ONNX
onnxruntime
onnx-mlir
quantization
fp32
File size: 16,425 Bytes
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#!/usr/bin/env python3
"""Run independent, resumable stages for one registered model pair."""

from __future__ import annotations

import argparse
import json
import os
import subprocess
import sys
import traceback
from copy import deepcopy
from pathlib import Path
from typing import Any

from pipeline_common import (
    REPO_ROOT,
    atomic_write_json,
    basic_validate_config,
    canonical_json_sha256,
    expand,
    file_record,
    load_json,
    resolve_path,
    run_id,
    safe_slug,
    shell_join,
    tool_versions,
    utc_now,
)


def parse_args(argv: list[str] | None = None) -> argparse.Namespace:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--config", required=True, type=Path)
    parser.add_argument("--stage", action="append", dest="stages", help="stage id to run; repeatable")
    parser.add_argument("--dry-run", action="store_true", help="record resolved commands without executing them")
    parser.add_argument("--force", action="store_true", help="rerun a matching successful stage")
    parser.add_argument(
        "--resume-failed",
        action="store_true",
        help="run failed/blocked/missing stages and reuse matching successful stages",
    )
    parser.add_argument("--result-out", type=Path, help="override aggregate result path")
    return parser.parse_args(argv)


def load_and_validate(config_path: Path) -> tuple[dict[str, Any], str]:
    config = load_json(config_path)
    errors = basic_validate_config(config)
    try:
        import jsonschema  # type: ignore

        schema = load_json(REPO_ROOT / "schemas" / "model_config.schema.json")
        validator = jsonschema.Draft202012Validator(schema)
        errors.extend(error.message for error in validator.iter_errors(config))
    except ImportError:
        pass
    if errors:
        raise ValueError("invalid model configuration:\n- " + "\n- ".join(sorted(set(errors))))
    return config, canonical_json_sha256(config)


def read_previous(stage_root: Path) -> dict[str, Any] | None:
    latest = stage_root / "latest_result.json"
    if not latest.is_file():
        return None
    try:
        value = load_json(latest)
        return value if isinstance(value, dict) else None
    except (OSError, json.JSONDecodeError):
        return None


def same_inputs(previous: dict[str, Any], current: list[dict[str, Any]]) -> bool:
    def signature(records: list[dict[str, Any]]) -> list[tuple[str, bool, str | None, int | None]]:
        return [(r["path"], r["exists"], r["sha256"], r["bytes"]) for r in records]

    return signature(previous.get("inputs", [])) == signature(current)


def stage_config_sha256(config: dict[str, Any], stage: dict[str, Any]) -> str:
    variant = stage["variant"]
    artifact = config["artifacts"].get(variant) if variant in {"fp32", "public_quantized"} else None
    return canonical_json_sha256({
        "schema_version": config["schema_version"],
        "model_id": config["model"]["model_id"],
        "random_seed": config["model"].get("random_seed", 0),
        "artifact": artifact,
        "stage": stage,
    })


def previous_stage_matches(
    previous: dict[str, Any] | None, stage_sha: str, argv: list[str], stage: dict[str, Any]
) -> bool:
    if previous is None:
        return False
    if previous.get("stage_config_sha256") == stage_sha:
        return True
    # Migration path for T00 results written before stage-level hashes existed.
    return (
        "stage_config_sha256" not in previous
        and previous.get("stage_id") == stage["id"]
        and previous.get("stage") == stage["stage"]
        and previous.get("variant") == stage["variant"]
        and previous.get("command_argv") == argv
        and previous.get("options", {}) == stage.get("options", {})
        and previous.get("patch") == stage.get("patch")
    )


def summarize_error(stderr_path: Path, exception_text: str = "") -> str:
    text = exception_text
    if stderr_path.is_file():
        try:
            lines = stderr_path.read_text(encoding="utf-8", errors="replace").splitlines()
            if lines:
                text = "\n".join(lines[-20:])
        except OSError:
            pass
    return text[-4000:]


