388 lines
12 KiB
Python
388 lines
12 KiB
Python
from __future__ import annotations
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import contextlib
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import contextvars
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import dataclasses
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import json
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import logging
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import os
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import threading
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import time
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import weakref
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from collections.abc import Iterator
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from typing import Any
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import torch
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_LOG = logging.getLogger(__name__)
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_LOAD_CONTEXT: contextvars.ContextVar[LoadContext | None] = contextvars.ContextVar(
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"gpu_resident_loader_load_context",
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default=None,
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)
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POLICIES = ("legacy", "balanced", "prefer_gpu", "sticky_gpu")
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KIND_MODEL = "model"
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KIND_CLIP = "clip"
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KIND_VAE = "vae"
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KIND_CHECKPOINT = "checkpoint"
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KIND_CLIP_VISION = "clip_vision"
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KIND_CONTROLNET = "controlnet"
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def _now() -> float:
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return time.time()
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@dataclasses.dataclass(slots=True)
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class LoadContext:
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kind: str
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source_path: str | None = None
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explicit_device: torch.device | None = None
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note: str | None = None
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@dataclasses.dataclass(slots=True)
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class LoadReport:
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path: str
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kind: str
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method: str
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requested_device: str
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actual_device: str
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timestamp: float = dataclasses.field(default_factory=_now)
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note: str | None = None
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error: str | None = None
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def as_dict(self) -> dict[str, Any]:
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return {
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"path": self.path,
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"kind": self.kind,
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"method": self.method,
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"requested_device": self.requested_device,
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"actual_device": self.actual_device,
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"timestamp": self.timestamp,
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"note": self.note,
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"error": self.error,
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}
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@dataclasses.dataclass(slots=True)
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class ResidencyEntry:
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entry_id: str
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kind: str
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source_path: str
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sticky: bool
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priority: int
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created_at: float = dataclasses.field(default_factory=_now)
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last_touched: float = dataclasses.field(default_factory=_now)
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loaded_bytes: int = 0
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total_bytes: int = 0
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load_device: str | None = None
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offload_device: str | None = None
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current_device: str | None = None
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last_method: str | None = None
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last_report: dict[str, Any] | None = None
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notes: list[str] = dataclasses.field(default_factory=list)
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object_ref: weakref.ReferenceType[Any] | None = None
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def is_alive(self) -> bool:
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return self.object_ref is not None and self.object_ref() is not None
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def object(self) -> Any | None:
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return None if self.object_ref is None else self.object_ref()
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def as_dict(self) -> dict[str, Any]:
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basename = os.path.basename(self.source_path) if self.source_path else None
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return {
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"entry_id": self.entry_id,
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"kind": self.kind,
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"source_path": self.source_path,
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"basename": basename,
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"sticky": self.sticky,
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"priority": self.priority,
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"created_at": self.created_at,
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"last_touched": self.last_touched,
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"loaded_bytes": self.loaded_bytes,
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"total_bytes": self.total_bytes,
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"load_device": self.load_device,
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"offload_device": self.offload_device,
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"current_device": self.current_device,
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"last_method": self.last_method,
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"last_report": self.last_report,
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"notes": list(self.notes),
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"alive": self.is_alive(),
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}
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class ResidencyRegistry:
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def __init__(self) -> None:
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self._lock = threading.RLock()
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self._entries: dict[str, ResidencyEntry] = {}
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self._reports_by_path: dict[str, LoadReport] = {}
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self._path_to_entry: dict[tuple[str, str], str] = {}
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self._policy = self._default_policy()
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def _default_policy(self) -> str:
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env_value = os.environ.get("COMFYUI_GPU_RESIDENT_POLICY", "").strip().lower()
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if env_value in POLICIES:
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return env_value
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try:
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from comfy.cli_args import args
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except Exception:
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return "prefer_gpu"
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if getattr(args, "gpu_only", False):
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return "sticky_gpu"
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if getattr(args, "highvram", False):
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return "sticky_gpu"
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return "prefer_gpu"
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def get_policy(self) -> str:
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with self._lock:
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return self._policy
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def set_policy(self, policy: str) -> str:
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normalized = str(policy).strip().lower()
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if normalized not in POLICIES:
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raise ValueError(f"Unsupported residency policy: {policy}")
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with self._lock:
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self._policy = normalized
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_LOG.info("GPU Resident Loader: policy set to %s", normalized)
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return normalized
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def wants_gpu_ingest(self, kind: str | None = None) -> bool:
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policy = self.get_policy()
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return policy in {"prefer_gpu", "sticky_gpu"}
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def wants_gpu_offload(self, kind: str | None = None) -> bool:
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policy = self.get_policy()
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return policy in {"prefer_gpu", "sticky_gpu"}
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def autopin_on_bind(self, kind: str | None = None) -> bool:
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return self.get_policy() == "sticky_gpu"
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def explicit_load_device(self, kind: str, source_path: str | None = None) -> torch.device | None:
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if not self.wants_gpu_ingest(kind):
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return None
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try:
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import comfy.model_management as model_management
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except Exception:
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return None
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dev = model_management.get_torch_device()
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if getattr(dev, "type", None) == "cpu":
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return None
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return dev
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@contextlib.contextmanager
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def load_context(
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self,
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*,
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kind: str,
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source_path: str | None = None,
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explicit_device: torch.device | None = None,
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note: str | None = None,
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) -> Iterator[None]:
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token = _LOAD_CONTEXT.set(
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LoadContext(
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kind=kind,
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source_path=source_path,
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explicit_device=explicit_device,
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note=note,
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)
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)
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try:
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yield
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finally:
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_LOAD_CONTEXT.reset(token)
