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10979b5 | 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 | #!/usr/bin/env python3
"""Check the local GmNet runtime, storage, GPU, and optional S3 access."""
from __future__ import annotations
import argparse
import importlib
import json
import os
import shutil
import subprocess
import sys
import tempfile
from pathlib import Path
from typing import Any
REQUIRED_MODULES = (
"torch",
"torchvision",
"timm",
"yaml",
"wandb",
"boto3",
"webdataset",
"numpy",
"scipy",
)
CIFAR_SOURCE = Path("/s3-code/ywang29/datasets/cifar-10/cifar-10-python.tar.gz")
CIFAR_BYTES = 170_498_071
IMAGENET_BUCKET = "snap-research-cv-code"
IMAGENET_KEY = "ywang29/datasets/imagenet-1k/imagenet-1k.tar"
IMAGENET_BYTES = 161_381_969_920
STRICT_VERSIONS = {
"torch": "2.9.0+cu130",
"torchvision": "0.24.0+cu130",
"timm": "1.0.27",
"yaml": "6.0.3",
}
def _module_version(module: Any) -> str:
return str(getattr(module, "__version__", "unknown"))
def _run(command: list[str], timeout: int = 30) -> subprocess.CompletedProcess[str]:
return subprocess.run(
command,
check=False,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
timeout=timeout,
)
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--require-cuda", action="store_true")
parser.add_argument("--min-gpus", type=int, default=0)
parser.add_argument("--check-s3", action="store_true")
parser.add_argument("--require-imagenet-space", action="store_true")
parser.add_argument("--strict-versions", action="store_true")
parser.add_argument("--min-free-bytes", type=int, default=350_000_000_000)
parser.add_argument("--json", action="store_true", dest="as_json")
return parser.parse_args()
def main() -> int:
args = parse_args()
report: dict[str, Any] = {
"ok": True,
"python": sys.version.split()[0],
"executable": sys.executable,
"modules": {},
"warnings": [],
"errors": [],
}
errors: list[str] = report["errors"]
warnings: list[str] = report["warnings"]
if sys.version_info < (3, 10):
errors.append(f"Python >=3.10 is required, found {sys.version.split()[0]}")
loaded: dict[str, Any] = {}
for module_name in REQUIRED_MODULES:
try:
module = importlib.import_module(module_name)
except Exception as error: # import-time binary errors matter here
errors.append(f"cannot import {module_name}: {error}")
else:
loaded[module_name] = module
report["modules"][module_name] = _module_version(module)
if args.strict_versions:
if sys.version_info[:2] != (3, 12):
errors.append(
f"strict environment requires Python 3.12, found {sys.version.split()[0]}"
)
for module_name, expected in STRICT_VERSIONS.items():
if module_name in loaded:
actual = _module_version(loaded[module_name])
if actual != expected:
errors.append(
f"strict environment requires {module_name}=={expected}, found {actual}"
)
torch = loaded.get("torch")
if torch is not None:
cuda_available = bool(torch.cuda.is_available())
gpu_count = int(torch.cuda.device_count()) if cuda_available else 0
report["torch_cuda"] = str(torch.version.cuda)
report["cuda_available"] = cuda_available
report["gpu_count"] = gpu_count
report["cudnn_version"] = torch.backends.cudnn.version()
if args.require_cuda and not cuda_available:
errors.append("CUDA is required but torch.cuda.is_available() is false")
if gpu_count < args.min_gpus:
errors.append(f"at least {args.min_gpus} GPUs are required, found {gpu_count}")
tmp_path = Path(os.environ.get("TMPDIR", "/tmp"))
try:
tmp_path.mkdir(parents=True, exist_ok=True)
with tempfile.NamedTemporaryFile(dir=tmp_path, prefix="gmnet-env-", delete=True) as handle:
handle.write(b"ok")
handle.flush()
usage = shutil.disk_usage(tmp_path)
report["tmp"] = {
"path": str(tmp_path.resolve()),
"free_bytes": usage.free,
"total_bytes": usage.total,
}
if args.require_imagenet_space and usage.free < args.min_free_bytes:
errors.append(
f"ImageNet staging needs {args.min_free_bytes} free bytes; {tmp_path} has {usage.free}"
)
except OSError as error:
errors.append(f"temporary directory is not writable: {tmp_path}: {error}")
aws = shutil.which("aws")
report["aws_cli"] = aws
if args.check_s3:
if aws is None:
errors.append("aws CLI was not found")
else:
identity = _run([aws, "sts", "get-caller-identity", "--output", "json"])
if identity.returncode != 0:
errors.append(f"AWS identity check failed: {identity.stderr.strip()}")
else:
try:
identity_data = json.loads(identity.stdout)
report["aws_identity"] = {
"account": identity_data.get("Account"),
"arn": identity_data.get("Arn"),
}
except json.JSONDecodeError:
warnings.append("AWS identity output was not valid JSON")
head = _run(
[
aws,
"s3api",
"head-object",
"--bucket",
IMAGENET_BUCKET,
"--key",
IMAGENET_KEY,
"--query",
"ContentLength",
"--output",
"text",
]
)
if head.returncode != 0:
errors.append(f"ImageNet S3 head-object failed: {head.stderr.strip()}")
else:
try:
remote_size = int(head.stdout.strip())
except ValueError:
errors.append(f"invalid ImageNet ContentLength: {head.stdout.strip()!r}")
else:
report["imagenet_s3_bytes"] = remote_size
if remote_size != IMAGENET_BYTES:
errors.append(
f"ImageNet archive size is {remote_size}, expected {IMAGENET_BYTES}"
)
if not CIFAR_SOURCE.is_file():
errors.append(f"CIFAR-10 S3 mount object is missing: {CIFAR_SOURCE}")
else:
cifar_size = CIFAR_SOURCE.stat().st_size
report["cifar_mount_bytes"] = cifar_size
if cifar_size != CIFAR_BYTES:
errors.append(f"CIFAR-10 archive size is {cifar_size}, expected {CIFAR_BYTES}")
report["ok"] = not errors
if args.as_json:
print(json.dumps(report, indent=2, sort_keys=True))
else:
print(f"Python: {report['python']} ({report['executable']})")
for name, version in report["modules"].items():
print(f" {name}: {version}")
if "gpu_count" in report:
print(
f"CUDA: available={report['cuda_available']} "
f"version={report['torch_cuda']} GPUs={report['gpu_count']}"
)
if "tmp" in report:
print(f"Temporary storage: {report['tmp']['path']} ({report['tmp']['free_bytes']} bytes free)")
for warning in warnings:
print(f"WARNING: {warning}", file=sys.stderr)
for error in errors:
print(f"ERROR: {error}", file=sys.stderr)
print("Environment check passed" if report["ok"] else "Environment check failed")
return 0 if report["ok"] else 1
if __name__ == "__main__":
raise SystemExit(main())
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