Release Notes

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.

• 64-bit ONNX Support: Users can now use 64-bit integer (int64) inputs in ONNX models.

Bug Fixes

• Under certain conditions, running infer.py twice would throw an error on the second run. This issue has been fixed.

• Replaced a missing __version__ attribute in the PyLRE package.

October 23, 2024 - LEIP Deploy 1.0

Updates and Enhancements

• Runtime Framework is now LEIP Deploy.

• Model Encryption: Extends model encryption to support ONNX formats.

• New APIs: Added for retrieving model UUIDs and simplifying decryption of models at runtime, along with extending the capabilities for measuring model performance.