Implementation for quantized training

[Petros626]

Hello,

I would like to know if you have implemented an implementation for quantised training of the specific model: ssd mobilenet v2 in your Object Detection API (https://github.com/tensorflow/models/tree/master/research/object_detection) like the TensorFlow team. From my research in the code it doesn't look like it, it is trained with float32 values. As we know, direct quantised training is better than quantising the model afterwards.

So the question would be how to implement this, are there already ready functions to quantise the model during training? I would appreciate a detailed and insightful answer.