| Metadata-Version: 2.1 | |
| Name: xformers | |
| Version: 0.0.14.dev0 | |
| Summary: XFormers: A collection of composable Transformer building blocks. | |
| Home-page: https://facebookresearch.github.io/xformers/ | |
| Author: Facebook AI Research | |
| Author-email: lefaudeux@fb.com | |
| License: UNKNOWN | |
| Platform: UNKNOWN | |
| Classifier: Programming Language :: Python :: 3.7 | |
| Classifier: Programming Language :: Python :: 3.8 | |
| Classifier: Programming Language :: Python :: 3.9 | |
| Classifier: License :: OSI Approved :: BSD License | |
| Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence | |
| Classifier: Operating System :: OS Independent | |
| Requires-Python: >=3.6 | |
| Description-Content-Type: text/markdown | |
| License-File: LICENSE | |
| Requires-Dist: torch (>=1.12) | |
| Requires-Dist: numpy | |
| Requires-Dist: pyre-extensions (==0.0.23) | |
| XFormers: A collection of composable Transformer building blocks.XFormers aims at being able to reproduce most architectures in the Transformer-family SOTA,defined as compatible and combined building blocks as opposed to monolithic models | |