{"library":"torchtyping","type":"library","category":null,"description":"torchtyping provides runtime type annotations for PyTorch Tensors, allowing developers to specify and dynamically check the shape, dtype, names, and layout of tensors. It aims to improve code clarity and reduce bugs by enforcing consistent tensor properties. The library is currently at version 0.1.5.","language":"en","status":"maintenance","version":"0.1.5","tags":["pytorch","type-checking","type-annotations","tensors","deep-learning","runtime-checking","machine-learning"],"last_verified":"Wed May 27","install":[{"cmd":"pip install torchtyping","imports":["from torchtyping import TensorType","from torchtyping import patch_typeguard"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":40,"avg_install_s":69.4,"avg_import_s":5.58,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/torchtyping/compatibility"}}