An iterator which performs no batching or shuffling of instances, only tensorization. E.g, instances are effectively passed 'straight through' the iterator.

This is essentially the same as a BasicIterator with shuffling disabled, the batch size set to 1, and maximum samples per batch disabled. The only difference is that this iterator removes the batch dimension. This can be useful for rare situations where batching is best performed within the dataset reader (e.g. for contiguous language modeling, or for other problems where state is shared across batches).