Closed #2692.
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Thanks @tqchen, glad to be a reviewer and looking forward to contributing more
in the future.
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@MarisaKirisame, https://github.com/dmlc/tvm/pull/3448 was the leak @ajtulloch
was referring to.
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@ziheng and @icemelon9, thanks very much. Looking forward to contributing more
in the future!
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+1
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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
Sounds good. Will do.
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