from infer_pack.models_onnx import SynthesizerTrnMs256NSFsid
import torch

person = "Shiroha/shiroha.pth"
exported_path = "model.onnx"



cpt = torch.load(person, map_location="cpu")
cpt["config"][-3]=cpt["weight"]["emb_g.weight"].shape[0]#n_spk
print(*cpt["config"])
net_g = SynthesizerTrnMs256NSFsid(*cpt["config"], is_half=False)
net_g.load_state_dict(cpt["weight"], strict=False)

test_phone = torch.rand(1, 200, 256)
test_phone_lengths = torch.tensor([200]).long()
test_pitch = torch.randint(size=(1 ,200),low=5,high=255)
test_pitchf = torch.rand(1, 200)
test_ds = torch.LongTensor([0])
test_rnd = torch.rand(1, 192, 200)
input_names = ["phone", "phone_lengths", "pitch", "pitchf", "ds", "rnd"]
output_names = ["audio", ]
device="cpu"
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)
            ),
            exported_path,
            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)