[Solved] How to implement custom loss function?

I’ve read your loss function
but I can’t see what is the difference except you use torch and F’s operation (like torch.mean(), F.softplus()) at the end of each function

This is code I’m writing

https://github.com/youngminpark2559/test/tree/master/update_CNN

Would you tell me what is the difference?

Generating network

https://github.com/youngminpark2559/test/blob/master/update_CNN/train/train.py#L65

Obtaining prediction

https://github.com/youngminpark2559/test/blob/master/update_CNN/train/train.py#L97

Calculating loss

https://github.com/youngminpark2559/test/blob/master/update_CNN/train/train.py#L102

Updating network

https://github.com/youngminpark2559/test/blob/master/update_CNN/train/train.py#L170