PyTorch is a Python-based tensor computing library with high-level support for neural network architectures. It also supports offloading computation to GPUs.

PyTorch’s developers have introduced a feature in PyTorch 1.0, called Torch Script, that strikes a balance between Python’s accessible syntax and performant code.

The Anaconda distribution of Python contains a base Python engine plus over 500 add-in packages that have been tested to be compatible with one another. After you have a Python distribution installed, ...

It's important to document the versions of Python and PyTorch being used because both systems are under continuous development. Dealing with versioning incompatibilities is a significant headache when ...

PyTorch is a Python-centric open-source machine learning framework with a focus on computer vision and natural language processing.

Courtesy of PyTorch/XLA (a now generally available Python library), Google's Cloud TPUs can better support Facebook's PyTorch machine learning framework.

As PyTorch maintainers point out, the preview gives developers the flexibility to work with multiple frameworks and Python packages that rely on Nvidia CUDA but only support Linux.

PyTorch has its problems. Facebook admits that while PyTorch currently is very flexible, performance at production-scale is a challenge, given its tight coupling to Python.

As the popularity of the Python programming language persists, a user survey of search topics identifies a growing focus on AI and machine learning tasks and, with them, greater adoption of related ...