Optimize backwards of narrow

[ezyang]

Narrow is a very cheap operation in forwards, because it doesn't have to do much, but it is expensive in backwards, since you must allocate a full size tensor and zero pad it out. This is a good opportunity for the optimizer.

Discovered this in the conversation at pytorch/pytorch#3313 (comment)