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Compatiblity with PyTorch 2.4+ (weights_only default value changed) #619

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@const-volatile const-volatile commented Dec 30, 2024

Starting from version 2.4 PyTorch introduces a stricter check for the objects which can be loaded with torch.load(); to use bark successfully with PyTorch>=2.4 the weights_only attribute needs to be set explicitly.

Without this change the following error will occur:

python3 -m bark --text "Hello, my name is Suno." --output_filename "example.wav"

Oops, an error occurred: Weights only load failed. This file can still be loaded, to do so you have two options, do those steps only if you trust the source of the checkpoint. 
	(1) In PyTorch 2.6, we changed the default value of the `weights_only` argument in `torch.load` from `False` to `True`. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution. Do it only if you got the file from a trusted source.
	(2) Alternatively, to load with `weights_only=True` please check the recommended steps in the following error message.
	WeightsUnpickler error: Unsupported global: GLOBAL numpy.core.multiarray.scalar was not an allowed global by default. Please use `torch.serialization.add_safe_globals([scalar])` or the `torch.serialization.safe_globals([scalar])` context manager to allowlist this global if you trust this class/function.

Check the documentation of torch.load to learn more about types accepted by default with weights_only https://pytorch.org/docs/stable/generated/torch.load.html.

Starting from version 2.4 PyTorch introduces a stricter check for the objects which can be loaded with torch.load(); to use bark successfully with PyTorch>=2.4 the weights_only attribute needs to be set explicitly
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