Release Notes
May 15, 2025 - LEIP Deploy 1.2
Updates and Enhancements
- Jetpack 6.0 Support: LEIP Deploy now supports NVIDIA Jetson devices with Jetpack 6.0
May 02, 2025 - LEIP Deploy 1.1
Updates and Enhancements
- Android Support: LEIP Deploy now supports Android with the introduction of the Android LRE. Android developers can integrate the Latent Runtime Engine into their applications and run optimized models directly on device. Consult the Android LRE API reference and Android LRE example application for more information.
January 31, 2025 - LEIP Deploy 1.0.1
Updates and Enhancements
-
TVM and ONNX Options at runtime: Users can access classes that provide configuration options for TVM and ONNX models. Included in these options is the ability to change model precision at runtime, depending on the precision at compilation.
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64-bit ONNX Support: Users can now use 64-bit integer (
int64) inputs in ONNX models.
Bug Fixes
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Under certain conditions, running
infer.pytwice would throw an error on the second run. This issue has been fixed. -
Replaced a missing
__version__attribute in thePyLREpackage.
October 23, 2024 - LEIP Deploy 1.0
Updates and Enhancements
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Runtime Framework is now LEIP Deploy.
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Model Encryption: Extends model encryption to support ONNX formats.
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New APIs: Added for retrieving model UUIDs and simplifying decryption of models at runtime, along with extending the capabilities for measuring model performance.