In Julia v0.5, how do you make a function which is like reshape but instead returns a view? ArrayViews.jl has a reshape_view function but it doesn't seem directly compatible with the new view
function. I just want to reshape
u
to some tuple sizeu
where I don't know the dimensions.
Reshaping means changing the shape of an array. The shape of an array is the number of elements in each dimension. By reshaping we can add or remove dimensions or change number of elements in each dimension.
If you have an array of shape (2,4) then reshaping it with (-1, 1), then the array will get reshaped in such a way that the resulting array has only 1 column and this is only possible by having 8 rows, hence, (8,1).
Returns a new tensor with the same data as the self tensor but of a different shape . Otherwise, it will not be possible to view self tensor as shape without copying it (e.g., via contiguous() ).
As per Django Documentation, A view function is a Python function that takes a Web request and returns a Web response. This response can be the HTML contents of a Web page, or a redirect, or a 404 error, or an XML document, or an image, anything that a web browser can display.
If you reshape a 'view', the output is a reshaped 'view'.
If your initial variable is a normal array, you can convert it to a view 'on the fly' during your function call.
There are no reallocations during this operation, as per your later comment: you can confirm this with the pointer
function. The objects aren't the same, in the sense that they are interpreted as pointers to a different 'type', but the memory address is the same.
julia> A = ones(5,5,5); B = view(A, 2:4, 2:4, 2:4); C = reshape(B, 1, 27);
julia> is(B,C)
false
julia> pointer(B)
Ptr{Float64} @0x00007ff51e8b1ac8
julia> pointer(C)
Ptr{Float64} @0x00007ff51e8b1ac8
julia> C[1:5] = zeros(1,5);
julia> A[:,:,2]
5×5 Array{Float64,2}:
1.0 1.0 1.0 1.0 1.0
1.0 0.0 0.0 1.0 1.0
1.0 0.0 0.0 1.0 1.0
1.0 0.0 1.0 1.0 1.0
1.0 1.0 1.0 1.0 1.0
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