Download scripts/monitor.py from timmyGPT/local-256k-reasoning: direct link, hf CLI and curl.
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https://huggingface.co/datasets/timmyGPT/local-256k-reasoning/resolve/main/scripts/monitor.py
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hf download hf://datasets/timmyGPT/local-256k-reasoning/scripts/monitor.py
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curl -L -o monitor.py https://huggingface.co/datasets/timmyGPT/local-256k-reasoning/resolve/main/scripts/monitor.py
1.88 kB
| #!/usr/bin/env python3 | |
| """Sample PRO 4000 (by UUID) + system RAM/CPU/swap every second to CSV until killed. | |
| Writes <csv>.peaks.json on exit (SIGTERM/SIGINT).""" | |
| import csv, json, signal, subprocess, sys, time, psutil | |
| UUID = "GPU-4e9ed5ea-d6d0-183f-9335-fd87f65d3f16" | |
| out = sys.argv[1]; pid = int(sys.argv[2]) if len(sys.argv) > 2 else None | |
| f = open(out, "w", newline=""); w = csv.writer(f) | |
| cols = ["t", "vram_mib", "gpu_util", "power_w", "temp_c", "sm_mhz", "ram_used_gb", "swap_used_gb", "cpu_pct", "proc_rss_gb", "swap_in_mbps", "swap_out_mbps"] | |
| w.writerow(cols); peaks = {c: 0.0 for c in cols[1:]} | |
| stop = False | |
| def h(*_): | |
| global stop; stop = True | |
| signal.signal(signal.SIGTERM, h); signal.signal(signal.SIGINT, h) | |
| proc = psutil.Process(pid) if pid else None | |
| start_sin = psutil.swap_memory().sin | |
| t0 = time.time(); last = psutil.swap_memory(); lt = t0 | |
| while not stop: | |
| q = subprocess.run(["nvidia-smi", "-i", UUID, "--query-gpu=memory.used,utilization.gpu,power.draw,temperature.gpu,clocks.sm", | |
| "--format=csv,noheader,nounits"], capture_output=True, text=True).stdout.strip().split(", ") | |
| vm = psutil.virtual_memory(); sw = psutil.swap_memory() | |
| try: rss = proc.memory_info().rss / 1e9 if proc else 0 | |
| except psutil.Error: rss = 0 | |
| now = time.time(); dt = max(now - lt, 1e-3) | |
| sin = (sw.sin - last.sin) / dt / 1e6; sout = (sw.sout - last.sout) / dt / 1e6; last, lt = sw, now | |
| row = [round(now - t0, 1), *[float(x) for x in q], round((vm.total - vm.available) / 1e9, 2), | |
| round(sw.used / 1e9, 2), psutil.cpu_percent(), round(rss, 2), round(sin, 1), round(sout, 1)] | |
| w.writerow(row); f.flush() | |
| for c, v in zip(cols[1:], row[1:]): peaks[c] = max(peaks[c], v) | |
| time.sleep(1) | |
| peaks["swap_in_total_mb"] = round((psutil.swap_memory().sin - start_sin) / 1e6, 1) | |
| json.dump(peaks, open(out + ".peaks.json", "w"), indent=1) | |