Skip to main content

Auto differetiation library

Project description

Undefined_AD Package

Undefined_AD Documentation

Build Status codecov

Documentation Status

Brief Introduction

This project/package is part of the Harvard CS107/AC207 class final project in Fall 2021, automatic differentiation (AD). We created this package to compute the first-order derivative from a user-defined function automatically. Our package can utilize both forward and reverse modes. Additionally, we also allow users to define their own seeds vector for the Jacobian Matrix and the option to generate the computational graph associated with the input function.

For details instruction on how to use this package, please follow the steps in the usage page.

Group Number:

Group 1

Group Members:

Xinran Tang xinran_tang@g.harvard.edu

Renhao Luo renhao_luo@hms.harvard.edu

Chelse Swoopes cswoopes@g.harvard.edu

Shijia Zhang shijiazhang@hms.harvard.edu

Harvard University, Fall 2021

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

undefined_AD-2.1.1.tar.gz (23.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

undefined_AD-2.1.1-py3-none-any.whl (15.1 kB view details)

Uploaded Python 3

File details

Details for the file undefined_AD-2.1.1.tar.gz.

File metadata

  • Download URL: undefined_AD-2.1.1.tar.gz
  • Upload date:
  • Size: 23.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.8.2 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.10

File hashes

Hashes for undefined_AD-2.1.1.tar.gz
Algorithm Hash digest
SHA256 c13c7872ec34ac451fd2bd455ffb455c72271a3fd896a20ca145fc58db38a5cf
MD5 d946ad0c55f6789d0085dd0c4acb4166
BLAKE2b-256 b8153b4e9ec016e9607ebb22e77ae0817e167d3e31b5eab5fbf5496466e9736a

See more details on using hashes here.

File details

Details for the file undefined_AD-2.1.1-py3-none-any.whl.

File metadata

  • Download URL: undefined_AD-2.1.1-py3-none-any.whl
  • Upload date:
  • Size: 15.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.8.2 requests/2.25.1 setuptools/52.0.0.post20210125 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.10

File hashes

Hashes for undefined_AD-2.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b9e1d393a94b9f2305113908960a2ff87e38f389b0675e449e1a619b99f6d994
MD5 3eb13b2d5d1e43ba96d013d8deba2c56
BLAKE2b-256 985ccb03c2362528ee1d7f46f591b8932078005c1b87d141e2acda85dbdff8f9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page