Hi Gourav, I am running the master inside a virtual box and running agent natively. I wanted the 1.0.1 since it claims the GPU support. You EC2 installation seem to verify that. I am using home-brew for the agent installation which is using the formula - https://raw.githubusercontent.com/Homebrew/install/master/install <https://raw.githubusercontent.com/Homebrew/install/master/install>
Suresh > On Nov 7, 2016, at 11:41 PM, Shenoy, Gourav Ganesh <[email protected]> > wrote: > > Hi Suresh, > > I have never used Tensor Flow, so not sure if I’ll be able to help there. But > with respect to the GPU support for Mesos, the current installation on EC2 > (v1.0.1) does detect GPUs, and the same is listed on their dashboard (NOTE: > our cluster is not GPU enabled, hence mesos dashboard shows GPU=0). > > Also, how are you installing Mesos on mac? Did you install any virtualization > software to create VMs (for master/slave)? > > Thanks and Regards, > Gourav Shenoy > > From: Suresh Marru <[email protected]> > Reply-To: "[email protected]" <[email protected]> > Date: Monday, November 7, 2016 at 11:27 PM > To: Airavata Dev <[email protected]> > Subject: Mesos GPU Support > > Hi All, > > I am trying some tensor flow tutorials and seem to have gone on a wrong > tangent. Can any of the Mesos hackers on this list help with get me get back > on track? > > I want run through benchmarks in [1] on mac with a GT 650M card. I got the > bundled example working but stuck in getting the tensor flow cnn tutorial > example [2] working natively on my mac. I tried to deploy the mesos first so > I could try to run tensor flow from Marathon as described in [3]. Have any of > you managed to get Mesos working on a Mac? If so, can you please point me to > instructions which worked for you? > > I want to have Mesos recognize and use the GPU card. From [4], it looks like > the latest release should have GPU support natively within mesos. Have any > one tried it? I am working through the tutorial [5] but I am blocked since > mesos on mac is not working correctly in the first place. But this tutorial > also seem to suggest to use spark to run tensor flow jobs. Any suggestions on > what is the best way to run tensor flow on gpu’s and use Mesos manage these > jobs? I prefer to do it on a mac, but if thats a bad idea, can try these > steps on EC2 instead. > > Thanks, > Suresh > > [1] - https://github.com/soumith/convnet-benchmarks > <https://github.com/soumith/convnet-benchmarks> > [2] - > https://www.tensorflow.org/versions/r0.11/tutorials/deep_cnn/index.html#convolutional-neural-networks > > <https://www.tensorflow.org/versions/r0.11/tutorials/deep_cnn/index.html#convolutional-neural-networks> > [3] - https://github.com/tensorflow/ecosystem/tree/master/marathon > <https://github.com/tensorflow/ecosystem/tree/master/marathon> > [4] - https://issues.apache.org/jira/browse/MESOS-4424 > <https://issues.apache.org/jira/browse/MESOS-4424> > [5] - > http://schd.ws/hosted_files/mesosconna2016/b9/GPU%20Support%20in%20Mesos.pdf > <http://schd.ws/hosted_files/mesosconna2016/b9/GPU%20Support%20in%20Mesos.pdf> >
