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TensorFlow Lite Support #308
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I wrote some code to support minimal inferencing. But I have no time to push it forward recently. To use this crate, you may need to build tensorflow-lite manually, then specify how to link and where the libraries are located by environment variables. So you can build your projects quickly without internet or installation. Since the safety requirements are unclear, I can not verify the soundness of this crate. |
This is more of a general comment and not directed specifically at you, but an important part of having support for TensorFlow Lite would be that downstream users don't need to worry about manually building Most well designed C APIs are easy to write safe bindings for - the hard part is reliably (cross-)compiling and linking. |
+1 This is quite helpful! (I need to run a deep learning model on android and ios with Rust, so tflite instead of tf itself is required) |
+1 :) |
- low-level: full logical types support in Parquet Thrift schema - class serializer supports custom attributes to customize serialisation of dates, times, and decimals. - added support for .NET 6 DateOnly type.
Are bindings to TensorFlow Lite on the roadmap for this project?
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