X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=tasks.py;h=af71b85ed7de9d0639b5fc4e95351693608be030;hb=b59fca62aa31de18a3e0cd0bb54e395d4b1254ae;hp=ca71182345e40b1123a9a32703a4d34b10066280;hpb=27dd45177a8552a8b8c9e3a4d9388844fa1d4d27;p=picoclvr.git

diff --git a/tasks.py b/tasks.py
index ca71182..af71b85 100755
--- a/tasks.py
+++ b/tasks.py
@@ -1111,6 +1111,7 @@ class RPL(Task):
         self.test_input = self.tensorize(test_sequences)
 
         if no_prog:
+            # Excise the program from every train and test example
             k = torch.arange(self.train_input.size(1), device=self.train_input.device)[
                 None, :
             ]
@@ -1185,13 +1186,13 @@ class RPL(Task):
             )
 
             sum_nb_total, sum_nb_errors = 0, 0
-            for x, y in zip(input, result):
-                seq = [self.id2token[i.item()] for i in y]
+            for one_input, one_result in zip(input, result):
+                seq = [self.id2token[i.item()] for i in one_result]
                 nb_total, nb_errors, prog, stacks = rpl.compute_nb_errors(seq)
                 sum_nb_total += 1
                 sum_nb_errors += 0 if nb_errors == 0 else 1
                 if nb_to_log > 0:
-                    gt_seq = [self.id2token[i.item()] for i in x]
+                    gt_seq = [self.id2token[i.item()] for i in one_input]
                     _, _, gt_prog, _ = rpl.compute_nb_errors(gt_seq)
                     gt_prog = " ".join([str(x) for x in gt_prog])
                     prog = " ".join([str(x) for x in prog])
@@ -1232,14 +1233,20 @@ class RPL(Task):
             )
 
             sum_nb_total, sum_nb_errors = 0, 0
-            for x, y, i, j in zip(input, result, last_output_idx, first_prog_idx):
-                seq = [self.id2token[i.item()] for i in y]
+            for one_input, one_result, i, j in zip(
+                input, result, last_output_idx, first_prog_idx
+            ):
+                seq = [self.id2token[i.item()] for i in one_result]
                 sum_nb_total += 1
-                correct = (x - y).abs().max() == 0
+                correct = (one_input - one_result).abs().max() == 0
                 sum_nb_errors += 0 if correct else 1
                 if nb_to_log > 0:
-                    result_stack = [self.id2token[i.item()] for i in y[i : j + 1]]
-                    target_stack = [self.id2token[i.item()] for i in x[i : j + 1]]
+                    result_stack = [
+                        self.id2token[i.item()] for i in one_result[i : j + 1]
+                    ]
+                    target_stack = [
+                        self.id2token[i.item()] for i in one_input[i : j + 1]
+                    ]
                     comment = "*" if correct else "-"
                     result_stack = " ".join([str(x) for x in result_stack])
                     target_stack = " ".join([str(x) for x in target_stack])