Announcing PyTorch 1.0 for both research and production

The path for taking AI development from research to production has historically involved multiple steps and tools, making it time-intensive and complicated to test new approaches, deploy them, and iterate to improve accuracy and performance. To help accelerate and optimize this process, we're introducing PyTorch 1.0, the next version of our open source AI framework. PyTorch 1.0 takes the modular, production-oriented capabilities from Caffe2 and ONNX and combines them with PyTorch's existing flexible, research-focused design to provide a fast, seamless path from research prototyping to production deployment for a broad range of AI projects. The technology in PyTorch 1.0 has already powered many Facebook products and services at scale, including performing 6 billion text translations per day. PyTorch 1.0 will be available in beta within the next few months, and will include a family of tools, libraries, pre-trained models, and datasets for each stage of development, enabling the community to quickly create and deploy new AI innovations at scale.