Deprecate py37 (#1611)

Remove `_nullcontext` as from 3.7+ there is a similar method in standard library

DEVELOPING.md

@@ -16,7 +16,7 @@ limitations under the License.
 
 # Developing SparseML
 
-SparseML is developed and tested using Python 3.7-3.10.
+SparseML is developed and tested using Python 3.8-3.10.
 To develop SparseML, you will also need the development dependencies and to follow the styling guidelines.
 
 Here are some details to get started.

README.md

@@ -104,7 +104,7 @@ SparseML enables you to create a sparse model trained on your dataset in two way
 
 ## Installation
 
-This repository is tested on Python 3.7-3.10, and Linux/Debian systems.
+This repository is tested on Python 3.8-3.10, and Linux/Debian systems.
 
 It is recommended to install in a [virtual environment](https://docs.python.org/3/library/venv.html) to keep your system in order.
 Currently supported ML Frameworks are the following: `torch>=1.1.0,<1.14`, `tensorflow>=1.8.0,<2.0.0`, `tensorflow.keras >= 2.2.0`.

docs/source/installation.md

@@ -16,7 +16,7 @@ limitations under the License.
 
 # Installation
 
-This repository is tested on Python 3.7-3.10, and Linux/Debian systems.
+This repository is tested on Python 3.8-3.10, and Linux/Debian systems.
 It is recommended to install in a [virtual environment](https://docs.python.org/3/library/venv.html) to keep your system in order.
 Currently supported ML Frameworks are the following: `torch>=1.1.0,<1.14`, `tensorflow>=1.8.0,<=2.0.0`, `tensorflow.keras >= 2.2.0`.
 

setup.py

@@ -290,7 +290,7 @@ def _setup_long_description() -> Tuple[str, str]:
     install_requires=_setup_install_requires(),
     extras_require=_setup_extras(),
     entry_points=_setup_entry_points(),
-    python_requires=">=3.7.0,<3.11",
+    python_requires=">=3.8.0,<3.11",
     classifiers=[
         "Development Status :: 5 - Production/Stable",
         "Programming Language :: Python :: 3",

src/sparseml/pytorch/image_classification/utils/helpers.py

@@ -19,7 +19,7 @@
 import logging
 import os
 import warnings
-from contextlib import contextmanager
+from contextlib import nullcontext
 from enum import Enum, auto, unique
 from typing import Any, Dict, List, Optional, Tuple, Union
 
@@ -262,7 +262,7 @@ def get_dataset_and_dataloader(
     download_context = (
         torch_distributed_zero_first(local_rank)  # only download once locally
         if training
-        else _nullcontext()
+        else nullcontext()
     )
     dataset_kwargs = dataset_kwargs or {}
 
@@ -620,12 +620,3 @@ def _download_model_from_zoo_using_recipe(
         Model(recipe_stub),
         recipe_name=recipe_type,
     )
-
-
-@contextmanager
-def _nullcontext(enter_result=None):
-    """
-    A context manager that does nothing. For compatibility with Python 3.6
-    Update usages to use contextlib.nullcontext on Python 3.7+
-    """
-    yield enter_result