b6240c06fb49020e2d51703a1fcfddba7e27297d,bindsnet/network/nodes.py,AdaptiveLIFNodes,__init__,#AdaptiveLIFNodes#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,762

Before Change

            "theta_decay", torch.empty_like(self.tc_theta_decay)
        )  // Set in _compute_decays.

        self.register_buffer(
            "v", self.rest * torch.ones(self.batch_size, *self.shape)
        )  // Neuron voltages.
        self.register_buffer(
            "theta", torch.zeros(self.batch_size, *self.shape)
        )  // Adaptive thresholds.
        self.register_buffer(
            "refrac_count", torch.zeros(self.batch_size, *self.shape)
        )  // Refractory period counters.
        self.lbound = lbound  // Lower bound of voltage.

After Change

        self.register_buffer(
            "theta_decay", torch.empty_like(self.tc_theta_decay)
        )  // Set in compute_decays.
        self.register_buffer("v", torch.FloatTensor())  // Neuron voltages.
        self.register_buffer("theta", torch.zeros(*self.shape))  // Adaptive thresholds.
        self.register_buffer(
            "refrac_count", torch.FloatTensor()
        )  // Refractory period counters.

        self.lbound = lbound  // Lower bound of voltage.
        self.one_spike = one_spike  // One spike per timestep.

Instances