import lyco_helpers import network class ModuleTypeHada(network.ModuleType): def create_module(self, net: network.Network, weights: network.NetworkWeights): if all(x in weights.w for x in ["hada_w1_a", "hada_w1_b", "hada_w2_a", "hada_w2_b"]): return NetworkModuleHada(net, weights) return None class NetworkModuleHada(network.NetworkModule): def __init__(self, net: network.Network, weights: network.NetworkWeights): super().__init__(net, weights) if hasattr(self.sd_module, 'weight'): self.shape = self.sd_module.weight.shape self.w1a = weights.w["hada_w1_a"] self.w1b = weights.w["hada_w1_b"] self.dim = self.w1b.shape[0] self.w2a = weights.w["hada_w2_a"] self.w2b = weights.w["hada_w2_b"] self.t1 = weights.w.get("hada_t1") self.t2 = weights.w.get("hada_t2") def calc_updown(self, orig_weight): w1a = self.w1a.to(orig_weight.device) w1b = self.w1b.to(orig_weight.device) w2a = self.w2a.to(orig_weight.device) w2b = self.w2b.to(orig_weight.device) output_shape = [w1a.size(0), w1b.size(1)] if self.t1 is not None: output_shape = [w1a.size(1), w1b.size(1)] t1 = self.t1.to(orig_weight.device) updown1 = lyco_helpers.make_weight_cp(t1, w1a, w1b) output_shape += t1.shape[2:] else: if len(w1b.shape) == 4: output_shape += w1b.shape[2:] updown1 = lyco_helpers.rebuild_conventional(w1a, w1b, output_shape) if self.t2 is not None: t2 = self.t2.to(orig_weight.device) updown2 = lyco_helpers.make_weight_cp(t2, w2a, w2b) else: updown2 = lyco_helpers.rebuild_conventional(w2a, w2b, output_shape) updown = updown1 * updown2 return self.finalize_updown(updown, orig_weight, output_shape)