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Tracking TFMOT 1.0.0 Release #371

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@alanchiao

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@alanchiao
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This issue tracks potential changes that would be made in a 1.0.0 release.
This should be quite far off at this point.

Pruning:

  • see how pruning the kernel in DepthwiseConv2D influences converging accuracy. If not significant, prune by default. (prune_registry.py)
  • use only tf.math.divide instead of tf.div for 1.XX (pruning_schedule.py > PolynomialDecay > call )

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    technique:allApplicable to all techniques and TFMOT collectively.Applicable to all techniques and TFMOT collectively.

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