It's not useful. I have copied cuDNN lib include and bin files to CUDA-8.0. And set [dnn] enabled=True, [lib] cnmem=0.70.
With "device = gpu", It's successfully showing Using gpu device 0: GeForce GTX 670 (CNMeM is enabled with initial size: 70.0% of memory, cuDNN 5110) With "device =cuda", the error is same. 在 2017年2月27日星期一 UTC+8下午8:42:31，Kiuhnm Mnhuik写道： > > You can try disabling cuDnn: > > http://deeplearning.net/software/theano_versions/0.9.X/library/config.html#config.config.dnn.enabled > Basically, add > [dnn] > enabled=False > to .theanorc. > > On Monday, February 27, 2017 at 10:36:41 AM UTC+1, 侠贵族 wrote: >> >> I did not install cuDnn. Dose the new cuda backend must need it? > > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
