About SiLog Loss NaN

[cheryllbl]

I replaced GLPDepth's backbone with MiT-B1, and after training 10 epochs, the loss of the model increased with each batch of data, and finally the loss became NaN. Has this happened to the author? I guarantee that the model has not changed anything other than backbone, the dataset is NYU V2, and the input size is 640x480.