Sets mini-batch size. Called when layer is added to a network. :param batch_size: Mini-batch size.
(self, batch_size)
| 1133 | ) # Adaptive threshold decay (per timestep). |
| 1134 | |
| 1135 | def set_batch_size(self, batch_size) -> None: |
| 1136 | # language=rst |
| 1137 | """ |
| 1138 | Sets mini-batch size. Called when layer is added to a network. |
| 1139 | |
| 1140 | :param batch_size: Mini-batch size. |
| 1141 | """ |
| 1142 | super().set_batch_size(batch_size=batch_size) |
| 1143 | self.v = self.rest * torch.ones(batch_size, *self.shape, device=self.v.device) |
| 1144 | self.refrac_count = torch.zeros_like(self.v, device=self.refrac_count.device) |
| 1145 | |
| 1146 | |
| 1147 | class IzhikevichNodes(Nodes): |
nothing calls this directly
no test coverage detected