{"library":"onnxsim","type":"library","category":null,"description":"ONNX Simplifier (onnxsim) is a Python library designed to reduce the complexity of ONNX models by inferring the computation graph and performing constant folding. This makes ONNX models more efficient for inference and deployment. It is actively maintained with frequent minor releases, currently at version 0.6.2.","language":"python","status":"active","version":"0.6.2","tags":["onnx","deep-learning","model-optimization","simplification","inference"],"install":[{"cmd":"pip install onnxsim","imports":["from onnxsim import simplify"]}],"homepage":null,"github":"https://github.com/onnxsim/onnxsim","docs":null,"changelog":null,"pypi":"https://pypi.org/project/onnxsim/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":7.5,"avg_import_s":3.31,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/onnxsim/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Thu Jul 09","install_tag":null}}