@xidulu Thanks a lot for your user experience comment. In this case, using `np.finfo('float32').eps` returns the machine epsilon which is far from denormal number. Therefore, these 2 flags shouldn't affect your clipping. To create denormal number from machine epsilon you have to take it to ~6th power. ```Python import daz daz.set_ftz() daz.set_daz()
np.power(np.finfo('float32').eps, 5, dtype=np.float32) >>> 2.4074124e-35 np.power(np.finfo('float32').eps, 6, dtype=np.float32) >>> 0.0 ``` -- You are receiving this because you were mentioned. Reply to this email directly or view it on GitHub: https://github.com/apache/incubator-mxnet/issues/19361#issuecomment-713356876