v0.49.1
General Updates
- Added quantized variants for DETR-ResNet50, DETR-ResNet50-DC5, DETR-ResNet101, and DETR-ResNet101-DC5
Removed BiseNet and BGNet due to licensing concerns - Llama 3.2 3B Instruct SSD variant uses Self Speculative Decoding (SSD), inference acceleration solution that achieves on-target speed up with guaranteed output accuracy identical to the base model. Choose this variant over llama_v3_2_3b_instruct for faster token generation on supported devices.
- Updated performance & accuracy data from latest version of AI Hub Workbench
Bug Fixes
- Fixed batchnorm unfolding issue in MediaPipe Hand Gesture, enabling the model to be fully NPU-resident when quantized with TFLite
- Fixed non-determinism in loading the BSD300 dataset. This previously caused us to report incorrect accuracy data for several super resolution models.
- MeloTTS has been updated to work around an HTP issue with summation that produced incorrect shapes at runtime. This update is available only via the export script and is not yet available with pre-generated assets.