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Commits on Jan 2, 2023

• Add a basic MobileBERT colab notebook.

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Commits on Dec 23, 2022

• Add __init__.py for modeling sub-directories.

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Commits on Dec 22, 2022

• Update QAT model path and F1 score, and added link for tensorboard/ckpt for the QAT.

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Commits on Dec 16, 2022

• Prioritize MRO order for the override quantization helper, and update arguments reflect to TFMOT repo updates.

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• Align mask softmax trick with edge TPU mobileBERT.

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Commits on Dec 13, 2022

• Remove dropout quantization.

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Commits on Dec 7, 2022

• Release QAT NLP repository.

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Commits on Aug 17, 2022

• Remove extra fake-quants near by UpSampling2D for the object detection model.

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Commits on Aug 3, 2022

• Update hyper-parameters for mobilenetV2 object detection task with QAT.

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• Remove redundant fake-quants for the object detection model.

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Commits on Jun 22, 2022

• Remove redundant fake-quants for the object detection model.

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• Remove redundant fake-quants for the object detection model.

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Commits on May 31, 2022

• Add adamW experimental optimzier.

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Commits on May 16, 2022

• Add decoder part quantization flag for the object detection model.

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• Add use_keras_layer flag for FPN.

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Commits on May 5, 2022

• Add weight copy logic for the head part of the object detection model.

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Commits on May 2, 2022

• Remove duplicated bias and activation from the quantized separable conv.

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Commits on Apr 29, 2022

• Internal change

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Commits on Apr 27, 2022

• Fix api exports for the RetinaNetHeadQuantized class.

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Commits on Apr 26, 2022

• Add head part quantization flag for the object detection model.

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Commits on Apr 22, 2022

• Internal change

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Commits on Feb 25, 2022

• Makes MV3 e2e quantized without any additional dequant op.

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Commits on Feb 22, 2022

• Internal change

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Commits on Jul 1, 2021

• Change activation/add/upsampling/identity to a keras layer form for the spinenet_mobile.

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Commits on Apr 14, 2021

• Change activation/add to a keras layer form for the ResNet50, MobilenetV2 default case.

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Commits on Apr 13, 2021

• Internal change

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Commits on Mar 12, 2020

• Internal change

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Commits on Jan 23, 2020

• Internal change

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Commits on Jan 14, 2020

• Apply model optimization pruning for image classification task.

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Commits on Jan 9, 2020

• Add a flag to switch layers module.

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Commits on Dec 18, 2019

• Enable v2 layers for resnet_model.

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• Recover global policy between tests.

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Commits on Dec 5, 2019

• Internal change

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Commits on Nov 27, 2019

• Add tensorflow-model-optimization dependency.

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