Resnet101 performs differently at different batch_size
I use resnet pretrained model to fine tune my own dataset. Everthing seems ok but I found that at the testing phase, the result is different due to different batch_size setting of test_loader. I change the pretrained model to alexnet, everthing goes well and the result is consistent. Why?
Rigel_Hsu
fmassa
Sorry, I forgot it. Thanks for your help, it fixes my problem.
Rigel_Hsu