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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

Metadata

Release files for runai 0.4.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for runai 0.4.1
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runai-0.4.1.tar.gz 18.8 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for runai 0.4.1
File Interpreter ABI Platform
runai-0.4.1-py2-none-any.whl Python 2 none any Details

Total release size: 49.1 kB

Release files / runai-0.4.1.tar.gz

Download URL runai-0.4.1.tar.gz
Size 18.8 kB
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Release files / runai-0.4.1-py2-none-any.whl

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Release history Release notifications | RSS feed

This release

0.4.1 This release

2 release files

0.4.0

2 release files

0.3.0

2 release files

0.2.0

2 release files

0.1.2

2 release files

0.1.1

2 release files

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