v2.0.0-beta0: Update RK3562/RK3566/RK3568/RK3576/RK3588/RV1103/RV1106 NPU SDK to V2…

• Support RK3576 (Beta)
• Support RK2118 (Beta)
• Support SDPA (Scaled Dot Product Attention) to improve transformer performance
• Improve custom operators support
• Improve MatMul API
• Improve support for Reshape,Transpose,BatchLayernorm,Softmax,Deconv,Matmul,ScatterND etc.
• Support pytorch 2.1
• Improve support for QAT models of pytorch and onnx
• Optimize automatic generation of C++ code

v1.6.0

• Support ONNX model of OPSET 12~19
• Support custom operators (including CPU and GPU)
• Improve support for dynamic weight convolution, Layernorm, RoiAlign, Softmax, ReduceL2, Gelu, GLU, etc.
• Added support for python3.7/3.9/3.11
• Add rknn_convert function
• Improve transformer support
• Improve the MatMul API, such as increasing the K limit length, RK3588 adding int4 * int4 -> int16 support, etc.
• Reduce 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.
• Improve 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

Update rknn-toolkit2/rknn-toolkit-lite2 to 1.5.2

v1.5.0

Update rknn-toolkit2/rknn-toolkit-lite2 to 1.5.0

Signed-off-by: Randall Zhuo <randall.zhuo@rock-chips.com>

v1.4.0: update rknn-toolkit2/rknn-toolkit-lite2 to 1.4.0

Signed-off-by: raul.rao <raul.rao@rock-chips.com>