Alban Desmaison

These sessions give participants an opportunity to meet some of the developers leading PyTorch to foster collaboration, gather feedback, and inspire contributions and collaboration . PyTorch core modules (e.g. torch.autograd, torch.optim, torch.nn) form the foundation for most AI research and...

This Deep Dive provides an update on PyTorch development since last conference and dives into key new features. We will explore how advancements across a number of PyTorch features combine to better support the full model development lifecycle across training, fine-tuning, and deployment.

These sessions give participants an opportunity to meet some of the developers leading PyTorch to foster collaboration, gather feedback, and inspire contributions and collaboration . PyTorch core modules (e.g. torch.autograd, torch.optim, torch.nn) form the foundation for most AI research and...

Journey across the PyTorch stack and see all the extension points that exist from nn.Module to the c++ Dispatcher through autograd and subclasses. This sessions will cover example use cases and when each one should be used while pointing to reference for in-depth details.

It takes a village to build an open-source framework, all thanks to our awesome community of contributors, partners and ecosystem tools. This talk gives a run through of who builds PyTorch, new and upcoming improvements to the framework and how to get involved.