{"library":"fairscale","type":"library","category":null,"description":"FairScale is a PyTorch extension library providing utilities for large-scale and high-performance training, including Fully Sharded Data Parallel (FSDP) and Optimizer State Sharding (OSS). While many features, especially FSDP, have been upstreamed to PyTorch, FairScale offers specialized tools for memory and communication efficiency. The current version is 0.4.13. Release cadence is infrequent now, as core functionalities are integrated into PyTorch.","language":"python","status":"maintenance","version":"0.4.13","tags":["pytorch","distributed-training","data-parallel","fsdp","optimizer-sharding","gpu","hpc","deep-learning"],"last_verified":"Sat May 23","install":[{"cmd":"pip install fairscale","imports":["from fairscale.nn.data_parallel import FullyShardedDataParallel","from fairscale.optim.oss import OSS"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/fairscale/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":68.6,"avg_import_s":6.32,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/fairscale/compatibility"}}