Backup / gmnet /spectral_audit /scripts /static_check.py
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#!/usr/bin/env python3
"""Static contract checks for the E4 spectral-audit deployment package."""
from __future__ import annotations
import argparse
import hashlib
import json
from pathlib import Path
import yaml
AUDIT_ROOT = Path("/nfs/ywang29/GmNet/e4_spectral_audit")
LONG_LIVE_INIT = Path("/nfs/ywang29/LongLive/scripts/init_run.sh")
TEMPLATE = Path("/nfs/ywang29/LongLive/deploy/jul11_vgp/j11_vgp01_base.yaml")
WRAPPER = AUDIT_ROOT / "scripts" / "run_parallel_5arms.sh"
GENERATOR = AUDIT_ROOT / "scripts" / "generate_deploy.py"
MANIFEST = AUDIT_ROOT / "input_manifest.json"
DEPLOY = Path(
"/nfs/ywang29/GmNet/depoly/e4_imagenet_spectral_20260718/"
"e4_matched_spectral_5arms_seed0.yaml"
)
EXPECTED_TEMPLATE_SHA256 = "1c84a6a1219bbd6a68c73aa673912d8154065f020083581089b5b615fd1459a9"
EXPECTED_PROTOCOL_SHA256 = "b66f0aa2f620135584483fb0057fe6fec9a55b4b501b08fd26065034a892b4a2"
EXPECTED_INPUT_MANIFEST_SHA256 = "8b32da7c33f6b578dd2b5359d727afe313462be0c0040212a2640755ad2fadf7"
EXPECTED_AUDIT_RUNTIME_CODE_SHA256 = "f6bd434a2ac86c772f2e23683431f3bb7ccb06f539558682a3bea6464bacebf9"
EXPECTED_ALIGNMENT_TRAINING_CODE_SHA256 = "4a62bc48370247d882196cd9afc1a0f1629a5bbfd522c3f599ffaf0c1187641f"
RESOURCE_KEYS = (
"gpu_type",
"gpu_num",
"gpu_memory",
"cpu_num",
"memory",
"efa",
"priority",
"pytorchjob",
"custom_node_labels",
"volcano_queue",
"project_name",
"project_support_alias",
"team",
"cost_team",
"cost_feature",
"cost_sub_feature",
"docker_image",
"mount",
)
def require(condition: bool, message: str) -> None:
if not condition:
raise RuntimeError(message)
def sha256(path: Path) -> str:
return hashlib.sha256(path.read_bytes()).hexdigest()
def export_block(path: Path) -> str:
lines = path.read_text(encoding="utf-8").splitlines()
start = lines.index("export TORCH_NCCL_HEARTBEAT_TIMEOUT_SEC=1800")
end = lines.index("export LD_LIBRARY_PATH=", start)
return "\n".join(lines[start : end + 1])
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--require-generated", action="store_true")
args = parser.parse_args()
require(sha256(TEMPLATE) == EXPECTED_TEMPLATE_SHA256, "LongLive YAML template hash changed")
require(export_block(WRAPPER) == export_block(LONG_LIVE_INIT), "LongLive export block is not exact")
require(sha256(MANIFEST) == EXPECTED_INPUT_MANIFEST_SHA256, "input manifest changed")
manifest = json.loads(MANIFEST.read_text(encoding="utf-8"))
require(manifest["protocol_id"] == "gmnet-e4-imagenet-matched-spectral-v1", "protocol ID changed")
protocol_path = Path(manifest["protocol"]["path"])
require(manifest["protocol"]["sha256"] == EXPECTED_PROTOCOL_SHA256, "protocol hash registration changed")
require(sha256(protocol_path) == EXPECTED_PROTOCOL_SHA256, "frozen protocol file changed")
runtime = manifest["runtime"]
require(runtime["torch"] == "2.9.0+cu130", "runtime must use official torch 2.9.0+cu130")
require(runtime["torchvision"] == "0.24.0+cu130", "runtime must use official torchvision 0.24.0+cu130")
require(runtime["gpus_requested"] == 8, "deployment must request eight GPUs")
require(runtime["canonical_arms"] == 5, "deployment must run five canonical arms")
require(runtime["parallel_tasks"] == 8, "deployment must run eight parallel tasks")
require(runtime["canonical_batch_size"] == 256, "canonical batch must be 256")
require(runtime["max_eval_samples"] == 50000, "all low-pass conditions must use 50,000 images")
require(runtime["spectral_samples"] == 4096, "block spectral subset must contain 4,096 images")
require(runtime["lowpass_cutoffs"] == [0.125, 0.25, 0.5, 0.75], "cutoff grid changed")
require(
{probe["task_id"] for probe in manifest["order_probes"]}
== {"D_order1", "D_order2", "B_order1"},
"order-probe set changed",
)
require({probe["gpu"] for probe in manifest["order_probes"]} == {5, 6, 7}, "probe GPU assignment changed")
require(manifest["order_encoding"]["index_encoding"] == "exactly 8 unsigned little-endian bytes", "order encoding changed")
require(manifest["spectral_subset"]["num_samples"] == 4096, "subset size changed")
require(manifest["spectral_subset"]["expected_class_histogram"] == {"classes_with_4": 904, "classes_with_5": 96}, "subset class balance changed")
require(manifest["lowpass"]["unfiltered_condition"] == "true transform bypass", "unfiltered condition is not a bypass")
require({item["arm"] for item in manifest["arms"]} == {"B", "D", "S", "C", "SC"}, "arm set changed")
require(
manifest["code_provenance"]["audit_runtime_code_sha256"]
== EXPECTED_AUDIT_RUNTIME_CODE_SHA256,
"audit runtime code identity changed",
)
require(
