diff --git a/tests/models/test_rope_dail_vs_hf.py b/tests/models/test_rope_dail_vs_hf.py
index 70a00470f9..33c3d3c052 100644
--- a/tests/models/test_rope_dail_vs_hf.py
+++ b/tests/models/test_rope_dail_vs_hf.py
@@ -7,7 +7,8 @@
 from omegaconf import OmegaConf as om
 
 from llmfoundry.models.layers.attention import is_flash_v2_installed
-from llmfoundry.models.mpt.modeling_mpt import gen_rotary_embedding
+from llmfoundry.models.mpt.modeling_mpt import (gen_flash_attn_padding_info,
+                                                gen_rotary_embedding)
 
 
 @pytest.mark.gpu
@@ -104,14 +105,20 @@ def test_rope_dail_vs_hf(attn_type: str, seq_len: int, device: str = 'cuda'):
                          attn_bias=None,
                          attention_mask=attention_mask,
                          rotary_emb_w_meta_info=dail_rope_w_meta_info,
-                         is_causal=True)
+                         is_causal=True,
+                         flash_attn_padding_info=gen_flash_attn_padding_info(
+                             batch_size, seq_len, 0, torch.device(device), None,
+                             attention_mask))
 
         y1, _, _ = attn1(x1,
                          past_key_value=None,
                          attn_bias=None,
                          attention_mask=attention_mask,
                          rotary_emb_w_meta_info=hf_rope_w_meta_info,
-                         is_causal=True)
+                         is_causal=True,
+                         flash_attn_padding_info=gen_flash_attn_padding_info(
+                             batch_size, seq_len, 0, torch.device(device), None,
+                             attention_mask))
 
         y0 *= attention_mask.unsqueeze(-1)
         y1 *= attention_mask.unsqueeze(-1)