f5917a0464
The API claimed the card was at 320W while nvidia-smi reported 370W. Three separate defects, all introduced by me in this branch. The readback was stale. get_gpu_state()/get_fan_status() gained a 2s cache so the dashboard's polling would stop forking sudo every few seconds, but apply_profile read back through that cache and its invalidation ran afterwards. A profile that had just moved the card 370W -> 320W therefore returned a payload whose detail string said "set to 320.00 W from 370.00 W" next to a power_limit_w of 370.0. Caches are now cleared before the readback, which is forced. Fan control could fail for an entire session. On boot this unit can start before the headless X server on :8 that owns the GPU accepts connections, and the fan assignment fails with "Error resolving target specification 'gpu:0'". Nothing retried and nothing surfaced it, so the fans were left unconfigured with the failure visible only inside one log line. apply_fan_control now recognises that specific error and retries up to 5 times. Nothing verified the result. ACTIVE_PROFILE defaults to "balanced" at import, which is indistinguishable from "balanced was successfully applied" -- so a failed startup apply left the app confidently reporting a profile it had never put on the hardware. apply_profile now returns a `verified` block comparing intent against readback and logs a warning on mismatch; profile_drift() exposes the comparison plus whether any profile has actually been applied since startup; and the 1Hz sampler calls reconcile_profile() once a minute to re-apply on drift. Verified by setting 370W externally behind the service's back: the drift was reported immediately and corrected automatically 40s later. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
542 lines
21 KiB
Python
542 lines
21 KiB
Python
"""
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Overclock Manager for HyperSwap — per-app GPU overclock profiles for the RTX 4080 SUPER.
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Lever hierarchy (what actually works on this box):
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1. Power limit nvidia-smi -pl <W> -> 320W -> 370W max (BIG win, works on open module)
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2. Clock locks nvidia-smi -lgc / -lmc -> sustain max boost (works on open module)
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3. Clock offsets nvidia-settings -a ... -> +core / +mem beyond stock (needs PROPRIETARY module)
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Profiles are application-specific:
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- ollama : LLM decode is memory-bandwidth bound -> lock memory clock to max + max power
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- comfy : diffusion is compute bound -> lock core clock high + max power
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- balanced: stock boost, power unlocked only
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Auto-switches in lockstep with the VRAM arbitrator (vram_arbitrator.AutoArbitrator).
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"""
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import json
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import logging
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import os
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import shutil
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import subprocess
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import time
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from typing import Dict, Any, Optional, List
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logger = logging.getLogger("overclock_manager")
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_BASE = os.path.dirname(os.path.abspath(__file__))
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CONFIG_PATH = os.path.join(_BASE, "overclock_profiles.json")
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NVIDIA_SMI = "nvidia-smi"
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NVIDIA_SETTINGS = "nvidia-settings"
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HEADLESS_DISPLAY = ":8" # dedicated headless X server owning the NVIDIA GPU
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HEADLESS_CONFIG = "/etc/X11/xorg.conf.nvidia-headless"
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# Default profile set. lock_* == 0 means "don't lock" (let boost manage).
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DEFAULT_PROFILES: Dict[str, Dict[str, Any]] = {
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"ollama": {
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"label": "Ollama — LLM decode (memory-bandwidth bound)",
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"power_limit_w": 370,
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"core_offset_mhz": 100,
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"mem_offset_mhz": 500,
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"lock_core_min": 0,
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"lock_core_max": 0,
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"lock_mem_mhz": 11501,
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"fan_mode": "manual",
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"fan_speed_pct": 60,
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},
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"comfy": {
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"label": "ComfyUI — diffusion (core-compute bound)",
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"power_limit_w": 370,
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"core_offset_mhz": 100,
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"mem_offset_mhz": 500,
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"lock_core_min": 2900,
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"lock_core_max": 3105,
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"lock_mem_mhz": 0,
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"fan_mode": "manual",
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"fan_speed_pct": 75,
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},
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"balanced": {
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"label": "Balanced — stock boost, power unlocked",
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"power_limit_w": 370,
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"core_offset_mhz": 0,
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"mem_offset_mhz": 0,
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"lock_core_min": 0,
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"lock_core_max": 0,
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"lock_mem_mhz": 0,
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"fan_mode": "auto",
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"fan_speed_pct": 0,
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},
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}
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_OFFSETS_SUPPORTED: Optional[bool] = None
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def offsets_supported(recheck: bool = False) -> bool:
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"""Whether nvidia-settings clock offsets actually take effect on this driver.
