"runs/"+ "May22_07-17-10_cs231n-1xception-bs-32-lr0.5-mom0.5-wd1e-5-cutout4-minscale0.4-rota15" + "/model_best.pth.tar", # 0.6491, PW1! "runs/" + "May23_21-11-42_cs231n-1se_resnext50_32x4d-bs-64-clr0.06-0.006-mom0.9-wd1e-5-cutout4-minscale0.4-rota15-cas" + "...
sum(axis=1, keepdims=True) model.set_state_dict(state_dict) def se_resnext50_32x4d(pretrained=False, num_classes=1000, input_dim=3): model = SENet(SEResNeXtBottleneck, [3, 4, 6, 3], input_dim=input_dim, groups=32, reduction=16, dropout_p=None, in_channels=64, input_3x3=False,...