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Renesas RZ/G AI BSP v4.1.0

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@patersonc patersonc released this 11 May 12:57
· 286 commits to master since this release

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.