(weight, module_name, type, writer, reconstruct_config, init_scaling=1)
| 13 | |
| 14 | |
| 15 | def get_replacement_module(weight, module_name, type, writer, reconstruct_config, init_scaling=1): |
| 16 | cfg = reconstruct_config[type] |
| 17 | if type == 'svd': |
| 18 | Ur, sr, Vrt = get_svd_grad(weight.detach(), cfg['rank']) |
| 19 | final_enc = torch.tensor(Ur @ sr, dtype=weight.dtype, device=weight.device) |
| 20 | final_dec = torch.tensor(Vrt, dtype=weight.dtype, device=weight.device) |
| 21 | else: |
| 22 | raise NotImplementedError(f"{type} is currently not supported.") |
| 23 | return final_enc, final_dec |
| 24 | |
| 25 | def get_replacement_module_grad(weight, type, reconstruct_config): |
| 26 | cfg = reconstruct_config[type] |
no test coverage detected