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Intel® Low Precision Optimization Tool v1.0 Release
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@ftian1 ftian1 released this 30 Oct 15:24
· 3399 commits to master since this release
v1.0
8f7bbb5

Intel® Low Precision Optimization Tool v1.0 release is featured by:

  • Refined user facing APIs for best OOB.
  • Add TPE tuning strategies (Experimental).
  • Pruning POC support on PyTorch
  • TensorBoard POC support for tuning analysis.
  • Built-in INT8/Dummy dataloader Support.
  • Built-in Benchmarking support.
  • Tuning history for strategy finetune.
  • Support TF Keras and checkpoint model type as input.

Validated Configurations:

  • Python 3.6 & 3.7
  • Centos 7
  • Intel TensorFlow 1.15.2, 2.1.0, 2.2.0, 2.3.0 and 1.15UP1
  • PyTorch 1.5.0+cpu
  • MxNet 1.7.0

Distribution:

  Channel Links Install Command
Source Github https://github.com/intel/lp-opt-tool.git $ git clone https://github.com/intel/lp-opt-tool.git
Binary Pip https://pypi.org/project/ilit $ pip install ilit
Binary Conda https://anaconda.org/intel/ilit $ conda install ilit -c intel

Contact:

Please feel free to contact [email protected], if you get any questions.

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