# Get intertermediate results from gradient computation

**URL:** <https://discourse.julialang.org/t/get-intertermediate-results-from-gradient-computation/48226>\
**Category:** General Usage\
**Tags:** flux, zygote\
**Created:** [October 12, 2020, 2:08pm UTC](https://discourse.julialang.org/t/get-intertermediate-results-from-gradient-computation/48226 "2020-10-12T14:08:35Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![AnnahDo](https://avatars.discourse-cdn.com/v4/letter/a/e495f1/32.png) [@AnnahDo](https://discourse.julialang.org/u/AnnahDo)\
**Post date:** [October 12, 2020, 2:08pm UTC](https://discourse.julialang.org/t/get-intertermediate-results-from-gradient-computation/48226/1 "2020-10-12T14:08:35Z")

</div>

Hi,

I am calculating the gradient of a function, but I also want to know some other values that are calculated.

So in addition to wanting the loss and the gradient of the loss, I want my function to output more values.

Here is what I got so far:

```julia
using Zygote

function my_fun(p, x)
    return p.*x.^2
end

function my_loss(fun, p, x)
    vec = fun(p,x)
    return sum(vec), vec
end

my_p = [2]
my_x = [1, 2, 3, 4, 5]

(loss_value, vec), gradients = Zygote.pullback(()->my_loss(my_fun, my_p, my_x), params(my_p))
 
println("loss: ", loss_value)
println("vector: ", vec)
relevant_gradients = gradients((1, zeros(size(vec))))
println("gradients: ", relevant_gradients.grads)
println("params: ", relevant_gradients.params)

```

So in this example, I actually only want my loss value, my loss gradient with respect to ‘my\_p’ and the values of my\_fun(my\_x).  
I do not want any gradients wrt my\_x and I also do not want any gradients of my\_fun wrt my\_x or my\_p. In my example I am avoiding this by feeding (1, zeros(size(vec))) to gradients, but this seems… messy?

Is there a more elegant/easier way to do this?

thanks in advance for the help!