fixed reddit debug

eval/run_xtimes_reddit_rw.sh

@@ -43,7 +43,7 @@ procs_per_machine=16
 machines=6
 global_epochs=80
 eval_file=testing.py
-log_level=INFO
+log_level=DEBUG
 
 ip_machines=$nfs_home/configs/ip_addr_6Machines.json
 

src/decentralizepy/datasets/Reddit.py

@@ -484,7 +484,7 @@ class Reddit(Dataset):
                 count += 1
                 _, predictions = torch.max(outputs, 1)
                 for label, prediction in zip(labels, predictions):
-                    logging.debug("{} predicted as {}".format(label, prediction))
+                    # logging.debug("{} predicted as {}".format(label, prediction))
                     if label == prediction:
                         correct_pred[label] += 1
                         total_correct += 1
@@ -498,7 +498,7 @@ class Reddit(Dataset):
                 accuracy = 100 * float(value) / total_pred[key]
             else:
                 accuracy = 100.0
-            logging.debug("Accuracy for class {} is: {:.1f} %".format(key, accuracy))
+            # logging.debug("Accuracy for class {} is: {:.1f} %".format(key, accuracy))
 
         accuracy = 100 * float(total_correct) / total_predicted
         loss_val = loss_val / count