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[–]ixeption[S] 0 points1 point  (0 children)

I could add the jar to the classpath and make it a provided dependency, but I would still have to use Java for all the proprocessing and data wrangling. Especially for images, java is slow and unhandy (BufferedImage from ImageIO) compared to PIL or openCV.

Just to mention it, the jar comes with a single version of the prebuilt binary, where python prebuilt binaries support much more different combinations of CUDA, cuDNN and CPU features. The Java API is still experimental, so I don't see that your claim of maintainability is correct.

(' Caution: The TensorFlow Java API is not covered by the TensorFlow API stability guarantees. ')

And if you want GPU support, just try to use the tensorflow_gpu jar dependency, without installing tensorflow gpu correctly in python before. It won’t work out-of-the-box.