diff --git a/mxrec_add_ons/rec_for_torch/operators/hstu_dense_forward/op_host/tiling_policy.cpp b/mxrec_add_ons/rec_for_torch/operators/hstu_dense_forward/op_host/tiling_policy.cpp
index 320487da9126a198e0c374481a2b1a2d530b1e4d..51b9e07d06a3fd480cbf0cdf9bb6ae47fb117be1 100644
--- a/mxrec_add_ons/rec_for_torch/operators/hstu_dense_forward/op_host/tiling_policy.cpp
+++ b/mxrec_add_ons/rec_for_torch/operators/hstu_dense_forward/op_host/tiling_policy.cpp
@@ -31,7 +31,7 @@ ShapeRange::ShapeRange(int64_t lbound, int64_t ubound, int64_t mutiple, const ch
 bool ShapeRange::Check(int64_t val) const
 {
     OPS_CHECK((val < lbound || val > ubound || val % mutiple != 0),
-              OPS_LOG_E("%s must meet range[%lld %lld] and mutiple of [%lld]. but get value %lld\n", name, lbound,
+              OPS_LOG_E("", "%s must meet range[%lld %lld] and mutiple of [%lld]. but get value %lld\n", name, lbound,
                         ubound, mutiple, val),
               return false);
     return true;
diff --git a/mxrec_add_ons/rec_for_torch/torch_plugin/torch_demo/hstu_dense/test_hstu_dense_forward_demo.py b/mxrec_add_ons/rec_for_torch/torch_plugin/torch_demo/hstu_dense/test_hstu_dense_forward_demo.py
index 6603996675a143b7abae8de410ebbbe62b3a96f4..194d6d2970717a7e643bf450ffa9e36ef82333ae 100644
--- a/mxrec_add_ons/rec_for_torch/torch_plugin/torch_demo/hstu_dense/test_hstu_dense_forward_demo.py
+++ b/mxrec_add_ons/rec_for_torch/torch_plugin/torch_demo/hstu_dense/test_hstu_dense_forward_demo.py
@@ -239,6 +239,34 @@ class TestHstuJaggedDemo:
     def test_hstu_dens_forward_2048bs(self, head_num, max_seq_len, head_dim, enable_bias, mask_type, silu_scale,
                                       data_type):
         self.execute(2048, max_seq_len, head_num, head_dim, enable_bias, mask_type, silu_scale, data_type)
+    
+    @pytest.mark.parametrize("head_num", [255])
+    @pytest.mark.parametrize("max_seq_len", [16])
+    @pytest.mark.parametrize("head_dim", [256])
+    @pytest.mark.parametrize("enable_bias", [True])
+    @pytest.mark.parametrize("mask_type", [mask_custom])
+    @pytest.mark.parametrize("silu_scale", [1 / 1024])
+    @pytest.mark.parametrize("data_type", [torch.bfloat16])
+    @pytest.mark.skipif(get_chip(), reason="This test case is Skipped for Ascend310P.")
+    def test_hstu_dens_forward_head_num_255(self, head_num, max_seq_len, head_dim, enable_bias, mask_type, silu_scale,
+                                        data_type):
+        with pytest.raises(RuntimeError) as e_info:
+            self.execute(20, max_seq_len, head_num, head_dim, enable_bias, mask_type, silu_scale, data_type)
+        assert "head num must meet range[2 8] and mutiple of [2]. but get value 255" in str(e_info.value)
+    
+    @pytest.mark.parametrize("head_num", [2])
+    @pytest.mark.parametrize("max_seq_len", [16])
+    @pytest.mark.parametrize("head_dim", [255])
+    @pytest.mark.parametrize("enable_bias", [True])
+    @pytest.mark.parametrize("mask_type", [mask_custom])
+    @pytest.mark.parametrize("silu_scale", [1 / 1024])
+    @pytest.mark.parametrize("data_type", [torch.bfloat16])
+    @pytest.mark.skipif(get_chip(), reason="This test case is Skipped for Ascend310P.")
+    def test_hstu_dens_forward_head_dim_255(self, head_num, max_seq_len, head_dim, enable_bias, mask_type, silu_scale,
+                                        data_type):
+        with pytest.raises(RuntimeError) as e_info:
+            self.execute(20, max_seq_len, head_num, head_dim, enable_bias, mask_type, silu_scale, data_type)
+        assert "dim size must meet range[16 512] and mutiple of [16]. but get value 255" in str(e_info.value)
 
 
 class TestHstuNormalDemo: