|
|
| import network |
|
|
| class ModuleTypeGLora(network.ModuleType): |
| def create_module(self, net: network.Network, weights: network.NetworkWeights): |
| if all(x in weights.w for x in ["a1.weight", "a2.weight", "alpha", "b1.weight", "b2.weight"]): |
| return NetworkModuleGLora(net, weights) |
|
|
| return None |
|
|
| |
| class NetworkModuleGLora(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["a1.weight"] |
| self.w1b = weights.w["b1.weight"] |
| self.w2a = weights.w["a2.weight"] |
| self.w2b = weights.w["b2.weight"] |
|
|
| 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)] |
| updown = ((w2b @ w1b) + ((orig_weight.to(dtype = w1a.dtype) @ w2a) @ w1a)) |
|
|
| return self.finalize_updown(updown, orig_weight, output_shape) |
|
|
