Upgrade to vllm 0.17.0 corex v4.1 overlay

vllm/model_executor/models/gemma3n.py

@@ -409,7 +409,7 @@ class Gemma3nAttention(nn.Module):
     ) -> torch.Tensor:
         qkv, _ = self.qkv_proj(hidden_states)
         q, k, v = qkv.split([self.q_size, self.kv_size, self.kv_size], dim=-1)
-
+        q, k, v = q.contiguous(), k.contiguous(), v.contiguous()
         q = q.unflatten(-1, (self.num_heads, self.head_dim))
         q = self.q_norm(q)
         q = q.flatten(-2, -1)