I just wondered if there’s an easy way to apply, for example an addition to each row of a 2DTensor using the values of an 1D Tensor.
In Tensorflow, it is as simple as :
result= t1+t2 #t1(10,10) and t2(1,10)
I know this might sound trivial/easy and there might be already something, but I’ve looked into the docs and I couldn’t find anything.
I could create a 2D matrix by repeating the 1D Tensor, or iterate over the 2D matrix, but i thought there might be something more optimized.
Thanks a lot !