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I also meet this.
In pytorch, i add "torch.backends.cudnn.enabled = False" to fix, but i don't konw how to make it out in libtorch.
what should i set in cmakelist or code?
my env is 1660super torch 1.12.0+cu116 cuda11.6 cudnn 8.6
hello! thank you for your repository
I try image detector at GeForce RTX 3060, cuda 11.1 ->>>> result is good
However...
GeForce GTX 1660 SUPER, cuda 11.1 or 11.8 --- no detect , no errors.... but in pythorch(cu113) result is good...
and I debuging source code
In Geforce RTX 3060
det.sizes().size() is 2
det.size(0) is 157
det.size(1) is 20
But GeForce GTX 1660 SUPER
det.sizes().size() is 2
det.size(0) is 0
det.size(1) is 20
why "det.size(0) is 0" in "GTX 1660 SUPER" ??????
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