On Monday, August 10, 2015 01:13:15 PM Tony Kelman wrote: > Should > probably use some different extension for that, .jls or something, to avoid > confusion.
Yes. That has been sufficiently confusing in the past, we even cover this here: https://github.com/JuliaLang/JLD.jl#saving-and-loading-variables-in-julia-data-format-jld --Tim > > On Monday, August 10, 2015 at 12:45:35 PM UTC-7, Stefan Karpinski wrote: > > JLD doesn't support serializing functions but Julia itself does. > > > > On Mon, Aug 10, 2015 at 3:43 PM, Andrei Zh <faithle...@gmail.com > > > > <javascript:>> wrote: > >> I'm afraid it's not quite true, and I found simple way to show it. In the > >> next code snippet I define function `f` and serialize it to a file: > >> > >> julia> f(x) = x + 1 > >> f (generic function with 1 method) > >> > >> julia> f(5) > >> 6 > >> > >> julia> open("example.jld", "w") do io serialize(io, f) end > >> > >> > >> Then I close Julia REPL and in a new session try to load and use this > >> function: > >> > >> julia> f2 = open("example.jld") do io deserialize(io) end > >> (anonymous function) > >> > >> julia> f2(5) > >> ERROR: function f not defined on process 1 > >> > >> in error at error.jl:21 > >> in anonymous at serialize.jl:398 > >> > >> So deserialized function still refers to the old definition, which is not > >> available in this new session. > >> > >> Is there any better way to serialize a function and run it on an > >> unrelated Julia process? > >> > >> On Monday, August 10, 2015 at 2:33:11 PM UTC+3, Jeff Waller wrote: > >>>> My question is: does Julia's serialization produce completely > >>>> self-containing code that can be run on workers? In other words, is it > >>>> possible to send serialized function over network to another host / > >>>> Julia > >>>> process and applied there without any additional information from the > >>>> first > >>>> process? > >>>> > >>>> I made some tests on a single machine, and when I defined function > >>>> without `@everywhere`, worker failed with a message "function myfunc > >>>> not > >>>> defined on process 1". With `@everywhere`, my code worked, but will it > >>>> work > >>>> on multiple hosts with essentially independent Julia processes? > >>> > >>> According to Jey here > >>> <https://groups.google.com/forum/#!searchin/julia-users/jey/julia-users/ > >>> bolLGcSCrs0/fGGVLgNhI2YJ>, Base.serialize does what we want; it's > >>> contained in serialize.jl > >>> <https://github.com/JuliaLang/julia/blob/master/base/serialize.jl>