Developer Guide for Intel® Data Analytics Acceleration Library 2019 Update 5
The forward concat layer generates a tensor from input arguments X .
Given the dimension k along which the concatenation to be implemented and t p-dimensional tensors X (i), i=1, ..., t, of size n 1 x n 2 x ... x n k i ... x n p , where n 1, ..., n k-1, n k+1, ...,n p are the same for all tensors, the problem is to generate
The p-dimensional tensor Y = (y i 1...i p ) of size n 1 x...x n k x ... x n p , such that:
A collection of sizes n k i along the k-th dimension.