AMD and Intel are working together to bring CPU inference optimizations for PyTorch under the unified oneDNN library.

AMD joins the UXL Foundation as a steering member, and AMD and Intel agree on oneDNN as PyTorch's default library for x86 CPU ...

PyTorch, a machine learning and deep learning framework, has emerged as a powerful tool for both researchers and developers alike. It offers a unique blend of speed, flexibility, and user-friendly ...

Deep learning continues to be one of the hottest fields in computing, and while Google’s TensorFlow remains the most popular framework in absolute numbers, Facebook’s PyTorch has quickly earned a ...

AMD and Intel Collaborate to Simplify AI Development on x86 CPUs Using PyTorch. AMD and Intel are collaborating to combine ...

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

In this book PyTorch core developer Howard Huang updates the first edition with new insights into the transformers architecture and generative AI models. Huang et al show how to create your own neural ...

At first glance, PyTorch and TensorFlow seem almost identical: They're both free, open source machine learning frameworks that make extensive use of Python; they both benefit from large, dynamic ...

I recently read an article by Adam Mainz (@MainzOnX) titled "What even is a kernel?". It is an introductory article that ...