9f2a83c4ce192da805e18617ce2421bb80cfe8fe,snntoolbox/core/inisim.py,SpikeConv2DReLU,get_output,#SpikeConv2DReLU#Any#,220

Before Change

                pad_x = (self.nb_row - self.subsample[0]) // 2
                pad_y = (self.nb_col - self.subsample[1]) // 2
                conv_out = dnn.dnn_conv(img=inp,
                                        kerns=self.get_weights()[0],
                                        border_mode=(pad_x, pad_y),
                                        conv_mode=conv_mode)
            else:

After Change

            T.gt(1 / settings["dt"] - self.max_spikerate, epsilon),
            1 / (self.max_spikerate + 0.001), 1.0)
        updates.append((self.W, self.W * self.fac))
        updates.append((self.b, self.b * self.fac))

        // CALCULATE SYNAPTIC SUMMED INPUT
        border_mode = self.border_mode
        if on_gpu() and dnn.dnn_available():

Instances