Intel® Low Precision Optimization Tool v1.1 Release
Intel® Low Precision Optimization Tool v1.1 release is featured by:
- New backends (PyTorch/IPEX, ONNX Runtime) backend preview support
- Add built-in industry dataset/metric and custom registration
- Preliminary input/output node auto-detection on TensorFlow models
- New INT8 quantization recipes: bias correction and label balance
Validated Configurations:
- Python 3.6 & 3.7
- Centos 7
- Intel TensorFlow 1.15.2, 2.1.0, 2.2.0, 2.3.0 and 1.15.0 UP1 & UP2
- PyTorch 1.5.0+cpu
- 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.