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| import os | |
| import torch | |
| from collections import OrderedDict | |
| def replace_keys_in_dict(d, old_key_part, new_key_part): | |
| # Use OrderedDict if the original is an OrderedDict | |
| if isinstance(d, OrderedDict): | |
| updated_dict = OrderedDict() | |
| else: | |
| updated_dict = {} | |
| for key, value in d.items(): | |
| # Replace the key part if found | |
| new_key = key.replace(old_key_part, new_key_part) | |
| # If the value is a dictionary, apply the function recursively | |
| if isinstance(value, dict): | |
| value = replace_keys_in_dict(value, old_key_part, new_key_part) | |
| updated_dict[new_key] = value | |
| return updated_dict | |
| def extract_model(ckpt, sr, if_f0, name, model_dir, epoch, version, hps): | |
| try: | |
| print(f"Saved model '{model_dir}' (epoch {epoch})") | |
| pth_file = f"{name}_{epoch}e.pth" | |
| pth_file_old_version_path = os.path.join( | |
| model_dir, f"{pth_file}_old_version.pth" | |
| ) | |
| opt = OrderedDict( | |
| weight={ | |
| key: value.half() for key, value in ckpt.items() if "enc_q" not in key | |
| } | |
| ) | |
| opt["config"] = [ | |
| hps.data.filter_length // 2 + 1, | |
| 32, | |
| hps.model.inter_channels, | |
| hps.model.hidden_channels, | |
| hps.model.filter_channels, | |
| hps.model.n_heads, | |
| hps.model.n_layers, | |
| hps.model.kernel_size, | |
| hps.model.p_dropout, | |
| hps.model.resblock, | |
| hps.model.resblock_kernel_sizes, | |
| hps.model.resblock_dilation_sizes, | |
| hps.model.upsample_rates, | |
| hps.model.upsample_initial_channel, | |
| hps.model.upsample_kernel_sizes, | |
| hps.model.spk_embed_dim, | |
| hps.model.gin_channels, | |
| hps.data.sampling_rate, | |
| ] | |
| opt["info"], opt["sr"], opt["f0"], opt["version"] = epoch, sr, if_f0, version | |
| torch.save(opt, model_dir) | |
| model = torch.load(model_dir, map_location=torch.device("cpu")) | |
| torch.save( | |
| replace_keys_in_dict( | |
| replace_keys_in_dict( | |
| model, ".parametrizations.weight.original1", ".weight_v" | |
| ), | |
| ".parametrizations.weight.original0", | |
| ".weight_g", | |
| ), | |
| pth_file_old_version_path, | |
| ) | |
| os.remove(model_dir) | |
| os.rename(pth_file_old_version_path, model_dir) | |
| except Exception as error: | |
| print(error) | |