For example, in Figure 5 (b), you plot the D's accuracy on T(x), T(G(z)), and G(z), I wonder how this metric was calculated. After each update of discriminator or after each update of discriminator and generator?
The accuracy is computed periodically, not at every iteration. By the way, I believe that the two ways you mentioned do not make much difference. You can refer to train_fns.py for details.
For example, in Figure 5 (b), you plot the D's accuracy on T(x), T(G(z)), and G(z), I wonder how this metric was calculated. After each update of discriminator or after each update of discriminator and generator?