Release v1.3

New hardware backend support

• Support NV GPU by CUDA and cuDNN
• Support NV GPU by TensorRT Plugin
• Support VeriSilicon NPU by TIM-VX Plugin

New Training Framework‘s model support

• The tengine-convert-tool try to support the model of OneFlow

Fix error

• Refactor the code of ACL Plugin to fix the bug of compile or inference on Mali GPU

CI/CD

• Add code coverage mode in CI action
• Add model test in CI action, such as classification, detection, recognition and segmentation

P.S.

• NV GPU we have tested with the following devices
  • GeForce RTX 3090
  • GeForce GTX 1080Ti
  • QUADRO RTX 8000
  • Jetson AGX/NX/NANO
• VeriSilicon NPU we have tested with the following devices
  • Khadas VIM3