Hello all

I was wondering if there is any way to do higher order SVD in Julia using `LinearAlgebra.jl`

like you can using numpy.linalg.svd or should I just use PyCall? I tried with `LinearAlgebra.svd`

but it didn’t work out and I couldn’t find in the docs how to do it -

```
julia> A = randn(3, 5, 2)
3×5×2 Array{Float64, 3}:
[:, :, 1] =
1.69017 0.539516 -0.436762 -0.882562 2.28308
-0.180177 0.122244 -0.760002 -0.805284 1.15463
0.218088 0.524262 1.12136 -2.33447 -0.706637
[:, :, 2] =
0.850423 -1.12059 0.30392 -1.32743 -0.394143
0.296605 0.766331 -0.25429 0.0635182 0.0745694
-0.568156 -1.4385 0.0120621 1.66298 1.0844
julia> svd(A)
ERROR: MethodError: no method matching svd(::Array{Float64, 3})
Closest candidates are:
svd(::StridedVecOrMat{T}; full, alg) where T<:Union{Float16, ComplexF16} at ~/.julia/juliaup/julia-1.8.0-rc3+0.x64/share/julia/stdlib/v1.8/LinearAlgebra/src/svd.jl:181
svd(::StridedMatrix{T}, ::StridedMatrix{T}) where T<:Union{Float32, Float64, ComplexF32, ComplexF64} at ~/.julia/juliaup/julia-1.8.0-rc3+0.x64/share/julia/stdlib/v1.8/LinearAlgebra/src/svd.jl:407
svd(::StridedVecOrMat{T}; full, alg) where T at ~/.julia/juliaup/julia-1.8.0-rc3+0.x64/share/julia/stdlib/v1.8/LinearAlgebra/src/svd.jl:178
...
Stacktrace:
[1] top-level scope
@ REPL[4]:1
```

Same thing in python -

```
In [1]: import numpy as np
In [2]: A = np.random.randn(3, 5, 2)
In [3]: np.linalg.svd(A)
Out[3]:
(array([[[-0.6037455 , 0.58416878, 0.2178343 , -0.36421969,
0.33783197],
[ 0.32082226, -0.42888505, 0.1985067 , -0.49056635,
0.65808088],
[ 0.25303468, 0.13119474, 0.92420027, 0.16216266,
-0.19575117],
[-0.4705167 , -0.38054641, 0.15731977, 0.655918 ,
0.42287178],
[ 0.49714378, 0.55926453, -0.18506123, 0.41250882,
0.48544831]],
[[-0.53278136, 0.63028902, -0.24075323, 0.4968516 ,
-0.11855861],
[-0.5110045 , -0.19041643, -0.59981223, -0.58222151,
0.06212399],
[-0.67157959, -0.32594425, 0.66462678, 0.00804075,
-0.0307863 ],
[-0.03712789, -0.67049536, -0.37229753, 0.63951442,
0.03838423],
[-0.05119373, 0.10331337, 0.04392 , 0.07150708,
0.98977943]],
[[-0.50891794, 0.66685684, 0.31052877, -0.10016269,
0.43571069],
[-0.41478297, -0.66256106, -0.02431718, -0.43413115,
0.44710934],
[ 0.11320181, -0.25154376, 0.9476955 , 0.07824908,
-0.14021911],
[-0.44217126, -0.22985906, -0.06724939, 0.86055279,
0.08109132],
[ 0.60052273, -0.01433001, 0.018202 , 0.2341443 ,
0.76420693]]]),
array([[2.27220514, 0.61766628],
[3.57499854, 1.38367195],
[2.60157849, 2.01610413]]),
array([[[ 0.42173425, -0.90671948],
[-0.90671948, -0.42173425]],
[[ 0.60493221, -0.79627697],
[ 0.79627697, 0.60493221]],
[[ 0.63651737, -0.77126237],
[ 0.77126237, 0.63651737]]]))
```