What does HackerNews think of coremltools?

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Language: Python

#26 in Machine learning
#12 in Tensorflow
Lisa Su Saved AMD. Now She Wants Nvidia's AI Crown | Jun 2023
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Instead of trying to integrate the whole stack of, say, pytorch, Apple's primary approach has been converting models to work with Apple's stack.

https://github.com/apple/coremltools

Clearly no one is going to be doing training or even fine tuning on Apple hardware at any scale (it competes at the low end, but at scale you invariably will be using nvidia hardware), but once you have a decent model it's a robust way of using it on Apple devices.
Accelerating TensorFlow Performance on Mac | Nov 2020
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It is not. See https://developer.apple.com/documentation/coreml and https://github.com/apple/coremltools.

The neural engine on the Apple A11 wasn't exposed to apps at least at launch, but that's no longer a thing on A12 onwards.
Apple's Shifting Differentiation | Nov 2020
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There are some areas where Apple is prioritizing getting developers on board with their hardware, and the neural engine seems like one of them.

Over the past couple of years, coremltools [1], which is used to convert models from Tensorflow and other frameworks to run on Apple hardware (including the neural engine when available), has gone from a total joke to being quite good.

I had to get a Keras model running on iOS a few months ago, and I was expecting to spend days tracking down obscure errors and writing lots of custom code to get the conversion to work -- but instead it was literally 3 lines of code, and it worked on the first try.

[1] https://github.com/apple/coremltools
TensorFlow on Mobile: TensorFlow Lite | Feb 2018
Some people are wondering if Tensorflow Lite would support CoreML / iPhone's neural engine. Tensorflow is not supported with coremltools (but I suppose Google could contribute a patch for this). I'm not sure about the CoreML libraries on the phone but from my understanding it may work.

Keras is supported out of the box with the Tensorflow backend though. See https://medium.com/@JMangia/super-simple-end-to-end-test-of-... and https://github.com/apple/coremltools