prepare for the branch

learnToLearnTest.py

@@ -66,6 +66,7 @@ def test(embedding,head, total_dataset, batch_size, num_epoch,adaptation_step=co
         predictions = predictions.view(-1)
         y_true = query_ys.cpu().detach().numpy()
         y_pred = predictions.cpu().detach().numpy()
+
         # ndcgs1.append(float(mz.metrics.NormalizedDiscountedCumulativeGain(k=1)(y_true, y_pred)))
         # ndcgs3.append(float(mz.metrics.NormalizedDiscountedCumulativeGain(k=3)(y_true, y_pred)))