Traceback (most recent call last):
File "/home/notebook/code/personal/so-vits-svc/inference_main.py", line 164, in <module>
main()
File "/home/notebook/code/personal/so-vits-svc/inference_main.py", line 95, in main
svc_model = Svc(args.model_path,
File "/home/notebook/code/personal/so-vits-svc/inference/infer_tool.py", line 164, in __init__
self.load_model(spk_mix_enable)
File "/home/notebook/code/personal/so-vits-svc/inference/infer_tool.py", line 194, in load_model
_ = utils.load_checkpoint(self.net_g_path, self.net_g_ms, None)
File "/home/notebook/code/personal/so-vits-svc/utils.py", line 153, in load_checkpoint
checkpoint_dict = torch.load(checkpoint_path, map_location='cpu')
File "/home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/serialization.py", line 713, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "/home/notebook/code/personal/so-vits-svc/.venv/lib/python3.9/site-packages/torch/serialization.py", line 920, in _legacy_load
magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, '\x08'.
请勾选下方的确认框。
系统平台版本号
Ubuntu 18.04
GPU 型号
V100 32G
Python版本
3.9.13
PyTorch版本
1.12.1
sovits分支
4.0(默认)
数据集来源(用于判断数据集质量)
内部TTS数据
出现问题的环节或执行的命令
推理:python inference_main.py
问题描述
已经使用onnx_export.py将模型(G_*.pth)转换为onnx格式。如何在推理阶段加载该onnx模型?
执行命令: python inference_main.py \ -m "checkpoints//G_53600.onnx" \ -c "logs/44k/config_onnx.json" \ -s -n $audio_files -t 0 \ --f0_predictor pm \
日志
截图
so-vits-svc
、logs/44k
文件夹并粘贴到此处不涉及
补充说明
No response