{"library":"torchsummary","type":"library","category":null,"description":"`torchsummary` provides a Keras-like `model.summary()` functionality for PyTorch models, displaying layer names, output shapes, parameter counts, and trainable parameters. It helps in quickly understanding the architecture and memory footprint of a neural network. The current version is 1.5.1, with releases occurring as needed for bug fixes and minor enhancements rather than a strict schedule.","language":"python","status":"active","version":"1.5.1","tags":["pytorch","model-summary","deep-learning","nn","architecture-analysis"],"last_verified":"Wed May 27","install":[{"cmd":"pip install torchsummary","imports":["from torchsummary import summary"]}],"homepage":null,"github":"https://github.com/sksq96/pytorch-summary","docs":null,"changelog":null,"pypi":"https://pypi.org/project/torchsummary/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":1.7,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/torchsummary/compatibility"}}