Soumith Chintala

this is fixed if you use the latest cunn, i believe: luarocks install cunn But dont count me on it.

https://github.com/jcjohnson/densecap/issues/22#issuecomment-237622362

Oh lastly, a good timeline for this would be to get an initial round of benchmarks by **June 15th** (since I only gave some of you a heads-up right now)

@daviddao @vrv @hughperkins @f0k for V1, I thought we should just go with synthetic data. It's very hard to setup to-convergence benchmarks, as there are very fine details wrt convergence...

@forresti yea, for historical context it used to be not like that, but it is like that now. I think for LSTMs and RNNs, a lot of perf is still...

@naibaf7 some of the benchmarks wont be able to run on the AMD cards which right now seem to be limited to 4GB variants. I have a Fury Nano that...

After talking to Rajat from the TensorFlow team, we thought that an automated Jenkins server will go a long way in maintaining these benchmarks, as well as benchmarking on new...

@andravin accuracy / convergence tests are off the table atleast for the first deepmark release. There's simply not enough bandwidth / man-power to pull it off. > I have considered...

@andravin they ARE benchmarks, and actually my early versions of deepmark iterated on convergence speed. But this requires way more effort than is available, so i converged onto something a...

@andravin no. not in V1.