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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 get_loss(self, y_pred, y_true, X=None, training=False):
 """Return the loss for this batch. Parameters y_pred : torch tensor Predicted target values y_true : torch tensor True target values. X : input data, compatible with skorch.dataset.Dataset By default, you should be able to pass: * numpy arrays * torch tensors * pandas DataFrame or Series * scipy sparse CSR matrices * a dictionary of the former three * a list/tuple of the former three * a Dataset If this doesn't work with your data, you have to pass a ``Dataset`` that can deal with the data. training : bool (default=False) Whether train mode should be used or not. """

        y_true = to_tensor(y_true, device=self.device)
        return self.criterion_(y_pred, y_true)