runtime error
Exit code: 1. Reason: bjects 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. params = torch.load(path, map_location="cpu")["net"] /home/user/app/ljspeechimportable.py:661: 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. params_whole = torch.load("Models/Kaede.pth", map_location='cpu') bert loaded bert_encoder loaded predictor loaded decoder loaded text_encoder loaded predictor_encoder loaded style_encoder loaded diffusion loaded text_aligner loaded pitch_extractor loaded mpd loaded msd loaded wd loaded Traceback (most recent call last): File "/home/user/app/app.py", line 38, in <module> import spaces File "/usr/local/lib/python3.10/site-packages/spaces/__init__.py", line 19, in <module> from .zero.decorator import GPU File "/usr/local/lib/python3.10/site-packages/spaces/zero/__init__.py", line 15, in <module> raise RuntimeError( RuntimeError: CUDA has been initialized before importing the `spaces` package
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