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I'm trying to deploy mask-rcnn on the jetson by using model trained on the custom data.
Model exhibits satisfactory behavior and it is trained with the pytorch 1.12 version, and when I check predictions on PC I've used to train it.
I'm trying to deploy it on a jetson that has pytorch 1.13. After the conversion, model doesn't predict at all.
Conversion of the exemplary model (retinanet18) works
Can I use different pytorch versions for training/deployment?
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Hi,
I'm trying to deploy
mask-rcnn
on the jetson by using model trained on the custom data.Model exhibits satisfactory behavior and it is trained with the pytorch
1.12
version, and when I check predictions on PC I've used to train it.I'm trying to deploy it on a jetson that has pytorch
1.13
. After the conversion, model doesn't predict at all.Conversion of the exemplary model (retinanet18) works
Can I use different pytorch versions for training/deployment?
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