Release v1.4
New hardware backend support
- Support RISC-V CPU for C906/C910
- Support NV/AMD/Mali GPU by OpenCL
New Training Framework‘s model support
- The tengine-convert-tool now supports PaddlePaddle 2.0 format models and will continue the work per users' requests. (please leave your requests on our Github issues)
Fix error
- Refactor the code of register module
- Refactor the code of compile module to support Visual Studio
CI/CD
- Add code quality module in CI action
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
- A311D
- S905D3
- i.MX 8M Plus
- JA310