StephenBoesch

So I have the updated pom.xml but can not test it.

OK it appears that the requirement were to build javacpp for mac locally: shown here; https://github.com/bytedeco/javacpp-presets/wiki/Build-Environments I will get back after attempting to use the locally built presets.

Wow. Building javacpp-presets is a big complicated deal. Is there any documentation you guys have about how to do it wrt SparkNet?

Those instructions do not work for mac/osx. I have been following the instructions for mac/osx from the javacpp-presets site. After about an hour of compilations there is a failure on...

This issue should be marked as depending on https://github.com/amplab/SparkNet/issues/139

fyi I have narrowed down the javacpp-presets build issue to a corrupted version of libpng-1.6.17.tar.gz. I downloaded the file manually from http://pkgs.fedoraproject.org/repo/pkgs/libpng/libpng-1.6.17.tar.gz and am now re-running bash cppbuild.sh install Let...

The installation is challenging. I need to troubleshoot missing files . e.g. p>The requested URL /project/boost/boost/1.57.0/boost_1_57_0.tar.gz was not found on this server. So then the solution is to find the...

The earlier javacpp version used by SparkNet no longer can be built. So if SparkNet has migrated/upgraded that would be good news. I will pull latest from trunk and see...

Awesome! This may be a fair bit less complicated than anticipated from our perspective. I am interested in trying out that trait with another ml library. Please suggest which test(s)...

OK i will first dig a bit into the javacpp-presets as a background and then at the JavaCpp-presets for TensorFlow. ETA for an update is late Thursday 2/18 2016-02-16 21:52...