I tried both 0.8 and 0.9 releases. Thanks for the suggestion.
On Thursday, March 23, 2017 at 8:43:53 PM UTC+8, nouiz wrote: > > True as of Theano 0.9. 0.8 don't include a cpu corrmm from memory. > > If you are really intersted by CPU speed, Intel have a fork of Theano that > they have optimized on CPU: > > http://github.com/intel/Theano > > It will probably be merged into the master of Theano at some point, but no > timeline. > > Fred > > On Tue, Mar 21, 2017 at 9:18 PM Jesse Livezey <[email protected] > <javascript:>> wrote: > >> That is correct as of theano 0.8 (I think). >> >> If you use the bleeding edge version of theano, you can let CorrMM use >> openmp to parallelize across batches. If you have more than 2 cores, this >> should give additional speedup. GPUs are going to be much faster than CPUs >> generally, if you have large batches and lots of cores, CPUs can catch up a >> bit, but GPUs are still going to be faster. >> >> >> On Monday, March 20, 2017 at 11:59:52 PM UTC-7, C. Ng wrote: >>> >>> Hi, >>> >>> Just want to confirm that theano.tensor.nnet.conv2d uses CorrMM (not the >>> legacy convolution) by default in CPU mode ? >>> >>> I was hoping that forward prop (doing inference only, no training) using >>> CPU for convolution might be as fast as GPU (using CorrMM), given my batch >>> size is only 10. But using GPU is still quite a bit faster. >>> >>> >>> >>> >>> >>> >> -- >> >> --- >> 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] <javascript:>. >> 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.
