Peng Wu

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.

Since the release of PyTorch 2 in 2023, torch.compile() has spurred significant new thinking around DL compiler designs at the framework level. In this session, we invite leaders in this space to share their insights based on real experiences of building DL compilers – Triton, TorchInductor,...

This Deep Dive provides an update on PyTorch development since last conference and dives into the key new features coming in PyTorch 2.5 and beyond.  We will explore how advancements across a number of PyTorch features combine to better support the full model development lifecycle across training,...

This Deep Dive provides an update on the PT2 development since last conference and dives into the key new features coming in PyTorch 2.1 This will provide high level updates on compile, distributed, inference, export and edge.