Factual package intelligence from PyPI

thoad 0.1.0 package intelligence

**thoad** (Torch High Order Automatic Differentiation) is a lightweight reverse-mode autodifferentiation engine written entirely in Python that works over PyTorch’s computational graph to compute **high order partial derivatives**. Unlike PyTorch’s native autograd - which is limi

pip install thoad

Current version
0.1.0
Python requirement
>=3.12
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
365.1 KiB
Release history
1 releases with files
Median release cadence
Not enough dated releases

thoad dependencies

PyPI declares 1 unique dependency rule for this release. Environment markers are shown when supplied by the project.

  1. torch >=2.4.1

Compatibility and release files

thoad publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .