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Bolts package provides a variety of components to extend PyTorch Lightning, such as callbacks & datasets, for applied research and production. Torch ORT converts your model into an optimized ONNX graph, speeding up training & inference when using NVIDIA or AMD GPUs. We can introduce sparsity during fine-tuning with SparseML, which ultimately allows us to leverage the DeepSparse engine to see performance improvements at inference time.
Features
- Accelerate Lightning Training with the Torch ORT Callback
- Documentation available
- Examples available
- Deep Learning components for extending PyTorch Lightning
- Torch ORT converts your model into an optimized ONNX graph
- Introduce Sparsity with the SparseMLCallback to Accelerate Inference
Project Samples
License
Apache License V2.0Follow Lightning Bolts
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