:0
unknown function (ip: 0x7fad186df0f2)
jl_call_fptr_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:339 [inlined]
jl_call_method_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:358 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:1926
#showerror#478 at ./replutil.jl:222
unknown function (ip: 0x7fad186deda9)
jl_call_fptr_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:339 [inlined]
jl_call_method_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:358 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:1926
jl_apply at /buildworker/worker/package_linux64/build/src/julia.h:1424 [inlined]
jl_invoke at /buildworker/worker/package_linux64/build/src/gf.c:51
showerror at ./replutil.jl:221
unknown function (ip: 0x7fad186deb7d)
jl_call_fptr_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:339 [inlined]
jl_call_method_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:358 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:1926
display_error at ./client.jl:137
unknown function (ip: 0x7fad186db3ed)
jl_call_fptr_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:339 [inlined]
jl_call_method_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:358 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:1926
display_error at ./client.jl:140
unknown function (ip: 0x7fad186dae66)
jl_call_fptr_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:339 [inlined]
jl_call_method_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:358 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:1926
do_call at /buildworker/worker/package_linux64/build/src/interpreter.c:75
eval at /buildworker/worker/package_linux64/build/src/interpreter.c:242
eval_body at /buildworker/worker/package_linux64/build/src/interpreter.c:539
jl_toplevel_eval_body at /buildworker/worker/package_linux64/build/src/interpreter.c:511
jl_toplevel_eval_flex at /buildworker/worker/package_linux64/build/src/toplevel.c:571
jl_toplevel_eval_in at /buildworker/worker/package_linux64/build/src/builtins.c:496
eval at ./boot.jl:235
unknown function (ip: 0x7fad48eadacf)
jl_call_fptr_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:339 [inlined]
jl_call_method_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:358 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:1926
_start at ./client.jl:417
unknown function (ip: 0x7fad48effb28)
jl_call_fptr_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:339 [inlined]
jl_call_method_internal at /buildworker/worker/package_linux64/build/src/julia_internal.h:358 [inlined]
jl_apply_generic at /buildworker/worker/package_linux64/build/src/gf.c:1926
unknown function (ip: 0x401bc8)
unknown function (ip: 0x401612)
__libc_start_main at /build/glibc-bfm8X4/glibc-2.23/csu/../csu/libc-start.c:291
unknown function (ip: 0x4016bc)
```
However, if I only have @variable(model, x) in the model instead of @variable(model, x[i in I; i \<=2]\>=1), it will work well.
Thanks!
Best,
Can
---
### Author:  [@miles.lubin](https://discourse.julialang.org/u/miles.lubin)
#### Post date: [January 10, 2018, 4:09am UTC](https://discourse.julialang.org/t/error-solve-jump-models-in-parallel/8250/2 "2018-01-10T04:09:12Z")
`getvalue` in the case above returns a `JuMPDict` that has a reference to a JuMP model, so `pmap` will eventually try to serialize a JuMP `Model`, which isn’t supported. Copy the result into a simple data structure like a `Dict` or an `Array` if you’re going to send values across processes.
---
### Author:  [@CanLi1](https://discourse.julialang.org/u/CanLi1)
#### Post date: [January 10, 2018, 4:35am UTC](https://discourse.julialang.org/t/error-solve-jump-models-in-parallel/8250/3 "2018-01-10T04:35:51Z")
Hi Miles,
Thanks a lot for the answer. Could you be more specific about how to “copy the result into a simple data structure like a Dict or an Array” when I use pmap to solve the above problem? Where should I apply getvalue() to get the value of the optimal solution in each processor? Thanks!
Best regards,
Can
---
### Author:  [@odow](https://discourse.julialang.org/u/odow)
#### Post date: [January 10, 2018, 8:43am UTC](https://discourse.julialang.org/t/error-solve-jump-models-in-parallel/8250/4 "2018-01-10T08:43:09Z")
Provided `I` is a one-indexed unit-range, instead of
```julia
d[:x] = getvalue(getindex(m, :x))
```
go
```julia
d[:x] = getvalue(getindex(m, :x))[:]
```
This way `d[:x]` is of type `Vector{Float64}` instead of `JuMPDict`. Otherwise you could go
```julia
d[:x] = Dict()
xval = getvalue(getindex(m, :x)) # xval is type JuMPDict
for i in I
d[:x][i] = xval[i]
end
# but now d[:x] is just a normal Julia Dict.
```
---
### Author:  [@miles.lubin](https://discourse.julialang.org/u/miles.lubin)
#### Post date: [January 10, 2018, 2:22pm UTC](https://discourse.julialang.org/t/error-solve-jump-models-in-parallel/8250/5 "2018-01-10T14:22:54Z")
FWIW this won’t be an issue on JuMP 0.19 because we’ve replaced `JuMPDict` with the standard `Dict`.