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def current_context(self) -> LoadContext | None:
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return _LOAD_CONTEXT.get()
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def record_load(
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self,
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*,
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path: str,
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kind: str,
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method: str,
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requested_device: str,
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actual_device: str,
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note: str | None = None,
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error: str | None = None,
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) -> LoadReport:
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report = LoadReport(
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path=path,
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kind=kind,
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method=method,
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requested_device=requested_device,
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actual_device=actual_device,
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note=note,
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error=error,
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)
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with self._lock:
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self._reports_by_path[path] = report
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entry_id = self._path_to_entry.get((kind, path))
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if entry_id is not None:
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entry = self._entries.get(entry_id)
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if entry is not None:
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entry.last_method = method
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entry.last_report = report.as_dict()
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entry.last_touched = _now()
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entry.current_device = actual_device
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return report
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def latest_report_for_path(self, path: str | None) -> LoadReport | None:
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if not path:
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return None
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with self._lock:
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return self._reports_by_path.get(path)
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def _make_entry_id(self, kind: str, source_path: str) -> str:
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basename = os.path.basename(source_path) or "anonymous"
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return f"{kind}:{basename}:{len(self._entries) + 1}"
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def bind_object(
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self,
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obj: Any,
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*,
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source_path: str,
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kind: str,
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sticky: bool | None = None,
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priority: int = 0,
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note: str | None = None,
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) -> ResidencyEntry:
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if obj is None:
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raise ValueError("Cannot bind None into residency registry")
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with self._lock:
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entry_id = getattr(obj, "__gpu_resident_loader_entry_id__", None)
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if entry_id is not None and entry_id in self._entries:
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entry = self._entries[entry_id]
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else:
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entry_id = self._make_entry_id(kind, source_path)
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entry = ResidencyEntry(
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entry_id=entry_id,
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kind=kind,
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source_path=source_path,
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sticky=self.autopin_on_bind(kind) if sticky is None else bool(sticky),
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priority=int(priority),
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)
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self._entries[entry_id] = entry
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self._path_to_entry[(kind, source_path)] = entry_id
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try:
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setattr(obj, "__gpu_resident_loader_entry_id__", entry_id)
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except Exception:
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pass
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entry.object_ref = weakref.ref(obj)
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entry.sticky = entry.sticky if sticky is None else bool(sticky)
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entry.priority = int(priority)
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entry.source_path = source_path
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entry.kind = kind
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entry.last_touched = _now()
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if note:
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entry.notes.append(note)
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report = self._reports_by_path.get(source_path)
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if report is not None:
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entry.last_method = report.method
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entry.last_report = report.as_dict()
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entry.current_device = report.actual_device
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self.refresh_runtime_state()
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return entry
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def entry_for_object(self, obj: Any) -> ResidencyEntry | None:
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if obj is None:
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return None
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entry_id = getattr(obj, "__gpu_resident_loader_entry_id__", None)
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if entry_id is None:
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return None
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with self._lock:
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return self._entries.get(entry_id)
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def set_sticky(self, obj: Any, sticky: bool, priority: int | None = None) -> ResidencyEntry | None:
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entry = self.entry_for_object(obj)
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if entry is None:
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return None
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with self._lock:
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entry.sticky = bool(sticky)
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if priority is not None:
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entry.priority = int(priority)
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entry.last_touched = _now()
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return entry
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def touch(self, obj: Any) -> None:
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entry = self.entry_for_object(obj)
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if entry is None:
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return
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with self._lock:
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entry.last_touched = _now()
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def sticky_loaded_wrappers(self, device: torch.device | None) -> list[Any]:
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try:
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import comfy.model_management as model_management
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except Exception:
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return []
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output: list[Any] = []
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with self._lock:
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for loaded in list(model_management.current_loaded_models):
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if device is not None and loaded.device != device:
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continue
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entry = self.entry_for_object(loaded.model)
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if entry is not None and entry.sticky:
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output.append(loaded)
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return output
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def refresh_runtime_state(self) -> None:
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try:
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import comfy.model_management as model_management
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except Exception:
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return
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with self._lock:
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for entry in self._entries.values():
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if not entry.is_alive():
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continue
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obj = entry.object()
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if obj is None:
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continue
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load_device = getattr(obj, "load_device", None)
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offload_device = getattr(obj, "offload_device", None)
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if load_device is not None:
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entry.load_device = str(load_device)
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if offload_device is not None:
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entry.offload_device = str(offload_device)
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for loaded in list(model_management.current_loaded_models):
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entry = self.entry_for_object(loaded.model)
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if entry is None:
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continue
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entry.loaded_bytes = int(loaded.model_loaded_memory())
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entry.total_bytes = int(loaded.model_memory())
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entry.current_device = str(loaded.device)
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entry.last_touched = _now()
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def snapshot(self) -> list[dict[str, Any]]:
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self.refresh_runtime_state()
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with self._lock:
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items = [entry.as_dict() for entry in self._entries.values()]
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items.sort(
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key=lambda item: (
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not item["sticky"],
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item["kind"],
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item["basename"] or "",
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)
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)
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return items
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def snapshot_json(self) -> str:
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payload = {
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"policy": self.get_policy(),
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"entries": self.snapshot(),
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}
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return json.dumps(payload, indent=2, sort_keys=True)
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REGISTRY = ResidencyRegistry()
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