Is the model trained on truncated noise? What was input noise vector characteristics for training?

[MHVali]

Hi,

I have noticed in the "utils.py" line 32, you truncated the normal noise in the range [-2,2] by this line of code:

values = truncnorm.rvs(-2, 2, size=(batch_size, dim_z), random_state=state).astype(np.float32)

Could you please let me know whether the pre-trained model is also trained using this truncated noise? If not, could you please let me know the characteristics of the input noise vectors during training your model? Thanks!