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我正依据Rockchip_User_Guide_RKNN_Toolkit2手册第40页中的说明排查模型转换时的精度损失问题,如说明中,我以 rknn = RKNN(verbose='Debug') 创建了rknn对象,执行脚本后,获得了check*.pkl与check*.onnx一系列文件,请问文件中所说的 “check results” 在哪个文件中?如何查看?

I am running rknn toolkit for building a model.rknn for running on RK3566. After rknn.load_onnx() successfully, when run rknn.build(), the following error message occur: --> Loading model: ./rknn_models/model_3566.onnx done -->...

torch.sqrt() tooklit2 1.3 do not support

W __init__: rknn-toolkit2 version: 1.3.0-11912b58 W config: 'target_platform' is None, use rk3566 as default, Please set according to the actual platform! --> Loading model W load_onnx: Model converted from tf2onnx,...

python test.py W __init__: rknn-toolkit2 version: 1.3.4b4-ad9ac429 --> Config model done --> Loading model done --> Building model I base_optimize ... I base_optimize done. I I fold_constant ... W build:...

您好,我有一个操作很简单的分类模型,它使用pytorch-qat(torch版本为1.7.1)进行训练,训练时没有fuse_bn,训练完之后的模型使用rknn-toolkit1可以正常转为rknn,但是使用rknn-toolkit2时发生了如下报错: ![Screenshot from 2022-07-04 15-57-06](https://user-images.githubusercontent.com/52944151/177108995-43a7cfc5-fc79-4279-98b0-819f9e7d4704.png) 从报错中我无法定位问题在哪里,转换过程中使用的模型结构为 ![Screenshot from 2022-07-05 11-30-25](https://user-images.githubusercontent.com/52944151/177244041-fe0d097c-91d8-4641-bc80-8a82fd12454b.png) 转换代码如下: import numpy as np import cv2 from rknn.api import RKNN import torchvision.models as models import torch import os if...

Would it be possible to get opset 13 support? Thanks!