Announcing PyTorch 1.0 for both research and production

What this post added

Introduces PyTorch 1.0, a unified framework that merges PyTorch's research flexibility with Caffe2's production capabilities and ONNX's interoperability. This enables a seamless transition from research prototyping to production deployment by offering a hybrid front end that supports both imperative and declarative execution modes. The post details the technical challenges of migrating from PyTorch to Caffe2 for production and how ONNX addresses this. It also announces the open-sourcing of related AI tools like Translate, ELF, Glow, Tensor Comprehensions, and Detectron to support end-to-end deep learning system development.