---
### Author:  [@CanLi1](https://discourse.julialang.org/u/CanLi1)
#### Post date: [January 10, 2018, 3:35pm UTC](https://discourse.julialang.org/t/error-solve-jump-models-in-parallel/8250/6 "2018-01-10T15:35:23Z")
Hi Oscar and Miles,
Thanks for your answer. I tried replacing
```julia
d[:x] = getvalue(getindex(m, :x))
```
with
```julia
d[:x] = getvalue(getindex(m, :x))[:]
```
but I still get the error:
```julia
getindex at ./associative.jl:363
_map at /home/canl1/.julia/v0.6/JuMP/src/JuMPContainer.jl:162
getvalue at /home/canl1/.julia/v0.6/JuMP/src/JuMPContainer.jl:114
psolve at /home/canl1/work/hierarchy/large/3/dump/smallmodel.jl:16
#106 at ./distributed/process_messages.jl:268 [inlined]
run_work_thunk at ./distributed/process_messages.jl:56
macro expansion at ./distributed/process_messages.jl:268 [inlined]
#105 at ./event.jl:73
Stacktrace:
[1] #571 at ./asyncmap.jl:178 [inlined]
[2] foreach(::Base.##571#573, ::Array{Any,1}) at ./abstractarray.jl:1733
[3] maptwice(::Function, ::Channel{Any}, ::Array{Any,1}, ::Array{Any,1}, ::Vararg{Array{Any,1},N} where N) at ./asyncmap.jl:178
[4] wrap_n_exec_twice(::Channel{Any}, ::Array{Any,1}, ::Base.Distributed.##204#207{WorkerPool}, ::Function, ::Array{Any,1}, ::Vararg{Array{Any,1},N} where N) at ./asyncmap.jl:154
[5] #async_usemap#556(::Function, ::Void, ::Function, ::Base.Distributed.##188#190, ::Array{Any,1}, ::Vararg{Array{Any,1},N} where N) at ./asyncmap.jl:103
[6] (::Base.#kw##async_usemap)(::Array{Any,1}, ::Base.#async_usemap, ::Function, ::Array{Any,1}, ::Vararg{Array{Any,1},N} where N) at ./:0
[7] (::Base.#kw##asyncmap)(::Array{Any,1}, ::Base.#asyncmap, ::Function, ::Array{Any,1}) at ./:0
[8] #pmap#203(::Bool, ::Int64, ::Void, ::Array{Any,1}, ::Void, ::Function, ::WorkerPool, ::Function, ::Array{Any,1}) at ./distributed/pmap.jl:126
[9] pmap(::WorkerPool, ::Function, ::Array{Any,1}) at ./distributed/pmap.jl:101
[10] #pmap#213(::Array{Any,1}, ::Function, ::Function, ::Array{Any,1}) at ./distributed/pmap.jl:156
[11] pmap(::Function, ::Array{Any,1}) at ./distributed/pmap.jl:156
[12] include_from_node1(::String) at ./loading.jl:576
[13] include(::String) at ./sysimg.jl:14
[14] process_options(::Base.JLOptions) at ./client.jl:305
[15] _start() at ./client.jl:371fatal: error thrown and no exception handler available.
Base.AssertionError(msg="j isa Array{Variable}")
```
---
### Author:  [@miles.lubin](https://discourse.julialang.org/u/miles.lubin)
#### Post date: [January 10, 2018, 4:53pm UTC](https://discourse.julialang.org/t/error-solve-jump-models-in-parallel/8250/7 "2018-01-10T16:53:32Z")
Sorry, I misread the code. I also wouldn’t expect passing an array of models `pmap` to work. Don’t send models across processes. Send the input data and generate the models locally on the process.