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even though TensorFlow and Fabric are conceptually similar things, they still do drastically different jobs.
I've created a simple TensorFlow binding for a project I'm building, here - https://github.com/FrozenKiwi/FabricTensorflow
The binding is extremely simple, it only allows for loading pre-trained models and evaluating them. The binding uses a home-grown extension of kl2edk that automates the building of KL extensions (similar to Kludge - I created it before Kludge and still find it markedly easier to use).
Feel free to use/abuse/wha-eva.
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