{"library":"tensordict","type":"library","category":null,"description":"TensorDict is a PyTorch-dedicated tensor container, offering a dictionary-like class that inherits properties from `torch.Tensor`. It simplifies working with collections of tensors, enabling tensor-like operations, efficient data management, and re-usable training loops across various machine learning paradigms. It's currently at version 0.12.0 and is actively developed.","language":"python","status":"active","version":"0.12.0","tags":["pytorch","tensors","data structures","machine learning","deep learning"],"last_verified":"Thu May 21","install":[{"cmd":"pip install tensordict","imports":["from tensordict import TensorDict","from tensordict import tensorclass","from tensordict import MemoryMappedTensor"]},{"cmd":"conda install -c conda-forge tensordict","imports":[]}],"homepage":null,"github":"https://github.com/pytorch/tensordict","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tensordict/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":20,"avg_install_s":69,"avg_import_s":12.18,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/tensordict/compatibility"}}