Hi Kellen, 1) Does Apache MXNet (Incubating) have a support matrix? I think the answer is no, because I don’t know of where it is documented. One of the mentors told me earlier that the community uses and modifies the open-source project as per their individual requirements or those of the community. As far as I know, there is no single entity that is responsible for supporting something in MXNet — corrections to my understanding are welcome.
2) I think your question probably is what should be tested by the Apache MXNet CI and NOT what is supported by Apache MXNet, correct? If yes, I propose testing only the latest CUDA9 and the respective latest cuDNN version in the MXNet CI since CUDA9 is backward compatible with earlier Nvidia hardware generations. I would like to hear reasons why this would not work. I have commented on the github issue as well: https://github.com/apache/incubator-mxnet/issues/8805 Bhavin Thaker. On Sat, Jan 6, 2018 at 3:30 AM kellen sunderland < kellen.sunderl...@gmail.com> wrote: > Hello all, I'd like to propose that we nail down exactly which versions of > CUDA we're supporting. We can then ensure that we've got good test > coverage for those specific versions in CI. At the moment it's ambiguous > what our current policy is. I.e. when do we drop support for old > versions? As a result we potentially cut a release promising to support a > certain version of CUDA, then retroactively drop support after we find an > issue. > > I'd like to propose that we officially support N, and N-1 versions of CUDA, > where N is the most recent major version release. In addition we can do > our best to support libraries that are available for download for those > versions. Supporting these CUDA versions would also dictate which hardware > we support in terms of compute capability (of course resource constraints > would also play some role in our ability to support some hardware). > > As an example this would mean that currently we'd officially support CUDA > 9.* and 8. This would imply we support CUDNN 5.1 through 7, as those > libraries are available for CUDA 8, and 9. It would also mean we support > 3.0-7.x (Kepler, Maxwell, Pascal, Volta) taking the more restrictive > hardware requirements of CUDA 9 into account. > > What do you all think? Would this be a reasonable support strategy? Are > these the versions you'd like to see covered in CI? > > -Kellen > > A relevant issue: https://github.com/apache/incubator-mxnet/issues/8805 >
