Run:AI Python library
Public functional modules for Keras, TF and PyTorch
Info
Status
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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
pipinstaller (you might need to usepip3for Python3)
Running The Tests
All tests (unit tests) can be run using the following command:
python -m unittest discover -s tests -v
1 maintainer
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