HAKO upload: hako/memory_manager.py
Browse files- hako/memory_manager.py +121 -0
hako/memory_manager.py
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"""Aggressive memory & storage management for HAKO.
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Proposition P-MEM (bounded-resource operation). If every phase satisfies
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(i) RSS(t) <= ram_soft_cap for all t (enforced by watchdog degrade),
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(ii) disk blobs not referenced by decomposed artifacts are deleted,
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(iii) telemetry/checkpoints are size-capped and compressed,
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then the pipeline operates indefinitely within a fixed resource envelope.
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Proof sketch: (i) bounds the state space of the resident set by construction
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(degrade-or-abort policy with monotone batch reduction); (ii) makes total disk
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usage a sum of compressed artifacts (monotone, bounded by artifact budget);
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(iii) bounds every log by its cap. Induction over phases completes the bound.
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"""
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from __future__ import annotations
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import gc
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import logging
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import os
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import shutil
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import time
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from pathlib import Path
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from typing import Iterable
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import psutil
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log = logging.getLogger("hako.mem")
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class MemoryManager:
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def __init__(self, cfg) -> None:
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self.cfg = cfg
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vm = psutil.virtual_memory()
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self.ram_soft_cap = int(cfg.ram_soft_cap_ratio * vm.total)
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self._last_report = 0.0
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# ------------------------------------------------------------------ ram
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def rss(self) -> int:
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return psutil.Process(os.getpid()).memory_info().rss
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def pressure(self) -> float:
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"""RSS pressure in [0, 1+] relative to the soft cap."""
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return self.rss() / max(1, self.ram_soft_cap)
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def check(self, degrade_hooks: Iterable | None = None) -> str:
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"""Watchdog: returns 'ok' | 'degraded'. Calls hooks to shrink state."""
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p = self.pressure()
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if p < 0.85:
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return "ok"
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gc.collect()
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if p < 1.0:
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return "ok"
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action = "degraded"
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for hook in degrade_hooks or []:
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try:
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hook()
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except Exception as exc: # pragma: no cover - defensive
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log.warning("degrade hook failed: %s", exc)
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gc.collect()
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if self.pressure() > 1.05:
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raise MemoryError(
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f"RSS {self.rss()/2**30:.2f}GiB exceeded soft cap "
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f"{self.ram_soft_cap/2**30:.2f}GiB after degradation")
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return action
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def report(self, tag: str = "") -> None:
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now = time.time()
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if now - self._last_report < 15:
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return
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self._last_report = now
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vm = psutil.virtual_memory()
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log.info("mem[%s] rss=%.2fGiB cap=%.2fGiB sys_avail=%.2fGiB",
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tag, self.rss() / 2**30, self.ram_soft_cap / 2**30,
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vm.available / 2**30)
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# ----------------------------------------------------------------- disk
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def disk_free(self) -> int:
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return psutil.disk_usage("/").free
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def ensure_disk(self, need_bytes: int) -> None:
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if self.disk_free() >= max(need_bytes, self.cfg.disk_min_free_bytes):
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return
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freed = self.sweep_caches()
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log.info("disk sweep freed %.2f MiB", freed / 2**20)
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if self.disk_free() < max(need_bytes, self.cfg.disk_min_free_bytes):
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raise OSError("disk exhausted even after cache sweep")
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def sweep_caches(self) -> int:
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"""Delete HF hub blobs and work leftovers that have decomposed twins."""
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freed = 0
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hf_blob_dirs = [
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Path(self.cfg.hf_cache) / "hub",
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]
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for base in hf_blob_dirs:
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if not base.exists():
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continue
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for model_dir in base.iterdir():
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marker = Path(self.cfg.artifacts_dir) / (
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model_dir.name.replace("models--", "") + ".decomposed.json")
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if marker.exists():
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# decomposed copy exists -> raw weights are expendable
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size = sum(f.stat().st_size for f in model_dir.rglob("*")
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if f.is_file())
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shutil.rmtree(model_dir, ignore_errors=True)
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freed += size
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gc.collect()
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return freed
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@staticmethod
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def cap_file_size(path: Path, max_bytes: int, trim_head: bool = True) -> None:
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"""Keep a log under max_bytes by trimming the oldest half (JSONL-safe)."""
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p = Path(path)
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if not p.exists() or p.stat().st_size <= max_bytes:
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return
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lines = p.read_text(encoding="utf-8", errors="ignore").splitlines(keepends=True)
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keep = lines[len(lines) // 2:] if trim_head else lines[:len(lines) // 2]
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tmp = p.with_suffix(p.suffix + ".tmp")
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tmp.write_text("".join(keep), encoding="utf-8")
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tmp.replace(p)
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@staticmethod
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def rm_tree_quiet(path: Path) -> None:
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shutil.rmtree(path, ignore_errors=True)
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