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Parameters of Gabor functions are NOT learnable #30

@iurii-chiryshev

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@iurii-chiryshev

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.

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