⚠️ Time to say goodbye to py37 (#24091)

* fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

.github/conda/meta.yaml

@@ -16,7 +16,6 @@ requirements:
     - pip
     - numpy >=1.17
     - dataclasses
-    - importlib_metadata
     - huggingface_hub
     - packaging
     - filelock
@@ -31,7 +30,6 @@ requirements:
     - python
     - numpy >=1.17
     - dataclasses
-    - importlib_metadata
     - huggingface_hub
     - packaging
     - filelock

.github/workflows/stale.yml

@@ -17,7 +17,7 @@ jobs:
     - name: Setup Python
       uses: actions/setup-python@v4
       with:
-        python-version: 3.7
+        python-version: 3.8
 
     - name: Install requirements
       run: |

CONTRIBUTING.md

@@ -130,7 +130,7 @@ You will need basic `git` proficiency to contribute to
 manual. Type `git --help` in a shell and enjoy! If you prefer books, [Pro
 Git](https://git-scm.com/book/en/v2) is a very good reference.
 
-You'll need **[Python 3.7]((https://github.com/huggingface/transformers/blob/main/setup.py#L426))** or above to contribute to 🤗 Transformers. Follow the steps below to start contributing:
+You'll need **[Python 3.8]((https://github.com/huggingface/transformers/blob/main/setup.py#L426))** or above to contribute to 🤗 Transformers. Follow the steps below to start contributing:
 
 1. Fork the [repository](https://github.com/huggingface/transformers) by
    clicking on the **[Fork](https://github.com/huggingface/transformers/fork)** button on the repository's page. This creates a copy of the code

setup.py

@@ -149,7 +149,7 @@ _deps = [
     "pytest>=7.2.0",
     "pytest-timeout",
     "pytest-xdist",
-    "python>=3.7.0",
+    "python>=3.8.0",
     "ray[tune]",
     "regex!=2019.12.17",
     "requests",
@@ -413,7 +413,6 @@ extras["agents"] = deps_list(
 
 # when modifying the following list, make sure to update src/transformers/dependency_versions_check.py
 install_requires = [
-    deps["importlib_metadata"] + ";python_version<'3.8'",  # importlib_metadata for Python versions that don't have it
     deps["filelock"],  # filesystem locks, e.g., to prevent parallel downloads
     deps["huggingface-hub"],
     deps["numpy"],
@@ -444,7 +443,7 @@ setup(
     zip_safe=False,
     extras_require=extras,
     entry_points={"console_scripts": ["transformers-cli=transformers.commands.transformers_cli:main"]},
-    python_requires=">=3.7.0",
+    python_requires=">=3.8.0",
     install_requires=install_requires,
     classifiers=[
         "Development Status :: 5 - Production/Stable",
@@ -454,7 +453,6 @@ setup(
         "License :: OSI Approved :: Apache Software License",
         "Operating System :: OS Independent",
         "Programming Language :: Python :: 3",
-        "Programming Language :: Python :: 3.7",
         "Programming Language :: Python :: 3.8",
         "Programming Language :: Python :: 3.9",
         "Programming Language :: Python :: 3.10",

src/transformers/dependency_versions_check.py

@@ -11,7 +11,6 @@
 # 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.
-import sys
 
 from .dependency_versions_table import deps
 from .utils.versions import require_version, require_version_core
@@ -38,9 +37,6 @@ pkgs_to_check_at_runtime = [
     "pyyaml",
 ]
 
-if sys.version_info < (3, 8):
-    pkgs_to_check_at_runtime.append("importlib_metadata")
-
 for pkg in pkgs_to_check_at_runtime:
     if pkg in deps:
         if pkg == "tokenizers":

src/transformers/dependency_versions_table.py

@@ -54,7 +54,7 @@ deps = {
     "pytest": "pytest>=7.2.0",
     "pytest-timeout": "pytest-timeout",
     "pytest-xdist": "pytest-xdist",
-    "python": "python>=3.7.0",
+    "python": "python>=3.8.0",
     "ray[tune]": "ray[tune]",
     "regex": "regex!=2019.12.17",
     "requests": "requests",

