On Thursday, June 26, 2014 9:54:34 AM UTC-4, Michiaki Ariga wrote: > > In original numpy version as following, matrix and vector are 3dimension > arrays. > Is there any way to compute tensordot like numpy? >
There is no built-in tensor contraction function at the moment (https://github.com/JuliaLang/julia/issues/3250), but you can try out the TensorOperations package: https://github.com/Jutho/TensorOperations.jl You can also just write your own loop and the performance should be fine; it's pretty easy to do this if you know the dimensionality in advance, and it's only complicated to write tensor contraction code if you want to handle arbitrary dimensionality and arbitrary contraction index sets. (It takes a while to get used to the fact that you don't need to call a library function for every inner loop in Julia.)
