ERROR: MethodError: no method matching Strided.UnsafeStridedView(::Hermitian{Float64,Array{Float64,2}})

[schneiderfelipe]

I'm having trouble using Hermitian or Symmetric matrices (defined in the LinearAlgebra package). Here is an MWE:

using LinearAlgebra
using TensorOperations

function g(F)
    return @tensor F[i, j] * F[i, j]
end

A = rand(7, 7)

g(A)
# => works great

H = Hermitian(A)
g(H)
# => ERROR: MethodError: no method matching Strided.UnsafeStridedView(::Hermitian{Float64,Array{Float64,2}})

A similar error (ERROR: MethodError: no method matching Strided.UnsafeStridedView(::Symmetric{Float64,Array{Float64,2}})) is thrown for Symmetric matrices.

Of course, it works with H.data, which points to the original matrix, but then we are not using any symmetry:

g(H.data)
# => works fine, but that's not the same thing

Hermitian/Symmetric are simple wrappers, basically, and there are some challenges concerning supporting them:

pointer(H)
# => ERROR: conversion to pointer not defined for Hermitian{Float64,Array{Float64,2}}

strides(H)
# => ERROR: MethodError: no method matching strides(::Hermitian{Float64,Array{Float64,2}})

How could Hermitian/Symmetric be supported?