hey,
is there a quick way to fill filters with Gauss filters + noise. i am familiar with …
def weights_init(m):
    if isinstance(m, nn.Conv2d):
        m.weight.data.normal_(0, 0.02)
        m.bias.data.normal_(0, 0.001)

However I don’t know how to init s.t. we have gaussian filters.