Update to Python3.11

.github/workflows/test-check.yaml

@@ -62,7 +62,7 @@ jobs:
     steps:
       - uses: actions/setup-python@v4
         with:
-          python-version: '3.10'
+          python-version: '3.11'
       - uses: actions/checkout@v2
       - uses: actions/checkout@v2
         with:
@@ -86,7 +86,7 @@ jobs:
     steps:
       - uses: actions/setup-python@v4
         with:
-          python-version: '3.10'
+          python-version: '3.11'
       - uses: actions/checkout@v2
       - uses: actions/checkout@v2
         with:
@@ -110,7 +110,7 @@ jobs:
     steps:
       - uses: actions/setup-python@v4
         with:
-          python-version: '3.10'
+          python-version: '3.11'
       - uses: actions/checkout@v2
       - uses: actions/checkout@v2
         with:
@@ -134,7 +134,7 @@ jobs:
     steps:
       - uses: actions/setup-python@v4
         with:
-          python-version: '3.10'
+          python-version: '3.11'
       - uses: actions/checkout@v2
       - uses: actions/checkout@v2
         with:

DEVELOPING.md

@@ -16,7 +16,7 @@ limitations under the License.
 
 # Developing SparseML
 
-SparseML is developed and tested using Python 3.8-3.10.
+SparseML is developed and tested using Python 3.8-3.11.
 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

@@ -111,7 +111,7 @@ SparseML enables you to create a sparse model trained on your dataset in two way
 
 ## Installation
 
-This repository is tested on Python 3.8-3.10, and Linux/Debian systems.
+This repository is tested on Python 3.8-3.11, 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,<=2.0`, `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 3.8-3.10, and Linux/Debian systems.
+This repository is tested on Python 3.8-3.11, 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

@@ -293,7 +293,7 @@ def _setup_long_description() -> Tuple[str, str]:
     install_requires=_setup_install_requires(),
     extras_require=_setup_extras(),
     entry_points=_setup_entry_points(),
-    python_requires=">=3.8.0,<3.11",
+    python_requires=">=3.8.0,<3.12",
     classifiers=[
         "Development Status :: 5 - Production/Stable",
         "Programming Language :: Python :: 3",