Welcome to Olive’s documentation!¶
Important
Olive is currently under pre-release. There will be constant updates and improvements to the functions and usage. Feel free to give feedback and suggestions to us.
This document introduces Olive and provides some examples to get you started.
OVERVIEW
GET STARTED
TUTORIALS
EXAMPLES
- Inception model optimization on Qualcomm NPU
- Cifar10 optimization with OpenVINO for Intel HW
- BERT optimization with QAT Customized Training Loop on CPU
- ResNet optimization with QAT Default Training Loop on CPU
- ResNet optimization with QAT PyTorch Lightning Module on CPU
- SqueezeNet latency optimization with DirectML
- Stable Diffusion optimization with DirectML
- BERT optimization with Intel® Neural Compressor Post Training quantization on CPU
- Whisper optimization using ORT toolchain
API REFERENCE