Blog

We are excited to announce TorchRec, a PyTorch domain library for Recommendation Systems. This new library…

Quantization is a cheap and easy way to make your DNN run faster and with…

TorchVision has a new backwards compatible API for building models with multi-weight support. The new…

Ensuring the right memory format for your inputs can significantly impact the running time of…

More than 1,900 people worked hard in this year’s PyTorch Annual Hackathon to create unique…

A few weeks ago, TorchVision v0.11 was released packed with numerous new primitives, models and…

Introduction FX based feature extraction is a new TorchVision utility that lets us access intermediate transformations of an…

Today, we are pleased to announce a new advanced CUDA feature, CUDA Graphs, has been…

We are excited to announce the release of PyTorch 1.10. This release is composed of…

Today, we are announcing a number of new features and improvements to PyTorch libraries, alongside…

We’re excited to announce the PyTorch Annual Hackathon 2021! This year, we’re looking to support…

In the previous post we went over the theoretical foundations of automatic differentiation and reviewed the implementation…

We are excited to announce PyTorch Developer Day (#PTD2), taking place virtually from December 1…

In this blog post, we describe the first peer-reviewed research paper that explores accelerating the…

PyTorch Profiler v1.9 has been released! The goal of this new release (previous PyTorch Profiler release)…

In the previous article, we’ve discussed how the SSD algorithm works, covered its implementation details and…

Linear algebra is essential to deep learning and scientific computing, and it’s always been a…

PyTorch Mobile provides a runtime environment to execute state-of-the-art machine learning models on mobile devices.…

In TorchVision v0.10, we’ve released two new Object Detection models based on the SSD architecture.…

Today, we are announcing updates to a number of PyTorch libraries, alongside the PyTorch 1.9 release.…