JLD doesn't support serializing functions but Julia itself does.
On Mon, Aug 10, 2015 at 3:43 PM, Andrei Zh <faithlessfri...@gmail.com>
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>
>>
>>
