It works !!! Thank you for your help 
trace_normal = pm.sample(target_accept = 0.9)
I saw it on forums before but didn’t pay attention that much.
Have another question if you familiar :
I have 2 features that highly correlated (0.82 - corr). Does Multicollinearity effects the model and should I exclude one of the feature that highly corr? (This is what I remember from Regular Linear Regression but don’t know if it is the same with pyMC3)