v1.1.0

Release 1.1.0

Benchmarking Scripts

• Added links to download pre-trained models for: ResNet50, ResNet101, Fast RCNN, Inception V3, Wide & Deep, Mask RCNN, and NCF
• Added --output-dir flag to launch_benchmarks.py to allow specifying a custom output directory
• Added ability to allow user-specified environment variables
• Added accuracy metrics for SSD-MobileNet FP32

New benchmarking scripts:

• Image Segmentation
  • UNet FP32 inference
• Language Translation
  • Transformer Language FP32 inference

New Documentation

• Image Recognition with ResNet50 Tutorial
• Launch Benchmark script documentation

Bug Fixes

• Fixed launch_benchmarks.py to allow killing the container using ctrl-c

Other Updates

• Updated TensorFlow Serving Installation Guide
• Linked Intel-Optimized TensorFlow Installation Guide