Intel® Neural Compressor v1.8.1 Release
Features
- Knowledge distillation
- Supported knowledge distillation on TensorFlow
- Pruning
- Support Multi-node training on TensorFlow
- Acceleration library
- Supported Hugging Face minilm_l6_h384_uncased_sst2, bert_base_cased_mrpc, and bert_base_nli_mean_tokens_stsb models
Validated Configurations
- Python 3.6 & 3.7 & 3.8 & 3.9
- Centos 8.3 & Ubuntu 18.04
- TensorFlow 2.6.2 & 2.7
- 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 [email protected], if you get any questions.