src/transformers/hf_argparser.py

@@ -21,19 +21,11 @@ from copy import copy
 from enum import Enum
 from inspect import isclass
 from pathlib import Path
-from typing import Any, Callable, Dict, Iterable, List, NewType, Optional, Tuple, Union, get_type_hints
+from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints
 
 import yaml
 
 
-try:
-    # For Python versions <3.8, Literal is not in typing: https://peps.python.org/pep-0586/
-    from typing import Literal
-except ImportError:
-    # For Python 3.7
-    from typing_extensions import Literal
-
-
 DataClass = NewType("DataClass", Any)
 DataClassType = NewType("DataClassType", Any)
 

src/transformers/integrations.py

@@ -15,6 +15,7 @@
 Integrations with other Python libraries.
 """
 import functools
+import importlib.metadata
 import importlib.util
 import json
 import numbers
@@ -31,7 +32,6 @@ import numpy as np
 
 from . import __version__ as version
 from .utils import flatten_dict, is_datasets_available, is_pandas_available, is_torch_available, logging
-from .utils.versions import importlib_metadata
 
 
 logger = logging.get_logger(__name__)
@@ -59,13 +59,13 @@ _has_neptune = (
 )
 if TYPE_CHECKING and _has_neptune:
     try:
-        _neptune_version = importlib_metadata.version("neptune")
+        _neptune_version = importlib.metadata.version("neptune")
         logger.info(f"Neptune version {_neptune_version} available.")
-    except importlib_metadata.PackageNotFoundError:
+    except importlib.metadata.PackageNotFoundError:
         try:
-            _neptune_version = importlib_metadata.version("neptune-client")
+            _neptune_version = importlib.metadata.version("neptune-client")
             logger.info(f"Neptune-client version {_neptune_version} available.")
-        except importlib_metadata.PackageNotFoundError:
+        except importlib.metadata.PackageNotFoundError:
             _has_neptune = False
 
 from .trainer_callback import ProgressCallback, TrainerCallback  # noqa: E402
@@ -367,10 +367,8 @@ def run_hp_search_ray(trainer, n_trials: int, direction: str, **kwargs) -> BestR
 def run_hp_search_sigopt(trainer, n_trials: int, direction: str, **kwargs) -> BestRun:
     import sigopt
 
-    from transformers.utils.versions import importlib_metadata
-
     if trainer.args.process_index == 0:
-        if importlib_metadata.version("sigopt") >= "8.0.0":
+        if importlib.metadata.version("sigopt") >= "8.0.0":
             sigopt.set_project("huggingface")
 
             experiment = sigopt.create_experiment(

src/transformers/modeling_utils.py

@@ -15,6 +15,7 @@
 # limitations under the License.
 import collections
 import gc
+import importlib.metadata
 import inspect
 import json
 import os
@@ -73,7 +74,7 @@ from .utils import (
     replace_return_docstrings,
 )
 from .utils.hub import convert_file_size_to_int, get_checkpoint_shard_files
-from .utils.import_utils import ENV_VARS_TRUE_VALUES, importlib_metadata, is_sagemaker_mp_enabled
+from .utils.import_utils import ENV_VARS_TRUE_VALUES, is_sagemaker_mp_enabled
 from .utils.quantization_config import BitsAndBytesConfig
 from .utils.versions import require_version_core
 
@@ -2203,7 +2204,7 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
             use_safetensors = False
 
         if is_bitsandbytes_available():
-            is_8bit_serializable = version.parse(importlib_metadata.version("bitsandbytes")) > version.parse("0.37.2")
+            is_8bit_serializable = version.parse(importlib.metadata.version("bitsandbytes")) > version.parse("0.37.2")
         else:
             is_8bit_serializable = False
 
@@ -2738,7 +2739,7 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
 
                 modules_to_not_convert.extend(keys_on_cpu)
 
