Broadcast over a specific dimension of array

General Usage
6

It sounds like a 1D array of 2D arrays would be the best approach.

map or broadcast with eachslice can yield a 1D array of 2D arrays:

julia> x = rand(3,3,4);

julia> inv.(eachslice(x, dims=3))
4-element Array{Array{Float64,2},1}:
 [-1.6590312226570239 2.0793019606694854 0.5372029679273337; -0.41725584494784745 -0.16227671804840568 1.4356241190356016; 3.1581583049406534 -1.8836845469856938 -1.3709070403858319]
 [2.2504272336124984 -1.3387872100956475 -1.3175125593090484; -0.6955200736976385 2.3904260659293395 -0.15231503786728723; -1.6588907341843613 -5.504678105886818 6.354210163417449]
 [-6.522265014454815 11.007596635562658 -0.8997442890195426; 5.918653872368978 -6.235209223176827 -0.20055712370467133; 3.1672517888989637 -7.134447496548201 2.0670158780550607]
 [1.257897188987869 0.5534734488273791 -3.7933556798265524; -1.3639997740291203 1.2156395483916482 3.2530995922802717; -1.1021239862109267 -3.2404755836203387 21.985361866828296]

julia> map(inv, eachslice(x, dims=3))
4-element Array{Array{Float64,2},1}:
 [-1.6590312226570239 2.0793019606694854 0.5372029679273337; -0.41725584494784745 -0.16227671804840568 1.4356241190356016; 3.1581583049406534 -1.8836845469856938 -1.3709070403858319]
 [2.2504272336124984 -1.3387872100956475 -1.3175125593090484; -0.6955200736976385 2.3904260659293395 -0.15231503786728723; -1.6588907341843613 -5.504678105886818 6.354210163417449]
 [-6.522265014454815 11.007596635562658 -0.8997442890195426; 5.918653872368978 -6.235209223176827 -0.20055712370467133; 3.1672517888989637 -7.134447496548201 2.0670158780550607]
 [1.257897188987869 0.5534734488273791 -3.7933556798265524; -1.3639997740291203 1.2156395483916482 3.2530995922802717; -1.1021239862109267 -3.2404755836203387 21.985361866828296]

julia> mapslices(inv, x, dims=(1,2))
3×3×4 Array{Float64,3}:
[:, :, 1] =
 -1.65903    2.0793     0.537203
 -0.417256  -0.162277   1.43562
  3.15816   -1.88368   -1.37091

[:, :, 2] =
  2.25043  -1.33879  -1.31751
 -0.69552   2.39043  -0.152315
 -1.65889  -5.50468   6.35421

[:, :, 3] =
 -6.52227  11.0076   -0.899744
  5.91865  -6.23521  -0.200557
  3.16725  -7.13445   2.06702

[:, :, 4] =
  1.2579    0.553473  -3.79336
 -1.364     1.21564    3.2531
 -1.10212  -3.24048   21.9854
3 Likes