X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=tasks.py;h=04b8f84577097a7ef3de515fa90f6a461429e7e5;hb=3d6738c9406c70bd3593b49c596bcf451bc2b946;hp=b277b96683a211cf07ea4a642a8f22c8ff6e1972;hpb=9c974541bec4b1aa67bb39bfff4ef128c36ae3d9;p=picoclvr.git

diff --git a/tasks.py b/tasks.py
index b277b96..04b8f84 100755
--- a/tasks.py
+++ b/tasks.py
@@ -809,9 +809,8 @@ class Expr(Task):
             nb_train_samples,
             nb_variables=nb_variables,
             length=sequence_length,
-            # length=2 * sequence_length,
-            # randomize_length=True,
         )
+
         test_sequences = expr.generate_sequences(
             nb_test_samples,
             nb_variables=nb_variables,
@@ -911,7 +910,7 @@ class Expr(Task):
                 test_nb_correct,
                 test_nb_delta,
                 test_nb_missed,
-            ) = compute_nb_correct(self.test_input[:1000])
+            ) = compute_nb_correct(self.test_input[:10000])
 
             logger(
                 f"accuracy_test {n_epoch} nb_total {test_nb_total} nb_correct {test_nb_correct} accuracy {(100.0*test_nb_correct)/test_nb_total:.02f}%"
@@ -937,11 +936,12 @@ class Expr(Task):
                     input = self.tensorize(sequences)
 
             result = input.clone()
-            ar_mask = (result == self.space).long().cumsum(dim=1).clamp(max=1)
+            s = (result == self.space).long()
+            ar_mask = (s.cumsum(dim=1) - s).clamp(min=0, max=1)
             result = (1 - ar_mask) * result + ar_mask * self.filler
 
-            # for n in range(result.size(0)):
-            # logger(f"test_before {self.seq2str(result[n])}")
+            for n in range(result.size(0)):
+                logger(f"test_before {self.seq2str(result[n])}")
 
             masked_inplace_autoregression(
                 model,