I am training a CNN model using Pytorch.
I have identified filters with low variance/magnitude for my input dataset and want to train only these filters for new auxiliary data.
I want to freeze the rest of the filters/channels in the give layer.
How could I go about achieving this ? I did not find any latest PyTorch implementation for the same