f7cd20b56dd5b290ddfa1dc9a17d516b112a0baf,snntoolbox/simulation/backends/inisim/temporal_pattern.py,SpikeMaxPooling2D,call,#SpikeMaxPooling2D#Any#Any#,487

Before Change

        updates = self.update_spikevars(activ)

        with tf.control_dependencies(updates):
            return activ + 0


custom_layers = {"SpikeFlatten": SpikeFlatten,
                 "SpikeDense": SpikeDense,
                 "SpikeConv2D": SpikeConv2D,
                 "SpikeAveragePooling2D": SpikeAveragePooling2D,

After Change

    def call(self, x, mask=None):
        activ = MaxPooling2D.call(self, x)
        self.spikerates.assign(activ)
        return activ


custom_layers = {"SpikeFlatten": SpikeFlatten,

Instances