PyTorch is an open-source machine learning framework developed by Facebook's AI Research lab (FAIR). It provides a flexible and dynamic computational graph that enables developers to build and train deep learning models efficiently.

Features of PyTorch:

• PyTorch uses a dynamic computational graph, allowing for more flexible model architectures and easier debugging compared to static graph frameworks.
• It offers extensive support for tensor operations, making it suitable for various machine learning tasks, including neural networks, natural language processing, and computer vision.
• PyTorch provides seamless GPU acceleration, enabling faster training and inference of deep learning models on supported hardware.
• PyTorch enables the creation of dynamic neural networks, where the structure of the network can change during runtime, allowing for more adaptive and complex models.

Checking PyTorch Version:
To check the installed version of PyTorch, you can run the following Python code:
python
import torch
print(torch.__version__)