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34f3bc9 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 | """Retry helpers for transient shared-storage I/O failures.
The training cluster reads data and writes checkpoints through shared
storage. Short storage hiccups surface as ``EIO``/``ESTALE`` or
transport-related exceptions inside DataLoader workers. If those exceptions
escape the worker, PyTorch tears down the worker and distributed training dies.
These helpers retry only errors that look transient. Permanent data problems
still fail loudly.
"""
from __future__ import annotations
import errno
import logging
import os
import random
import time
from pathlib import Path
from typing import Callable, ParamSpec, TypeVar
P = ParamSpec("P")
T = TypeVar("T")
logger = logging.getLogger(__name__)
_TRANSIENT_ERRNOS = {
errno.EIO,
errno.ESTALE,
errno.ENOTCONN,
errno.ETIMEDOUT,
errno.ECONNRESET,
errno.ECONNABORTED,
errno.EHOSTDOWN,
errno.EHOSTUNREACH,
errno.ENETDOWN,
errno.ENETUNREACH,
errno.EAGAIN,
errno.EBUSY,
errno.EINTR,
}
_TRANSIENT_MESSAGE_FRAGMENTS = (
"input/output error",
"errno 5",
"stale file handle",
"transport endpoint is not connected",
"connection reset by peer",
"connection timed out",
"resource temporarily unavailable",
"remote i/o error",
"network is down",
"network is unreachable",
"no route to host",
"software caused connection abort",
)
_FATAL_DIAG_ERRNOS = {
errno.ENOSPC: "disk full",
getattr(errno, "EDQUOT", -1): "quota exceeded",
errno.EROFS: "read-only filesystem",
}
_FATAL_DIAG_ERRNOS.pop(-1, None)
def _env_bool(name: str, default: bool) -> bool:
raw = os.environ.get(name)
if raw is None:
return default
return raw.strip().lower() not in {"0", "false", "no", "off"}
def _env_float(name: str, default: float) -> float:
raw = os.environ.get(name)
if raw is None or raw == "":
return default
try:
return float(raw)
except ValueError:
logger.warning("Invalid %s=%r; using default %.1f", name, raw, default)
return default
def storage_retry_enabled() -> bool:
return _env_bool("LABVLA_STORAGE_RETRY_ENABLE", True)
def default_total_seconds() -> float:
return max(0.0, _env_float("LABVLA_STORAGE_RETRY_TOTAL_SECONDS", 1800.0))
def default_initial_sleep_seconds() -> float:
return max(0.01, _env_float("LABVLA_STORAGE_RETRY_INITIAL_SLEEP", 1.0))
def default_max_sleep_seconds() -> float:
return max(0.05, _env_float("LABVLA_STORAGE_RETRY_MAX_SLEEP", 30.0))
def default_not_found_seconds() -> float:
return max(0.0, _env_float("LABVLA_STORAGE_RETRY_NOT_FOUND_SECONDS", 0.0))
def _walk_exception_chain(exc: BaseException):
seen: set[int] = set()
current: BaseException | None = exc
while current is not None and id(current) not in seen:
seen.add(id(current))
yield current
current = current.__cause__ or current.__context__
def _is_not_found(exc: BaseException) -> bool:
return any(isinstance(item, FileNotFoundError) for item in _walk_exception_chain(exc))
def is_transient_storage_error(
exc: BaseException,
*,
retry_not_found: bool = False,
) -> bool:
"""Return whether ``exc`` looks like a recoverable shared-storage hiccup."""
if retry_not_found and _is_not_found(exc):
return True
for item in _walk_exception_chain(exc):
# Only OSError-family exceptions are eligible: storage hiccups always
# surface as OSError, and gating the message-fragment fallback here
# stops an arbitrary error whose text happens to match from being
# retried for the full budget.
if isinstance(item, OSError):
if item.errno in _TRANSIENT_ERRNOS:
return True
message = str(item).lower()
if any(fragment in message for fragment in _TRANSIENT_MESSAGE_FRAGMENTS):
return True
return False
def _fatal_storage_diagnostic(exc: BaseException) -> tuple[int, str] | None:
for item in _walk_exception_chain(exc):
if isinstance(item, OSError) and item.errno in _FATAL_DIAG_ERRNOS:
errno_value = int(item.errno)
return errno_value, _FATAL_DIAG_ERRNOS[errno_value]
return None
def _retry_budget_seconds(
exc: BaseException,
*,
retry_not_found: bool,
total_seconds: float,
not_found_seconds: float,
) -> float:
if _is_not_found(exc) and retry_not_found:
return min(total_seconds, not_found_seconds)
return total_seconds
def run_with_storage_retry(
fn: Callable[P, T],
*args: P.args,
path: str | os.PathLike | None = None,
description: str = "storage I/O",
retry_not_found: bool = False,
total_seconds: float | None = None,
initial_sleep_seconds: float | None = None,
max_sleep_seconds: float | None = None,
not_found_seconds: float | None = None,
on_retry: Callable[[BaseException, int], None] | None = None,
**kwargs: P.kwargs,
) -> T:
"""Run ``fn`` and retry transient storage failures in-place.
The same callable is retried with the same arguments; callers should use
this only around deterministic file I/O, before random augmentation or loss
construction.
"""
if not storage_retry_enabled():
return fn(*args, **kwargs)
total = default_total_seconds() if total_seconds is None else float(total_seconds)
initial_sleep = (
default_initial_sleep_seconds()
if initial_sleep_seconds is None
else float(initial_sleep_seconds)
)
max_sleep = (
default_max_sleep_seconds()
if max_sleep_seconds is None
else float(max_sleep_seconds)
)
not_found_budget = (
default_not_found_seconds()
if not_found_seconds is None
else float(not_found_seconds)
)
started_at = time.monotonic()
attempt = 0
sleep_s = max(0.01, initial_sleep)
target = str(path) if path is not None else "<unknown>"
while True:
try:
return fn(*args, **kwargs)
except (KeyboardInterrupt, SystemExit, GeneratorExit):
# Never swallow control-flow exceptions into the retry loop.
raise
except Exception as exc:
fatal = _fatal_storage_diagnostic(exc)
if fatal is not None:
errno_value, label = fatal
logger.error(
"%s fatal storage error for %s: %s (errno=%d). "
"Not retrying; operator intervention required. error=%r",
description,
target,
label,
errno_value,
exc,
)
raise
if not is_transient_storage_error(exc, retry_not_found=retry_not_found):
raise
budget = _retry_budget_seconds(
exc,
retry_not_found=retry_not_found,
total_seconds=total,
not_found_seconds=not_found_budget,
)
elapsed = time.monotonic() - started_at
if elapsed >= budget:
logger.error(
"%s failed after %.1fs and %d retries for %s: %r",
description,
elapsed,
attempt,
target,
exc,
)
raise
attempt += 1
if on_retry is not None:
try:
on_retry(exc, attempt)
except Exception as callback_error:
logger.warning("storage retry callback failed: %r", callback_error)
remaining = max(0.0, budget - elapsed)
wait_s = min(max_sleep, sleep_s, remaining)
wait_s *= random.uniform(0.85, 1.15)
if attempt == 1 or attempt % 5 == 0:
logger.warning(
"%s transient failure for %s; retry=%d elapsed=%.1fs "
"sleep=%.1fs budget=%.1fs error=%r",
description,
target,
attempt,
elapsed,
wait_s,
budget,
exc,
)
time.sleep(max(0.01, wait_s))
sleep_s = min(max_sleep, max(initial_sleep, sleep_s * 2.0))
def storage_path_exists(path: str | os.PathLike) -> bool:
"""Like ``Path.exists`` but does not swallow transient storage errors."""
target = Path(path)
try:
run_with_storage_retry(target.stat, path=target, description="stat")
return True
except FileNotFoundError:
return False
def read_parquet_with_storage_retry(path: str | os.PathLike, **kwargs):
import pandas as pd
return run_with_storage_retry(
pd.read_parquet,
path,
path=path,
description="read_parquet",
**kwargs,
)
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