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2018-06-03
Channels
- # beginners (112)
- # boot (13)
- # cider (17)
- # cljsjs (2)
- # cljsrn (8)
- # clojure (57)
- # clojure-spec (2)
- # clojure-uk (5)
- # clojurescript (51)
- # cursive (4)
- # data-science (15)
- # datomic (1)
- # duct (17)
- # garden (4)
- # lein-figwheel (49)
- # midje (1)
- # nyc (1)
- # off-topic (8)
- # pedestal (1)
- # portkey (20)
- # re-frame (4)
- # reagent (27)
- # ring (1)
- # shadow-cljs (24)
- # spacemacs (7)
- # specter (3)
- # sql (5)
- # yada (5)
If you’re interested in taking it for a test drive and reporting any issues that would be totally cool 🙂
Here’s an introduction blog post to go with it http://gigasquidsoftware.com/blog/2018/06/03/meet-clojure-mxnet-ndarray/
Hello, @U04VAD6RL! Thank for your work! Which version of cuda and cudnn I should use for building mxnet from source? It doesn't work on cuda 9.0 and cudnn 7.0. Also, I pull compiled jar from clojars, install cuda 8.0 and cudnn 6.0, run gan example and failed. I can post stacktrace later.
Thanks @U0NBJDK4N so much for giving it a try! Here are the details of the jars https://cwiki.apache.org/confluence/display/MXNET/MXNet-Scala+Release+Process
lein test
working without errors, but only on cpu( in deps I choose [org.apache.mxnet/mxnet-full_2.11-linux-x86_64-gpu "1.2.0"]
Can you post an error you get from the gpu enabled build? It might give some more info
yep, i’m on it
lein test
running without error, both on CPU and GPU versions, on a Docker container based on nVidia's nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04
base image.
It needs a dependency that's not packaged in Ubuntu (neither in 16.04 nor in any of the latter versions), but once you install it, it works as expected.
I'm opening an issue in Github with all the relevant details.
Edit: forgot to mention that the we run the Docker container on a Linux host (in case that makes a difference).