diff --git a/tests/utility/test_tensor_dict_utilities.py b/tests/utility/test_tensor_dict_utilities.py
index 344cf3a8..dfd033c0 100644
--- a/tests/utility/test_tensor_dict_utilities.py
+++ b/tests/utility/test_tensor_dict_utilities.py
@@ -206,6 +206,20 @@ def test_dataproto_pad_unpad():
     assert (unpadd_data.non_tensor_batch['labels'] == labels).all()
     assert unpadd_data.meta_info == {'info': 'test_info'}
 
+    padded_data, pad_size = pad_dataproto_to_divisor(data, size_divisor=7)
+    assert pad_size == 4
+
+    expected_obs = torch.tensor([[1, 2], [3, 4], [5, 6], [1, 2], [3, 4], [5, 6], [1, 2]])
+    expected_labels = ['a', 'b', 'c', 'a', 'b', 'c', 'a']
+    assert torch.all(torch.eq(padded_data.batch['obs'], expected_obs))
+    assert (padded_data.non_tensor_batch['labels'] == expected_labels).all()
+    assert padded_data.meta_info == {'info': 'test_info'}
+
+    unpadd_data = unpad_dataproto(padded_data, pad_size=pad_size)
+    assert torch.all(torch.eq(unpadd_data.batch['obs'], obs))
+    assert (unpadd_data.non_tensor_batch['labels'] == labels).all()
+    assert unpadd_data.meta_info == {'info': 'test_info'}
+
 
 def test_dataproto_fold_unfold():
     from verl.protocol import fold_batch_dim, unfold_batch_dim, DataProto
diff --git a/verl/protocol.py b/verl/protocol.py
index 80626242..7f434465 100644
--- a/verl/protocol.py
+++ b/verl/protocol.py
@@ -51,7 +51,13 @@ def pad_dataproto_to_divisor(data: 'DataProto', size_divisor: int):
     assert isinstance(data, DataProto), 'data must be a DataProto'
     if len(data) % size_divisor != 0:
         pad_size = size_divisor - len(data) % size_divisor
-        data_padded = DataProto.concat([data, data[:pad_size]])
+        padding_protos = []
+        remaining_pad = pad_size
+        while remaining_pad > 0:
+            take_size = min(remaining_pad, len(data))
+            padding_protos.append(data[:take_size])
+            remaining_pad -= take_size
+        data_padded = DataProto.concat([data] + padding_protos)
     else:
         pad_size = 0
         data_padded = data