# Something wrong with my memory calculation

**URL:** <https://discourse.julialang.org/t/something-wrong-with-my-memory-calculation/111932>\
**Category:** New to Julia\
**Tags:** question\
**Created:** [March 21, 2024, 1:35pm UTC](https://discourse.julialang.org/t/something-wrong-with-my-memory-calculation/111932 "2024-03-21T13:35:41Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![Clement\_Benoist](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/clement_benoist/32/207899_2.png) [@Clement\_Benoist](https://discourse.julialang.org/u/Clement_Benoist)\
**Post date:** [March 21, 2024, 1:35pm UTC](https://discourse.julialang.org/t/something-wrong-with-my-memory-calculation/111932/1 "2024-03-21T13:35:41Z")

</div>

I’m coding a NeuralODE in Julia and tried to get a memory use data from the program. On python, when I change my adjoint method I get different but consistent (by method) results for my max RSS but on Julia I always get the same value, here is how I did it :

```julia
function meminfo_julia()
    @printf "GC live: %9.3f MiB\n" Base.gc_live_bytes()/2^20
    @printf "JIT: %9.3f MiB\n" Base.jit_total_bytes()/2^20
    @printf "Max. RSS: %9.3f MiB\n" Sys.maxrss()/2^20
end

my main function : 
for i in 1:N
    global p = modele(strategie[i],strategie_length[i],strategie_iter[i],strategie_rate[i],p,st)
end

print("\n")
print(meminfo_julia())

```

The main function do respond correctly to the variables as for different solving/adjoint algorithms it gives me different values of loss and precision.  
Does someone have any idea of what is wrong ?