Wenqi Zhao

You can reference this [line](https://github.com/Green-Wood/BTTR/blob/651a704b30d569ae96e45fcf1f618ca1cd989457/bttr/lit_bttr.py?_pjax=%23js-repo-pjax-container%2C%20div%5Bitemtype%3D%22http%3A%2F%2Fschema.org%2FSoftwareSourceCode%22%5D%20main%2C%20%5Bdata-pjax-container%5D#L114) in `lit_bttr.py` file. Just pass your metric value to `self.log` function method. For more details, you can see pytorch-lightning official [logging documentation](https://pytorch-lightning.readthedocs.io/en/stable/extensions/logging.html).

You don't need to pass TensorboadLogger to Trainer, because this is the default behavior.

Well, these are just some shape descriptions of these tensors. For example: ``` b: batch size 1: we have just one input channel H: height of input image W: width...

Because different images may have different sizes, you need to collate images in one batch into a single tensor in `Batch` class.