A Year in Review: Quansight’s Contributions to PyTorch in 2022

2022 was an exciting year for the PyTorch ecosystem. The PyTorch project joining the Linux Foundation was a major milestone, and PyTorch 2.0 was announced with loads of informative talks from the maintainers explaining new features. Additionally, there was marked progress on areas including sparse tensors, JAX-like transformations in PyTorch were released, and TorchVision announced a new Transforms API. In this post, we will […]