optimum
https://github.com/huggingface/optimum
Python
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
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- Issues
- [Stable Diffusion] Wrap the UNet under a for-loop in the ONNX graph
- Better support of TensorRT quantization in quantization examples
- forward() arguments are dropped
- Code snippets from `fx/quantization/functions.py` are failing
- [`BT`] WIP Fix some `accelerate` tests
- Whisper ONNX model speed drop when setting forced_decoder_ids
- Assistance exporting git-large to ONNX
- [BT] add BetterTransformer support for Blip architecture
- Proper handling of left-padded inputs
- Converting tensor to boolean in Whisper model conversion to onnx raises TraceWarning
- Docs
- Python not yet supported