v1.4
版本发布时间: 2021-05-31 02:21:13
intel/neural-compressor最新发布版本:v2.6(2024-06-14 21:55:11)
Intel® Low Precision Optimization Tool v1.4 release is featured by:
Quantization
- PyTorch FX-based quantization support
- TensorFlow & ONNX RT quantization enhancement
Pruning
- Pruning/sparsity API refinement
- Magnitude-based pruning on PyTorch
Model Zoo
- INT8 key models updated (BERT on TensorFlow, DLRM on PyTorch, etc.)
- 20+ HuggingFace model quantization
User Experience
- More comprehensive logging message
- UI enhancement with FP32 optimization, auto-mixed precision (BF16/FP32), and graph visualization
- Online document: https://intel.github.io/lpot
Extended Capabilities
- Model conversion from QAT to Intel Optimized TensorFlow model
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, 1.7.0
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.