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Configuration error
Configuration error
import torch | |
from infer.lib.infer_pack.models_onnx import SynthesizerTrnMsNSFsidM | |
if __name__ == "__main__": | |
MoeVS = True # 模型是否为MoeVoiceStudio(原MoeSS)使用 | |
ModelPath = "Shiroha/shiroha.pth" # 模型路径 | |
ExportedPath = "model.onnx" # 输出路径 | |
hidden_channels = 256 # hidden_channels,为768Vec做准备 | |
cpt = torch.load(ModelPath, map_location="cpu") | |
cpt["config"][-3] = cpt["weight"]["emb_g.weight"].shape[0] # n_spk | |
print(*cpt["config"]) | |
test_phone = torch.rand(1, 200, hidden_channels) # hidden unit | |
test_phone_lengths = torch.tensor([200]).long() # hidden unit 长度(貌似没啥用) | |
test_pitch = torch.randint(size=(1, 200), low=5, high=255) # 基频(单位赫兹) | |
test_pitchf = torch.rand(1, 200) # nsf基频 | |
test_ds = torch.LongTensor([0]) # 说话人ID | |
test_rnd = torch.rand(1, 192, 200) # 噪声(加入随机因子) | |
device = "cpu" # 导出时设备(不影响使用模型) | |
net_g = SynthesizerTrnMsNSFsidM( | |
*cpt["config"], is_half=False | |
) # fp32导出(C++要支持fp16必须手动将内存重新排列所以暂时不用fp16) | |
net_g.load_state_dict(cpt["weight"], strict=False) | |
input_names = ["phone", "phone_lengths", "pitch", "pitchf", "ds", "rnd"] | |
output_names = [ | |
"audio", | |
] | |
# net_g.construct_spkmixmap(n_speaker) 多角色混合轨道导出 | |
torch.onnx.export( | |
net_g, | |
( | |
test_phone.to(device), | |
test_phone_lengths.to(device), | |
test_pitch.to(device), | |
test_pitchf.to(device), | |
test_ds.to(device), | |
test_rnd.to(device), | |
), | |
ExportedPath, | |
dynamic_axes={ | |
"phone": [1], | |
"pitch": [1], | |
"pitchf": [1], | |
"rnd": [2], | |
}, | |
do_constant_folding=False, | |
opset_version=16, | |
verbose=False, | |
input_names=input_names, | |
output_names=output_names, | |
) | |