Allow per-version configurations (#14344)
* 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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@@ -19,8 +19,11 @@
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import copy
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import json
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import os
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import re
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import warnings
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from typing import Any, Dict, Tuple, Union
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from typing import Any, Dict, Optional, Tuple, Union
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from packaging import version
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from . import __version__
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from .file_utils import (
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@@ -28,6 +31,7 @@ from .file_utils import (
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PushToHubMixin,
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cached_path,
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copy_func,
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get_list_of_files,
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hf_bucket_url,
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is_offline_mode,
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is_remote_url,
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@@ -37,6 +41,8 @@ from .utils import logging
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logger = logging.get_logger(__name__)
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FULL_CONFIGURATION_FILE = "config.json"
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_re_configuration_file = re.compile(r"config\.(.*)\.json")
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class PretrainedConfig(PushToHubMixin):
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@@ -536,15 +542,23 @@ class PretrainedConfig(PushToHubMixin):
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local_files_only = True
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pretrained_model_name_or_path = str(pretrained_model_name_or_path)
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if os.path.isdir(pretrained_model_name_or_path):
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config_file = os.path.join(pretrained_model_name_or_path, CONFIG_NAME)
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elif os.path.isfile(pretrained_model_name_or_path) or is_remote_url(pretrained_model_name_or_path):
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if os.path.isfile(pretrained_model_name_or_path) or is_remote_url(pretrained_model_name_or_path):
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config_file = pretrained_model_name_or_path
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else:
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config_file = hf_bucket_url(
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pretrained_model_name_or_path, filename=CONFIG_NAME, revision=revision, mirror=None
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configuration_file = get_configuration_file(
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pretrained_model_name_or_path,
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revision=revision,
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use_auth_token=use_auth_token,
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local_files_only=local_files_only,
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)
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if os.path.isdir(pretrained_model_name_or_path):
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config_file = os.path.join(pretrained_model_name_or_path, configuration_file)
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else:
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config_file = hf_bucket_url(
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pretrained_model_name_or_path, filename=configuration_file, revision=revision, mirror=None
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)
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try:
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# Load from URL or cache if already cached
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resolved_config_file = cached_path(
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@@ -796,6 +810,56 @@ class PretrainedConfig(PushToHubMixin):
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d["torch_dtype"] = str(d["torch_dtype"]).split(".")[1]
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def get_configuration_file(
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path_or_repo: Union[str, os.PathLike],
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revision: Optional[str] = None,
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use_auth_token: Optional[Union[bool, str]] = None,
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local_files_only: bool = False,
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) -> str:
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"""
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Get the configuration file to use for this version of transformers.
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Args:
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path_or_repo (:obj:`str` or :obj:`os.PathLike`):
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Can be either the id of a repo on huggingface.co or a path to a `directory`.
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revision(:obj:`str`, `optional`, defaults to :obj:`"main"`):
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The specific model version to use. It can be a branch name, a tag name, or a commit id, since we use a
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git-based system for storing models and other artifacts on huggingface.co, so ``revision`` can be any
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identifier allowed by git.
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use_auth_token (:obj:`str` or `bool`, `optional`):
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The token to use as HTTP bearer authorization for remote files. If :obj:`True`, will use the token
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generated when running :obj:`transformers-cli login` (stored in :obj:`~/.huggingface`).
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local_files_only (:obj:`bool`, `optional`, defaults to :obj:`False`):
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Whether or not to only rely on local files and not to attempt to download any files.
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Returns:
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:obj:`str`: The configuration file to use.
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"""
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# Inspect all files from the repo/folder.
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all_files = get_list_of_files(
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path_or_repo, revision=revision, use_auth_token=use_auth_token, local_files_only=local_files_only
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)
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configuration_files_map = {}
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for file_name in all_files:
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search = _re_configuration_file.search(file_name)
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if search is not None:
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v = search.groups()[0]
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configuration_files_map[v] = file_name
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available_versions = sorted(configuration_files_map.keys())
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# Defaults to FULL_CONFIGURATION_FILE and then try to look at some newer versions.
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configuration_file = FULL_CONFIGURATION_FILE
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transformers_version = version.parse(__version__)
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for v in available_versions:
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if version.parse(v) <= transformers_version:
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configuration_file = configuration_files_map[v]
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else:
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# No point going further since the versions are sorted.
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break
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return configuration_file
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PretrainedConfig.push_to_hub = copy_func(PretrainedConfig.push_to_hub)
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PretrainedConfig.push_to_hub.__doc__ = PretrainedConfig.push_to_hub.__doc__.format(
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object="config", object_class="AutoConfig", object_files="configuration file"
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@@ -16,8 +16,10 @@
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import copy
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import json
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import os
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import shutil
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import tempfile
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import unittest
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import unittest.mock
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from huggingface_hub import Repository, delete_repo, login
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from requests.exceptions import HTTPError
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@@ -306,3 +308,40 @@ class ConfigTestUtils(unittest.TestCase):
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"The following keys are set with the default values in `test_configuration_common.config_common_kwargs` "
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f"pick another value for them: {', '.join(keys_with_defaults)}."
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)
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class ConfigurationVersioningTest(unittest.TestCase):
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def test_local_versioning(self):
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configuration = AutoConfig.from_pretrained("bert-base-cased")
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with tempfile.TemporaryDirectory() as tmp_dir:
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configuration.save_pretrained(tmp_dir)
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configuration.hidden_size = 2
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json.dump(configuration.to_dict(), open(os.path.join(tmp_dir, "config.4.0.0.json"), "w"))
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# This should pick the new configuration file as the version of Transformers is > 4.0.0
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new_configuration = AutoConfig.from_pretrained(tmp_dir)
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self.assertEqual(new_configuration.hidden_size, 2)
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# Will need to be adjusted if we reach v42 and this test is still here.
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# Should pick the old configuration file as the version of Transformers is < 4.42.0
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shutil.move(os.path.join(tmp_dir, "config.4.0.0.json"), os.path.join(tmp_dir, "config.42.0.0.json"))
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new_configuration = AutoConfig.from_pretrained(tmp_dir)
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self.assertEqual(new_configuration.hidden_size, 768)
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def test_repo_versioning_before(self):
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# This repo has two configuration files, one for v5.0.0 and above with an added token, one for versions lower.
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repo = "microsoft/layoutxlm-base"
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import transformers as new_transformers
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new_transformers.configuration_utils.__version__ = "v5.0.0"
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new_configuration = new_transformers.models.auto.AutoConfig.from_pretrained(repo)
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self.assertEqual(new_configuration.tokenizer_class, None)
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# Testing an older version by monkey-patching the version in the module it's used.
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import transformers as old_transformers
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old_transformers.configuration_utils.__version__ = "v3.0.0"
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old_configuration = old_transformers.models.auto.AutoConfig.from_pretrained(repo)
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self.assertEqual(old_configuration.tokenizer_class, "XLMRobertaTokenizer")
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