TorchMetrics is a collection of 100+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. It offers:
- A standardized interface to increase reproducibility
- Reduces Boilerplate
- Distributed-training compatible
- Rigorously tested
- Automatic accumulation over batches
- Automatic synchronization between multiple devices
You can use TorchMetrics in any PyTorch model, or within PyTorch Lightning to enjoy the following additional benefits:
- Your data will always be placed on the same device as your metrics
- You can log
~torchmetrics.Metricobjects directly in Lightning to reduce even more boilerplate
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For pip users
pip install torchmetricsOr directly from conda
conda install -c conda-forge torchmetrics</div>
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pages/quickstart all-metrics pages/overview pages/plotting pages/implement pages/lightning
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