Qijia Shen
Qijia Shen
if the dataset is tile format, it will update and gets trained in run_chunk()
Hi, I'm curious about how you manage to install the opencv requirements before compiling the code. Since I only see these before compilation ``` !git clone https://github.com/depctg/udacity-cs344-colab !pip install git+git://github.com/depctg/nvcc4jupyter.git...
Hi there, I noticed the the GPU memory consumption during training is unbalanced. To be more specific, I used 8 GPUs for training. It seems that GPU 0 uses 13449...
Hi! I found that GPU memory consumption is highly unbalanced between GPU0 and the rest of GPUs. Here's the command I used to train on imagenet with resolution 128. **CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7...
Hi, thank you so much for sharing this great work. I'm thinking of doing some finetune one the 128^2 imagenet pretrained pkl model. However, I'm not sure how could I...
Dear sigpy developers, I had some NUFFT code written using irt by jeff fessler, and I was hoping to migrate to sigpy. However I found the results are quite different,...
Hi! I'm trying to use class conditional generation on stylegan2-ADA, but couldn't find the num_classes option for the vision aided discriminator https://github.com/nupurkmr9/vision-aided-gan/blob/95fc55beefad3e868783beab421108c5baf583aa/stylegan2/vision_module/cv_discriminator.py#L55
Hi, there! May I ask how long would the training normally takes for training on the CIFAR10 and ImageNet? I'm using 4x 16GB V100 GPUs I used the following settings...
I tried the example `python main.py --text "a hamburger" --workspace trial -O`, although the hamburger image could be generated after iterations, the loss in tensorboard didn't drop at all. May...
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