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