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So I tried running your code on CIFAR-10 with a pre-trained ResNet50 model. I've attached the code below.
My accuracy however does not come nearly as close to the float model which is around 93% but after quanitzation: I get:
Accuracy of the network on the 10000 test images: 10.0 % top5: 52.28 %
Please help me with this. The code is inside the zip file.
So I tried running your code on CIFAR-10 with a pre-trained ResNet50 model. I've attached the code below. My accuracy however does not come nearly as close to the float model which is around 93% but after quanitzation: I get:
Accuracy of the network on the 10000 test images: 10.0 % top5: 52.28 %
Please help me with this. The code is inside the zip file.
I encountered the same issue when using my pretrained model resnet18 on CIFAR-10 for experiments. The accuracy is only about ten percent. Have you resolved this?
Hi,
So I tried running your code on CIFAR-10 with a pre-trained ResNet50 model. I've attached the code below.
My accuracy however does not come nearly as close to the float model which is around 93% but after quanitzation: I get:
Please help me with this. The code is inside the zip file.
main_cifar.zip
s
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