tensorflow / tensorflow/model-optimization
Quantized wrapped layer non-trainable
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@Xhark is already working on this.
Since Apr 18, 2021.
feature request
technique:qat
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Description
Hello all,
I am working on trying some logic on top of QAT where i will make few of the layers during QAT non-trainable based on some logic. I am currently seeing there is no such support in QAT (as of now Quantize Wrapper on top of a layer will ensure layer weights will be trainable during model training). I can see some layer trainable functions defined for Quantized wrapped layer in quantize_wrapper.py but this is not achieving the objective what i have mentioned above. Is there anyway i can achieve this.
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