99de913d4e45bcfa18a37ca05234d04b9857ce4d,bindsnet/learning/__init__.py,PostPre,_conv2d_connection_update,#PostPre#,123

Before Change

        self.connection.w += self.nu[1] * post.view(self.connection.w.size())

        // Bound weights.
        self.connection.w = torch.clamp(
            self.connection.w, self.connection.wmin, self.connection.wmax
        )


class Hebbian(LearningRule):
    // language=rst

After Change

        
        Post-pre learning rule for ``Conv2dConnection`` subclass of ``AbstractConnection`` class.
        
        super().update()

        // Get convolutional layer parameters.
        out_channels, _, kernel_height, kernel_width = self.connection.w.size()
        padding, stride = self.connection.padding, self.connection.stride

Instances