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