WandbLogger does not mark uploaded model as 'artifact'
🐛 Bug
I'm using WandbLogger with the latest pytorch-lightning==1.0.8. It seems like trained checkpoint is treated as mere file not a model artifact, even I turned on log_model=True. It's much convenient to use model artifact from other script so I hope that is done by pytorch-lightning automatically.
Environment
* CUDA:
        - GPU:
                - GeForce RTX 3090
        - available:         True
        - version:           11.0
* Packages:
        - numpy:             1.19.2
        - pyTorch_debug:     True
        - pyTorch_version:   1.7.0
        - pytorch-lightning: 1.0.8
        - tensorboard:       2.3.0
        - tqdm:              4.51.0
* System:
        - OS:                Linux
        - architecture:
                - 64bit
                - ELF
        - processor:         x86_64
        - python:            3.8.5
        - version:           #60-Ubuntu SMP Fri Nov 6 10:37:59 UTC 2020