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Intel® Low Precision Optimization Tool v1.4 Release

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@ftian1 ftian1 released this 30 May 18:21
· 3141 commits to master since this release
v1.4
eb89be9

Intel® Low Precision Optimization Tool v1.4 release is featured by:

Quantization

  1. PyTorch FX-based quantization support
  2. TensorFlow & ONNX RT quantization enhancement

Pruning

  1. Pruning/sparsity API refinement
  2. Magnitude-based pruning on PyTorch

Model Zoo

  1. INT8 key models updated (BERT on TensorFlow, DLRM on PyTorch, etc.)
  2. 20+ HuggingFace model quantization

User Experience

  1. More comprehensive logging message
  2. UI enhancement with FP32 optimization, auto-mixed precision (BF16/FP32), and graph visualization
  3. Online document: https://intel.github.io/lpot

Extended Capabilities

  1. 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.

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