Update.

diff --git a/main.py b/main.py
index 464b217..a357687 100755 (executable)
--- a/main.py
+++ b/main.py
@@ -483,6 +483,10 @@ def prioritized_rand(low):
 def ae_generate(model, nb, local_device=main_device):
     model.eval().to(local_device)
 
+    # We loop through the iterations first and through the
+    # mini-batches second so that we keep only the samples that have
+    # not stabilized
+
     all_input = quiz_machine.pure_noise(nb, local_device)
     all_masks = all_input.new_full(all_input.size(), 1)
     all_changed = torch.full((all_input.size(0),), True, device=all_input.device)