Raspberry Pi3でTensorFlow XLAを動かせないかな?

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githubのsamjabrahams/tensorflow-on-raspberry-piの
Question on GPU #15に、samjabrahams さんが

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That's a pretty fun idea! I can imagine it being a good exercise, and useful if it's implemented correctly. For me personally, it'll have to be a back-burner idea, but I'll leave some links that might be useful moving forward with that idea:

Mirror of the official Videocore IV architecture reference guide
Unofficial Broadcom Videocore IV documentation and samples
The programmers guide from that repo
More unofficial samples and documentation
Implementation of GEMM matrix multiplication on RPI
Assembler/disassembler for the RPi QPU
First of blog posts by Pete Warden on deep learning on RPI
Second (and lengthier) post by Pete Warden
I'll reopen this thread to increase discoverability.

で、TensorFlow XLAをやればいいと。。。

GPU側は、Python library for GPGPU on Raspberry Piを使えばいいのでは？

TensorFlow r1.3で導入された XLA Plugin で、HLOで最適化されたものを Py-VideoCore を使って、
GPUで処理できるところはGPUで、できないところはCPUでやるという感じに。。。

どうだろうか？