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Driver 595.84 accepts GPUGraphicsClockOffset/GPUMemoryTransferRateOffset and silently
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discards them: assigning 0 returns success and the attribute still reads back its old
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value. Profiles carrying core_offset_mhz/mem_offset_mhz were therefore configuring
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nothing. Probed once and cached.
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"""
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global _OFFSETS_SUPPORTED
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if _OFFSETS_SUPPORTED is not None and not recheck:
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return _OFFSETS_SUPPORTED
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def _read() -> Optional[int]:
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q = _nvidia_settings("-q", "[gpu:0]/GPUGraphicsClockOffset[3]")
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for line in (q.get("out") or "").splitlines():
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if "Attribute" in line and "):" in line:
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try:
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return int(line.split("):")[-1].split(".")[0].strip())
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except Exception:
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pass
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return None
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before = _read()
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if before is None:
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_OFFSETS_SUPPORTED = False
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return False
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probe = before + 25
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_nvidia_settings("-a", f"[gpu:0]/GPUGraphicsClockOffset[3]={probe}")
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after = _read()
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_nvidia_settings("-a", f"[gpu:0]/GPUGraphicsClockOffset[3]={before}")
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_OFFSETS_SUPPORTED = (after is not None and after != before)
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if not _OFFSETS_SUPPORTED:
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logger.warning("Clock offsets are not honoured by this driver "
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f"(set {probe}, read back {after}); profile offset fields are inert.")
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return _OFFSETS_SUPPORTED
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ACTIVE_PROFILE = "balanced"
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_LAST_RESULT: Dict[str, Any] = {}
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FAN_MANUAL = False
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def _sh(cmd: List[str], use_sudo: bool = True, timeout: int = 10) -> Dict[str, Any]:
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"""Run a command; return rc/stdout/stderr. Prefers passwordless sudo."""
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full = list(cmd)
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if use_sudo:
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full = ["sudo", "-n"] + full
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try:
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proc = subprocess.run(
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full, capture_output=True, text=True, timeout=timeout
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)
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return {"rc": proc.returncode, "out": proc.stdout.strip(), "err": proc.stderr.strip()}
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except subprocess.TimeoutExpired:
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return {"rc": -1, "out": "", "err": "timeout"}
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except FileNotFoundError as e:
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return {"rc": -1, "out": "", "err": f"not found: {e}"}
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def _smi(*args: str) -> Dict[str, Any]:
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return _sh([NVIDIA_SMI, *args], use_sudo=True)
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def _nvidia_settings(*args: str) -> Dict[str, Any]:
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"""Run nvidia-settings against the headless X display that owns the GPU."""
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env = os.environ.copy()
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env["DISPLAY"] = HEADLESS_DISPLAY
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cmd = [NVIDIA_SETTINGS, "-c", HEADLESS_DISPLAY, *args]
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try:
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proc = subprocess.run(cmd, capture_output=True, text=True, timeout=15, env=env)
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return {"rc": proc.returncode, "out": proc.stdout.strip(), "err": proc.stderr.strip()}
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except Exception as e:
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return {"rc": -1, "out": "", "err": str(e)}
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def load_profiles() -> Dict[str, Dict[str, Any]]:
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"""Load profiles from disk, falling back to defaults and merging new keys."""
