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GaborConv2d implementation does not change the filter parameters (freq, sigma, theta, etc.) during training.
Tested with torch 2.3.0+cu121
If you create a simple network with GaborConv2d first layer, and check the values and gradients for sigma, theta, etc. during training. Values of these parameters will not change, and their gradients will be None.