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36 changes: 35 additions & 1 deletion src/Nonlinear/ReverseAD/utils.jl
Original file line number Diff line number Diff line change
Expand Up @@ -164,9 +164,43 @@ function _UnsafeLowerTriangularMatrixView(x::Vector{Float64}, N::Int)
return _UnsafeLowerTriangularMatrixView(N, pointer(x))
end

"""
_reinterpret_unsafe(::Type{T}, x::Vector{R}) where {T,R}
Return an `_UnsafeVectorView` that act as a vector of element type
`T` over the same bytes as `x`. Note that if `length(x) * sizeof(R)` is not
a multiple of `sizeof(T)`, the last bits will be ignored. This is a key
difference with `reinterpret` which errors in that case.
Given a vector of `Float64` of length equal to the maximum number of nodes of a
set of expressions time the maximum chunk size, this function is used to
reinterpret it as a vector of `ForwardDiff.Partials{N,T}` where `N` is the
chunk size of one of the expressions of the set. In that case, we know that
the vector has enough bytes and we don't care about the leftover bytes at the
end.
## Examples
```jldoctest
julia> import MathOptInterface as MOI
julia> x = [(1, 2, 3), (4, 5, 6), (7, 8, 9)]
3-element Vector{Tuple{Int64, Int64, Int64}}:
(1, 2, 3)
(4, 5, 6)
(7, 8, 9)
julia> MOI.Nonlinear.ReverseAD._reinterpret_unsafe(NTuple{2,Int}, x)
4-element MathOptInterface.Nonlinear.ReverseAD._UnsafeVectorView{Tuple{Int64, Int64}}:
(1, 2)
(3, 4)
(5, 6)
(7, 8)
```
"""
function _reinterpret_unsafe(::Type{T}, x::Vector{R}) where {T,R}
# how many T's fit into x?
@assert isbitstype(T) && isbitstype(R)
# how many T's fit into x?
len = length(x) * sizeof(R)
p = reinterpret(Ptr{T}, pointer(x))
return _UnsafeVectorView(0, div(len, sizeof(T)), p)
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