Qualify scoped Windows RTX Qwen3.8 FP8 text and image path

benchmarks/edge_harness/experiments/probe_fp8_block_kernel.py

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+"""Check the installed Windows vLLM block-FP8 kernel before loading 27B weights."""
+
+import json
+import sys
+import traceback
+from pathlib import Path
+
+import torch
+
+
+def main() -> None:
+    out = Path(sys.argv[1])
+    result = {
+        "torch": torch.__version__,
+        "device": torch.cuda.get_device_name(0),
+        "capability": torch.cuda.get_device_capability(0),
+    }
+    try:
+        import vllm.model_executor.kernels.linear.scaled_mm.triton  # noqa: F401
+
+        a = torch.ones((4, 128), device="cuda", dtype=torch.float8_e4m3fn)
+        b = torch.ones((128, 128), device="cuda", dtype=torch.float8_e4m3fn)
+        sa = torch.ones((4, 1), device="cuda", dtype=torch.float32)
+        sb = torch.ones((1, 1), device="cuda", dtype=torch.float32)
+        y = torch.ops.vllm.w8a8_triton_block_scaled_mm_func(
+            a, b, sa, sb, [128, 128], torch.bfloat16
+        )
+        torch.cuda.synchronize()
+        result.update(status="pass", shape=list(y.shape), value=float(y[0, 0]))
+    except Exception as exc:
+        result.update(status="failed", error=repr(exc), traceback=traceback.format_exc())
+    out.parent.mkdir(parents=True, exist_ok=True)
+    out.write_text(json.dumps(result, indent=2) + "\n", encoding="utf-8")
+    if result["status"] != "pass":
+        raise SystemExit(1)
+
+
+if __name__ == "__main__":
+    main()