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In my network, there is a depth_to_sparse operation, which contains no learn-able parameters. What I want is to skip this to do a quantization aware training with this layer NOT trained (skipped during back-propagation). Can I do retrain my model using Graffitist?
The text was updated successfully, but these errors were encountered:
In my network, there is a depth_to_sparse operation, which contains no learn-able parameters. What I want is to skip this to do a quantization aware training with this layer NOT trained (skipped during back-propagation). Can I do retrain my model using Graffitist?
The text was updated successfully, but these errors were encountered: