Doo Nam Kim

Results 17 comments of Doo Nam Kim

> Hard to understand what you mean. Could you let me know it in more details? Yes. In https://github.com/rosinality/vq-vae-2-pytorch/#stage-1 I see 16 pictures (e.g. 8 pictures in top row (1st...

> Does the number of images in your dataset is less than 8? No, my dataset is 3,000 images of FFHQ. > Anyway, top row is input images, and the...

> If your directory structure is something like FFHQ/data/, then you should set path to FFHQ, not FFHQ/data. -> My folder (.../FFHQ/data) has 'checkpoint', 'sample' and 'drive-download-20200823T020941Z-001' folders. 'drive-download-20200823T020941Z-001' folder...

> You can use directory structure and file formats that compatible with torchvision.datasets.ImageFolder. So you need to have directory structures like [DATASET NAME]/[ANY DIRECTORY NAME]/*.[IMAGE EXTENSIONS], that is, you need...

> @kimdn You just need make sample and checkpoint directory like in the repository. Image samples and model checkpoints will be saved in it. When I followed your guide, works...

> It's checking that your image size is a multiple of 8. Mixed precision training leads to dramatic speed ups only if your tensor dimensions are even multiples of 8,...

> Wow 17x! Great! I haven't noticed any accuracy degradation when using mixed precision training (admittedly with limited benchmarking), so I usually leave it on by default as well. For...

@donghuachensu I ran pip install -v --disable-pip-version-check --no-cache-dir ./ according to https://github.com/NVIDIA/apex#quick-start c++ installation (e.g. pip install -v --disable-pip-version-check --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./) never worked for my system (always resulted...

> Btw I seem to have a problem with installing MDAnalysis using pip -e . in the package folder: It install just fine in my venv python3.10.13 but then when...

> Wow that is a lot of epochs! Yes, I have run into nans during training before, but only with zdim=1 and usually triggered by impurities/non-standard images in the dataset....