Hi all,
I tried to use in GroovyLab ?(https://github.com/sterglee/GroovyLab) the
ND4j Java scientific library
(https://github.com/deeplearning4j/deeplearning4j) , by placing the
corresponding .jar file at the classpath of GroovyShell.
Unfortunately, it has problem to initialize the backends (i.e. native
code, e.g. OpenBLAS, Intell MKL, NVIDIA CUDA etc),
and code such as
x= org.nd4j.linalg.factory.Nd4j.rand(9,9)
fails.
With Java9's JShell such code works and it is possible to work with the
ND4j in a scripting MATLAB like style.
But also by using the JShell's API from GroovyLab,
I have the same problem as with GroovyShell, i.e. backend initialization
failure.
Also with GroovyConsole the backend isn't properly initialized.
Any opinion about the problem?
Best Regards
Stergios
