thomasverelst dynconv issues - Githubissues

thomasverelst / dynconv

Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)

https://arxiv.org/abs/1912.03203

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Issue with Preprocessing MPII Dataset for Pose Estimation Project

#15 xiaoran-roosevelt opened 2 weeks ago
0
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 liuyiming199721 opened 1 year ago
0
Questions about mask usage in convolution

#13 antao97 opened 1 year ago
0
Questions about mask generation

#12 magehrig opened 2 years ago
2
About pose environment

#11 CheungBH closed 2 years ago
1
question about the sparsity_target

#10 albertszg opened 2 years ago
2
license

#9 fbagci closed 3 years ago
3
/annot/valid.json is missing

#8 zhang-pengyu opened 3 years ago
3
Training on Google Colab

#7 fbagci opened 3 years ago
1
Ponder_Cost_Plotting

#6 rida-rida opened 3 years ago
0
About the "Classification with efficient sparse MobileNetV2"

#5 linjing7 opened 3 years ago
2
Does the cuda version support standard convolutions?

#4 wenbinTse opened 3 years ago
2
Mask calculation

#3 qiulinzhang opened 4 years ago
6
About multi-gpu training

#2 d-li14 opened 4 years ago
5
A question about soft-mask calculation

#1 peter943 opened 4 years ago
2