TensorDict is a pytorch dedicated tensor container
TensorDict is a dictionary-like class that inherits properties from tensors, such as indexing, shape operations, casting to device or point-to-point communication in distributed settings. The main purpose of TensorDict is to make code-bases more readable and modular by abstracting away tailored operations.
Release | Stable | Testing |
---|---|---|
Fedora Rawhide | 0.3.1-1.fc41 | - |
You can contact the maintainers of this package via email at
python-tensordict dash maintainers at fedoraproject dot org
.