Hi all,
tl;dr Is there a way to get 0 when dividing by 0 in Gluon F.broadcast_div() instead of ```nan``` or ```inf```? I'm attempting to rewrite the Tensorflow seq2seq sequence_loss function for Gluon. The source is at https://github.com/tensorflow/addons/blob/v0.13.0/tensorflow_addons/seq2seq/loss.py#L24-L169. Line 160 has the following: ``` crossent = tf.math.divide_no_nan(crossent, total_size) ``` which outputs 0 when dividing by 0. On the other hand, Gluon's F.broadcast_div() will output something like ```nan``` or ```inf```. Does anyone have any suggestions for mimicking this behavior in Gluon? Thanks! --- [Visit Topic](https://discuss.mxnet.apache.org/t/make-ndarray-or-symbol-output-0-when-dividing-by-0/7005/1) or reply to this email to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.mxnet.apache.org/email/unsubscribe/96a4a650bab0b01358c959d17d1dc4a657bec3bc7df06b93339f1d718267d26e).
