{"library":"nv-one-logger-pytorch-lightning-integration","type":"library","category":null,"description":"The `nv-one-logger-pytorch-lightning-integration` library (current version 2.3.1) provides wrappers to enable training job telemetry for PyTorch Lightning applications. It integrates with PyTorch Lightning's callback mechanism, supplementing it to ensure support for asynchronous checkpointing and certain application lifecycle events not fully covered by Lightning's native callbacks. The library aims for automatic telemetry collection and seamless integration with the NVIDIA One Logger training telemetry system, and has a healthy version release cadence.","language":"python","status":"active","version":"2.3.1","tags":["pytorch-lightning","logging","telemetry","nvidia","mlops","gpu","training"],"install":[{"cmd":"pip install nv-one-logger-pytorch-lightning-integration","imports":["from nv_one_logger import hook_trainer_cls"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/nv-one-logger-pytorch-lightning-integration/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":74.2,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/nv-one-logger-pytorch-lightning-integration/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}