Closed dhirajsuvarna closed 4 years ago
There were NAN's in the input to the network. These NaN's were generated after the Zero Mean and Normalization step for one model only. For time being I have removed that particular model from the dataset and was able to train.
Thank You.
Hi,
I am using PointNet on Pytorch using this github to train my custom dataset.
However, after training around 10-20 batches of examples, the loss goes into NAN.
I highly doubt that it is a exploding gradient issue. (still trying to diagnose the problem)
Posting this problem here in expectation of any help or direction that you may provide.
PS: I have also posted this in the github of fxia11/pointnet.pytorch.