def load_validation_report(path: Path | None) -> dict[str, Any]:
    if path is None:
        return {}
    if not path.is_file():
        return {"validation_report_exists": False, "validation_report_path": str(path)}
    try:
        value = load_json(path)
    except (OSError, json.JSONDecodeError) as error:
        return {
            "validation_report_exists": True,
            "validation_report_path": str(path),
            "validation_report_parse_error": str(error),
        }
    return {
        "validation_report_exists": True,
        "validation_report_path": str(path),
        "stage_report": value,
    }


def make_result_base(
    config: dict[str, Any], stage: dict[str, Any], stage_id: str, config_sha: str,
    stage_sha: str,
    argv: list[str], cwd: Path, inputs: list[dict[str, Any]], stdout_path: Path,
    stderr_path: Path,
) -> dict[str, Any]:
    variant = stage["variant"]
    artifact = config["artifacts"].get(variant, {}) if variant in {"fp32", "public_quantized"} else {}
    return {
        "model_id": config["model"]["model_id"],
        "artifact_id": stage.get("artifact_id", artifact.get("artifact_id", f"{config['model']['model_id']}-{variant}")),
        "variant": variant,
        "stage": stage["stage"],
        "stage_id": stage_id,
        "status": "RUNNING",
        "failure_code": None,
        "source_artifact": artifact.get("local_path"),
        "source_checksum": artifact.get("sha256"),
        "artifact": None,
        "command": shell_join(argv),
        "command_argv": argv,
        "working_directory": str(cwd),
        "inputs": inputs,
        "outputs": [],
        "tool_versions": tool_versions(),
        "options": stage.get("options", {}),
        "random_seed": config["model"].get("random_seed", 0),
        "started_at": utc_now(),
        "ended_at": utc_now(),
        "duration_sec": 0.0,
        "exit_code": None,
        "error_summary": "",
        "stdout_log": str(stdout_path),
        "stderr_log": str(stderr_path),
        "patch": stage.get("patch"),
        "validation": {},
        "config_sha256": config_sha,
        "stage_config_sha256": stage_sha,
        "reused_from_previous_run": False,
    }


def run_stage(
    config: dict[str, Any], stage: dict[str, Any], variables: dict[str, str],
    config_sha: str, current_run_id: str, dry_run: bool, force: bool,
    selected_ids: set[str] | None, statuses: dict[str, str],
) -> dict[str, Any]:
    stage_id = stage["id"]
    stage_root = Path(variables["model_dir"]) / "logs" / stage_id
    invocation_dir = stage_root / current_run_id
    invocation_dir.mkdir(parents=True, exist_ok=True)
    stdout_path = invocation_dir / "stdout.log"
    stderr_path = invocation_dir / "stderr.log"
    cwd = resolve_path(stage.get("working_directory", "{repo_root}"), variables)
    argv = [expand(str(part), variables) for part in stage["command"]]
    inputs = [file_record(resolve_path(value, variables, cwd)) for value in stage.get("inputs", [])]
    outputs_paths = [resolve_path(value, variables, cwd) for value in stage.get("outputs", [])]
    previous = read_previous(stage_root)
    stage_sha = stage_config_sha256(config, stage)
    result = make_result_base(config, stage, stage_id, config_sha, stage_sha, argv, cwd, inputs, stdout_path, stderr_path)

    if selected_ids is not None and stage_id not in selected_ids:
        if previous is not None:
            reused = deepcopy(previous)
            reused["reused_result_config_sha256"] = previous.get("config_sha256")
            reused["config_sha256"] = config_sha
            reused["stage_config_sha256"] = stage_sha
            reused["reused_from_previous_run"] = True
            atomic_write_json(invocation_dir / "run_result.json", reused)
            atomic_write_json(stage_root / "latest_result.json", reused)
            return reused
        result.update(status="SKIPPED", ended_at=utc_now(), error_summary="stage not selected")
        return result

