{"library":"torchprofile","type":"library","category":null,"description":"torchprofile is a lightweight Python library designed to accurately count the Multiply-Accumulate Operations (MACs) or FLOPs of PyTorch models. Its current version is 0.1.0. Releases are infrequent but indicate ongoing maintenance, focusing on core profiling capabilities.","language":"python","status":"active","version":"0.1.0","tags":["pytorch","profiling","macs","flops","deep learning","performance"],"last_verified":"Wed May 27","install":[{"cmd":"pip install torchprofile","imports":["from torchprofile import profile_macs"]}],"homepage":null,"github":"https://github.com/zhijian-liu/torchprofile","docs":null,"changelog":null,"pypi":"https://pypi.org/project/torchprofile/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":74.3,"avg_import_s":5.06,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/torchprofile/compatibility"}}