PyTorch 1.12: TorchArrow, Functional API for Modules and nvFuser, are now available

PyTorch 1.12: TorchArrow, Functional API for Modules and nvFuser, are now available

PyTorch 1.12: TorchArrow, Functional API for Modules and nvFuser, are now available

“We are excited to announce the release of PyTorch 1.12 (release note)! This release is composed of over 3124 commits, 433 contributors. Along with 1.12, we are releasing beta versions of AWS S3 Integration, PyTorch Vision Models on Channels Last on CPU, Empowering PyTorch on Intel® Xeon® Scalable processors with Bfloat16 and FSDP API. We want to sincerely thank our dedicated community for your contributions.

Summary:

• Functional APIs to functionally apply module computation with a given set of parameters
• Complex32 and Complex Convolutions in PyTorch
• DataPipes from TorchData fully backward compatible with DataLoader
• functorch with improved coverage for APIs
• nvFuser a deep learning compiler for PyTorch
• Changes to float32 matrix multiplication precision on Ampere and later CUDA hardware
• TorchArrow, a new beta library for machine learning preprocessing over batch data…”

Source: pytorch.org/blog/pytorch-1.12-released/