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This repository has been archived by the owner on Mar 30, 2022. It is now read-only.
When installing the S4TF toolchain, it's not always clear whether all components are intact and versions are compatible. It would be helpful to have a quick verification tool that uses the toolchain and reports success.
This is especially useful for installations involving accelerators, so the first two features could be:
Can invoke the toolchain and import TensorFlow
Can run on an attached accelerator (Device.defaultXLA is Device(kind: .GPU, ordinal: 0, backend: .XLA))
This could be a very basic Swift tool that automates the steps we've been taking manually.
The text was updated successfully, but these errors were encountered:
@texasmichelle I might be interested to take a look at this sometime in a week or two, I am gauging whether or not this project is going to be killed by google or not, before investing my time into it haha. But from what your saying seems like it is still alive and kicking.
@texasmichelle Reducing any friction, especially during the setup process, would definitely help new and existing users. First experience with a new platform matters. (Nice to haves: can verify/describe/list components, check the health, offer to upgrade/reinstall bits, if necessary).
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When installing the S4TF toolchain, it's not always clear whether all components are intact and versions are compatible. It would be helpful to have a quick verification tool that uses the toolchain and reports success.
This is especially useful for installations involving accelerators, so the first two features could be:
Device.defaultXLA
isDevice(kind: .GPU, ordinal: 0, backend: .XLA)
)This could be a very basic Swift tool that automates the steps we've been taking manually.
The text was updated successfully, but these errors were encountered: