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An unofficial PyTorch implementation of SNGAN (ICLR 2018) and cGANs with projection discriminator (ICLR 2018).

Results 8 pytorch.sngan_projection issues
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- [ ] prepare Dockerfile - [ ] push the build docker image to dockerhub - [ ] write tests - [ ] run `pytest tests` in the docker

enhancement

Hopefully with - [ ] some tests - [ ] jit option - [ ] amp

hi I see some cgan code use y in the input before first layer. So why do you use in block 3 and block 4 in SNResNetConcatDiscriminator? and also ,...

bug
good first issue
contribution welcome

There are some implementation wrong. Point out that the place to put the condition is different. Add condition to output after convolution such like, Unofficial(this repository) + https://github.com/crcrpar/pytorch.sngan_projection/blob/master/models/discriminators/snresnet.py#L92 + https://github.com/crcrpar/pytorch.sngan_projection/blob/master/models/discriminators/snresnet64.py#L92...

bug
duplicate
good first issue
contribution welcome

Hi, I found a bug in fid score. The normalization before inception model is written as: https://github.com/crcrpar/pytorch.sngan_projection/blob/7afdca4a0e4f2df2efbb585133cccb216b348545/models/inception.py#L128-L132 but it should be: https://github.com/mseitzer/pytorch-fid/blob/4e366b2fc9fb933bec9f6f24c5e87c3bd9452eda/inception.py#L130-L131 or it should be fixed like: ``` if...

bug
good first issue

I type python train_64.py --no_tensorboard and run it... I see the 'Initialized models...' print out and then I got a RuntimeError: CUDA error: initialization error. I am pretty sure my...

help wanted

Hi, train 64x64 dataset with your code . But it failed , and I test something ,like D network and loss Here is my result: 1. sn_projection Discriminator is good,...

bug

- [ ] SAGAN

enhancement