prismspecs
``` def get_sample_image(G, n_noise): """ save sample 100 images """ z = torch.randn(10, n_noise).to(DEVICE) y_hat = G(z).view(10, 3, 28, 28).permute(0, 2, 3, 1) # (100, 28, 28) result = (y_hat.detach().cpu().numpy()+1)/2. return result ``` What is the deal with the 10? I understand the 100 is random noise as an input, but what about the 10? Thank you so much for your repo btw, very helpful to me.