TVMCon covers state of the art of deep learning compilation and optimization, with a range of tutorials, research talks, case studies, and industry presentations.
Apache TVM is an open-source deep learning compiler stack for CPUs, GPUs, and specialized accelerators. It aims to close the gap between the productivity-focused deep learning frameworks, and the performance- or efficiency-oriented hardware backends.
Day One: Tutorials
Introduction to TVMScript
Introduction to Unity: Relax and Metaschedule
PyTorch & TVM: TorchScript, Dynamo, and the Future
TVM BYOC in Practice
Day Two: Keynote Speakers & Main Session
ML Practitioner & Infra Spotlights: NIO, Tencent, Meta
Hardware Vendor Highlights: Andes, TI, Renasas, ARM, Qualcomm
Day Three: Research & Community Discussions