bug fix

backend/disentangle_concepts.py

@@ -91,7 +91,7 @@ def regenerate_images(model, z, decision_boundary, min_epsilon=-3, max_epsilon=3
             W = z.expand((14, -1)).unsqueeze(0)
         
         if layers:
-            W_f = W.copy()
+            W_f = torch.empty_like(W).copy_(W)
             W_f[layers] = W_0[layers]
             img = G.synthesis(W_f, noise_mode='const')
         else: