You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
julia> using LinearAlgebra
julia> peakflops(; parallel=true)
ERROR: MethodError: no method matching nworkers()
The applicable method may be too new: running in world age 25267, while current world is 25269.
Closest candidates are:
nworkers(::Distributed.WorkerPool) (method too new to be called from this world context.)
@ Distributed ~/repo/julia/usr/share/julia/stdlib/v1.11/Distributed/src/workerpool.jl:139
nworkers() (method too new to be called from this world context.)
@ Distributed ~/repo/julia/usr/share/julia/stdlib/v1.11/Distributed/src/cluster.jl:900
nworkers(::Distributed.AbstractWorkerPool) (method too new to be called from this world context.)
@ Distributed ~/repo/julia/usr/share/julia/stdlib/v1.11/Distributed/src/workerpool.jl:148
Stacktrace:
[1] peakflops(n::Int64; eltype::DataType, ntrials::Int64, parallel::Bool)
@ LinearAlgebra ~/repo/julia/usr/share/julia/stdlib/v1.11/LinearAlgebra/src/LinearAlgebra.jl:622
[2] peakflops(n::Int64; eltype::DataType, ntrials::Int64, parallel::Bool)
@ InteractiveUtils ~/repo/julia/usr/share/julia/stdlib/v1.11/InteractiveUtils/src/InteractiveUtils.jl:335
[3] peakflops
@ InteractiveUtils ~/repo/julia/usr/share/julia/stdlib/v1.11/InteractiveUtils/src/InteractiveUtils.jl:330 [inlined]
[4] top-level scope
@ REPL[2]:1
julia> versioninfo()
Julia Version 1.11.0-DEV.632
Commit 1abafe85b2c* (2023-10-11 07:57 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: 8 × Intel(R) Core(TM) i7-4870HQ CPU @ 2.50GHz
WORD_SIZE: 64
LLVM: libLLVM-15.0.7 (ORCJIT, haswell)
Threads: 1 on 8 virtual cores
Explicitly loading Distributed does the trick:
julia> using Distributed
julia> peakflops(; parallel=true)
1.4242260084820227e11
but that's not documented to be required:
help?> peakflops
search: peakflops
peakflops(n::Integer=4096; eltype::DataType=Float64, ntrials::Integer=3, parallel::Bool=false)
peakflops computes the peak flop rate of the computer by using double precision gemm!. For more information see LinearAlgebra.peakflops.
│ Julia 1.1
│
│ This function will be moved from InteractiveUtils to LinearAlgebra in the future. In Julia 1.1 and later it is available as LinearAlgebra.peakflops.
The text was updated successfully, but these errors were encountered:
Explicitly loading
Distributed
does the trick:but that's not documented to be required:
The text was updated successfully, but these errors were encountered: