Intel® Neural Compressor v1.7.1 Release
Intel® Neural Compressor(formerly known as Intel® Low Precision Optimization Tool) v1.7 release is featured by:
Features
- Acceleration library
- Support unified buffer memory allocation policy
Ecosystem
- Upstreamed INC quantized models (alexnet/caffenet/googlenet/squeezenet) to ONNX Model Zoo
Documentation
- Performance and accuracy data update
Validated Configurations
- Python 3.6 & 3.7 & 3.8 & 3.9
- Centos 8.3 & Ubuntu 18.04
- TensorFlow 2.6.0
- Intel TensorFlow 2.4.0, 2.5.0 and 1.15.0 UP3
- PyTorch 1.8.0+cpu, 1.9.0+cpu, IPEX 1.8.0
- MxNet 1.6.0, 1.7.0, 1.8.0
- ONNX Runtime 1.6.0, 1.7.0, 1.8.0
Distribution:
Channel | Links | Install Command | |
---|---|---|---|
Source | Github | https://github.com/intel/neural-compressor.git | $ git clone https://github.com/intel/neural-compressor.git |
Binary | Pip | https://pypi.org/project/neural-compressor | $ pip install neural-compressor |
Binary | Conda | https://anaconda.org/intel/neural-compressor | $ conda install neural-compressor -c conda-forge -c intel |
Contact:
Please feel free to contact INC Maintainers, if you get any questions.