diff --git a/src/turbomind/kernels/attention/test_attention.cu b/src/turbomind/kernels/attention/test_attention.cu
index 16b7846c7..788b5d489 100644
--- a/src/turbomind/kernels/attention/test_attention.cu
+++ b/src/turbomind/kernels/attention/test_attention.cu
@@ -7,6 +7,7 @@
 #include "src/turbomind/kernels/attention/attention_params.h"
 #include "src/turbomind/kernels/attention/reference.h"
 #include "src/turbomind/models/llama/llama_utils.h"
+#include "src/turbomind/models/llama/rotary_emb.h"
 #include "src/turbomind/utils/cuda_utils.h"
 #include "test_utils.h"
 #include <algorithm>
@@ -376,6 +377,26 @@ int test_attention()
         rope_base[i]        = kRoPEBase;
     }
 
+    // precompute cos/sin
+    const int device_id = 0;
+    auto      allocator = std::make_unique<Allocator<AllocatorType::CUDA>>(device_id, false);
+    allocator->setStream(nullptr);
+    AttentionParam attn_param;
+    attn_param.rope.type   = RopeType::kDefault;
+    attn_param.rope.base   = kRoPEBase;
+    attn_param.rope.dim    = kRoPEDim;
+    attn_param.rope.factor = 1.0f;
+    auto rotary_emb        = std::make_unique<RotaryEmbeddingV2>(attn_param, nullptr, allocator.get());
+
+    RotaryEmbeddingV2Param rotary_param;
+    rotary_param.rope_theta = rope_base.data().get();
+    rotary_param.q_len      = cu_seqlens.data().get();
+    rotary_param.k_ken      = cu_kv_lens.data().get();
+    rotary_param.batch_size = kBatchSize;
+    rotary_param.token_num  = kTokenNum;
+    rotary_emb->forward(rotary_param);
+    params.cos_sin = rotary_emb->cos_sin_;
+
     // getchar();
 
     params.out = output_ref.data().get();
@@ -429,8 +450,6 @@ int test_attention()
     params.qk = qk_buf.data().get();
     params.pr = pr_buf.data().get();
 
-    params.cos_sin = nullptr;
-
     Reference<T> reference(kDump ? Reference<T>::kUNFUSED : Reference<T>::kFLASH_ATTENTION, {});
     // Reference<T> reference(Reference<T>::kUNFUSED, {});
     reference.Reshape(kInputLen, kContextLen, kHeadNum, kHeadDim, KvHeadNum, kBatchSize);
diff --git a/src/turbomind/models/llama/rotary_emb.cu b/src/turbomind/models/llama/rotary_emb.cu
index 72362bcb7..efb98bf85 100644
--- a/src/turbomind/models/llama/rotary_emb.cu
+++ b/src/turbomind/models/llama/rotary_emb.cu
@@ -180,7 +180,7 @@ RotaryEmbeddingV2::RotaryEmbeddingV2(const AttentionParam& param, cudaStream_t s
     }
 }
 
-void RotaryEmbeddingV2::forward(const RotaryEmbeddingV2Params& params)
+void RotaryEmbeddingV2::forward(const RotaryEmbeddingV2Param& params)
 {
     allocateBuffer(params.token_num);
 
diff --git a/src/turbomind/models/llama/rotary_emb.h b/src/turbomind/models/llama/rotary_emb.h
index 43fa24714..db250402a 100644
--- a/src/turbomind/models/llama/rotary_emb.h
+++ b/src/turbomind/models/llama/rotary_emb.h
@@ -7,7 +7,7 @@ namespace turbomind {
 
 RopeType GetRoPEType(const std::string& type);
 
-struct RotaryEmbeddingV2Params {
+struct RotaryEmbeddingV2Param {
     float* rope_theta;
     int*   q_len;
     int*   k_ken;
@@ -41,7 +41,7 @@ struct RotaryEmbeddingV2 {
         freeBuffer();
     }
 
-    void forward(const RotaryEmbeddingV2Params& params);
+    void forward(const RotaryEmbeddingV2Param& params);
 
     cudaStream_t const stream_;
     IAllocator* const  allocator_;
diff --git a/src/turbomind/models/llama/unified_decoder.cc b/src/turbomind/models/llama/unified_decoder.cc
index c37658fd3..792c4d3b5 100644
--- a/src/turbomind/models/llama/unified_decoder.cc
+++ b/src/turbomind/models/llama/unified_decoder.cc
@@ -164,7 +164,7 @@ void UnifiedDecoder<T>::forward(TensorMap* outputs, const TensorMap* inputs, con
     count_and_fix(decoder_output, token_num * hidden_units_, Concat("norm0", 0), 2);
 
     {
-        RotaryEmbeddingV2Params params;
+        RotaryEmbeddingV2Param params;
         params.rope_theta = inputs->getPtr<float>("rope_theta");
         params.q_len      = cu_q_len_;
         params.k_ken      = cu_k_len_;