Skip to content

Regression in memory allocs when forming NTuple  #41512

Closed

Description

The following code allocates on master and 1.7beta2, but does not allocate on 1.6:

Tuple3(itr) = NTuple{3, Float64}(itr)::NTuple{3,Float64}

function doit(itr)
    for x in itr
        Tuple3(x)
    end
end

itr = [randn(3) for _ in 1:10000]
doit(itr)
@time doit(itr)
master:  0.021418 seconds (120.00 k allocations: 2.899 MiB)
julia 1.6:  0.000032 seconds

This lead to regressions in two packages for me:
https://github.com/jw3126/VoxelRayTracers.jl/blob/master/src/core.jl#L71
https://github.com/jw3126/LinearInterpolations.jl/blob/master/src/LinearInterpolations.jl#L407
https://github.com/jw3126/LinearInterpolations.jl/blob/master/test/test_LinearInterpolations.jl#L259

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Assignees

No one assigned

    Labels

    performanceMust go fasterregressionRegression in behavior compared to a previous version

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions