snn output doesn't match the detection head

[DuanDexin]

I use 'yolov3-tiny-mp2conv-mp1none-lk2relu-up2tconv' configuration to train a normal ANN model and reached a roughly 39% mAP in coco dataset, then I run 'ann_to_snn.py' script and have a transferred SNN and I got a huge .pth snn model file. Everything seems fine till now.
But when I run the 'snn_evaluate' function in 'ann_to_snn.py' script, in output_snn1, output_snn2 = snn(data) # two branches, it goes wrong. I found that the snn(data) is a 19 elements tuble and I don't know how to let these 19 output match the output_snn1 and outpu_snn2. Can you help me?
Yours faithfully

[123456ZF]

@DuanDexin It may be that the 30 series graphics card does not support ann_to_snn.py, so there will be an error, and I am experiencing the same problem.

[123456ZF]

@DuanDexin My friend ran successfully with 1650, 2060

[Bender-L]

You can try pytorch1.4 with python 3.7

[123456ZF]

@Bender-L Hello, how can I use the converted weights file of ann-snn for object detection, can it be used for detection?