Traceback (most recent call last):
  File "train.py", line 239, in multi
    loss = -criterion(predict_y, train_y)
  File "~/lib/python3.9/site-packages/gpytorch/module.py", line 30, in __call__
    outputs = self.forward(*inputs, **kwargs)
  File "~/lib/python3.9/site-packages/gpytorch/mlls/exact_marginal_log_likelihood.py", line 62, in forward
    res = output.log_prob(target)
  File "~/lib/python3.9/site-packages/gpytorch/distributions/multitask_multivariate_normal.py", line 211, in log_prob
    return super().log_prob(value.view(*value.shape[:-2], -1))
RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.