thomasverelst / dynconv

Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)
https://arxiv.org/abs/1912.03203
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发生异常: RuntimeError CUDA error: the launch timed out and was terminated File "/home/lym/Compare experiment new/classification/main_cifar.py", line 72, in main model = net_module(sparse=args.budget >= 0, pretrained=args.pretrained).to(device=device) File "/home/lym/Compare experiment new/classification/main_cifar.py", line 232, in <module> main() #14

Open liuyiming199721 opened 1 year ago

liuyiming199721 commented 1 year ago

This code is buggy and the environment configuration is fine, the server is 4090,24 gigabytes of video memory。 model = net_module(sparse=args.budget >= 0, pretrained=args.pretrained).to(device=device)