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lindahua/Devectorize.jl
Cannot install package on Julia 1.7

Hi, thanks for your great package. I just updated to Julia 1.7 and I cannot add it anymore. If I try, I get the following outcome Screenshot 2021-12-01 233931 Any idea of what s going on? Thank you ...
  • fabrizioleone
  • 2
  • Opened 
    on Dec 1, 2021
  • #55

lindahua/Devectorize.jl
Info about upcoming removal of packages in the General registry

As described in https://discourse.julialang.org/t/ann-plans-for-removing-packages-that-do-not-yet-support-1-0-from-the-general-registry/ we are planning on removing packages that do not support 1.0 from ...
  • KristofferC
  • Opened 
    on Sep 4, 2019
  • #54

lindahua/Devectorize.jl
Devectorize and Parallel Computing

Hi everyone, I am having trouble getting @devec to work with parallelized code. I am not sure what I am doing wrong. Here is a MWE: addprocs(2 - 1) using Devectorize @everywhere begin using Devectorize ...
  • mfariacastro
  • Opened 
    on May 24, 2017
  • #53

lindahua/Devectorize.jl
update for new vectorization roadmap

It might be good to think about how this interacts with JuliaLang/julia#16285. Hopefully, when the rest of that roadmap is implemented in 0.6, the Devec package won t be needed too much. In the meantime, ...
  • stevengj
  • 4
  • Opened 
    on Jul 21, 2016
  • #52

lindahua/Devectorize.jl
Handling new indexing behavior in Julia 0.5

In particular, after https://github.com/JuliaLang/julia/pull/13612 Julia drops dimensions indexed by a scalar. Work is under way https://github.com/JuliaLang/Compat.jl/pull/179 to provide the new behavior ...
  • blakejohnson
  • Opened 
    on Jun 28, 2016
  • #51

lindahua/Devectorize.jl
Higher dimensional reductions

First of all thanks for this awesome package! x = randn(3, 3, 4) @devec m = maximum(x) Throws the following error: LoadError: MethodError: `to_length` has no method matching to_length(::Tuple{Int64,Int64,Int64}) ...
  • jw3126
  • Opened 
    on Apr 7, 2016
  • #50

lindahua/Devectorize.jl
@devec slower than vanilla julia for 1./(1+exp(-vector))

I am calculating phat = 1./(1+exp(-vector)) where vector is a vector of some dimension (say 8000). Ex: using Devectorize vector = rand(8000) phat = zeros(8000) @time 1 time_vanilla = [@elapsed phat ...
  • pkofod
  • 4
  • Opened 
    on Oct 7, 2015
  • #48

lindahua/Devectorize.jl
Type instability in reductions

A quite simple accumulation into a variable generates the following code: julia @inspect_devec s += sum(v1[1:3] .* v2[1:3]) s += sum(v1[1:3] .* v2[1:3]) == begin begin ##siz#7247 = Devectorize.ewise_shape((3,),(3,)) ...
  • KristofferC
  • 2
  • Opened 
    on Sep 29, 2015
  • #47

lindahua/Devectorize.jl
Support for inv()

@devec consumption = λ_σinv * (inv_interest_powers .* inv_discount_powers) .^ inv(-σ) ERROR: Devectorize.DeError( Unrecognized function inv with 1 arguments (in Devectorize) )
  • ZacCranko
  • Opened 
    on Sep 5, 2015
  • #44

lindahua/Devectorize.jl
Support for sign()

Are there plans to support sign()? Just experimented with Devectorize.jl with a little function to implement soft thresholding and got the following error julia @inspect_devec y = sign(x) .* max(abs(x) ...
  • ZacCranko
  • Opened 
    on Jun 6, 2015
  • #42
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