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Releases: rockchip-linux/rknn-toolkit2

v1.6.0

15 Dec 03:14
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  • 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

28 Aug 06:44
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  • 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