Files
heretic/src/heretic/reproduce.py
T
Philipp Emanuel WeidmannandVinay Umrethe 0146b2760f feat: headless operation + end-to-end tests (#392)
* fix: remove notebook input shims

Closes #280

* feat: support headless operation (no interactive input)

* fix: prevent infinite loops

* feat: add end-to-end tests

* ci: run tests in CI

* ci: fix test output ordering

* fix: replace home-cooked `set_seed` function with Transformers builtin

* feat: print PyTorch config when running tests

* feat: print additional information

* experiment: try to standardize test environment

* fix: revert environment changes

* feat: support multiple valid hashes for each output file

* feat: add test output hashes for CI

* feat: add test output hashes for CI (alternative environment)

* feat: add hashes for Windows (#394)

* fix: Hash on windows

* trigger ci

* fix: prefer .yaml (used widely than .toml for model configs)

* use removeprefix

* docs: restore commet

* use removeprefix again

* tests: Add windows hash files for all test models

* trigger ci

* fix: minor cleanup

* clean merge mismatch

* remove unnecessary CRLF replace, now that we support more SUMS files

* fix: use binary mode for hashes everywhere

---------

Co-authored-by: Vinay Umrethe <umrethevinay@gmail.com>
2026-06-27 13:41:48 +05:30

