How can I print the scheme parameters that are being used for the example codes provided? We are interested in the log q and n values but would appreciate being able to see all of the parameters being dynamically set by the concrete-compiler.

Hi @dsmolina,

You can use `show_optimizer`

option to see the details of selected parameters:

```
import concrete.numpy as cnp
import numpy as np
@cnp.compiler({"x": "encrypted"})
def f(x):
return x ** 2
inputset = range(10)
circuit = f.compile(inputset, show_optimizer=True)
```

prints

```
Optimizer
--------------------------------------------------------------------------------
--- Circuit
7 bits integers
0 manp (maxi log2 norm2)
2734ms to solve
--- User config
1.000000e+00 error per pbs call
1.000000e-05 error per circuit call
--- Complexity for the full circuit
5.280000e+02 Millions Operations
--- Correctness for each Pbs call
1/107498 errors (9.302475e-06)
--- Correctness for the full circuit
1/107498 errors (9.302475e-06)
--- Parameters resolution
1x glwe_dimension
2**13 polynomial (8192)
895 lwe dimension
keyswitch l,b=6,3
blindrota l,b=1,22
wopPbs : false
---
--------------------------------------------------------------------------------
```

Hope this helps!

1 Like

For the linear model testing, for instance the one found here: GitHub - zama-ai/concrete-ml at 898c811cdf9e1dc5a6da1bc9b00fc76adbd6e69c is there a simple way to use this show_optimizer value? I am having trouble finding documentation on the show_optimizer tool and figuring out how to use it with the linear/log model examples.

Hello !

I believe what you are looking for is the `verbose_compilation`

parameter ! Setting it to True will display you information about the optimizer

You can take a look a this documentation page in order to know more about it !

Hope this answers your question