Hi, I have a piece of code which basically trains a GRU to learn from some sequences. I am training the neural network on each individual sequence(batch size = 1). When I am running the training code on my local machine which has a Nvidia gtx 960m, it takes about 3.09 secs for ~ 10 data points. But when I run the same code on aws ec2 p2.xlarge machine which has a Nvidia Tesla K80 GPU, surprisingly the time taken for exactly same sequences is around 4.93 seconds. This is very disheartening right now. I have tried switching AMI's as well. Originally I used a clean install of ubuntu 14.04 and installed cuda, cudnn and theano myself. The second image I took from amazon marketplace which had all these things installed. The code is exactly the same with no difference at all. Any pointers which can help?
Thanks, Daksh -- --- 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.