    dependencies = stage.get("requires", [])
    dependency_success = {"PASS", "PASS_WITH_PATCH", "QUEUED"} if dry_run else {"PASS", "PASS_WITH_PATCH"}
    unavailable = [dependency for dependency in dependencies if statuses.get(dependency) not in dependency_success]
    if unavailable:
        result.update(
            status="BLOCKED",
            failure_code=stage["failure_code_on_error"],
            ended_at=utc_now(),
            error_summary=f"required stages not successful: {', '.join(unavailable)}",
            validation={"dependencies_satisfied": False, "unavailable_dependencies": unavailable},
        )
        atomic_write_json(invocation_dir / "run_result.json", result)
        atomic_write_json(stage_root / "latest_result.json", result)
        return result

    if dry_run:
        result.update(
            status="QUEUED",
            ended_at=utc_now(),
            validation={"dry_run": True, "resolved_outputs": [str(path) for path in outputs_paths]},
        )
        atomic_write_json(invocation_dir / "run_result.json", result)
        return result

    if (
        not force and previous is not None
        and previous.get("status") in {"PASS", "PASS_WITH_PATCH"}
        and previous_stage_matches(previous, stage_sha, argv, stage)
        and same_inputs(previous, inputs)
        and all(record["exists"] for record in previous.get("outputs", []))
    ):
        reused = deepcopy(previous)
        reused["reused_result_config_sha256"] = previous.get("config_sha256")
        reused["config_sha256"] = config_sha
        reused["stage_config_sha256"] = stage_sha
        reused["reused_from_previous_run"] = True
        atomic_write_json(invocation_dir / "run_result.json", reused)
        atomic_write_json(stage_root / "latest_result.json", reused)
        return reused

    conflicting_outputs = [path for path in outputs_paths if path.exists()]
    previous_matches = previous_stage_matches(previous, stage_sha, argv, stage)
    if conflicting_outputs and not previous_matches:
        result.update(
            status="FAIL",
            failure_code="FAIL_ENVIRONMENT",
            ended_at=utc_now(),
            error_summary="refusing to overwrite output from a different or unknown configuration",
            outputs=[file_record(path) for path in outputs_paths],
            validation={"overwrite_guard": False, "conflicting_outputs": [str(path) for path in conflicting_outputs]},
        )
        atomic_write_json(invocation_dir / "run_result.json", result)
        atomic_write_json(stage_root / "latest_result.json", result)
        return result

    import time

    started_monotonic = time.monotonic()
    exit_code: int | None = None
    exception_text = ""
    cwd.mkdir(parents=True, exist_ok=True)
    for path in outputs_paths:
        path.parent.mkdir(parents=True, exist_ok=True)
    try:
        with stdout_path.open("wb") as stdout_handle, stderr_path.open("wb") as stderr_handle:
            completed = subprocess.run(
                argv,
                cwd=cwd,
                stdout=stdout_handle,
                stderr=stderr_handle,
                timeout=stage["timeout_sec"],
                check=False,
                env={**os.environ, "PYTHONHASHSEED": str(config["model"].get("random_seed", 0))},
            )
            exit_code = completed.returncode
    except subprocess.TimeoutExpired as error:
        exit_code = 124
        exception_text = f"timeout after {stage['timeout_sec']} seconds: {error}"
    except (OSError, ValueError) as error:
        exit_code = 127
        exception_text = f"execution failed: {error}"
    duration = time.monotonic() - started_monotonic
    output_records = [file_record(path) for path in outputs_paths]
    outputs_exist = all(record["exists"] for record in output_records)
    validation_path = resolve_path(stage["validation_report"], variables, cwd) if stage.get("validation_report") else None
    validation = {
        "outputs_exist": outputs_exist,
        "expected_output_count": len(output_records),
        "quantization_preserved": None,
        "runtime_output_match": None,
        **load_validation_report(validation_path),
    }
    passed = exit_code == 0 and outputs_exist
    result.update(
        status="PASS_WITH_PATCH" if passed and stage.get("patch") else ("PASS" if passed else "FAIL"),
        failure_code=None if passed else stage["failure_code_on_error"],
        artifact=str(outputs_paths[0]) if passed and outputs_paths else None,
        outputs=output_records,
        ended_at=utc_now(),
        duration_sec=round(duration, 6),
        exit_code=exit_code,
        error_summary="" if passed else summarize_error(stderr_path, exception_text or "stage failed or output missing"),
        validation=validation,
    )
    atomic_write_json(invocation_dir / "run_result.json", result)
    atomic_write_json(stage_root / "latest_result.json", result)
    return result


