Automatic differentiation library
Cortenn implements data formatting and manipulation portions for the Tenncor libraries help developers write math equations for machine learning.
This project is a multiplex layer for Tenncor and some data-manipulation library. This library exist to avoid changing Tenncor too much.
This module is implements basic operations for Tenncor’s ADE Tensor objects generated through pybinder.
Additionally, llo also defines data format and (de)serialization methods required by PBM.
This module specifies graph optimization through ADE’s visitor pattern.
This module marshals any ADE graph, but requires data serialization functors when saving and loading.
This generator extends Tenncor’s AGE generator. In this instance, on top of generating the ADE operators specified in LLO, pybinder generates pybind11 binding code.
Cortenn uses bazel 0.15+.
Download bazel: https://docs.bazel.build/versions/master/install.html