Release 1.5.0
New functionality:
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Support Intel® Optimized TensorFlow v1.15.0 (most models are also compatible with Intel® Optimized TensorFlow v1.14.0)
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Add the management of pre-trained models with version control and update some INT8 pre-trained models
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Enable the inference accuracy and performance of Faster-RCNN & R-FCN with Python3
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Add training mode support for the following models:
** GNMT
** SSD-ResNet34
** Wide&Deep_Large_Dataset -
Enhance bare metal benchmark support
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Update Wide&Deep_large_Dataset with large feature column optimization
Bug fixes:
- Fix the inceptionv3, resnet101, resnet50, resnetv1.5 to run in TF1.14
- Fix python dependency requirements for SSD-ResNet34, Faster-RCNN, and R-FCN
- Fix MTCC bare metal test issues
- Fix GNMT FP32 inference issues
- Fix Mask-RCNN inference issues
- Fix some code format check issues
- Fix some security issues found by bandit scan
- Correct TensorFlow session config for MobileNet-v1 benchmark
- Fix Pillow version
Other changes:
- Change the FP32 performance test of RFCN and Faster-RCNN from checkpoint to PB
- Remove TensorFlow Server partial support
- Remove models that were failing because of TensorFlow API changes