@fchollet If I write a network in Keras/tf.keras which includes a Lambda layer, and given the fact that backend is tf, will that layer be supported by TFLlite?
Yes in theory. But TFLite doesn't support every TF op yet.
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The next big thing we can do is to make sure that every Keras op can run seamlessly on TFLite. This would encourage people using Keras to go for on-device ML inference instead of putting the model on a server.
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Yes, ideally we will get to a world where any model (even with custom layers) can be exported to any device, mobile, browser, embedded. And even retrained/fine-tuned on-device. We're already pretty close to that world.
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