Ikkuna Neural Network Monitor
A tool for monitoring neural network training.
Ikkuna provides a framework for adding live training metrics to your PyTorch model with minimal configuration. It is a PubSub framework which allows practitioners to quickly test metrics implemented against a simple API. The following data is provided
- Gradients w.r.t weights and biases
- Gradients w.r.t layer outputs
- Weight updates
- Bias updates
- Metadata such as current step in the training, current labels and current perdictions
Subscribers consume this data and distill it into metrics. Different backends can be used
Working with this repository
You should create a
conda envorinment from the provided
torch.yaml file and
pip install -r the provided
requirements.txt file. You will also have to
numba for building the documentation until I have the time to figure
out how to optionally turn off parts of a doc build.
You should also run
python setup.py develop which will install the package
with symlinks to this repository. Since all subscribers are
setuptools plugins, they are
not available unless
setup.py is run.
The sphinx-generated html documentation is hosted here.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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