WandbLogger does not seem to support model and parameter tracking
I am unsure whether this issue can be fixed from PyTorch Lightning's side or whether the issue lies with Wandb.  The problem is that the WandbLogger.watch() function

  
    
      pytorch-lightning/pytorch_lightning/loggers/wandb.py
    
    
        Lines 136 to 137
      in
      c46de8a
    
  
  
    

        
          
           def watch(self, model: nn.Module, log: str = 'gradients', log_freq: int = 100): 
        

        
          
               self.experiment.watch(model, log=log, log_freq=log_freq) 
        
    
  


calls the watch() function in wandb/sdk/watch_run.py (on Wandb's side), which is basically commented out.
def watch(self, models, criterion=None, log="gradients", log_freq=100, idx=None):
    logger.info("Watching")
    # wandb.run.watch(watch)

If the last line of that function is changed to wandb.watch( models, criterion, log, log_freq, idx) (this function is in wandb/sdk/watch_watch.py) then everything seems to work like it should. Alternatively, I think it should be possible for WandbLogger.watch() to call  wandb.watch( models, criterion, log, log_freq, idx) directly.
It seems @borisdayma previously worked a lot on Wandblogger, so I'll mention him.