I was surprised to find out that using UInt16s is not a valid way to reshape an Array. I get the following behavior on Julia 0.6.4 as well as Julia 1.0.2 julia> a = collect(1:6) 6-element Array{Int64,1}: 1 2 3 4 5 6 julia> b = reshape(a, 3, 2) 3×2 Array{Int64,2}: 1 4 2 5 3 6 julia> c…

Yeah, ensuring we support all the different permutations of integer types as dimension lengths through all of our APIs is a challenge. Looks like we missed this case.

Am I missing something in how this works? It looks like Int64 to me even after the reshape. julia> a 6-element Array{Int64,1}: 1 2 3 4 5 6 julia> b = reshape(a, (UInt16(3), UInt16(2))) 3×2 Array{Int64,2}: 1 4 2 5 3 6 julia> b = reshape(1:6, (UInt16(3), UInt16(2))) 3×2 reshape(::UnitRa…

Reshape doesn’t change the element type. Perhaps you want UInt16.(b) ?

@oliver My original question is concerning the eltype of the supplied, new dimensions, not the eltype of the reshaped array.

Using reshape with UInt16 for dims

Internals & Design

Daniel_Berge November 16, 2018, 8:37pm 2

It works, but you need to pass the dims as a tuple.
c = reshape(1:6, (UInt16(3), UInt16(2))).

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Using reshape with UInt16 for dims

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