Crap. I refactored the conv use generic types instead of copy pasted code for each type (I've fixed the native framework to be generic, at least w.r.t. convolutions), but in my infinite wisdom, I've forgotten about Cuda's backend.
@DiamondLovesYou Richared did this PR make it into 2.1 ?
Michael Hirn (MJ)
No it didn't. We didn't manage to review it, yet. But thanks for reminding me. I am on it.
I just wrote that into an issue but only afterwards realised there is a chat here. What do I have to do to get this to run on OSX? There is a pull request which has been merged on April 10th. Is that in 0.0.8 yet?
@DiamondLovesYou do have time for a chat?
you did some pretty great work there with the conv fixup
@drahnr Hey, sure! And thanks!
(Sorry just saw this!)
@DiamondLovesYou no worries
I would like to have a quick chat with you about collemchyma this week if you are interested :)
mostly about design decisions that were made and if you are interested in further pushing it
Hi all, are there any FPGA-specific backend plugins implemented or under development?