Chnage the documentation to reflect the following changes:
Best practices:
- Use of mixed precision -> should be float-16-true, not mixed
- Using metric collections if you want to try standard image classification models to track metrics, prevents unnecessary subclassing
- copy to gpu -> implement a transfer_batch_to_device hook if you want the False option
- Using normalize_on_gpu: advice to set to True
- Using memory format channels last
Custom models:
- Use of the streamingconstructor for making custom models, instead of current workflow where nothing is done
Chnage the documentation to reflect the following changes:
Best practices:
Custom models: