Thanks for the answer! I got it to run as expected.
I think part of my problem is that there seems to be an issue with BSON inside modules as well: https://github.com/FluxML/Flux.jl/issues/1322
So Julia did throw an error which I didn’t caught or checked for in the C code.
Here is now my working code:
C code
#include <stdio.h>
#include <stdlib.h>
#include <julia.h>
JULIA_DEFINE_FAST_TLS // only define this once, in an executable (not in a shared library) if you want fast code.
int main(int argc, char *argv[]){
/* Variables */
jl_function_t *loadVar = NULL;
jl_function_t *evalFunc = NULL;
jl_value_t* array_type = NULL;
jl_array_t *jl_inputs = NULL;
jl_array_t *jl_outputs = NULL;
jl_value_t *jl_filename = NULL;
/* required: setup the Julia context */
jl_init();
/* GC rooting */
JL_GC_PUSH6(&loadVar, &evalFunc, &array_type, &jl_inputs, &jl_outputs, &jl_filename);
jl_eval_string("Base.include(Main, \"mwe.jl\")");
jl_eval_string("using Main.MWE");
jl_module_t* MWE = (jl_module_t *)jl_eval_string("Main.MWE");
/* Get loadNN and evalNN function */
loadVar = jl_get_function(MWE, "loadVar");
evalFunc = jl_get_function(MWE, "evalFunc");
/* Create thin wrapper around arrays */
array_type = jl_apply_array_type((jl_value_t*)jl_float64_type, 1);
size_t length_inputs = 2;
double *inputs = (double*)calloc(length_inputs, sizeof(double));
jl_inputs = jl_ptr_to_array_1d(array_type, inputs, length_inputs, 0);
size_t length_outputs = 2;
double *outputs = (double*)calloc(length_outputs, sizeof(double));
jl_outputs = jl_ptr_to_array_1d(array_type, outputs, length_outputs, 0);
/* Load data from BSON */
const char filename[]= "savedVar.bson";
jl_filename = jl_cstr_to_string(filename);
jl_call1(loadVar, (jl_value_t*)jl_filename);
/* Evaluate NN */
jl_call2(evalFunc, (jl_value_t*)jl_inputs, (jl_value_t*)jl_outputs);
/* Release GC roots */
JL_GC_POP();
/* Notify Julia that programm is going to end */
jl_atexit_hook(0);
return 0;
}
Julia code
module MWE
using BSON
using BSON: @save
export loadVar
export saveVar
export evalFunc
function saveVar(modelFile::String)
someVar = [1.0, 2.0]
@save abspath(modelFile) someVar
end
function loadVar(modelFile::String)
@info "Loading var from \"$(modelFile)\""
someVar = "missing"
try
someVar = BSON.load(abspath(modelFile), @__MODULE__)[:someVar]
catch err
println(err)
end
println("someVar: ", someVar)
end
function evalFunc(inputs::Array{Float64}, outputs::Array{Float64})
@info "Inputs $(inputs)"
@info "Outputs $(outputs)"
end
end
$ ./mwe
[ Info: Loading var from "savedVar.bson"
someVar: [1.0, 2.0]
[ Info: Inputs [0.0, 0.0]
[ Info: Outputs [0.0, 0.0]