-            supports_4bit = version.parse(importlib_metadata.version("bitsandbytes")) >= version.parse("0.39.0")
+            supports_4bit = version.parse(importlib.metadata.version("bitsandbytes")) >= version.parse("0.39.0")
 
             if load_in_4bit and not supports_4bit:
                 raise ValueError(
@@ -2751,7 +2752,7 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
             )
             # training in 8-bit is only available in 0.37.0+
             model._is_quantized_training_enabled = version.parse(
-                importlib_metadata.version("bitsandbytes")
+                importlib.metadata.version("bitsandbytes")
             ) >= version.parse("0.37.0")
 
             model.config.quantization_config = quantization_config
@@ -2786,7 +2787,7 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
             target_dtype = torch_dtype
 
             if load_in_4bit:
-                if version.parse(importlib_metadata.version("accelerate")) > version.parse("0.19.0"):
+                if version.parse(importlib.metadata.version("accelerate")) > version.parse("0.19.0"):
                     from accelerate.utils import CustomDtype
 
                     target_dtype = CustomDtype.INT4

src/transformers/utils/bitsandbytes.py

@@ -1,10 +1,11 @@
+import importlib.metadata
 import warnings
 from copy import deepcopy
 
 from packaging import version
 
 from ..utils import logging
-from .import_utils import importlib_metadata, is_accelerate_available, is_bitsandbytes_available
+from .import_utils import is_accelerate_available, is_bitsandbytes_available
 
 
 if is_bitsandbytes_available():
@@ -75,7 +76,7 @@ def set_module_quantized_tensor_to_device(module, tensor_name, device, value=Non
             elif isinstance(value, torch.Tensor):
                 new_value = value.to("cpu")
                 if value.dtype == torch.int8:
-                    is_8bit_serializable = version.parse(importlib_metadata.version("bitsandbytes")) > version.parse(
+                    is_8bit_serializable = version.parse(importlib.metadata.version("bitsandbytes")) > version.parse(
                         "0.37.2"
                     )
                     if not is_8bit_serializable:

src/transformers/utils/import_utils.py

@@ -15,6 +15,7 @@
 Import utilities: Utilities related to imports and our lazy inits.
 """
 
+import importlib.metadata
 import importlib.util
 import json
 import os
@@ -31,7 +32,6 @@ from typing import Any, Tuple, Union
 from packaging import version
 
 from . import logging
-from .versions import importlib_metadata
 
 
 logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
@@ -44,9 +44,9 @@ def _is_package_available(pkg_name: str, return_version: bool = False) -> Union[
     package_version = "N/A"
     if package_exists:
         try:
-            package_version = importlib_metadata.version(pkg_name)
+            package_version = importlib.metadata.version(pkg_name)
             package_exists = True
-        except importlib_metadata.PackageNotFoundError:
+        except importlib.metadata.PackageNotFoundError:
             package_exists = False
         logger.debug(f"Detected {pkg_name} version {package_version}")
     if return_version:
@@ -71,7 +71,7 @@ TORCH_FX_REQUIRED_VERSION = version.parse("1.10")
 _accelerate_available, _accelerate_version = _is_package_available("accelerate", return_version=True)
 _apex_available = _is_package_available("apex")
 _bitsandbytes_available = _is_package_available("bitsandbytes")
-# `importlib_metadata.version` doesn't work with `bs4` but `beautifulsoup4`. For `importlib.util.find_spec`, reversed.
+# `importlib.metadata.version` doesn't work with `bs4` but `beautifulsoup4`. For `importlib.util.find_spec`, reversed.
 _bs4_available = importlib.util.find_spec("bs4") is not None
 _coloredlogs_available = _is_package_available("coloredlogs")
 _datasets_available = _is_package_available("datasets")
@@ -80,13 +80,13 @@ _detectron2_available = _is_package_available("detectron2")
 # We need to check both `faiss` and `faiss-cpu`.
 _faiss_available = importlib.util.find_spec("faiss") is not None
 try:
-    _faiss_version = importlib_metadata.version("faiss")
+    _faiss_version = importlib.metadata.version("faiss")
     logger.debug(f"Successfully imported faiss version {_faiss_version}")
-except importlib_metadata.PackageNotFoundError:
+except importlib.metadata.PackageNotFoundError:
     try:
-        _faiss_version = importlib_metadata.version("faiss-cpu")
+        _faiss_version = importlib.metadata.version("faiss-cpu")
         logger.debug(f"Successfully imported faiss version {_faiss_version}")
-    except importlib_metadata.PackageNotFoundError:
+    except importlib.metadata.PackageNotFoundError:
         _faiss_available = False
 _ftfy_available = _is_package_available("ftfy")
 _ipex_available, _ipex_version = _is_package_available("intel_extension_for_pytorch", return_version=True)
@@ -115,8 +115,8 @@ _sentencepiece_available = _is_package_available("sentencepiece")
 _sklearn_available = importlib.util.find_spec("sklearn") is not None
 if _sklearn_available:
     try:
-        importlib_metadata.version("scikit-learn")
-    except importlib_metadata.PackageNotFoundError:
+        importlib.metadata.version("scikit-learn")
+    except importlib.metadata.PackageNotFoundError:
         _sklearn_available = False
 _smdistributed_available = importlib.util.find_spec("smdistributed") is not None
 _soundfile_available = _is_package_available("soundfile")
@@ -168,9 +168,9 @@ else:
             # For the metadata, we have to look for both tensorflow and tensorflow-cpu
             for pkg in candidates:
                 try:
-                    _tf_version = importlib_metadata.version(pkg)
+                    _tf_version = importlib.metadata.version(pkg)
                     break
-                except importlib_metadata.PackageNotFoundError:
+                except importlib.metadata.PackageNotFoundError:
                     pass
             _tf_available = _tf_version is not None
         if _tf_available:
@@ -189,9 +189,9 @@ _is_ccl_available = (
     or importlib.util.find_spec("oneccl_bindings_for_pytorch") is not None
 )
 try:
-    ccl_version = importlib_metadata.version("oneccl_bind_pt")
+    ccl_version = importlib.metadata.version("oneccl_bind_pt")
     logger.debug(f"Detected oneccl_bind_pt version {ccl_version}")
-except importlib_metadata.PackageNotFoundError:
+except importlib.metadata.PackageNotFoundError:
     _is_ccl_available = False
 
