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Anyone know if there are plans for TF to straighten out their quantization-aware training story?

Where I work, we need to quantize our models to run them quick enough, and we found that Quantization Aware Training is the only one that has a chance of retaining the desired accuracy. Using Post-training Quantization incurs too many losses.

However, QAT is incredibly difficult and cumbersome in TF 2 because it only applies to models defined through the functional API, whereas many interesting models use for example the object-oriented approach of defining a model.

Does anyone know if there are plans to make QAT easier to use in the future?

submitted by /u/wattnurt
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