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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def unwrap_to_tensors(*tensors: torch.Tensor):
 """ If you actually passed gradient-tracking Tensors to a Metric, there will be a huge memory leak, because it will prevent garbage collection for the computation graph. This method ensures that you're using tensors directly and that they are on the CPU. """

        return (x.detach().cpu() if isinstance(x, torch.Tensor) else x for x in tensors)