I would like to calculate the log probability of a vector with respect to n different Gaussians, shown below.

```
from torch import tensor
from pyro import distributions as dist
data = tensor([0., 1., 10., 11., 12.])
dist.Normal(tensor([0., 10.]), tensor(1.)).log_prob(data)
ValueError: Value is not broadcastable with batch_shape+event_shape: torch.Size([5])
vs torch.Size([2]).
```

Ideally, this would return a 5x2 vector of log probabilities. Is there a way to accomplish this?