diff --git a/single_shot_inference.py b/single_shot_inference.py
index 2d68dbf3..d57b4f1e 100644
--- a/single_shot_inference.py
+++ b/single_shot_inference.py
@@ -421,7 +421,13 @@ def moe_forward(x, li, moe_runner, se_runner, router, token_id):
         print(f"  L{li} MoE routed: |out|={routed_out.abs().max().item():.4f} has_nan={torch.isnan(routed_out).any().item()}", flush=True)
     shared_out = se_runner.run(x)
     if li < 3:
-        print(f"  L{li} MoE shared: |out|={shared_out.abs().max().item():.4f} has_nan={torch.isnan(shared_out).any().item()}", flush=True)
+        try:
+            torch.cuda.synchronize(x.device)
+            cuda_ok = True
+        except RuntimeError as e:
+            cuda_ok = False
+            print(f"  L{li} SE CUDA ERROR: {e}", flush=True)
+        print(f"  L{li} MoE shared: |out|={shared_out.abs().max().item():.4f} has_nan={torch.isnan(shared_out).any().item()} cuda_ok={cuda_ok}", flush=True)
         print(f"  L{li} SE gsa: l1={se_runner._l1_activation_global_scale:.6f} l2={se_runner._l2_activation_global_scale:.6f} gsb: l1={se_runner._l1_gsb[0].item():.6f} l2={se_runner._l2_gsb[0].item():.6f}", flush=True)
     return routed_out + shared_out