Board report time. Any committer available to write something?
Reminder of the template:
MXNetA Flexible and Efficient Library for Deep LearningMXNet has been
incubating since 2017-01-23.Three most important issues to address in
the move towards graduation: 1. 2. 3.Any issues that the
Definitely in favour of dropping support!
On Tue, Apr 3, 2018 at 12:22 AM, Chris Olivier
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
I would request for a 5-10 min lightning talk slot for providing updates on
what me and other contributors are working on with Keras2-MXNet project.
And, also where we need more contributions from the community and resources
to get started for users/contributors.
Best,
Sandeep
On Sat, Mar 31,