Intel® Low Precision Optimization Tool v1.2 Release
Intel® Low Precision Optimization Tool v1.2 release is featured by:
- Broad TensorFlow model type support
- operator-wise quantization scheme for ONNX RT
- MSE driven tuning for metric-free use cases
- UX improvement, including UI web server preview support
- More key model supports
Validated Configurations:
- Python 3.6 & 3.7 & 3.8
- Centos 7 & Ubuntu 18.04
- Intel TensorFlow 1.15.2, 2.1.0, 2.2.0, 2.3.0, 2.4.0 and 1.15.0 UP1 & UP2
- PyTorch 1.5.0+cpu, 1.6.0+cpu, ipex
- MxNet 1.7.0
- ONNX Runtime 1.6.0
Distribution:
| Channel | Links | Install Command | |
|---|---|---|---|
| Source | Github | https://github.com/intel/lpot.git | $ git clone https://github.com/intel/lpot.git |
| Binary | Pip | https://pypi.org/project/lpot | $ pip install lpot |
| Binary | Conda | https://anaconda.org/intel/lpot | $ conda install lpot -c conda-forge -c intel |
Contact:
Please feel free to contact lpot.maintainers@intel.com, if you get any questions.