Releases: rockchip-linux/rknn-toolkit2
Releases · rockchip-linux/rknn-toolkit2
v1.6.0
- Support ONNX model of OPSET 12~19
- Support custom operators (including CPU and GPU)
- Optimization operators support such as dynamic weighted convolution, Layernorm, RoiAlign, Softmax, ReduceL2, Gelu, GLU, etc.
- Added support for python3.7/3.9/3.11
- Add rknn_convert function
- Optimize transformer support
- Optimize the MatMul API, such as increasing the K limit length, RK3588 adding int4 * int4 -> int16 support, etc.
- Optimize RV1106 rknn_init initialization time, memory consumption, etc.
- RV1106 adds int16 support for some operators
- Fixed the problem that the convolution operator of RV1106 platform may make random errors in some cases.
- Optimize user manual
- Reconstruct the rknn model zoo and add support for multiple models such as detection, segmentation, OCR, and license plate recognition.
v1.5.2
- Improve transformer support
- Improve dynamic shape support
- Remove the target_platform default parameter of rknn.config
- Improve operator support such as GRU/LSTM/softmax/maxpool
- Improve large resolution model support
- Improve LLM support
- Improve multi-batch support