Indeed, having a coreml runtime support would be quite interesting for our iOS
backend
---
[Visit Topic](https://discuss.tvm.ai/t/rfc-coreml-runtime/6309/5) to respond.
You are receiving this because you enabled mailing list mode.
To unsubscribe from these emails, [click
here](https://di
[quote="kazum, post:3, topic:6309"]
$(xcode-select -p)/usr/bin/coremlc
[/quote]
XCode 10.1 works. (Post must be 20 characters)
---
[Visit Topic](https://discuss.tvm.ai/t/rfc-coreml-runtime/6309/4) to respond.
You are receiving this because you enabled mailing list mode.
To unsubscribe fro
@FrozenGene Sorry, my description is ambiguous. You can compile a CoreML
model with the following command:
$(xcode-select -p)/usr/bin/coremlc compile [model.mlmodel] [outputFolder]
or
xcrun coremlcompiler compile [model.mlmodel] [outputFolder]
I tried Xcode 11.4 and 10.3, and I cou
I think leveraging Appleās Neural Engine is one good motivation (we could add
one example how to leverage this). As we have TFLite's runtime, I think add
CoreML runtime is reasonable.
[quote="kazum, post:1, topic:6309"]
Instead, we compile a CoreML model with the xcode `coremlc` command.
[/qu
In this RFC, we would like to propose adding a runtime to load and execute
CoreML models from TVM.
## Motivation
- Currently, using CoreML is a defacto standard approach to run inference on
iOS. This runtime is
useful to obtain a baseline benchmark and compare it with TVM.
- Using CoreML