"""Evaluator-only renderer identity checks; never initialize a task or choose a fallback GPU.""" from __future__ import annotations import argparse import json import os from pathlib import Path import re import subprocess import sys import xml.etree.ElementTree as ET def validate_gpu_uuid(value: str) -> str: if not isinstance(value, str) or re.fullmatch( r"GPU-[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}", value ) is None: raise ValueError("expected_gpu_uuid must be a complete NVIDIA GPU UUID") return value.lower() def process_devices(xml: str, pid: int) -> list[dict[str, str]]: """Read full device identities, not ambiguous PCI bus numbers or CUDA ordinals.""" devices = [] for gpu in ET.fromstring(xml).findall("gpu"): if any(item.findtext("pid") == str(pid) for item in gpu.findall("processes/process_info")): devices.append({"uuid": gpu.findtext("uuid", ""), "pci_bus_id": gpu.findtext("pci/pci_bus_id", ""), "name": gpu.findtext("product_name", "")}) return devices def driver_process_id() -> int: """Read this process's kernel PID, matching the NVIDIA driver namespace. Linux /proc/self/sched reports task_pid_nr(), including inside PID namespaces. Never infer identity from another process using the same GPU. """ try: header = Path("/proc/self/sched").read_text().splitlines()[0] except (OSError, IndexError) as exc: raise RuntimeError("cannot verify renderer kernel process identity") from exc match = re.fullmatch(r".+ \(([1-9][0-9]*), #threads: [1-9][0-9]*\)", header) if match is None: raise RuntimeError("cannot parse renderer kernel process identity") return int(match.group(1)) def assert_render_device(expected_gpu_uuid: str) -> dict: """Fail closed if NVIDIA's process inventory cannot attest this process's device. Includes graphics AND compute entries. Resolve the current kernel PID from procfs; missing process identity or inventory remains a failure. This is operational evidence, not a sandbox or loaded-memory attestation. """ expected = validate_gpu_uuid(expected_gpu_uuid) query = subprocess.run(["nvidia-smi", "-q", "-x"], check=True, capture_output=True, text=True, timeout=15) kernel_pid = driver_process_id() devices = process_devices(query.stdout, kernel_pid) if len(devices) != 1 or devices[0]["uuid"].lower() != expected: raise RuntimeError(f"renderer GPU identity mismatch: expected {expected_gpu_uuid}, observed {devices}; " "no automatic device fallback; check NVIDIA process/PID visibility") return {"expected_gpu_uuid": expected_gpu_uuid, "process_id": os.getpid(), "driver_process_id": kernel_pid, "driver_pid_source": "/proc/self/sched", "observed_devices": devices, "identity_source": "nvidia-smi process inventory"} def _renderer_probe(device: str, expected: str) -> dict: import sapien.core as sapien sapien.SapienRenderer.set_log_level("info") renderer = sapien.SapienRenderer(offscreen_only=True, device=device) result = assert_render_device(expected) # Keep renderer alive until the process inventory has been checked. del renderer return result def main(argv=None) -> int: parser = argparse.ArgumentParser(description="Check renderer-only GPU identity; no scene/reset/control/model") parser.add_argument("--device", required=True, help="exact SAPIEN selector used by server parameters") parser.add_argument("--expected-gpu-uuid", required=True) parser.add_argument("--output", type=Path, required=True, help="new JSON receipt; existing files are refused") args = parser.parse_args(argv) validate_gpu_uuid(args.expected_gpu_uuid) # Reserve a fresh receipt before allocating resources. The isolated child # releases its renderer even if initialization raises or times out. with args.output.open("x", encoding="utf-8") as receipt: command = [sys.executable, "-B", "-c", "import json,sys; from benchmarks.simBenchmarks.SimplerEnv.environment.render_device " "import _renderer_probe; print('RSI_RENDER_DEVICE='+json.dumps(_renderer_probe(sys.argv[1],sys.argv[2])),flush=True)", args.device, args.expected_gpu_uuid] result = {"schema": "simpler-render-device-preflight/v1", "device": args.device, "expected_gpu_uuid": args.expected_gpu_uuid, "passed": False, "task_resets": 0, "controls": 0, "model_calls": 0, "environment": {key: os.environ.get(key) for key in ("CUDA_VISIBLE_DEVICES", "VK_ICD_FILENAMES")}} try: child = subprocess.run(command, capture_output=True, text=True, timeout=60) result.update(returncode=child.returncode, stdout=child.stdout, stderr=child.stderr) rows = [line.removeprefix("RSI_RENDER_DEVICE=") for line in child.stdout.splitlines() if line.startswith("RSI_RENDER_DEVICE=")] if child.returncode == 0 and len(rows) == 1: result.update(passed=True, identity=json.loads(rows[0])) except subprocess.TimeoutExpired: result["error"] = "renderer_preflight_timeout" json.dump(result, receipt, indent=2) receipt.write("\n") print(json.dumps({"passed": result["passed"], "receipt": str(args.output), "task_resets": 0})) return 0 if result["passed"] else 1 if __name__ == "__main__": raise SystemExit(main())