Right, the code changes would not be validated against CUDA 8.0 as part of the PR process.
I don't have any numbers, but it's pretty unlikely that anybody is still using CUDA 8.0. According to https://en.wikipedia.org/wiki/CUDA#GPUs_supported, the devices which are not being supported by CUDA 9 are under the Fermi architecture which has been released in April 2010. These GPUs are way too old, so I think we're safe with not covering them specifically - this does not mean we're entirely deprecating them. One thing to note here is that we're not testing CUDA 9 as of now. Considering that the Telsa architecture (Titan V, V100) requires at least CUDA 9 and those are probably the most widely used GPUs for Deep Learning, we'd probably be covering a wider user-base in comparison to CUDA 8 if we make that switch. -Marco On Wed, Mar 14, 2018 at 5:59 PM, Naveen Swamy <[email protected]> wrote: > Does this mean that MXNet Users who use CUDA 8.0 will not be > supported(since you are stopping to test CUDA 8.0) ? I suggest we at least > have nightly tests for CUDA 8.0. > > Do you have a sense of how many users are using CUDA 8.0/9.0 ? > > -1 > > > On Wed, Mar 14, 2018 at 9:50 AM, Chris Olivier <[email protected]> > wrote: > > > +0 > > > > On Wed, Mar 14, 2018 at 9:45 AM, Jin, Hao <[email protected]> wrote: > > > > > +1 > > > > > > On 3/14/18, 9:04 AM, "Anirudh" <[email protected]> wrote: > > > > > > +1 > > > > > > On Mar 14, 2018 8:56 AM, "Wu, Jun" <[email protected]> wrote: > > > > > > > +1 > > > > > > > > On 3/14/18, 8:52 AM, "Marco de Abreu" < > > [email protected]> > > > > wrote: > > > > > > > > Hello, > > > > > > > > this is a vote to upgrade our CI environment from the current > > > CUDA 8.0 > > > > with > > > > CuDNN 5.0 to CUDA 9.1 with CuDNN 7.0. Reason being that NVCC > > > under > > > > CUDA 8 > > > > does not support the Volta GPUs used in AWS P3 instances and > > thus > > > > limiting > > > > our test capabilities. More details are available at [1]. > > > > > > > > In order to introduce support for Quantization [1], I'd like > to > > > > perform a > > > > system-wide upgrade. This should have no negative impact in > our > > > users > > > > but > > > > rather makes sure that we're actually testing with the latest > > > > versions. The > > > > PR is available at [3]. > > > > > > > > This means that we would stop verifying CUDA 8 and CuDNN 5.0 > as > > > part > > > > of our > > > > PR process. At a later point in time, this could be picked up > > as > > > a > > > > candidate for an integration test as part of the nightly > suite. > > > > > > > > This is a lazy vote, ending on 17th of March, 2018 at 17:00 > > (UTC > > > +1). > > > > > > > > Best regards, > > > > Marco > > > > > > > > > > > > [1]: https://issues.apache.org/jira/browse/MXNET-99 > > > > [2]: https://github.com/apache/incubator-mxnet/pull/9552 > > > > [3]: https://github.com/apache/incubator-mxnet/pull/10108 > > > > > > > > > > > > > > > > > > > > > > > >