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profiles = json.loads(json.dumps(DEFAULT_PROFILES))
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if os.path.exists(CONFIG_PATH):
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try:
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with open(CONFIG_PATH) as f:
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stored = json.load(f)
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for name, cfg in stored.items():
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if name in profiles:
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profiles[name].update(cfg)
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else:
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profiles[name] = cfg
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except Exception as e:
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logger.warning(f"Could not load {CONFIG_PATH}: {e}")
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return profiles
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def save_profiles(profiles: Dict[str, Dict[str, Any]]) -> bool:
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try:
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with open(CONFIG_PATH, "w") as f:
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json.dump(profiles, f, indent=2)
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return True
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except Exception as e:
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logger.error(f"save_profiles failed: {e}")
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return False
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def get_profiles() -> Dict[str, Dict[str, Any]]:
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return load_profiles()
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def set_profile(name: str, cfg: Dict[str, Any]) -> Dict[str, Any]:
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profiles = load_profiles()
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if name not in profiles:
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return {"success": False, "error": f"unknown profile '{name}'"}
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profiles[name].update(cfg)
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ok = save_profiles(profiles)
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return {"success": ok, "profiles": profiles if ok else None}
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def _apply_power_limit(watts: int) -> Dict[str, Any]:
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r = _smi("-pl", str(watts))
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ok = r["rc"] == 0
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return {"applied": ok, "detail": r.get("out") or r.get("err")}
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def _apply_clock_lock(core_min: int, core_max: int) -> Dict[str, Any]:
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if core_min == 0 and core_max == 0:
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r = _smi("-rgc")
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return {"applied": r["rc"] == 0, "detail": "reset"}
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r = _smi("-lgc", f"{core_min},{core_max}")
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return {"applied": r["rc"] == 0, "detail": r.get("out") or r.get("err")}
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def _apply_mem_lock(mem_mhz: int) -> Dict[str, Any]:
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if mem_mhz == 0:
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r = _smi("-rmc")
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return {"applied": r["rc"] == 0, "detail": "reset"}
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r = _smi("-lmc", str(mem_mhz))
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return {"applied": r["rc"] == 0, "detail": r.get("out") or r.get("err")}
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def _apply_offsets(core_mhz: int, mem_mhz: int) -> Dict[str, Any]:
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"""Apply +core/+mem offsets via nvidia-settings. Returns whether they actually stuck.
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NOTE: offsets only work with the PROPRIETARY kernel module, not nvidia-open."""
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if core_mhz == 0 and mem_mhz == 0:
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r = _nvidia_settings("-a", "[gpu:0]/GPUGraphicsClockOffset[3]=0",
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"-a", "[gpu:0]/GPUMemoryTransferRateOffset[3]=0")
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return {"applied": r["rc"] == 0, "detail": "reset", "supported": True}
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r = _nvidia_settings("-a", f"[gpu:0]/GPUGraphicsClockOffset[3]={core_mhz}",
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"-a", f"[gpu:0]/GPUMemoryTransferRateOffset[3]={mem_mhz}")
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if r["rc"] != 0:
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return {"applied": False, "detail": r.get("err") or r.get("out"), "supported": False}
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# Read back to confirm the driver actually persisted the offsets.
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q = _nvidia_settings("-q", "[gpu:0]/GPUGraphicsClockOffset[3]",
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"-q", "[gpu:0]/GPUMemoryTransferRateOffset[3]")
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applied_core = applied_mem = None
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for line in q["out"].splitlines():
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line = line.strip()
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if "GPUGraphicsClockOffset" in line and ":" in line and "(" in line:
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try:
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applied_core = int(line.split("):")[-1].split(".")[0].strip())
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except Exception:
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pass
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if "GPUMemoryTransferRateOffset" in line and ":" in line and "(" in line:
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try:
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applied_mem = int(line.split("):")[-1].split(".")[0].strip())
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except Exception:
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pass
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supported = (applied_core is not None and applied_core != 0) or \
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(applied_mem is not None and applied_mem != 0)
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return {
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"applied": supported,
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"supported": supported,
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"readback_core": applied_core,
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"readback_mem": applied_mem,
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"detail": f"core readback={applied_core}, mem readback={applied_mem}",
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}
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def apply_profile(name: str, overrides: Optional[Dict[str, Any]] = None) -> Dict[str, Any]:
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"""Apply a named overclock profile to the GPU. Returns a full result report.
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`overrides` lets the thermal governor and the autotuner apply a modified version of a
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profile (a derated offset, a probe clock) without mutating what is stored on disk.
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"""
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global ACTIVE_PROFILE, _LAST_RESULT
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profiles = load_profiles()
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if name not in profiles:
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return {"success": False, "error": f"unknown profile '{name}'", "profile": name}
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cfg = dict(profiles[name])
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if overrides:
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cfg.update(overrides)
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fan_mode = cfg.get("fan_mode", "auto")
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fan_speed = int(cfg.get("fan_speed_pct", 0))
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result = {
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"success": True,
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"profile": name,
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"label": cfg.get("label", name),
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"power_limit": _apply_power_limit(int(cfg.get("power_limit_w", 370))),
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"clock_lock": _apply_clock_lock(int(cfg.get("lock_core_min", 0)), int(cfg.get("lock_core_max", 0))),
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"mem_lock": _apply_mem_lock(int(cfg.get("lock_mem_mhz", 0))),
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"offsets": (_apply_offsets(int(cfg.get("core_offset_mhz", 0)),
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int(cfg.get("mem_offset_mhz", 0)))
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if offsets_supported() else
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{"applied": False, "supported": False,
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"detail": "skipped: this driver accepts clock offsets and ignores them"}),
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"fan": apply_fan_control(fan_mode, fan_speed),
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}
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# Invalidate BEFORE reading back. These caches exist so the dashboard's polling does
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# not fork sudo every few seconds, but reading through them here reported the
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# pre-change value: a profile that had just moved the card 370W -> 320W came back
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# claiming 370W, so the API contradicted nvidia-smi.
