| import network | |
| class ModuleTypeFull(network.ModuleType): | |
| def create_module(self, net: network.Network, weights: network.NetworkWeights): | |
| if all(x in weights.w for x in ["diff"]): | |
| return NetworkModuleFull(net, weights) | |
| return None | |
| class NetworkModuleFull(network.NetworkModule): | |
| def __init__(self, net: network.Network, weights: network.NetworkWeights): | |
| super().__init__(net, weights) | |
| self.weight = weights.w.get("diff") | |
| self.ex_bias = weights.w.get("diff_b") | |
| def calc_updown(self, orig_weight): | |
| output_shape = self.weight.shape | |
| updown = self.weight.to(orig_weight.device, dtype=orig_weight.dtype) | |
| if self.ex_bias is not None: | |
| ex_bias = self.ex_bias.to(orig_weight.device, dtype=orig_weight.dtype) | |
| else: | |
| ex_bias = None | |
| return self.finalize_updown(updown, orig_weight, output_shape, ex_bias) | |