Sorry in advance if this is the wrong place to post. I am looking for any help narrowing down the source of a MacOS only / Julia 1.3, 1.4 only failure for the MLJModels.jl package: “Intel MKL Error”. Copied from the issue raised there : I have introduce CI on this branch for julia 1.3 and julia …

Not so far, but I am unfortunately not using ScikitLearn in my day-to-day work.

Looking around it seems MKL throws such issues upon seeing corrupted values (inf, nans…) Anyway I tried running the tests locally for MLJModels 0.9.1 (latest release) on my machine (a mac without MKL) and they fail as well with: SpectralClustering: Error During Test at /Users/tlienart/.julia/packa…

From [image] Call Intel MKL as external library General Usage I wrote a script to test a call to Intel MKL a external library but it doesn’t work. The concept: Solve a linear system using MKL “dgetrs” ( Documentation Library ) # Test MKL solve linear systems N = 10; A = …

Thanks @wolfgang , what’s a bit frustrating is that I don’t really see why we’re observing this while you can call sklearn.jl’s models separately without issues as far as I can tell; and to the best of my knowledge we don’t touch or set any linalg setting MKL or otherwise. The same code runs in 1.2 …

Ok after much hair pulling I found the issue by looking at the last working commit and the first failing commit and what env was loaded. Anyway long story short the issue is with OpenSpecFun_jll v0.5.3+2 (now +3 but doesn’t matter) which introduces a CompilerSupportLibraries_jll; I don’t know what…

Seems similar to https://github.com/JuliaPackaging/BinaryBuilder.jl/issues/700 where that package also breaks MKL in some cases.

@tlienart Hi Thibaut, has there been any luck incorporating this?

My understanding is that a fix will not be available until https://github.com/JuliaPackaging/BinaryBuilder.jl/issues/700 is resolved

Got it. A couple of notes I’ll leave here. Are we sure it’s an Intel MKL Error? The message I get says PyError using MLJ X, y = @load_boston; train, test = partition(eachindex(y), .7, rng=333); @load ARDRegressor mdl = ARDRegressor() mach = machine(mdl, X, y) fit!(mach, rows=train) PyErro…

Julia 1.3, 1.4 on MacOS and Intel MKL Error

Internals & Design

Albert_Zevelev March 24, 2020, 10:59pm 2

@cstjean have you seen this issue on macs for Julia 1.3/1.4?

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Julia 1.3, 1.4 on MacOS and Intel MKL Error

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