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_STATE_CACHE["value"] = None
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_FAN_CACHE["value"] = None
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result["gpu"] = get_gpu_state(force=True)
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result["fan_status"] = get_fan_status(force=True)
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result["overrides"] = overrides or {}
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# Say plainly whether the card ended up where the profile asked it to.
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intended_w = int(cfg.get("power_limit_w", 0))
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actual_w = result["gpu"].get("power_limit_w")
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result["verified"] = {
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"power_limit_intended_w": intended_w,
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"power_limit_actual_w": actual_w,
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"power_limit_ok": (actual_w is None or intended_w == 0
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or abs(float(actual_w) - intended_w) < 1.0),
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"fan_mode_intended": fan_mode,
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"fan_mode_actual": result["fan_status"].get("mode"),
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"fan_ok": result["fan"].get("applied", False),
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}
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if not result["verified"]["power_limit_ok"]:
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logger.warning(f"Profile '{name}' asked for {intended_w}W but the card reports "
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f"{actual_w}W")
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if not result["verified"]["fan_ok"]:
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logger.warning(f"Profile '{name}' could not set fans: "
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f"{result['fan'].get('detail')}")
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global _APPLIED_ONCE
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if result["verified"]["power_limit_ok"]:
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_APPLIED_ONCE = True
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ACTIVE_PROFILE = name
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_LAST_RESULT = result
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logger.info(f"Overclock profile applied: {name} -> {json.dumps(result, default=str)}")
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return result
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_STATE_CACHE: Dict[str, Any] = {"ts": 0.0, "value": None}
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_FAN_CACHE: Dict[str, Any] = {"ts": 0.0, "value": None}
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STATE_TTL_S = 2.0
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def get_gpu_state(force: bool = False) -> Dict[str, Any]:
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"""Read back live GPU clocks/power/limits via nvidia-smi.
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Cached for STATE_TTL_S: this forks `sudo nvidia-smi`, and the dashboard polls the
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status endpoint every few seconds. NVML already covers the live 1 Hz telemetry.
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"""
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import time as _time
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if not force and _STATE_CACHE["value"] is not None and \
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(_time.time() - _STATE_CACHE["ts"]) < STATE_TTL_S:
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return _STATE_CACHE["value"]
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state: Dict[str, Any] = {}
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r = _smi(
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"--query-gpu=driver_version,name,memory.total,power.limit,power.max_limit,power.default_limit,"
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"clocks.sm,clocks.max.sm,clocks.mem,clocks.max.mem,"
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"temperature.gpu,power.draw,fan.speed",
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"--format=csv,noheader,nounits",
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)
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if r["rc"] == 0 and r["out"]:
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parts = [p.strip() for p in r["out"].split(",")]
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keys = ["driver_version", "name", "vram_total_mb", "power_limit_w", "power_max_w", "power_default_w",
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"clock_sm_mhz", "clock_sm_max_mhz", "clock_mem_mhz", "clock_mem_max_mhz",
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"temp_c", "power_draw_w", "fan_pct"]
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for i, k in enumerate(keys):
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if i < len(parts):
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try:
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state[k] = float(parts[i])
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except ValueError:
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state[k] = parts[i]
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_STATE_CACHE.update({"ts": __import__("time").time(), "value": state})
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return state
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def is_headless_x_running() -> bool:
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r = _sh(["pgrep", "-f", f"Xorg {HEADLESS_DISPLAY}"], use_sudo=False)
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return r["rc"] == 0
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FAN_RETRY_ATTEMPTS = 5
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FAN_RETRY_DELAY_S = 2.0
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def _fan_target_missing(result: Dict[str, Any]) -> bool:
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"""True when nvidia-settings could not see the GPU at all.
