BatchReindexLayer to shuffle, subsample, and replicate examples in a batch #2966
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This layer takes two blobs as input and uses the second blob to index the first blob along the first axis.
This layer is needed for the training procedure described in this paper, which first samples patches and extracts fc6-like features, before shuffling them around and pairing them up halfway through the network. @shelhamer agrees that this may be useful to others, hence this PR. It has documentation in comments and tests; this should be ready for review.