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Intel® Low Precision Optimization Tool v1.0 Beta Release

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@ftian1 ftian1 released this 31 Aug 10:16
· 3410 commits to master since this release

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

  • Built-in dataloaders and evaluators
  • Add random and exhaustive tuning strategies
  • Mix precision tuning support on TensorFlow (INT8/BF16/FP32)
  • Quantization-aware training POC support on Pytorch
  • TensorFlow mainstream version support, including 1.15.2, 1.15UP1 and 2.1.0
  • 50+ models validated

Supported Models:

TensorFlow Model Category
ResNet50 V1 Image Recognition
ResNet50 V1.5 Image Recognition
ResNet101 Image Recognition
Inception V1 Image Recognition
Inception V2 Image Recognition
Inception V3 Image Recognition
Inception V4 Image Recognition
ResNetV2_50 Image Recognition
ResNetV2_101 Image Recognition
ResNetV2_152 Image Recognition
Inception ResNet V2 Image Recognition
SSD ResNet50 V1 Object Detection
Wide & Deep Recommendation
VGG16 Image Recognition
VGG19 Image Recognition
Style_transfer Style Transfer
PyTorch Model Category
BERT-Large RTE Language Translation
BERT-Large QNLI Language Translation
BERT-Large CoLA Language Translation
BERT-Base SST-2 Language Translation
BERT-Base RTE Language Translation
BERT-Base STS-B Language Translation
BERT-Base CoLA Language Translation
BERT-Base MRPC Language Translation
DLRM Recommendation
BERT-Large MRPC Language Translation
ResNext101_32x8d Image Recognition
BERT-Large SQUAD Language Translation
ResNet50 V1.5 Image Recognition
ResNet18 Image Recognition
Inception V3 Image Recognition
YOLO V3 Object Detection
Peleenet Image Recognition
ResNest50 Image Recognition
SE_ResNext50_32x4d Image Recognition
ResNet50 V1.5 QAT Image Recognition
ResNet18 QAT Image Recognition
MxNet Model Category
ResNet50 V1 Image Recognition
MobileNet V1 Image Recognition
MobileNet V2 Image Recognition
SSD-ResNet50 Object Detection
SqueezeNet V1 Image Recognition
ResNet18 Image Recognition
Inception V3 Image Recognition

Known Issues:

  • TensorFlow ResNet50 v1.5 int8 model will crash on TensorFlow 1.15 UP1 branch

Validated Configurations:

  • Python 3.6 & 3.7
  • Centos 7
  • Intel TensorFlow 1.15.2, 2.1.0 and 1.15UP1
  • PyTorch 1.5
  • MxNet 1.6

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 config --add channels intel $ conda install ilit

Contact:

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