250
20
Head portraits from different dogs are very close
#24 opened Aug 25, 2019 by primejava
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [4, 512, 16, 16]], which is output 0 of ConstantPadNdBackward, is at version 1; expected version 0 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).
#23 opened Aug 10, 2019 by Cognitron
33
G acc: 0.0000
#22 opened Aug 8, 2019 by hujinsen
4
How about setting larger K during training?
#14 opened Jul 24, 2019 by tau-yihouxiang
Would you please be so kind to share the checkpoint and script with me？
#13 opened Jul 16, 2019 by RBTlove11
3
We are still go through the code for a final check. The complete code will be likely release in June.
#12 opened Jul 1, 2019 by becauseofAI
1
When tool.py is shared?
#11 opened Jun 27, 2019 by yaxingwang
ProTip! Find all open issues with in progress development work with linked:pr.