manifest["code_provenance"]["alignment_training_code_sha256"]
== EXPECTED_ALIGNMENT_TRAINING_CODE_SHA256,
"alignment training code identity changed",
)
aggregator_self_test = (
f"/tmp/gmnet_venv/bin/python {AUDIT_ROOT}/scripts/aggregate_and_validate.py --self-test"
)
generator = GENERATOR.read_text(encoding="utf-8")
require(
'f"/tmp/gmnet_venv/bin/python {AUDIT_ROOT}/scripts/aggregate_and_validate.py --self-test && "'
in generator,
"deploy generator does not register the aggregator self-test",
)
require(
'f"/tmp/gmnet_venv/bin/python {AUDIT_ROOT}/scripts/static_check.py --require-generated && "'
in generator,
"deploy generator does not register the runtime static check",
)
wrapper = WRAPPER.read_text(encoding="utf-8")
required_literals = (
"readonly BATCH_SIZE=256",
"readonly WORKERS_PER_ARM=8",
"readonly MAX_EVAL_SAMPLES=50000",
"readonly SPECTRAL_SAMPLES=4096",
'readonly LOWPASS_CUTOFFS="0.125,0.25,0.5,0.75"',
'readonly EXPECTED_INPUT_MANIFEST_SHA256="8b32da7c33f6b578dd2b5359d727afe313462be0c0040212a2640755ad2fadf7"',
'--max-eval-samples "${MAX_EVAL_SAMPLES}"',
'--spectral-samples "${SPECTRAL_SAMPLES}"',
'--lowpass-cutoffs "${LOWPASS_CUTOFFS}"',
'--order "${order}"',
'--conditions "${conditions}"',
'--input-manifest "${MANIFEST_PATH}"',
'export CONTAINER_IMAGE="763104351884.dkr.ecr.us-west-2.amazonaws.com/pytorch-training:2.9.0-gpu-py312-cu130-ubuntu22.04-ec2"',
'--subset-manifest "${SHARED_SUBSET_MANIFEST}"',
'subset["artifact_path"]',
'subset["sha256"]',
'--task-id "${task_id}"',
'if [[ "${#TASK_ROWS[@]}" != 8 ]]',
'B:0|D:1|S:2|C:3|SC:4|D_order1:5|D_order2:6|B_order1:7',
'"${PYTHON}" "${AGGREGATOR}"',
'--root "${WORK_ROOT}"',
'--input-manifest "${MANIFEST_PATH}"',
'--runner "${SPECTRAL_RUNNER}"',
)
for literal in required_literals:
require(literal in wrapper, f"wrapper contract missing: {literal}")
require(
wrapper.count('"${PYTHON}" "${AGGREGATOR}"') == 2,
"wrapper must run the aggregator once and then re-open it in check-only mode",
)
for literal in (
'aggregate_and_validate_check_only.log',
'results.get("formal_complete") is True',
'results.get("order_audit_complete") is True',
'isinstance(results.get("claim_decision"), dict)',
'validation.get("status") == "passed"',
'"protocol.json"',
'"frozen_protocol.md"',
'"input_manifest.json"',
'"environment.json"',
'"checkpoint_manifest.json"',
'"subset_manifest.jsonl"',
'"accuracy_bootstrap.csv"',
'"order_probe_accuracy.csv"',
'"order_probe_spectral_by_block.csv"',
'"d_order_sensitivity_by_block.csv"',
'"raw_amplitude_by_block.csv"',
'"gate_operating_diagnostics.csv"',
'"coherence_by_block.csv"',
'"transfer_bootstrap_by_block.csv"',
'"figures/accuracy_lowpass.svg"',
'"figures/mixing_depth_profile.svg"',
'"figures/spectral_stage_profile.svg"',
'"figures/coherence_depth_profile.svg"',
'"figures/transfer_heatmaps.svg"',
'"figures/accuracy_mixing_raw.svg"',
'source_hashes.get("runner_sha256")',
'source_hashes.get("aggregator_sha256")',
'source_hashes.get("input_manifest_sha256")',
'Runner changed after aggregate check-only',
'Aggregator changed after aggregate check-only',
'Input manifest changed after aggregate check-only',
'temporary.write_text("complete\\n", encoding="ascii")',
'os.replace(temporary, root / "COMPLETE")',
):
require(literal in wrapper, f"wrapper completion gate missing: {literal}")
require(
wrapper.index('aggregate_and_validate_check_only.log')
< wrapper.index('temporary.write_text("complete\\n", encoding="ascii")')
< wrapper.index('mv "${WORK_ROOT}" "${OUTPUT_ROOT}"'),
"root COMPLETE must follow aggregate check-only and precede the atomic directory move",
)
if args.require_generated:
require(DEPLOY.is_file(), f"generated YAML missing: {DEPLOY}")
source = yaml.safe_load(TEMPLATE.read_text(encoding="utf-8"))
deploy = yaml.safe_load(DEPLOY.read_text(encoding="utf-8"))
for key in RESOURCE_KEYS:
require(deploy.get(key) == source.get(key), f"template field changed: {key}")
pre_run_event = deploy["script"]["pre_run_event"]
require(
aggregator_self_test in pre_run_event,
"deploy pre_run_event does not run the aggregator self-test",
)
require(
pre_run_event.index("aggregate_and_validate.py --self-test")
< pre_run_event.index("stage_imagenet.sh full"),
"aggregator self-test must run before ImageNet staging",
)
require("launchjob" not in pre_run_event, "deploy pre_run_event must not submit launchjob")
command = deploy["script"]["command"]
require("run_parallel_5arms.sh" in command, "deploy command does not use the formal wrapper")
require("launchjob" not in command, "generator must not submit launchjob")
print("E4 spectral deployment static checks passed")
if __name__ == "__main__":
main()