Intel® Low Precision Optimization Tool v1.5 release is featured by:

• Add pattern-lock sparsity algorithm for NLP fine-tuning tasks
  • Up to 70% unstructured sparsity and 50% structured sparsity with <2% accuracy loss on 5 Bert finetuning tasks
• Add NLP head pruning algorithm for HuggingFace models
  • Performance speedup up to 3.0X within 1.5% accuracy loss on HuggingFace BERT SST-2
• Support model optimization pipeline
• Integrate SigOPT with multi-metrics optimization
  • Complementary as basic strategy to speed up the tuning
• Support TensorFlow 2.5, PyTorch 1.8, and ONNX Runtime 1.8

Validated Configurations:

• Python 3.6 & 3.7 & 3.8 & 3.9
• Centos 8.3 & Ubuntu 18.04
• Intel TensorFlow 1.15.2, 2.1.0, 2.2.0, 2.3.0, 2.4.0, 2.5.0 and 1.15.0 UP1 & UP2 & UP3
• PyTorch 1.5.0+cpu, 1.6.0+cpu, 1.8.0+cpu, ipex
• MxNet 1.6.0, 1.7.0
• ONNX Runtime 1.6.0, 1.7.0, 1.8.0

Distribution:

Contact:

Please feel free to contact lpot.maintainers@intel.com, if you get any questions.