 
@@ -530,8 +530,8 @@ def is_vision_available():
     _pil_available = importlib.util.find_spec("PIL") is not None
     if _pil_available:
         try:
-            package_version = importlib_metadata.version("Pillow")
-        except importlib_metadata.PackageNotFoundError:
+            package_version = importlib.metadata.version("Pillow")
+        except importlib.metadata.PackageNotFoundError:
             return False
         logger.debug(f"Detected PIL version {package_version}")
     return _pil_available

src/transformers/utils/quantization_config.py

@@ -15,6 +15,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import copy
+import importlib.metadata
 import json
 import os
 from dataclasses import dataclass
@@ -23,7 +24,6 @@ from typing import Any, Dict, Union
 from packaging import version
 
 from ..utils import is_torch_available, logging
-from ..utils.import_utils import importlib_metadata
 
 
 if is_torch_available():
@@ -141,7 +141,7 @@ class BitsAndBytesConfig:
         if not isinstance(self.bnb_4bit_use_double_quant, bool):
             raise ValueError("bnb_4bit_use_double_quant must be a boolean")
 
-        if self.load_in_4bit and not version.parse(importlib_metadata.version("bitsandbytes")) >= version.parse(
+        if self.load_in_4bit and not version.parse(importlib.metadata.version("bitsandbytes")) >= version.parse(
             "0.39.0"
         ):
             raise ValueError(

src/transformers/utils/versions.py

@@ -15,6 +15,7 @@
 Utilities for working with package versions
 """
 
+import importlib.metadata
 import operator
 import re
 import sys
@@ -23,13 +24,6 @@ from typing import Optional
 from packaging import version
 
 
-# The package importlib_metadata is in a different place, depending on the python version.
-if sys.version_info < (3, 8):
-    import importlib_metadata
-else:
-    import importlib.metadata as importlib_metadata
-
-
 ops = {
     "<": operator.lt,
     "<=": operator.le,
@@ -56,7 +50,7 @@ def require_version(requirement: str, hint: Optional[str] = None) -> None:
     """
     Perform a runtime check of the dependency versions, using the exact same syntax used by pip.
 
-    The installed module version comes from the *site-packages* dir via *importlib_metadata*.
+    The installed module version comes from the *site-packages* dir via *importlib.metadata*.
 
