Currently the logger is returning the logs of lightning Trainer twice - once through Trainer and once through pyqit, need to turn of one of em
Also, the info is not consistent
- The trainer returns the Model info which is being trained, but in
pipeline , it should have returned the pipeline struct?
- Or, maybe lets just turn off trainer logging in pipeline and the pipeline have its own kind of logging?
- Also, the
lightning trainer is not returning the params, I mean the trainer returns the model summary but that is by pyqit, then when the model moves to lightning trainer, it is messed up, maybe because it is not a classical model in that sense and trainer is not able to find params? Not sure - need to diagnose
Currently the logger is returning the logs of
lightningTrainertwice - once throughTrainerand once throughpyqit, need to turn of one of emAlso, the info is not consistent
pipeline, it should have returned the pipeline struct?lightningtrainer is not returning the params, I mean the trainer returns the model summary but that is bypyqit, then when the model moves tolightningtrainer, it is messed up, maybe because it is not a classical model in that sense andtraineris not able to find params? Not sure - need to diagnose