May 10, 2021
PyTorch Ecosystem Day 2021 Recap and New Contributor Resources
Thank you to our incredible community for making the first ever PyTorch Ecosystem Day a success! The day was filled with discussions on new developments, trends and challenges showcased through 71 posters, 32 breakout sessions and 6 keynote speakers.
April 16, 2021
An overview of the ML models introduced in TorchVision v0.9
TorchVision v0.9 has been released and it is packed with numerous new Machine Learning models and features, speed improvements and bug fixes. In this blog post, we provide a quick overview of the newly introduced ML models and discuss their key features and characteristics.
March 25, 2021
Introducing PyTorch Profiler - the new and improved performance tool
Along with PyTorch 1.8.1 release, we are excited to announce PyTorch Profiler – the new and improved performance debugging profiler for PyTorch. Developed as part of a collaboration between Microsoft and Facebook, the PyTorch Profiler is an open-source tool that enables accurate and efficient performance analysis and troubleshooting for large-scale deep learning models.
March 24, 2021
PyTorch for AMD ROCm™ Platform now available as Python package
With the PyTorch 1.8 release, we are delighted to announce a new installation option for users of PyTorch on the ROCm™ open software platform. An installable Python package is now hosted on pytorch.org, along with instructions for local installation in the same simple, selectable format as PyTorch packages for CPU-only configurations and other GPU platforms. PyTorch on ROCm includes full capability for mixed-precision and large-scale training using AMD’s MIOpen & RCCL libraries. This prov...
March 09, 2021
Announcing PyTorch Ecosystem Day
We’re proud to announce our first PyTorch Ecosystem Day. The virtual, one-day event will focus completely on our Ecosystem and Industry PyTorch communities!
March 04, 2021
PyTorch 1.8 Release, including Compiler and Distributed Training updates, and New Mobile Tutorials
We are excited to announce the availability of PyTorch 1.8. This release is composed of more than 3,000 commits since 1.7. It includes major updates and new features for compilation, code optimization, frontend APIs for scientific computing, and AMD ROCm support through binaries that are available via pytorch.org. It also provides improved features for large-scale training for pipeline and model parallelism, and gradient compression. A few of the highlights include:
- Support for doi...
March 04, 2021
New PyTorch library releases including TorchVision Mobile, TorchAudio I/O, and more
Today, we are announcing updates to a number of PyTorch libraries, alongside the PyTorch 1.8 release. The updates include new releases for the domain libraries including TorchVision, TorchText and TorchAudio as well as new version of TorchCSPRNG. These releases include a number of new features and improvements and, along with the PyTorch 1.8 release, provide a broad set of updates for the PyTorch community to build on and leverage.
March 03, 2021
The torch.fft module: Accelerated Fast Fourier Transforms with Autograd in PyTorch
The Fast Fourier Transform (FFT) calculates the Discrete Fourier Transform in O(n log n) time. It is foundational to a wide variety of numerical algorithms and signal processing techniques since it makes working in signals’ “frequency domains” as tractable as working in their spatial or temporal domains.
