Project description

Run:AI Python library

Public functional modules for Keras and TF

CircleCI is used for CI system:

This library consists of a few pretty much independent submodules:

Module	Name	Info
Elastic	`elastic`	Make Keras models elastic
Gradient Accumulation	`ga`	Gradient accumulation for Keras optimizers
Model Parallelism	`mp`	Model-parallelism support for Keras builtin layers
Auto Profiler	`profiler`	Export timeline of TF/Keras models easily
Reporter	`reporter`	An interface to send metrics and parameters to Promethues Push Gateway

Install the runai Python library using pip using the following command:

pip install runai

Make sure to use the correct pip installer (you might need to use pip3 for Python3)

All tests (unit tests) can be run using the following command:

python -m unittest discover -s tests -v

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

0.4.1

Feb 2, 2021

0.4.0

Oct 22, 2020

0.3.0

Aug 25, 2020

0.2.0

May 24, 2020

This version

0.1.2

Dec 30, 2019

0.1.1

Dec 26, 2019

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

Uploaded Dec 30, 2019 Source

Uploaded Dec 30, 2019 Python 3

Hashes for runai-0.1.2.tar.gz
Algorithm	Hash digest
SHA256	`82d0f26e388ffb6d56c41fb85db97d9a46ce2db9f018e3c3b5a71faf03d724b9`
MD5	`97fbd32c5e85244dfa512dc57bf3fc8c`
BLAKE2b-256	`3442c4ecae38554f5bd0df53ce2494c8b9b5fa4aa016ef4597d7a08d5155dd1b`

Hashes for runai-0.1.2-py3-none-any.whl
Algorithm	Hash digest
SHA256	`3cbfb17d43536451d89949e3acb2f1b1eae73a76285d2c72db7f9efc91b0bde2`
MD5	`25d5ec463af960bfb91f9221474d23c7`
BLAKE2b-256	`8cc090a2d4c2b5f4df7bc71b77c1678db06721977da0fc3799888f48f9273faa`