remove optimizer from test()

train_tcga.py

@@ -62,7 +62,7 @@ def dropout_patches(feats, p):
     sampled_feats = np.concatenate((sampled_feats, pad_feats), axis=0)
     return sampled_feats
 
-def test(test_df, milnet, criterion, optimizer, args):
+def test(test_df, milnet, criterion, args):
     milnet.eval()
     csvs = shuffle(test_df).reset_index(drop=True)
     total_loss = 0
@@ -188,7 +188,7 @@ def main():
         train_path = shuffle(train_path).reset_index(drop=True)
         test_path = shuffle(test_path).reset_index(drop=True)
         train_loss_bag = train(train_path, milnet, criterion, optimizer, args) # iterate all bags
-        test_loss_bag, avg_score, aucs, thresholds_optimal = test(test_path, milnet, criterion, optimizer, args)
+        test_loss_bag, avg_score, aucs, thresholds_optimal = test(test_path, milnet, criterion, args)
         if args.dataset.startswith('TCGA-lung'):
             print('\r Epoch [%d/%d] train loss: %.4f test loss: %.4f, average score: %.4f, auc_LUAD: %.4f, auc_LUSC: %.4f' % 
                   (epoch, args.num_epochs, train_loss_bag, test_loss_bag, avg_score, aucs[0], aucs[1]))