debug: assert token indices are correct after allocation

vllm/nvfp4_cutedsl.py

@@ -84,7 +84,11 @@ class CuTeDSLMoERunner:
         # Slot -> token mapping: [0,0,...,0, 1,1,...,1, ...] (top_k repeats)
         self._token_indices = torch.arange(
             self.max_num_tokens, device=self.device
-        ).unsqueeze(1).expand(-1, self.top_k).reshape(-1)
+        ).unsqueeze(1).expand(-1, self.top_k).reshape(-1).clone()
+        
+        # Debug: verify token indices are correct
+        assert self._token_indices[:8].tolist() == [0, 0, 1, 1, 2, 2, 3, 3], \
+            f"Token indices corrupted: {self._token_indices[:8].tolist()}"
         
         self._expert_id_range = torch.arange(self.num_experts, device=self.device)