392 lines
12 KiB
Python

# SPDX-License-Identifier: AGPL-3.0-or-later
# Copyright (C) 2025-2026 Philipp Emanuel Weidmann <pew@worldwidemann.com> + contributors
import json
import platform
import random
import shutil
from dataclasses import asdict
from enum import IntEnum
from pathlib import Path
from typing import Any, cast
from urllib.request import urlopen
import cpuinfo
import questionary
import torch
from huggingface_hub import HfApi, hf_hub_download
from huggingface_hub.utils import (
GatedRepoError,
disable_progress_bars,
enable_progress_bars,
)
from questionary import Choice, Style
from rich.table import Table
from .config import Settings
from .system import (
get_accelerator_info_dict,
get_heretic_version_info,
get_requirements_dict,
)
from .utils import ask_if_unset, print
def collect_reproducibles(path: str):
print(
f"Collecting [bold]reproduce.json[/] files from Hugging Face and storing them in [bold]{path}[/]..."
)
print()
api = HfApi()
models = api.list_models(
filter=["heretic", "reproducible"],
sort="created_at",
expand=["gated", "tags"],
)
found = 0
downloaded = 0
# We're only downloading tiny files, so the progress bars are just noise.
disable_progress_bars()
try:
for model in models:
# Ignore repositories containing quantizations.
if model.tags is not None and "gguf" in model.tags:
continue
if model.gated:
try:
api.auth_check(model.id, repo_type="model")
except GatedRepoError:
continue
print(f"[bold]{model.id}[/]...", end="")
user, repository = model.id.split("/")
paths_info = api.get_paths_info(
model.id,
"reproduce/reproduce.json",
expand=True,
)
# The reproduce.json file might not exist in the repository
# despite the relevant tags being present.
if not paths_info:
print(" [yellow]no reproduce.json found[/]")
continue
found += 1
commit_hash = paths_info[0].last_commit.oid
file_path = (
Path(path)
/ "huggingface.co"
/ user
/ f"{repository}-{commit_hash[:7]}.json"
)
if file_path.exists():
print(" already stored")
continue
cache_path = hf_hub_download(
model.id,
"reproduce/reproduce.json",
)
file_path.parent.mkdir(parents=True, exist_ok=True)
shutil.copyfile(cache_path, file_path)
print(" [green]downloaded[/]")
downloaded += 1
finally:
enable_progress_bars()
print()
print(f"Found: [bold]{found}[/] files")
print(f"Downloaded: [bold]{downloaded}[/] files")
print(f"Already stored: [bold]{found - downloaded}[/] files")
def load_reproduction_information(path: str) -> dict[str, Any]:
if path.lower().startswith(("http://", "https://")):
# The path is a URL on the web.
# Obtain raw download URL.
path = path.replace("/blob/", "/raw/") # Hugging Face, GitHub
path = path.replace("/src/branch/", "/raw/branch/") # Codeberg
json_str = urlopen(path).read().decode("utf-8")
else:
# The path is (assumed to be) a local file system path.
json_str = Path(path).read_text(encoding="utf-8")
return json.loads(json_str)
class MismatchSeverity(IntEnum):
LOW = 1
MEDIUM = 2
HIGH = 3
CRITICAL = 4
def __rich__(self) -> str:
match self:
case MismatchSeverity.LOW:
return "[green]low[/]"
case MismatchSeverity.MEDIUM:
return "[yellow]medium[/]"
case MismatchSeverity.HIGH:
return "[red]high[/]"
case MismatchSeverity.CRITICAL:
return "[bold red]critical[/]"
case _:
raise ValueError(f"unknown MismatchSeverity value: {self}")
def get_package_mismatch_severity(package_name: str) -> MismatchSeverity:
if package_name in [
"heretic-llm",
]:
return MismatchSeverity.CRITICAL
elif package_name in [
"torch",
"transformers",
]:
return MismatchSeverity.HIGH
elif package_name in [
"accelerate",
"bitsandbytes",
"kernels",
"optuna",
"peft",
"tokenizers",
"triton",
]:
return MismatchSeverity.MEDIUM
else:
return MismatchSeverity.LOW
def format_version_information(version_information: dict[str, Any]) -> str:
version = version_information["version"]
metadata = version_information["metadata"]
if "type" in metadata:
match metadata["type"]:
case "pypi":
return version
case "git":
return f"{version}-git+{metadata['url']}@{metadata['commit_hash']}"
case "local":
# Append a random number to ensure that two local installations
# are always considered to be different versions.
return f"{version}-local-{random.randint(2**16, 2**17)}"
case _:
raise ValueError(
f"unknown metadata.type value in version information: {metadata['type']}"
)
else:
return f"{version}-unknown-{random.randint(2**16, 2**17)}"
def check_environment(
settings: Settings,
reproduction_information: dict[str, Any],
) -> bool | None:
mismatch_severity: MismatchSeverity | None = None
system_mismatches = []
package_mismatches = []
def verify(
mismatch_list: list[tuple[str, Any, Any, MismatchSeverity]],
name: str,
this: Any,
original: Any,
severity: MismatchSeverity,
):
nonlocal mismatch_severity
if this != original:
mismatch_list.append((name, this, original, severity))
if mismatch_severity is None:
mismatch_severity = severity
else:
mismatch_severity = max(severity, mismatch_severity)
if "system" in reproduction_information:
system = reproduction_information["system"]
verify(
system_mismatches,
"Python version",
platform.python_version(),
system["python"]["version"],
MismatchSeverity.LOW,
)
verify(
system_mismatches,
"Operating system",
platform.platform(),
system["os"]["platform"],
MismatchSeverity.LOW,
)
verify(
system_mismatches,
"CPU",
cpuinfo.get_cpu_info().get("brand_raw"),
system["cpu"]["brand"],
MismatchSeverity.LOW,
)
accelerators = get_accelerator_info_dict()
verify(
system_mismatches,
"Accelerator type",
accelerators["type"],
system["accelerators"]["type"],
MismatchSeverity.HIGH,
)
if (
accelerators["type"]
and accelerators["type"] == system["accelerators"]["type"]
):
verify(
system_mismatches,
accelerators["api_name"],
accelerators["api_version"],
system["accelerators"]["api_version"],
MismatchSeverity.MEDIUM,
)
verify(
system_mismatches,
"Driver version",
accelerators["driver_version"],
system["accelerators"]["driver_version"],
MismatchSeverity.MEDIUM,
)
verify(
system_mismatches,
"Devices",
"\n".join([device["name"] for device in accelerators["devices"]]),
"\n".join(
[device["name"] for device in system["accelerators"]["devices"]]
),
MismatchSeverity.MEDIUM,
)
else:
print(
(
"[yellow]The provided JSON file does not contain system information. "
"Some system parameters can affect reproducibility, but due to the lack of system information, "
"Heretic is unable to verify that those parameters match the original environment. "
"Reproduction may or may not produce a byte-for-byte identical model.[/]"
)
)
requirements = get_requirements_dict()
requirements["heretic-llm"] = format_version_information(
asdict(get_heretic_version_info())
)
requirements["torch"] = torch.__version__
original_requirements = reproduction_information["environment"]["requirements"]
original_requirements["heretic-llm"] = format_version_information(
reproduction_information["environment"]["heretic"]
)
original_requirements["torch"] = reproduction_information["environment"][
"pytorch_version"
]
package_names = sorted(requirements.keys() | original_requirements.keys())
for package_name in package_names:
verify(
package_mismatches,
package_name,
requirements.get(package_name),
original_requirements.get(package_name),
get_package_mismatch_severity(package_name),
)
if system_mismatches or package_mismatches:
print()
print(
(
"[yellow]Your local environment doesn't perfectly match the environment "
"used to produce the original model. The following components differ:[/]"
)
)
if system_mismatches:
table = Table()
table.add_column("Component")
table.add_column("This system", overflow="fold")
table.add_column("Original system", overflow="fold")
table.add_column("Severity", width=8)
for component, this, original, severity in system_mismatches:
table.add_row(f"[bold]{component}[/]", this, original, severity)
print()
print("[bold]System Mismatches[/]")
print(table)
if package_mismatches:
table = Table()
table.add_column("Package")
table.add_column("This system", overflow="fold")
table.add_column("Original system", overflow="fold")
table.add_column("Severity", width=8)
for package, this, original, severity in package_mismatches:
table.add_row(f"[bold]{package}[/]", this, original, severity)
print()
print("[bold]Package Mismatches[/]")
print(table)
if system_mismatches or package_mismatches:
print()
print(
(
f"There is a {cast(MismatchSeverity, mismatch_severity).__rich__()} chance "
"that reproduction won't produce a byte-for-byte identical model. "
"However, the resulting model will very likely still behave similarly "
"to the original model."
)
)
if settings.ignore_mismatches is None:
print()
return ask_if_unset(
settings.ignore_mismatches,
questionary.select(
"How would you like to proceed?",
choices=[
Choice(
title="Attempt to reproduce the model anyway",
value=True,
),
Choice(
title="Exit program",
value=False,
),
],
style=Style([("highlighted", "reverse")]),
),
)
else:
# There are no mismatches at all, so there is nothing to confirm.
return True