runtime error

Exit code: 1. Reason: local/lib/python3.10/site-packages/torch/nn/utils/weight_norm.py:143: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. WeightNorm.apply(module, name, dim) /app/app.py:210: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. cpt = torch.load(f"/weights/{category_folder}/{character_name}/{model_name}", map_location="cpu") Starting up. Please be patient... 没有发现支持的N卡, 使用CPU进行推理 Preloading RMVPE model 没有发现支持的N卡, 使用CPU进行推理 Preloading VCs... Creating category Hololive Japan... Indexed model Tokino Sora by RigidSpinner (v2) Traceback (most recent call last): File "/app/app.py", line 274, in <module> categories = load_model() File "/app/app.py", line 210, in load_model cpt = torch.load(f"/weights/{category_folder}/{character_name}/{model_name}", map_location="cpu") File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 1384, in load return _legacy_load( File "/usr/local/lib/python3.10/site-packages/torch/serialization.py", line 1628, in _legacy_load magic_number = pickle_module.load(f, **pickle_load_args) ValueError: could not convert string to int

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