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On boot this service can start before the headless X server on :8 that owns the GPU
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is accepting connections, and the fan assignment fails with 'Error resolving target
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specification'. Nothing retried, so the fans were simply never configured for the
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whole session and the failure was only visible deep in a log line.
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"""
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text = ((result.get("err") or "") + (result.get("out") or "")).lower()
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return ("error resolving target" in text or "no targets match" in text
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or "cannot open display" in text)
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def apply_fan_control(mode: str, speed_pct: int, _attempt: int = 0) -> Dict[str, Any]:
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global FAN_MANUAL
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if mode == "auto":
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r = _nvidia_settings("-a", "[gpu:0]/GPUFanControlState=0")
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ok = r["rc"] == 0
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if not ok and _fan_target_missing(r) and _attempt < FAN_RETRY_ATTEMPTS:
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logger.info(f"Fan control target not ready (attempt {_attempt + 1}/"
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f"{FAN_RETRY_ATTEMPTS}); X on {HEADLESS_DISPLAY} may still be "
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f"starting — retrying in {FAN_RETRY_DELAY_S}s")
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time.sleep(FAN_RETRY_DELAY_S)
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return apply_fan_control(mode, speed_pct, _attempt + 1)
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if ok:
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FAN_MANUAL = False
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_FAN_CACHE["value"] = None
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return {"applied": ok, "mode": "auto", "detail": r.get("out") or r.get("err"),
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"attempts": _attempt + 1}
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speed_pct = max(30, min(100, int(speed_pct)))
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r = _nvidia_settings(
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"-a", "[gpu:0]/GPUFanControlState=1",
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"-a", f"[fan:0]/GPUTargetFanSpeed={speed_pct}",
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"-a", f"[fan:1]/GPUTargetFanSpeed={speed_pct}"
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)
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ok = (r["rc"] == 0)
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if ok:
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FAN_MANUAL = True
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return {"applied": ok, "mode": "manual", "speed_pct": speed_pct, "detail": r.get("out") or r.get("err")}
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def set_fan_speed(percent: int) -> Dict[str, Any]:
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"""Set manual GPU fan target speed (30-100%)."""
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|
return apply_fan_control(mode="manual", speed_pct=percent)
|
|
|
|
|
|
def set_fan_auto() -> Dict[str, Any]:
|
|
"""Return GPU fan to automatic control."""
|
|
global FAN_MANUAL
|
|
r = _nvidia_settings("-a", "[gpu:0]/GPUFanControlState=0")
|
|
ok = r["rc"] == 0
|
|
if ok:
|
|
FAN_MANUAL = False
|
|
_FAN_CACHE["value"] = None
|
|
return {"success": ok, "manual": False, "fan_speed_pct": None, "detail": r.get("out") or r.get("err")}
|
|
|
|
|
|
def get_fan_status(force: bool = False) -> Dict[str, Any]:
|
|
"""Read current fan control mode + target speed (cached; forks nvidia-settings)."""
|
|
import time as _time
|
|
if not force and _FAN_CACHE["value"] is not None and \
|
|
(_time.time() - _FAN_CACHE["ts"]) < STATE_TTL_S:
|
|
return _FAN_CACHE["value"]
|
|
global FAN_MANUAL
|
|
target = None
|
|
manual = FAN_MANUAL
|
|
r = _nvidia_settings("-q", "[gpu:0]/GPUFanControlState", "-q", "[fan:0]/GPUTargetFanSpeed")
|
|
if r.get("rc") == 0 and r.get("out"):
|
|
for line in r["out"].splitlines():
|
|
if "GPUFanControlState" in line and ":" in line:
|
|
try:
|
|
val = int(line.split("):")[-1].split(".")[0].strip())
|
|
manual = (val == 1)
|
|
except Exception:
|
|
pass
|
|
elif "GPUTargetFanSpeed" in line and ":" in line and "(" in line:
|
|
try:
|
|
target = int(line.split("):")[-1].split(".")[0].strip())
|
|
except Exception:
|
|
pass
|
|
result = {"manual": manual, "mode": "manual" if manual else "auto", "target_speed_pct": target}
|
|
_FAN_CACHE.update({"ts": __import__("time").time(), "value": result})
|
|
return result
|
|
|
|
|
|
def restore_safe(reason: str = "shutdown") -> Dict[str, Any]:
|
|
"""Return the card to stock: no clock locks, no offsets, default power, automatic fans.
