+1 cudnn doesn't support this either. On Tue, Apr 3, 2018, 2:03 AM kellen sunderland <[email protected]> wrote:
> I doubt practically speaking that many pre-Keplar devices would be that > useful for MXNet anyway. +1 to dropping them and making our codebase more > readable / maintainable. > > On Tue, Apr 3, 2018 at 12:23 AM, Marco de Abreu < > [email protected]> wrote: > > > Definitely in favour of dropping support! > > > > On Tue, Apr 3, 2018 at 12:22 AM, Chris Olivier <[email protected]> > > wrote: > > > > > Cuda9 nvcc no longer supports Fermi (pre-Kepler) architectures (2.0, > 2.1) > > > It appears that neither TensorFlow or PyTorch support Fermi. > > > > > > Are there any objections (with justification) to continue support for > > Fermi > > > (20, 21)? > > > > > >
