BigGAN-PyTorch

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Question regarding the MultiEpochSampler

1

I've been reading the codebase, and find the MultiEpochSampler looks weird to me. Don't know if I understand it correctly, but it seems to me that in function utils.get_data_loaders train_set...

zxhuang97

Add arch for 256x256 images in discriminator and fix off-by one in arch[256] attention parameter. Taken from https://github.com/ajbrock/BigGAN-PyTorch/issues/40

murbard

Separius

First off, huge thanks to Andy for the PyTorch implementation! However, I encountered a cublas error after a few iterations: when using pytorch 1.5 with cuda 10.2 on two RTX...

phymhan

Looking forward to offical TPU-version BigGAN code~

1

Hi ajbrock, Thanks for open-source BigGAN code, which benefits a lot on other explore of BigGAN. But considering the cost of time, we hope to train biggan on TPU, so...

AaronAnima

I have trained biggan with over 21000 images but the results are not good, I want to know at least how much data does biggan need for the model to...

namtp-ai

Hi, I am building my own model on top of this code and am trying to speed up i/o speed so I am working on using hdf5 file for my...

colinshenc

How to understand the result given by discriminator?

1

Hi, I want to use the discriminator alone. Following is my code: ```python import torch from BigGAN import Discriminator import utils from utils import Distribution def load(): path ='pre-trained/138k/' d_state_dict...

yqtianust

Would this just make memory issues more pressing? Was hoping for a 1024 version of this BigGAN to be feasible over a 1024 ProGAN version such as https://github.com/tkarras/progressive_growing_of_gans

thomasgwatson

fix the D_ch in scripts

1

The G_ch appears twice. I believe one of them should be D_ch

yqtianust