Intel Model Zoo v2.5.0

New Functionality

New Models

• ML-Perf Transformer-LT Training (FP32 and BFloat16)
• ML-Perf Transformer-LT Inference (FP32, BFloat16 and INT8)
• ML-Perf 3D-Unet Inference (FP32, BFloat16 and INT8)
• DIEN Training (FP32)
• DIEN Inference (FP32 and BFloat16)

Other features and bug fixes

• Added IPython Notebook with BERT classifier fine tuning using IMDb
• Documentation for creating an LPOT Container with Intel® Optimizations for TensorFlow
• Advanced documentation for wide deep large ds fp32 training
• Increase Unit testing coverage

DL Frameworks (TensorFlow)

• Support for TensorFlow v2.6.0 and TensorFlow Serving v2.6.0

DL Frameworks (PyTorch)

• Support for PyTorch v1.9.0 and IPEX v1.9.0

Supported Configurations

Intel Model Zoo 2.5.0 is validated on the following environment:

• Ubuntu 20.04 LTS
• Python 3.8
• Docker Server v19+
• Docker Client v18+