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2407511 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 | """Thread-safe, lazy, single-model lifecycle for ChangerEx."""
from __future__ import annotations
import os
import platform
import resource
import threading
import time
from dataclasses import asdict
from pathlib import Path
from typing import Any
import torch
from .architecture import ChangerEx, build_model, model_parameter_count
from .checkpoint import load_checkpoint_strict
from .config import PARAMETER_COUNT
from .schemas import CheckpointVerificationReport
class DeviceSelectionError(RuntimeError):
pass
class LifecycleError(RuntimeError):
pass
def _mps_is_verified() -> bool:
if not torch.backends.mps.is_built() or not torch.backends.mps.is_available():
return False
try:
test = torch.ones(1, device="mps") + 1
torch.mps.synchronize()
return float(test.cpu().item()) == 2.0
except Exception:
return False
def select_device(requested: str, *, allow_fallback: bool = False) -> tuple[str, list[str]]:
requested = requested.lower().strip()
if requested not in {"auto", "mps", "cpu"}:
raise DeviceSelectionError("device must be one of: auto, mps, cpu")
warnings: list[str] = []
if requested == "cpu":
return "cpu", warnings
if _mps_is_verified():
return "mps", warnings
if requested == "auto":
warnings.append("MPS was unavailable or failed verification; auto selected CPU.")
return "cpu", warnings
if allow_fallback:
warnings.append("Explicit MPS request could not be satisfied; CPU fallback was explicitly allowed.")
return "cpu", warnings
raise DeviceSelectionError(
"MPS was requested but is unavailable or failed verification. "
"Use --allow-device-fallback to permit CPU fallback."
)
def peak_memory_mb(device: str | None = None) -> float | None:
try:
if device == "mps" and hasattr(torch, "mps"):
return float(torch.mps.driver_allocated_memory() / (1024 * 1024))
value = float(resource.getrusage(resource.RUSAGE_SELF).ru_maxrss)
# macOS reports bytes; Linux reports KiB.
return value / (1024 * 1024) if platform.system() == "Darwin" else value / 1024
except Exception:
return None
class ChangerExLifecycle:
"""A sticky lifecycle. Failed instances are not retried in-process."""
def __init__(
self,
checkpoint_path: str | Path,
*,
device: str = "auto",
allow_device_fallback: bool = False,
) -> None:
self.checkpoint_path = str(Path(checkpoint_path).expanduser().resolve())
self.requested_device = device
self.allow_device_fallback = allow_device_fallback
self.state = "unloaded"
self.selected_device: str | None = None
self.checkpoint_verified = False
self.load_count = 0
self.reuse_count = 0
self.inference_count = 0
self.load_time = 0.0
self.last_inference_time = 0.0
self.safe_error: str | None = None
self.model_parameter_count = 0
self.warnings: list[str] = []
self.checkpoint_report: CheckpointVerificationReport | None = None
self._model: ChangerEx | None = None
self._lock = threading.RLock()
@staticmethod
def _safe_error(error: BaseException) -> str:
message = f"{type(error).__name__}: {error}".replace("\n", " ")
return message[:500]
def ensure_loaded(self) -> tuple[ChangerEx, bool]:
with self._lock:
if self.state == "ready":
self.reuse_count += 1
assert self._model is not None
return self._model, True
if self.state == "failed":
raise LifecycleError(f"ChangerEx lifecycle is in sticky failed state: {self.safe_error}")
if self.state == "loading":
raise LifecycleError("Reentrant ChangerEx loading was detected")
self.state = "loading"
started = time.perf_counter()
try:
selected, warnings = select_device(
self.requested_device, allow_fallback=self.allow_device_fallback
)
model = build_model()
report = load_checkpoint_strict(model, self.checkpoint_path)
if model_parameter_count(model) != PARAMETER_COUNT:
raise LifecycleError(
f"Architecture parameter count mismatch: expected {PARAMETER_COUNT}, "
f"received {model_parameter_count(model)}"
)
model.eval().to(device=selected, dtype=torch.float32)
self.selected_device = selected
self.warnings.extend(warnings)
self.checkpoint_report = report
self.checkpoint_verified = True
self.model_parameter_count = model_parameter_count(model)
self._model = model
self.load_count += 1
self.state = "ready"
self.load_time = time.perf_counter() - started
return model, False
except Exception as error:
self.state = "failed"
self.safe_error = self._safe_error(error)
self.load_time = time.perf_counter() - started
self._model = None
raise LifecycleError(self.safe_error) from error
def record_inference(self, elapsed: float) -> None:
with self._lock:
self.inference_count += 1
self.last_inference_time = elapsed
def status(self) -> dict[str, Any]:
with self._lock:
return {
"state": self.state,
"requested_device": self.requested_device,
"selected_device": self.selected_device,
"checkpoint_verified": self.checkpoint_verified,
"load_count": self.load_count,
"reuse_count": self.reuse_count,
"inference_count": self.inference_count,
"load_time": self.load_time,
"last_inference_time": self.last_inference_time,
"safe_error": self.safe_error,
"model_parameter_count": self.model_parameter_count,
"peak_memory_mb": peak_memory_mb(self.selected_device),
"warnings": list(self.warnings),
"checkpoint_report": asdict(self.checkpoint_report) if self.checkpoint_report else None,
}
_singleton_lock = threading.RLock()
_singleton: ChangerExLifecycle | None = None
def configure_lifecycle(
checkpoint_path: str | Path,
*,
device: str = "auto",
allow_device_fallback: bool = False,
) -> ChangerExLifecycle:
"""Configure the one process-wide lifecycle without loading it yet."""
global _singleton
resolved = str(Path(checkpoint_path).expanduser().resolve())
with _singleton_lock:
if _singleton is None:
_singleton = ChangerExLifecycle(
resolved, device=device, allow_device_fallback=allow_device_fallback
)
return _singleton
if (
_singleton.checkpoint_path != resolved
or _singleton.requested_device != device
or _singleton.allow_device_fallback != allow_device_fallback
):
raise LifecycleError(
"ChangerEx is already configured in this process; checkpoint and device are immutable"
)
return _singleton
def get_lifecycle(
*, device: str = "auto", allow_device_fallback: bool = False
) -> ChangerExLifecycle:
global _singleton
with _singleton_lock:
if _singleton is not None:
if device != "auto" and _singleton.requested_device not in {"auto", device}:
raise LifecycleError(
f"ChangerEx is configured for {_singleton.requested_device}, not {device}"
)
return _singleton
checkpoint = os.environ.get("CHANGEREX_CHECKPOINT")
if not checkpoint:
raise LifecycleError(
"ChangerEx is not configured. Call configure_lifecycle(checkpoint_path, ...) "
"or set CHANGEREX_CHECKPOINT."
)
_singleton = ChangerExLifecycle(
checkpoint, device=device, allow_device_fallback=allow_device_fallback
)
return _singleton
def _reset_lifecycle_for_tests() -> None:
"""Test-only reset; production callers must treat failure as sticky."""
global _singleton
with _singleton_lock:
_singleton = None
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