Question about the params and FLOPs of ENet about pytorch-enet HOT 2 OPEN

I just used THOP to confirm the number of parameters and GFLOPS for the same input size that's given in table 3 from the paper (3 x 640 x 360):

from models.enet import ENet
from thop import profile

model = ENet(12).to('cpu')
input = torch.randn(1, 3, 640, 360)
flops, num_parameters = profile(model, (input,), verbose=False)

I got 2.2 GFLOPS and 0.35Milion parameters. There's very little difference in the number of parameters but a significant difference in the number of FLOPS that I could look into.

How did you find your calculated values?

from pytorch-enet.

For 3x224x224 input:
Computational complexity: 0.48 GMac
Number of parameters: 350.65 k

For 3x640x360 input:
Computational complexity: 2.2 GMac
Number of parameters: 350.65 k

This profiling was done using ptflops.

from pytorch-enet.