Sounds good. Will do.
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We have found a simple workaround in the case of concatenating 2D tensors
(currently our most common use case). By unrolling the last axis, llvm is smart
enough to generate vectorized code and the performance is even better than c
code in caffe2. For benchmark numbers, see
https://gist.github
