Renesas RZ/G AI BSP v4.1.0
Main features of this release:
- Upgrade ArmNN SDK and Arm Compute Library to v21.02
- Add support and sample application for ArmNN TfLite Delegate
- Add support in armnnBenchmark sample application for ArmNN 'fp16-turbo' and 'fast-math' modes
- Add ability to set the compute backend in the armnnBenchmark sample application
- Upgrade base Renesas RZ/G1 BSP to tag certified-linux-v2.1.8
- Upgrade base Renesas RZ/G2 BSP to tag BSP-1.0.7
- Changed the configuration schema in meta-benchmarks. Sample configuration templates are now provided per platform for two builds:
- armnn+coral+tf+tfl
- caffe2+onnx+opencv+pytorch
- Other improvements and minor fixes
Supported AI tools:
- Arm Neural Network SDK v21.02
- Caffe2 v0.8.1
- Google Coral USB TPU (frogfish)
- ONNX Runtime v1.1.2
- OpenCV v4.1.1
- PyTorch v1.5.1
- TensorFlow v2.3.1
- TensorFlow Lite v2.3.1
Supported Platforms:
- Renesas RZ/G2H hihope-rzg2h
- Renesas RZ/G2M hihope-rzg2m
- Renesas RZ/G2N hihope-rzg2n
- Renesas RZ/G2E ek874
- Renesas RZ/G1H iwg21m
- Renesas RZ/G1M iwg20m-g1m
- Renesas RZ/G1E iwg22m
For RZ/G1 platforms use meta-renesas tag certified-linux-v2.1.8.
For RZ/G2 platforms use meta-rzg2 tag BSP-1.0.7.