Announcing PyTorch 1.0 for both research and production
May 2, 2018Bill Jia
Summary
Announces PyTorch 1.0, which unifies PyTorch's research flexibility with Caffe2's production capabilities and ONNX interoperability. This provides a seamless path from research prototyping to production deployment for AI projects. Key features include a hybrid front-end for imperative and declarative execution, native ONNX export, and the open-sourcing of related tools like Translate and ELF.
More from the AI Research and Development trail
- An Organizational Second Brain: Building an AI That Learns From Experts
- From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta’s Ads Ranking
- GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model
- Exploring Hierarchical Interest Representation For Meta Ads Deep Funnel Optimization
- Meta’s AI Storage Blueprint at Scale