Pretrained model: SG, GS messed up?

[mishast]

Strange.
I have similar images 's1.jpg', 's2.jpg'

Case 1:

model_state_file = 'sop_uncropped_resnet50_SG_1536_0.1_0.5_0.1_128_model.pth'
gd_config = 'SG'
num_classes = 11318
state_dict = torch.load(model_state_file, map_location=torch.device('cpu'))
net = Model('resnet50', gd_config, 1536, num_classes)
net.load_state_dict(state_dict)
net.eval()

Loss (Equlidean) = 0.48

Case 2:
I change gd_config to 'GS'

model_state_file = 'sop_uncropped_resnet50_SG_1536_0.1_0.5_0.1_128_model.pth'
gd_config = 'GS'
num_classes = 11318
state_dict = torch.load(model_state_file, map_location=torch.device('cpu'))
net = Model('resnet50', gd_config, 1536, num_classes)
net.load_state_dict(state_dict)
net.eval()

Loss (Equlidean) = 0.14

For other products - the same.