rknn-toolkit2
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How can we add new OPs if our model uses OPs not supported by RKNN?
debian
debian系统可以跑吗
Hi, could you please help me with the following error: I'm trying to convert Inception Resnet V1 model (https://github.com/timesler/facenet-pytorch) to RKNN format following this example https://github.com/rockchip-linux/rknn-toolkit2/tree/master/examples/onnx/yolov5. The model is already...
再往3588移植过程中,报错Fatal: Meet unsupported operator: InstanceNormalization(name="InstanceNormalization_211").,,同时往3568移植过程中没问题 模型为modnet
m1 pro安装docker镜像后,在docker内跑测试test.py均出现如下报错: --> Init runtime environment qemu: uncaught target signal 4 (Illegal instruction) - core dumped
root@localhost:/rknn-toolkit2-master/rknn-toolkit-lite2-v1.2.0/examples/inference_with_lite# python3.7 test.py --> Load RKNN model done --> Init runtime environment E Catch exception when init runtime! E Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/rknnlite/api/rknn_lite.py", line 141, in init_runtime...
报错内容提示:failed to open rknpu module,need to insmod rknpu dirver failed to open rknn device 但是在官网更新了最新的3588J的驱动之后,还是会报这个错误,所使用的模型为这个仓库转出来的模型,所使用的demo是这个仓库里面的demo https://github.com/rockchip-linux/rknpu2 所使用的固件是这个网站上的ubuntu固件 https://www.t-firefly.com/doc/download/161.html
RK3568 使用rknn-toolkit2 运行Retinaface, PC 模拟结果正常。但是如果init_runtime中设置npu运行,运行结果错误,和 PC 模拟结果不一致
Is there anything wrong about my driver version? 