pybaum provides tools to work with pytrees which is a concept burrowed from JAX.

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Deep Learning pybaum
Overview

pybaum

PyPI PyPI - Python Version PyPI - License https://readthedocs.org/projects/pybaum/badge/?version=latest https://img.shields.io/github/workflow/status/OpenSourceEconomics/pybaum/main/main pre-commit.ci status

Installation

pybaum is available on PyPI and Anaconda.org. Install it with

$ pip install pybaum

# or

$ conda install -c conda-forge pybaum

About

pybaum provides tools to work with pytrees which is a concept burrowed from JAX.

What is a pytree?

In pybaum, we use the term pytree to refer to a tree-like structure built out of container-like Python objects. Classes are considered container-like if they are in the pytree registry, which by default includes lists, tuples, and dicts. That is:

  1. Any object whose type is not in the pytree container registry is considered a leaf pytree.
  2. Any object whose type is in the pytree container registry, and which contains pytrees, is considered a pytree.

For each entry in the pytree container registry, a container-like type is registered with a pair of functions that specify how to convert an instance of the container type to a (children, metadata) pair and how to convert such a pair back to an instance of the container type. Using these functions, pybaum can canonicalize any tree of registered container objects into tuples.

Example pytrees:

[1, "a", object()]  # 3 leaves

(1, (2, 3), ())  # 3 leaves

[1, {"k1": 2, "k2": (3, 4)}, 5]  # 5 leaves

pybaum can be extended to consider other container types as pytrees.

Comments
Releases(v0.1.3)

  • v0.1.3(Dec 16, 2022)

  • v0.1.2(Jun 15, 2022)

  • v0.1.1(Feb 19, 2022)

    What's Changed

    • Add a section about the API to the docs. by @tobiasraabe in https://github.com/OpenSourceEconomics/pybaum/pull/12
    • Add default arguments to tree_just_flatten. by @tobiasraabe in https://github.com/OpenSourceEconomics/pybaum/pull/10
    • Implement tree_yield and tree_just_yield. by @tobiasraabe in https://github.com/OpenSourceEconomics/pybaum/pull/11
    • Add badges and a short description to the readme. by @tobiasraabe in https://github.com/OpenSourceEconomics/pybaum/pull/13

    Full Changelog: https://github.com/OpenSourceEconomics/pybaum/compare/v0.1.0...v0.1.1

    Source code(tar.gz)
    Source code(zip)

  • v0.1.0(Jan 28, 2022)

Owner
Open Source Economics
A platform for transdisciplinary collaboration in the development, analysis, and application of computational economic models.
Open Source Economics
GitHub https://pybaum.readthedocs.io
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