Dear 侠贵族 , Maybe you can try to set the cuda root: http://deeplearning.net/software/theano/library/config.html#config.config.cuda.root
cheers gaebor 2017. február 28., kedd 8:18:57 UTC+1 időpontban 侠贵族 a következőt írta: > 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.
