ignite is a high-level library to help with training neural networks in PyTorch.
ignite helps you write compact but full-featured training loops in a few lines of code
you get a training loop with metrics, early-stopping, model checkpointing and other features without the boilerplate
Below we show a side-by-side comparison of using pure pytorch and using ignite to create a training loop to train and validate your model with occasional checkpointing:
As you can see, the code is more concise and readable with ignite. Furthermore, adding additional metrics, or things like early stopping is a breeze in ignite, but can start to rapidly increase the complexity of your code when “rolling your own” training loop.
pip install pytorch-ignite
conda install ignite -c pytorch
You can clone the source from github and run
python setup.py install