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)? > > >
