[8][9][10][11] It is one of the most popular deep learning frameworks, alongside others such as TensorFlow and PaddlePaddle,[12][13] offering free and open-source software released under the modified BSD license.

The Open Neural Network Exchange (ONNX) project was created by Meta and Microsoft in September 2017 for converting models between frameworks.

[24] PyTorch 2.0 was released on 15 March 2023, introducing TorchDynamo, a Python-level compiler that makes code run up to 2x faster, along with significant improvements in training and inference performance across major cloud platforms.

[25][26] PyTorch defines a class called Tensor (torch.Tensor) to store and operate on homogeneous multidimensional rectangular arrays of numbers.

This module offers a comprehensive collection of building blocks for neural networks, including various layers and activation functions, enabling the construction of complex models.