     Args:
         requirement (`str`): pip style definition, e.g.,  "tokenizers==0.9.4", "tqdm>=4.27", "numpy"
@@ -105,9 +99,9 @@ def require_version(requirement: str, hint: Optional[str] = None) -> None:
 
     # check if any version is installed
     try:
-        got_ver = importlib_metadata.version(pkg)
-    except importlib_metadata.PackageNotFoundError:
-        raise importlib_metadata.PackageNotFoundError(
+        got_ver = importlib.metadata.version(pkg)
+    except importlib.metadata.PackageNotFoundError:
+        raise importlib.metadata.PackageNotFoundError(
             f"The '{requirement}' distribution was not found and is required by this application. {hint}"
         )
 

tests/bnb/test_4bit.py

@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import gc
+import importlib.metadata
 import tempfile
 import unittest
 
@@ -36,7 +37,6 @@ from transformers.testing_utils import (
     require_torch_multi_gpu,
     slow,
 )
-from transformers.utils.versions import importlib_metadata
 
 
 def get_some_linear_layer(model):
@@ -446,7 +446,7 @@ class Bnb4BitTestTraining(Base4bitTest):
         super().setUp()
 
     def test_training(self):
-        if version.parse(importlib_metadata.version("bitsandbytes")) < version.parse("0.37.0"):
+        if version.parse(importlib.metadata.version("bitsandbytes")) < version.parse("0.37.0"):
             return
 
         # Step 1: freeze all parameters

tests/bnb/test_mixed_int8.py

@@ -13,6 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import gc
+import importlib.metadata
 import tempfile
 import unittest
 
@@ -38,7 +39,6 @@ from transformers.testing_utils import (
     require_torch_multi_gpu,
     slow,
 )
-from transformers.utils.versions import importlib_metadata
 
 
 def get_some_linear_layer(model):
@@ -722,7 +722,7 @@ class MixedInt8TestTraining(BaseMixedInt8Test):
         super().setUp()
 
     def test_training(self):
-        if version.parse(importlib_metadata.version("bitsandbytes")) < version.parse("0.37.0"):
+        if version.parse(importlib.metadata.version("bitsandbytes")) < version.parse("0.37.0"):
             return
 
         # Step 1: freeze all parameters

tests/utils/test_hf_argparser.py

@@ -22,7 +22,7 @@ from argparse import Namespace
 from dataclasses import dataclass, field
 from enum import Enum
 from pathlib import Path
-from typing import List, Optional
+from typing import List, Literal, Optional
 
 import yaml
 
@@ -30,13 +30,6 @@ from transformers import HfArgumentParser, TrainingArguments
 from transformers.hf_argparser import make_choice_type_function, string_to_bool
 
 
-try:
-    # For Python versions <3.8, Literal is not in typing: https://peps.python.org/pep-0586/
-    from typing import Literal
-except ImportError:
-    # For Python 3.7
-    from typing_extensions import Literal
-
 # Since Python 3.10, we can use the builtin `|` operator for Union types
 # See PEP 604: https://peps.python.org/pep-0604
 is_python_no_less_than_3_10 = sys.version_info >= (3, 10)

tests/utils/test_versions_utils.py

@@ -12,13 +12,14 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import importlib.metadata
 import sys
 
 from transformers.testing_utils import TestCasePlus
-from transformers.utils.versions import importlib_metadata, require_version, require_version_core
+from transformers.utils.versions import require_version, require_version_core
 
 
-numpy_ver = importlib_metadata.version("numpy")
+numpy_ver = importlib.metadata.version("numpy")
 python_ver = ".".join([str(x) for x in sys.version_info[:3]])
 
 
@@ -65,7 +66,7 @@ class DependencyVersionCheckTest(TestCasePlus):
         for req in ["numpipypie>1", "numpipypie2"]:
             try:
                 require_version_core(req)
-            except importlib_metadata.PackageNotFoundError as e:
+            except importlib.metadata.PackageNotFoundError as e:
                 self.assertIn(f"The '{req}' distribution was not found and is required by this application", str(e))
                 self.assertIn("Try: pip install transformers -U", str(e))