transformers/utils/pr_slow_ci_models.py
Yih-Dar 2ab7bdc403
notify new model merged to main (#36375)
notify new model

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
2025-02-24 17:53:18 +01:00

174 lines
5.7 KiB
Python

# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
This script is used to get the models for which to run slow CI.
A new model added in a pull request will be included, as well as models specified in a GitHub pull request's comment
with a prefix `run-slow`, `run_slow` or `run slow`. For example, the commit message `run_slow: bert, gpt2` will give
`bert` and `gpt2`.
Usage:
```bash
python utils/pr_slow_ci_models.py
```
"""
import argparse
import os.path
import re
import string
from pathlib import Path
from typing import List
from git import Repo
PATH_TO_REPO = Path(__file__).parent.parent.resolve()
def get_new_python_files_between_commits(base_commit: str, commits: List[str]) -> List[str]:
"""
Get the list of added python files between a base commit and one or several commits.
Args:
repo (`git.Repo`):
A git repository (for instance the Transformers repo).
base_commit (`str`):
The commit reference of where to compare for the diff. This is the current commit, not the branching point!
commits (`List[str]`):
The list of commits with which to compare the repo at `base_commit` (so the branching point).
Returns:
`List[str]`: The list of python files added between a base commit and one or several commits.
"""
code_diff = []
for commit in commits:
for diff_obj in commit.diff(base_commit):
# We always add new python files
if diff_obj.change_type == "A" and diff_obj.b_path.endswith(".py"):
code_diff.append(diff_obj.b_path)
return code_diff
def get_new_python_files(diff_with_last_commit=False) -> List[str]:
"""
Return a list of python files that have been added between the current head and the main branch.
Returns:
`List[str]`: The list of python files added.
"""
repo = Repo(PATH_TO_REPO)
try:
# For the cases where the main branch exists locally
main = repo.refs.main
except AttributeError:
# On GitHub Actions runners, it doesn't have local main branch
main = repo.remotes.origin.refs.main
if not diff_with_last_commit:
print(f"main is at {main.commit}")
print(f"Current head is at {repo.head.commit}")
commits = repo.merge_base(main, repo.head)
for commit in commits:
print(f"Branching commit: {commit}")
else:
print(f"main is at {main.commit}")
commits = main.commit.parents
for commit in commits:
print(f"Parent commit: {commit}")
return get_new_python_files_between_commits(repo.head.commit, commits)
def get_new_model(diff_with_last_commit=False):
new_files = get_new_python_files(diff_with_last_commit)
reg = re.compile(r"src/transformers/models/(.*)/modeling_.*\.py")
new_model = ""
for x in new_files:
find_new_model = reg.findall(x)
if len(find_new_model) > 0:
new_model = find_new_model[0]
# It's unlikely we have 2 new modeling files in a pull request.
break
return new_model
def parse_message(message: str) -> str:
"""
Parses a GitHub pull request's comment to find the models specified in it to run slow CI.
Args:
message (`str`): The body of a GitHub pull request's comment.
Returns:
`str`: The substring in `message` after `run-slow`, run_slow` or run slow`. If no such prefix is found, the
empty string is returned.
"""
if message is None:
return ""
message = message.strip().lower()
# run-slow: model_1, model_2
if not message.startswith(("run-slow", "run_slow", "run slow")):
return ""
message = message[len("run slow") :]
# remove leading `:`
while message.strip().startswith(":"):
message = message.strip()[1:]
return message
def get_models(message: str):
models = parse_message(message)
return models.replace(",", " ").split()
def check_model_names(model_name: str):
allowed = string.ascii_letters + string.digits + "_"
return not (model_name.startswith("_") or model_name.endswith("_")) and all(c in allowed for c in model_name)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--message", type=str, default="", help="The content of a comment.")
parser.add_argument("--quantization", action="store_true", help="If we collect quantization tests")
args = parser.parse_args()
new_model = get_new_model()
specified_models = get_models(args.message)
models = ([] if new_model == "" else [new_model]) + specified_models
# a guard for strange model names
models = [model for model in models if check_model_names(model)]
# Add prefix
final_list = []
for model in models:
if not args.quantization:
if os.path.isdir(f"tests/models/{model}"):
final_list.append(f"models/{model}")
elif os.path.isdir(f"tests/{model}") and model != "quantization":
final_list.append(model)
elif os.path.isdir(f"tests/quantization/{model}"):
final_list.append(f"quantization/{model}")
print(sorted(set(final_list)))