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Allow per-version configurations (huggingface#14344)
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* Allow per-version configurations

* Update tests/test_configuration_common.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/test_configuration_common.py

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
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2 people authored and Alberto Bégué committed Jan 27, 2022
1 parent 86e6aa8 commit 3b43c0f
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76 changes: 70 additions & 6 deletions src/transformers/configuration_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -19,15 +19,19 @@
import copy
import json
import os
import re
import warnings
from typing import Any, Dict, Tuple, Union
from typing import Any, Dict, Optional, Tuple, Union

from packaging import version

from . import __version__
from .file_utils import (
CONFIG_NAME,
PushToHubMixin,
cached_path,
copy_func,
get_list_of_files,
hf_bucket_url,
is_offline_mode,
is_remote_url,
Expand All @@ -37,6 +41,8 @@


logger = logging.get_logger(__name__)
FULL_CONFIGURATION_FILE = "config.json"
_re_configuration_file = re.compile(r"config\.(.*)\.json")


class PretrainedConfig(PushToHubMixin):
Expand Down Expand Up @@ -536,15 +542,23 @@ def get_config_dict(
local_files_only = True

pretrained_model_name_or_path = str(pretrained_model_name_or_path)
if os.path.isdir(pretrained_model_name_or_path):
config_file = os.path.join(pretrained_model_name_or_path, CONFIG_NAME)
elif os.path.isfile(pretrained_model_name_or_path) or is_remote_url(pretrained_model_name_or_path):
if os.path.isfile(pretrained_model_name_or_path) or is_remote_url(pretrained_model_name_or_path):
config_file = pretrained_model_name_or_path
else:
config_file = hf_bucket_url(
pretrained_model_name_or_path, filename=CONFIG_NAME, revision=revision, mirror=None
configuration_file = get_configuration_file(
pretrained_model_name_or_path,
revision=revision,
use_auth_token=use_auth_token,
local_files_only=local_files_only,
)

if os.path.isdir(pretrained_model_name_or_path):
config_file = os.path.join(pretrained_model_name_or_path, configuration_file)
else:
config_file = hf_bucket_url(
pretrained_model_name_or_path, filename=configuration_file, revision=revision, mirror=None
)

try:
# Load from URL or cache if already cached
resolved_config_file = cached_path(
Expand Down Expand Up @@ -796,6 +810,56 @@ def dict_torch_dtype_to_str(self, d: Dict[str, Any]) -> None:
d["torch_dtype"] = str(d["torch_dtype"]).split(".")[1]


def get_configuration_file(
path_or_repo: Union[str, os.PathLike],
revision: Optional[str] = None,
use_auth_token: Optional[Union[bool, str]] = None,
local_files_only: bool = False,
) -> str:
"""
Get the configuration file to use for this version of transformers.
Args:
path_or_repo (:obj:`str` or :obj:`os.PathLike`):
Can be either the id of a repo on huggingface.co or a path to a `directory`.
revision(:obj:`str`, `optional`, defaults to :obj:`"main"`):
The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
git-based system for storing models and other artifacts on huggingface.co, so ``revision`` can be any
identifier allowed by git.
use_auth_token (:obj:`str` or `bool`, `optional`):
The token to use as HTTP bearer authorization for remote files. If :obj:`True`, will use the token
generated when running :obj:`transformers-cli login` (stored in :obj:`~/.huggingface`).
local_files_only (:obj:`bool`, `optional`, defaults to :obj:`False`):
Whether or not to only rely on local files and not to attempt to download any files.
Returns:
:obj:`str`: The configuration file to use.
"""
# Inspect all files from the repo/folder.
all_files = get_list_of_files(
path_or_repo, revision=revision, use_auth_token=use_auth_token, local_files_only=local_files_only
)
configuration_files_map = {}
for file_name in all_files:
search = _re_configuration_file.search(file_name)
if search is not None:
v = search.groups()[0]
configuration_files_map[v] = file_name
available_versions = sorted(configuration_files_map.keys())

# Defaults to FULL_CONFIGURATION_FILE and then try to look at some newer versions.
configuration_file = FULL_CONFIGURATION_FILE
transformers_version = version.parse(__version__)
for v in available_versions:
if version.parse(v) <= transformers_version:
configuration_file = configuration_files_map[v]
else:
# No point going further since the versions are sorted.
break

return configuration_file


PretrainedConfig.push_to_hub = copy_func(PretrainedConfig.push_to_hub)
PretrainedConfig.push_to_hub.__doc__ = PretrainedConfig.push_to_hub.__doc__.format(
object="config", object_class="AutoConfig", object_files="configuration file"
Expand Down
39 changes: 39 additions & 0 deletions tests/test_configuration_common.py
Original file line number Diff line number Diff line change
Expand Up @@ -16,8 +16,10 @@
import copy
import json
import os
import shutil
import tempfile
import unittest
import unittest.mock

from huggingface_hub import Repository, delete_repo, login
from requests.exceptions import HTTPError
Expand Down Expand Up @@ -306,3 +308,40 @@ def test_config_common_kwargs_is_complete(self):
"The following keys are set with the default values in `test_configuration_common.config_common_kwargs` "
f"pick another value for them: {', '.join(keys_with_defaults)}."
)


class ConfigurationVersioningTest(unittest.TestCase):
def test_local_versioning(self):
configuration = AutoConfig.from_pretrained("bert-base-cased")

with tempfile.TemporaryDirectory() as tmp_dir:
configuration.save_pretrained(tmp_dir)
configuration.hidden_size = 2
json.dump(configuration.to_dict(), open(os.path.join(tmp_dir, "config.4.0.0.json"), "w"))

# This should pick the new configuration file as the version of Transformers is > 4.0.0
new_configuration = AutoConfig.from_pretrained(tmp_dir)
self.assertEqual(new_configuration.hidden_size, 2)

# Will need to be adjusted if we reach v42 and this test is still here.
# Should pick the old configuration file as the version of Transformers is < 4.42.0
shutil.move(os.path.join(tmp_dir, "config.4.0.0.json"), os.path.join(tmp_dir, "config.42.0.0.json"))
new_configuration = AutoConfig.from_pretrained(tmp_dir)
self.assertEqual(new_configuration.hidden_size, 768)

def test_repo_versioning_before(self):
# This repo has two configuration files, one for v5.0.0 and above with an added token, one for versions lower.
repo = "microsoft/layoutxlm-base"

import transformers as new_transformers

new_transformers.configuration_utils.__version__ = "v5.0.0"
new_configuration = new_transformers.models.auto.AutoConfig.from_pretrained(repo)
self.assertEqual(new_configuration.tokenizer_class, None)

# Testing an older version by monkey-patching the version in the module it's used.
import transformers as old_transformers

old_transformers.configuration_utils.__version__ = "v3.0.0"
old_configuration = old_transformers.models.auto.AutoConfig.from_pretrained(repo)
self.assertEqual(old_configuration.tokenizer_class, "XLMRobertaTokenizer")

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