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Release 1.1.0

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@chuanqi129 chuanqi129 released this 05 Aug 16:43
· 1 commit to master since this release
v1.1.0
00d591f

This release of Intel® AI Quantization Tools for TensorFlow* 1.1.0 is released under v1.1.0 tag (https://github.com/IntelAI/tools/tree/v1.1.0). Please notes that Intel® AI Quantization Tools for TensorFlow* requires Intel® Optimizations for TensorFlow. Intel® AI Quantization Tools for Tensorflow 1.1.0 is the last official release and the code has been migrated to Intel® Low Precision Inference Tool (iLiT) as one of backend framework engines. This revision contains the following features and fixes:

New functionality:

  • Add experimental KL Divergence and Moving Average algorithms to the tool

  • Add support using the Intel® AI Quantization Tool for TensoFlow* Python Programming APIs for the following out-of-box models:

    • ResNet-50v1.0

    • ResNet-50v1.5

    • ResNet-101

    • SSD-ResNet34

    • MobileNetv1

    • SSD-MobileNet

    • Faster-RCNN

    • R-FCN

    • Inception_v3

    • inception_v1

    • inception_v2

    • inception_v4

    • vgg_16

    • vgg_19

    • mobilenet_v2

    • mobilenet_v1

    • resnet_v1_152

    • resnet_v1_50

    • mask_rcnn_resnet50 (not for ITF2.1)

    • mask_rcnn_resnet101 (not for ITF2.1)

    • mask_rcnn_inception_v2

    • mask_rcnn_inception_resnet_v2 (not for ITF2.1)

    • faster_rcnn_resnet101

    • rfcn_resnet101

    • faster_rcnn_resnet50

    • faster_rcnn_inception_v2

    • ssd_resnet50_v1

    • ssd_mobilenet_v1

    • resnet_v2_101

    • resnet_v2_152

    • resnet_v2_50

    • inception_resnet_v2

  • Add Convolution/FusedBatchnormv3 fusion supporting

Bug fixes:

  • Fix several bugs introduced by quantize_graph refactor.

  • Fix the flake8 errors.

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