def overall_status(results: list[dict[str, Any]]) -> str:
    relevant = [result["status"] for result in results if result["status"] != "SKIPPED"]
    if relevant and all(status in {"PASS", "PASS_WITH_PATCH"} for status in relevant):
        return "PASS"
    if relevant and all(status == "QUEUED" for status in relevant):
        return "QUEUED"
    if any(status in {"PASS", "PASS_WITH_PATCH"} for status in relevant):
        return "PARTIAL"
    if any(status == "BLOCKED" for status in relevant) and not any(status == "FAIL" for status in relevant):
        return "BLOCKED"
    return "FAIL"


def execute(args: argparse.Namespace) -> tuple[dict[str, Any], int]:
    config_path = args.config.resolve()
    config, config_sha = load_and_validate(config_path)
    model = config["model"]
    model_dir = REPO_ROOT / "models" / safe_slug(model["task"]) / model["model_id"]
    for relative in (
        "config", "source/fp32", "source/quantized", "baseline", "onnx/fp32",
        "onnx/quantized", "tflite/fp32", "tflite/quantized", "mlir/fp32",
        "mlir/quantized", "graphs", "analysis", "logs",
    ):
        (model_dir / relative).mkdir(parents=True, exist_ok=True)
    variables = {
        "repo_root": str(REPO_ROOT),
        "model_dir": str(model_dir),
        "python": sys.executable,
        "config_dir": str(config_path.parent),
    }
    current_run_id = run_id()
    started_at = utc_now()
    selected = set(args.stages) if args.stages else None
    known_ids = {stage["id"] for stage in config["stages"]}
    if selected and (unknown := selected - known_ids):
        raise ValueError(f"unknown stage ids: {', '.join(sorted(unknown))}")
    statuses: dict[str, str] = {}
    results: list[dict[str, Any]] = []
    for stage in config["stages"]:
        result = run_stage(
            config, stage, variables, config_sha, current_run_id, args.dry_run,
            args.force, selected, statuses,
        )
        statuses[stage["id"]] = result["status"]
        results.append(result)
    aggregate = {
        "schema_version": "1.0",
        "model_id": model["model_id"],
        "config_path": str(config_path),
        "config_sha256": config_sha,
        "run_id": current_run_id,
        "started_at": started_at,
        "ended_at": utc_now(),
        "overall_status": overall_status(results),
        "stages": results,
    }
    output_path = args.result_out.resolve() if args.result_out else model_dir / ("dry_run_result.json" if args.dry_run else "run_result.json")
    atomic_write_json(output_path, aggregate)
    return aggregate, 0 if aggregate["overall_status"] in {"PASS", "QUEUED"} else 1


def main(argv: list[str] | None = None) -> int:
    args = parse_args(argv)
    try:
        aggregate, exit_code = execute(args)
        print(json.dumps({
            "model_id": aggregate["model_id"],
            "run_id": aggregate["run_id"],
            "overall_status": aggregate["overall_status"],
        }, sort_keys=True))
        return exit_code
    except Exception as error:  # preserve a useful CLI failure while avoiding false PASS
        traceback.print_exc(file=sys.stderr)
        print(f"run_model failed: {error}", file=sys.stderr)
        return 2


if __name__ == "__main__":
    raise SystemExit(main())