agrimgupta92 / sgan

Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
MIT License
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Version of cuda and cudnn #76

Closed YihaoChan closed 4 years ago

YihaoChan commented 4 years ago

Dear fellows, when I was running train.py, I encountered an error, whose last line is showed as follows:

RuntimeError: cublas runtime error : the GPU program failed to execute at /pytorch/aten/src/THC/THCBlas.cu:143

I searched this problem from several pages, learning that it may be caused by the difference between the versions of cuda and cudnn from the author's and mine. I tried the combinations of cuda 9.2 & cudnn 7.1, as well as cuda 9.0 & cudnn 7.1. Unfortunately both were in vain. So could you please tell me the correct environment to correctly run this project?(including all the versions of cuda, cudnn, etc.)?

My CONFIGURATION: torch==0.4.0, torchvision==0.2.0, GTX1650(Notebooks), python3.6, Ubuntu18.04.

This problem was extremely torturing... Thanks a lot in advance!!!

Jhfyut commented 1 year ago

hi,How did you solve the problem