to_vec is great for working on complex structures but it has the limit of only reconstructing the primal representation.
For example, related to #270 , if I had a to_vec(x::AbstractVector{T,Missing}) where {T} definition such as:
function to_vec(x::AbstractVector{T,Missing}) where {T}
is = findall(ismissing, x)
not_is = findall(!ismissing, x)
xval, from_xval = to_vec(x[is])
function from_vec(x)
y = similar(x)
y[is] = from_xval(x)
y[not_is] .= missing
y
end
xval, from_vec
end
The primal reconstruction would work fine, but instead of returning some NoTangent for the missing values, it would just return missing and mess up the rest.
One solution would be to specify a dual version which would put the right Tangent types where needed.
to_vecis great for working on complex structures but it has the limit of only reconstructing the primal representation.For example, related to #270 , if I had a
to_vec(x::AbstractVector{T,Missing}) where {T}definition such as:The primal reconstruction would work fine, but instead of returning some
NoTangentfor themissingvalues, it would just returnmissingand mess up the rest.One solution would be to specify a dual version which would put the right
Tangenttypes where needed.