Change log:
- Upgraded all platforms to use the RZ/G BSP tag BSP-3.0.6-update2
- Upgraded TensorFlow Lite version to v2.15.1
- Upgraded ArmNN version to v24.05
- Upgraded Arm Compute library version to v24.06
- Improved the armnn-benchmark application so that it runs benchmarks on models specified in a configuration file instead of a hard-coded list in the application
- Enabled FP16 turbo mode by default when benchmarking with the tfLiteDelegateBenchmark application for Arm Cortex-A55 devices
- Various CI improvements
- Various code improvements and bug fixes
Supported AI tools:
- Arm Neural Network SDK v24.05 / Arm Compute Library v24.06
- ONNX Runtime v1.8.0
- TensorFlow Lite v2.15.1
Supported Platforms:
- Renesas RZ/G2H hihope-rzg2h
- Renesas RZ/G2M hihope-rzg2m
- Renesas RZ/G2N hihope-rzg2n
- Renesas RZ/G2E ek874
- Renesas RZ/G2L smarc-rzg2l
- Renesas RZ/G2LC smarc-rzg2lc
- Renesas RZ/G2UL smarc-rzg2ul
- Renesas RZ/V2L smarc-rzv2l
For all platforms use meta-renesas tag BSP-3.0.6-update2.