September 12, 2022
PyTorch strengthens its governance by joining the Linux Foundation
Today, I am proud to announce that PyTorch is moving to the Linux Foundation (LF) as a top-level project under the name PyTorch Foundation. The core mission of the Linux Foundation is the collaborative development of open source software. With a governing board of leaders from AMD, Amazon Web Services (AWS), Google Cloud, Meta, Microsoft Azure and NVIDIA, this model aligns with where PyTorch stands today and what it needs to travel forward. The creation of the PyTorch Foundation will ensure b...
August 29, 2022
Fast Beam Search Decoding in PyTorch with TorchAudio and Flashlight Text
Beam search decoding with industry-leading speed from Flashlight Text (part of the Flashlight ML framework) is now available with official support in TorchAudio, bringing high-performance beam search and text utilities for speech and text applications built on top of PyTorch. The current integration supports CTC-style decoding, but it can be used for any modeling setting that outputs token-level probability distributions over time steps.
August 26, 2022
Introducing nvFuser, a deep learning compiler for PyTorch
nvFuser is a Deep Learning Compiler for NVIDIA GPUs that automatically just-in-time compiles fast and flexible kernels to reliably accelerate users’ networks. It provides significant speedups for deep learning networks running on Volta and later CUDA accelerators by generating fast custom “fusion” kernels at runtime. nvFuser is specifically designed to meet the unique requirements of the PyTorch community, and it supports diverse network architectures and programs with dynamic inputs of varyi...
August 18, 2022
Easily list and initialize models with new APIs in TorchVision
TorchVision now supports listing and initializing all available built-in models and weights by name. This new API builds upon the recently introduced Multi-weight support API, is currently in Beta, and it addresses a long-standing request from the community.
