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charlesCXK / TorchSemiSeg

[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
MIT License
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Hardware problem #42

Open wing212 opened 3 years ago

wing212 commented 3 years ago

Hello, I am using double 3090 cards for training, but the following problems have occurred. I would like to ask what kind of hardware equipment do you use EVHQQT8)@%GZ`07ZT`FUDZV ?

charlesCXK commented 3 years ago

Hi, we use Tesla V100. However, the GPU type may not be the real issue. Have you installed and compiled Apex successfully? If you have installed it successfully but the issue still exists, we recommend you to use the docker environment we provide.

wing212 commented 3 years ago

Thank you for your answer. Finally, I solved the problem, it is indeed the cause of APEX.

ZixunWang commented 2 years ago

@wing212 Hi, I haved also encountered this problem. How did you solve this problem of apex?

Carmen279252 commented 1 year ago

Hello, I am using double 3090 cards for training, but the following problems have occurred. I would like to ask what kind of hardware equipment do you use EVHQQT8)@%GZ07ZTFUDZV ?

hello! I used RTX3090 to run this code, but this order ' conda env create -f semiseg.yaml' can't run sucessifully, I changed semiseg.yaml such as use cuda 11.0 instead of cuda 9.0, but this not work. could you give me your semiseg.yaml file? think you!!!!!!