1be7c5996fa959572854044d3cc580a2abc6bfa7,snntoolbox/core/inisim.py,,init_neurons,#Any#Any#Any#,266

Before Change

    if settings["online_normalization"]:
        self.max_spikerate = theano.shared(np.asarray([0.0], "float32"))
    if self.layer_type == "SpikeMaxPooling2D":
        prev_layer = self.inbound_nodes[0].inbound_layers[0]
        prev_layer.spikerate = shared_zeros(self.output_shape)


def get_new_thresh(self, time):

After Change

def init_neurons(self, input_shape, tau_refrac=0.0):
    Init layer neurons.

    output_shape = self.get_output_shape_for(input_shape)
    self.v_thresh = shared_x(settings["v_thresh"], name="v_thresh")
    self.tau_refrac = tau_refrac
    self.mem = theano.shared(np.zeros(output_shape, floatX))
    self.layer_type = self.__class__.__name__
    // To save memory and computations, allocate only where needed:
    if settings["tau_refrac"] > 0:
        self.refrac_until = theano.shared(np.zeros(output_shape, floatX))

Instances