It features a performant and Pandas-style, easy-to-use API in order to speed up your preprocessing workflows and development.Ĭurrently, it provides a Python DataFrame interface with the following features: This is a library for machine learning preprocessing over batch data. We’ve got a new Beta release ready for you to try and use: TorchArrow. TorchArrow, a new beta library for machine learning preprocessing over batch data.Changes to float32 matrix multiplication precision on Ampere and later CUDA hardware.nvFuser a deep learning compiler for PyTorch.functorch with improved coverage for APIs.DataPipes from TorchData fully backward compatible with DataLoader.Complex32 and Complex Convolutions in PyTorch. Functional APIs to functionally apply module computation with a given set of parameters.We want to sincerely thank our dedicated community for your contributions. 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 are excited to announce the release of PyTorch 1.12 ( release note)! This release is composed of over 3124 commits, 433 contributors.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |