chrishkchris opened a new pull request #709: URL: https://github.com/apache/singa/pull/709
I see some other frameworks have updated their cudnn to 7.6. Our cudnn version is quite old, so I modify the version of cudnn from 7.3.1 to 7.6.5 (in conda env as well as docker env). Therefore, when we do performance analysis, we can base on same/similar version of cudnn. Meanswhile, the speed seems does not change, compared in panda13 (cuda 10.2). (i) cudnn 7.3.1 ``` (singapy36) dcsysh@panda13:~/singa/examples/cnn$ python3 benchmark.py 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:13<00:00, 7.56it/s] Throughput = 241.5528073484408 per second TotalTime=13.247620820999146 Total=0.13247620820999145 ``` (ii) cudnn 7.6.5 ``` (singapy36cudnn765) dcsysh@panda13:~/singa/examples/cnn$ python benchmark.py 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:13<00:00, 7.55it/s] Throughput = 241.11137013487107 per second TotalTime=13.271875143051147 Total=0.13271875143051148 ``` ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
