On Sun, Sep 04, 2016, [email protected] wrote: > Thank you nouiz! Great to know. Does that imply that the new conv2d doesn't > use full parallelism capabilities as the old one? > BTW in both the experiments that I've run I've tested the new conv2d > against the old with openblas and mkl-intel libraries. > The results were the same the old one utilizes better the available cores.
Just to clarify: the cores being used 100% and the computation being completed faster are two different things. The new conv2d code (using corrMM on the CPU, which uses BLAS) should be much more efficient overall, and may _need_ less CPU usage, making the CPU less busy, but it may still be faster. Did you time or profile the actual execution time? > The new one fluctuates a lot. But the down side is that > the old conv2d doesn't support arguments for strides and padding besides > the pre-defined ones. > > Thanks again. > > > On Thursday, September 1, 2016 at 4:55:05 PM UTC+1, nouiz wrote: > > > > They use different implementation. Make sure Theano use a parallel blas > > library. The new conv2d use it for part of the parallelism. > > > > Le 25 août 2016 21:53, <[email protected] <javascript:>> a écrit : > > > >> Hi everyone, > >> > >> I've recently come across some weird behaviour regarding the new > >> theano.tensor.nnet.conv2d > >> and the old > >> theano.tensor.nnet.conv.conv2d > >> convolution functions. > >> > >> I have 2 different models one uses the old the other the new conv2d > >> method. > >> The difference between the two is that the the model that uses the new > >> conv2d methods has more layers than the other one, plus that I've > >> explicitly defined padding and stride. > >> > >> Other than that everything else is the same. Number of data, training > >> algorithm, batchSize .... etc. pretty much the same. > >> > >> Once I execute them, the smaller model with the old conv2d method > >> utilizes all the cores in my system ;) great. > >> The bigger model with the new conv2d method doesn't, which is strange > >> because in this case the bigger the model the more resources would need. > >> > >> Are there any differences in the way the two conv2d methods utilize > >> openmp? > >> > >> -- > >> > >> --- > >> 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. -- Pascal -- --- 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.
