diff --git a/python/sglang/srt/layers/attention/trtllm_mha_backend.py b/python/sglang/srt/layers/attention/trtllm_mha_backend.py
index 722c598b6..0fe16379e 100644
--- a/python/sglang/srt/layers/attention/trtllm_mha_backend.py
+++ b/python/sglang/srt/layers/attention/trtllm_mha_backend.py
@@ -728,7 +728,7 @@ class TRTLLMHAAttnBackend(FlashInferAttnBackend):
         # For XQA, q_dtype should be bf16
         if self.data_type == torch.float8_e4m3fn and (not self.is_xqa_impl):
             q = q.to(torch.float8_e4m3fn)
-        q = q.contiguous().view(-1, layer.tp_q_head_num, layer.head_dim)
+        q = q.reshape(-1, layer.tp_q_head_num, layer.head_dim)
         k_cache, v_cache = forward_batch.token_to_kv_pool.get_kv_buffer(layer.layer_id)
         # shape conversion:
         # [num_pages, page_size, num_kv_heads, head_dim] -> [num_pages, num_kv_heads, page_size, head_dim]
@@ -813,7 +813,7 @@ class TRTLLMHAAttnBackend(FlashInferAttnBackend):
 
         if self.data_type == torch.float8_e4m3fn:
             q = q.to(torch.float8_e4m3fn)
-        q = q.contiguous().view(-1, layer.tp_q_head_num, layer.head_dim)
+        q = q.reshape(-1, layer.tp_q_head_num, layer.head_dim)
         # [num_pages, page_size, num_kv_heads, head_dim] -> [num_pages, num_kv_heads, page_size, head_dim]
         k_cache, v_cache = forward_batch.token_to_kv_pool.get_kv_buffer(layer.layer_id)
         k_cache = k_cache.view(