| import torch |
|
|
| import lyco_helpers |
| import network |
|
|
|
|
| class ModuleTypeLokr(network.ModuleType): |
| def create_module(self, net: network.Network, weights: network.NetworkWeights): |
| has_1 = "lokr_w1" in weights.w or ("lokr_w1_a" in weights.w and "lokr_w1_b" in weights.w) |
| has_2 = "lokr_w2" in weights.w or ("lokr_w2_a" in weights.w and "lokr_w2_b" in weights.w) |
| if has_1 and has_2: |
| return NetworkModuleLokr(net, weights) |
|
|
| return None |
|
|
|
|
| def make_kron(orig_shape, w1, w2): |
| if len(w2.shape) == 4: |
| w1 = w1.unsqueeze(2).unsqueeze(2) |
| w2 = w2.contiguous() |
| return torch.kron(w1, w2).reshape(orig_shape) |
|
|
|
|
| class NetworkModuleLokr(network.NetworkModule): |
| def __init__(self, net: network.Network, weights: network.NetworkWeights): |
| super().__init__(net, weights) |
|
|
| self.w1 = weights.w.get("lokr_w1") |
| self.w1a = weights.w.get("lokr_w1_a") |
| self.w1b = weights.w.get("lokr_w1_b") |
| self.dim = self.w1b.shape[0] if self.w1b is not None else self.dim |
| self.w2 = weights.w.get("lokr_w2") |
| self.w2a = weights.w.get("lokr_w2_a") |
| self.w2b = weights.w.get("lokr_w2_b") |
| self.dim = self.w2b.shape[0] if self.w2b is not None else self.dim |
| self.t2 = weights.w.get("lokr_t2") |
|
|
| def calc_updown(self, orig_weight): |
| if self.w1 is not None: |
| w1 = self.w1.to(orig_weight.device, dtype=orig_weight.dtype) |
| else: |
| w1a = self.w1a.to(orig_weight.device, dtype=orig_weight.dtype) |
| w1b = self.w1b.to(orig_weight.device, dtype=orig_weight.dtype) |
| w1 = w1a @ w1b |
|
|
| if self.w2 is not None: |
| w2 = self.w2.to(orig_weight.device, dtype=orig_weight.dtype) |
| elif self.t2 is None: |
| w2a = self.w2a.to(orig_weight.device, dtype=orig_weight.dtype) |
| w2b = self.w2b.to(orig_weight.device, dtype=orig_weight.dtype) |
| w2 = w2a @ w2b |
| else: |
| t2 = self.t2.to(orig_weight.device, dtype=orig_weight.dtype) |
| w2a = self.w2a.to(orig_weight.device, dtype=orig_weight.dtype) |
| w2b = self.w2b.to(orig_weight.device, dtype=orig_weight.dtype) |
| w2 = lyco_helpers.make_weight_cp(t2, w2a, w2b) |
|
|
| output_shape = [w1.size(0) * w2.size(0), w1.size(1) * w2.size(1)] |
| if len(orig_weight.shape) == 4: |
| output_shape = orig_weight.shape |
|
|
| updown = make_kron(output_shape, w1, w2) |
|
|
| return self.finalize_updown(updown, orig_weight, output_shape) |
|
|
