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@aipgbot-orca aipgbot-orca released this 02 Apr 23:38
v1.3.0
0ad7787

Release 1.3.0

New benchmarking scripts:

  • FaceNet FP32 inference
  • GNMT FP32 inference
  • Inception ResNet V2 Int8 inference
  • Inception V4 Int8 inference
  • MTCC FP32 inference
  • RFCN Int8 inference
  • SSD-MobileNet Int8 inference
  • SSD-ResNet34 FP32 inference
  • Transformer LT Official FP32 inference

Other script changes and bug fixes:

  • Renamed Fast RCNN to Faster RCNN
  • Fixed SSD-MobileNet FP32 inference container error with python3
  • Added python file to download and preprocess the Wide and Deep census dataset
  • Added ability for ResNet50 FP32 --output-results to work with benchmarking
  • Added --data-num-inter-threads and --data-num-intra-threads to the launch script (currently supported by ResNet50, ResNet101, and InceptionV3)
  • Added data layer optimization and calibration option for ResNet50, ResNet101 and InceptionV3
  • Bug fixes and an arg update for Wide and Deep large dataset
  • Only print lscpu info with verbose logging
  • Reduced duplicated code in Wide and Deep inference scripts
  • Added ability to run benchmarking script without docker
  • ResNet50 fix for the issue of not reporting the average of all segments

New tutorials:

  • ResNet101 and Inception V3 tutorial contents
  • TensorFlow Serving Object Detection Tutorial
  • TensorFlow Recommendation System Tutorial
  • ResNet50 Quantization Tutorial

Documentation updates:

  • Improved main README with repo purpose and structure
  • Updated NCF README file
  • Added links to the arXiv papers for each model
  • Updated TF Serving BKMs for split parallelism vars
  • Added note to TF BKM about KMP_AFFINITY when HT is off
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