Comments (4)
Hi, we use ptflops to calculate FLOPs.
from focalnet.
Hi, we use ptflops to calculate FLOPs.
Thanks! But when I use ptflops.get_model_complexity_info(model, (3, 256, 256), as_strings=True, print_per_layer_stat=True), the FLOPs is 30.67GMac. Excuse me, did you overlook some of the modules?
from focalnet.
flops, _ = get_model_complexity_info(model, (3,256,256), as_strings=True, print_per_layer_stat=True, verbose=True)
print('{:<30} {:<8}'.format('Computational complexity: ', flops))
Hi, we just directly use the reported FLOPs of ptflops.
Can you obtain the same value as ours by using the above snipped?
from focalnet.
flops, _ = get_model_complexity_info(model, (3,256,256), as_strings=True, print_per_layer_stat=True, verbose=True) print('{:<30} {:<8}'.format('Computational complexity: ', flops))
Hi, we just directly use the reported FLOPs of ptflops. Can you obtain the same value as ours by using the above snipped?
The FLOPs is still 30.67GMac. Maybe it's because I use the latest version (0.7.2.1) of ptflops.
from focalnet.
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