May 02, 2018

The road to 1.0: production ready PyTorch

We would like to give you a preview of the roadmap for PyTorch 1.0 , the next release of PyTorch. Over the last year, we’ve had 0.2, 0.3 and 0.4 transform PyTorch from a [Torch+Chainer]-like interface into something cleaner, adding double-backwards, numpy-like functions, advanced indexing and removing Variable boilerplate. At this time, we’re confident that the API is in a reasonable and stable state to confidently release a 1.0.

April 22, 2018

PyTorch 0.4.0 Migration Guide

Welcome to the migration guide for PyTorch 0.4.0. In this release we introduced many exciting new features and critical bug fixes, with the goal of providing users a better and cleaner interface. In this guide, we will cover the most important changes in migrating existing code from previous versions:

March 05, 2018

Tensor Comprehensions in PyTorch

Tensor Comprehensions (TC) is a tool that lowers the barrier for writing high-performance code. It generates GPU code from a simple high-level language and autotunes the code for specific input sizes.