Remove those flags. They slow down execution, new version Ron faster without them.
The CPU stay at 100%due to the driver doing busy wait on the GPU! So if your GPU usage is high, don't worry, all should be good. Fred Le jeu. 2 mars 2017 18:26, Asghar Inanlou Asl <[email protected]> a écrit : > Update: I tried the same convolution in Keras with Theano backend. It is > shockingly faster than theano despite the fact that they also use conv3d ( > here > <https://github.com/fchollet/keras/blob/master/keras/layers/convolutional.py#L1028> > ) > > > On Thursday, March 2, 2017 at 2:48:14 PM UTC-8, Asghar Inanlou Asl wrote: > > Hey guys, > > My cpu utilization is 100% when using theano.tensor.nnet.conv3d > I am adding conv3d_fft, convgrad3d_fft and convtransp3d_fft to my > compiling mode in the theano function. > The interesting part is my gpu utilization is also high. > Any ideas about why it uses cpu? > > Thanks! > > -- > > --- > 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. > -- --- 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.
