Update docs with latest supported torch versions (#1601)

Co-authored-by: Konstantin Gulin <66528950+KSGulin@users.noreply.github.com>

Author: rahul-tuli

README.md

@@ -107,7 +107,7 @@ SparseML enables you to create a sparse model trained on your dataset in two way
 This repository is tested on Python 3.7-3.10, 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,<=1.12.1`, `tensorflow>=1.8.0,<2.0.0`, `tensorflow.keras >= 2.2.0`.
+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`.
 
 Install with pip using:
 

docs/source/installation.md

@@ -18,7 +18,7 @@ limitations under the License.
 
 This repository is tested on Python 3.6-3.9, 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,<=1.8.0`, `tensorflow>=1.8.0,<=2.0.0`, `tensorflow.keras >= 2.2.0`.
+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`.
 
 Install with pip using: