not an issue: what is the function of the 10 in get_sample_image(G, n_noise) #2
Description
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.