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Run:AI Python library

Project description

Run:AI Python library

Public functional modules for Keras, TF and PyTorch

Info

Status

CircleCI is used for CI system: CircleCI

Modules

This library consists of a few pretty much independent submodules:

Module Name Info
Elastic elastic Make Keras and PyTorch models elastic
Gradient Accumulation ga Gradient accumulation for Keras and PyTorch optimizers
HPO hpo Hyperparameter optimization assistance
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

Getting Started

Installing

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)

Running The Tests

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

python -m unittest discover -s tests -v

Project details


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Source Distribution

runai-0.4.1.tar.gz (18.8 kB view hashes)

Uploaded Source

Built Distribution

runai-0.4.1-py2-none-any.whl (30.2 kB view hashes)

Uploaded Python 2

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