Cant convert custom onnx model to rknn
Posted: 2025-04-17 8:22
Hi, i'm try to convert my custom model to rknn for RV1106. But I got this error. How to fix it ?
Code: Select all
I rknn-toolkit2 version: 2.3.0
--> Config model
done
--> Loading model
I Loading : 100%|██████████████████████████████████████████████| 120/120 [00:00<00:00, 42897.51it/s]
done
--> Building model
I OpFusing 0: 100%|██████████████████████████████████████████████| 100/100 [00:00<00:00, 531.79it/s]
I OpFusing 1 : 100%|█████████████████████████████████████████████| 100/100 [00:00<00:00, 277.26it/s]
I OpFusing 0 : 100%|█████████████████████████████████████████████| 100/100 [00:00<00:00, 177.67it/s]
I OpFusing 1 : 100%|█████████████████████████████████████████████| 100/100 [00:00<00:00, 169.86it/s]
I OpFusing 2 : 100%|█████████████████████████████████████████████| 100/100 [00:00<00:00, 108.21it/s]
W build: found outlier value, this may affect quantization accuracy
const name abs_mean abs_std outlier value
model.0.conv.weight 0.69 0.87 -11.014
I GraphPreparing : 100%|███████████████████████████████████████| 179/179 [00:00<00:00, 10823.93it/s]
I Quantizating : 100%|████████████████████████████████████████████| 179/179 [00:05<00:00, 35.22it/s]
W build: The default input dtype of 'images' is changed from 'float32' to 'int8' in rknn model for performance!
Please take care of this change when deploy rknn model with Runtime API!
W build: The default output dtype of 'output0' is changed from 'float32' to 'int8' in rknn model for performance!
Please take care of this change when deploy rknn model with Runtime API!
I rknn building ...
E RKNN: [08:18:22.083] Squeezed bytes overflow!
Aborted (core dumped)