Introduce run name auto composition

conf/train/default.yaml

@@ -51,6 +51,7 @@ logging:
   logger:
     _target_: pytorch_lightning.loggers.WandbLogger
 
+    name: null
     project: ${core.project_name}
     entity: null
     log_model: ${..upload.checkpoint}

src/nn_template/data/datamodule.py

@@ -33,6 +33,10 @@ def __init__(
         # example
         self.val_percentage: float = val_percentage
 
+    @property
+    def name(self) -> str:
+        return "mnist_data"
+
     def prepare_data(self) -> None:
         # download only
         pass

src/nn_template/pl_modules/pl_module.py

@@ -28,6 +28,10 @@ def __init__(self, *args, **kwargs) -> None:
         self.val_accuracy = metric.clone()
         self.test_accuracy = metric.clone()
 
+    @property
+    def name(self) -> str:
+        return "simple_cnn"
+
     def forward(self, x: torch.Tensor) -> torch.Tensor:
         """Method for the forward pass.
 

src/nn_template/run.py

@@ -114,6 +114,7 @@ def run(cfg: DictConfig) -> str:
 
     storage_dir: str = cfg.core.storage_dir
 
+    cfg.train.logging.logger.name = f"{datamodule.name}-{model.name}"
     logger: NNLogger = NNLogger(logging_cfg=cfg.train.logging, cfg=cfg, resume_id=resume_run_version)
 
     pylogger.info("Instantiating the <Trainer>")