runtime error

Exit code: 1. Reason: mer, 'dropout': 0.1, 'attention_dropout': 0.1, 'activation_dropout': 0.0, 'encoder_layerdrop': 0.05, 'dropout_input': 0.1, 'dropout_features': 0.1, 'final_dim': 256, 'untie_final_proj': True, 'layer_norm_first': False, 'conv_feature_layers': '[(512,10,5)] + [(512,3,2)] * 4 + [(512,2,2)] * 2', 'conv_bias': False, 'logit_temp': 0.1, 'target_glu': False, 'feature_grad_mult': 0.1, 'mask_length': 10, 'mask_prob': 0.8, 'mask_selection': static, 'mask_other': 0.0, 'no_mask_overlap': False, 'mask_min_space': 1, 'mask_channel_length': 10, 'mask_channel_prob': 0.0, 'mask_channel_selection': static, 'mask_channel_other': 0.0, 'no_mask_channel_overlap': False, 'mask_channel_min_space': 1, 'conv_pos': 128, 'conv_pos_groups': 16, 'latent_temp': [2.0, 0.5, 0.999995], 'skip_masked': False, 'skip_nomask': False, 'checkpoint_activations': False, 'required_seq_len_multiple': 2, 'depthwise_conv_kernel_size': 31, 'attn_type': '', 'pos_enc_type': 'abs', 'fp16': False} /usr/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) 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 269, in <module> categories = load_model() File "/app/app.py", line 206, in load_model cpt = torch.load(f"/weights/{category_folder}/{character_name}/{model_name}", map_location="cpu", pickle_module=pickle) 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

Container logs: