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In the function count_flop.py, when calculating kernel_ops and weight_ops for convolution and linear layers: why do you need to multiply them by 2, if multiply_adds=True? Shouldn't that be the other way around, 1 MAC = 2 FLOPs roughly?
The text was updated successfully, but these errors were encountered:
In the function count_flop.py, when calculating kernel_ops and weight_ops for convolution and linear layers: why do you need to multiply them by 2, if multiply_adds=True? Shouldn't that be the other way around, 1 MAC = 2 FLOPs roughly?
The text was updated successfully, but these errors were encountered: