Training and Inference Scripts
Hi, amazing work indeed !
I wonder, can you please release the training and inference scripts to be able to exactly reproduce your ImageNet 256x256 (and 512X512) results ?
In addition, can you please provide information about the number of nodes/GPUs used for each of the ImageNet256 and ImageNet512 experiments ?
ty @achen46! You can check out https://github.com/FoundationVision/VAR/blob/main/demo_sample.ipynb for our inference demo. For training cost I'll post more details on readme soon. Our most expensive 512x512 experiment use 256xA100 for around 4days.
Thank you for your good work! I also wonder, can you release the inference scripts to be able to reproduce your results? I just tried to reproduce your result on ImageNet 256 x 256 using your checkpoint. Thank you very much.
Hi @keyu-tian
Thank you so much for providing the pointer !
As mentioned, I am interested in a (shell) script that I can run to start training the model and be able to reproduce the results. Basically, all I need is a self-contained script (with all hyper-parameters) that can be run. Also obviously, need to know how many nodes are used.
256x256 ImageNet would suffice to begin with.
any update?
@achen46 @yyyouy @morestart I got swamped with work recently, but the training codes & scripts are now out! I'll post more scripts for inference and zero-shot demos in the next. Feel free to drop an issue again if you run into any problems.
Thanks, and have fun with VAR!