|
|
|
|
This matters because every lever here is sticky. If the service dies while a profile is
|
|
applied, the GPU keeps the locked clocks and, worse, keeps the fans pinned at whatever
|
|
manual PWM was last set. Nothing was undoing that.
|
|
"""
|
|
logger.warning(f"Restoring GPU to safe stock state ({reason})")
|
|
result = {
|
|
"reason": reason,
|
|
"clock_lock": _apply_clock_lock(0, 0),
|
|
"mem_lock": _apply_mem_lock(0),
|
|
"offsets": _apply_offsets(0, 0),
|
|
"fan": set_fan_auto(),
|
|
}
|
|
# Hand the power limit back to the card's own default rather than assuming 370 W.
|
|
state = get_gpu_state()
|
|
default_w = state.get("power_default_w")
|
|
if isinstance(default_w, (int, float)) and default_w > 0:
|
|
result["power_limit"] = _apply_power_limit(int(default_w))
|
|
global ACTIVE_PROFILE
|
|
ACTIVE_PROFILE = "stock"
|
|
return result
|
|
|
|
|
|
_APPLIED_ONCE = False
|
|
|
|
|
|
def profile_drift() -> Dict[str, Any]:
|
|
"""Compare what the active profile asks for against what the card actually reports.
|
|
|
|
ACTIVE_PROFILE defaults to "balanced" at import, which is indistinguishable from
|
|
"balanced was successfully applied" -- so a startup apply that failed left the app
|
|
confidently reporting a profile it had never put on the hardware. This makes the
|
|
difference visible instead.
|
|
"""
|
|
profiles = load_profiles()
|
|
cfg = profiles.get(ACTIVE_PROFILE, {})
|
|
state = get_gpu_state()
|
|
intended = int(cfg.get("power_limit_w", 0) or 0)
|
|
actual = state.get("power_limit_w")
|
|
drifted = bool(intended and actual is not None
|
|
and abs(float(actual) - intended) >= 1.0)
|
|
return {
|
|
"profile": ACTIVE_PROFILE,
|
|
"applied_since_start": _APPLIED_ONCE,
|
|
"power_limit_intended_w": intended,
|
|
"power_limit_actual_w": actual,
|
|
"drifted": drifted or not _APPLIED_ONCE,
|
|
"reason": ("no profile has been successfully applied since startup"
|
|
if not _APPLIED_ONCE else
|
|
f"card reports {actual}W, profile asks {intended}W" if drifted else None),
|
|
}
|
|
|
|
|
|
def reconcile_profile() -> Dict[str, Any]:
|
|
"""Re-apply the active profile if the hardware has drifted away from it."""
|
|
drift = profile_drift()
|
|
if not drift["drifted"]:
|
|
return {"reconciled": False, "drift": drift}
|
|
logger.warning(f"Overclock drift detected — re-applying '{ACTIVE_PROFILE}': "
|
|
f"{drift['reason']}")
|
|
res = apply_profile(ACTIVE_PROFILE)
|
|
return {"reconciled": True, "drift": drift, "result": res.get("verified")}
|
|
|
|
|
|
def get_status() -> Dict[str, Any]:
|
|
"""Full overclock status for the dashboard."""
|
|
return {
|
|
"active_profile": ACTIVE_PROFILE,
|
|
"drift": profile_drift(),
|
|
"offsets_supported": offsets_supported(),
|
|
"effective_levers": (["power_limit", "clock_lock", "mem_lock", "fan"]
|
|
+ (["offsets"] if offsets_supported() else [])),
|
|
"profiles": load_profiles(),
|
|
"gpu": get_gpu_state(),
|
|
"fan": get_fan_status(),
|
|
"headless_x_running": is_headless_x_running(),
|
|
"headless_display": HEADLESS_DISPLAY,
|
|
"last_result": _LAST_RESULT,
|
|
}
|
|
|
|
|
|
if __name__ == "__main__":
|
|
import sys
|
|
logging.basicConfig(level=logging.INFO)
|
|
if len(sys.argv) > 1:
|
|
print(json.dumps(apply_profile(sys.argv[1]), indent=2, default=str))
|
|
else:
|
|
print(json.dumps(get_status(), indent=2, default=str))
|