Regarding Deeplearning4j / Nixie / Jetson TX2
Is is "just" Openblas and libnd4j that needs to compile on the tx2 (arm64 / aarch64 / CUDA version: release 9.0 V9.0.252), or is it more to it than that ?
[ERROR] Failed to execute goal on project mrl: Could not resolve dependencies for project org.myrobotlab:mrl:jar:0.0.1-SNAPSHOT: The following artifacts could not be resolved: org.bytedeco.javacpp-presets:ffmpeg:jar:linux-aarch64:2.8.1-1.1, org.nd4j:nd4j-native:jar:linux-aarch64:1.0.0-alpha, org.bytedeco.javacpp-presets:openblas:jar:linux-aarch64:0.2.20-1.4.1, jdk.tools:jdk.tools:jar:1.8: Failure to find org.bytedeco.javacpp-presets:ffmpeg:jar:linux-aarch64:2.8.1-1.1 in https://repo.maven.apache.org/maven2was cached in the local repository, resolution will not be reattempted until the update interval of central has elapsed or updates are forced -> [Help 1]
I compiled TensorFlow and that whent ok, but i understand it wil take some work from you gurus to
implement it to Nixie, and there is probaly more urgen matters than this...
For anyone else looking for info on Nixie / TensorFlow progress:
Last question, i would be nice just to test out Nixie a bit on the TX2, is there some way in Maven to "disable"
the bits that dosent currently compile so i could compile a Nixie jar without them?
And if there is anything i can do to help, please let me know