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Intel® Low Precision Optimization Tool v1.3 Release

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@ftian1 ftian1 released this 16 Apr 14:58
· 3216 commits to master since this release
v1.3
6e431db

Intel® Low Precision Optimization Tool v1.3 release is featured by:

  1. FP32 optimization & auto-mixed precision (BF16/FP32) for TensorFlow
  2. Dynamic quantization support for PyTorch
  3. ONNX Runtime v1.7 support
  4. Configurable benchmarking support (multi-instances, warmup, etc.)
  5. Multiple batch size calibration & mAP metrics for object detection models
  6. Experimental user facing APIs for better usability
  7. Various HuggingFace models support

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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