A trick to update wandb after each step

trinity/cli/launcher.py

@@ -103,6 +103,9 @@ def both(config: Config) -> None:
                 logger.error("Evaluation failed.")
                 raise e
 
+        ray.get(explorer.log_finalize.remote(step=explore_iter_num))
+        ray.get(trainer.log_finalize.remote(step=train_iter_num))
+
 
 def activate_data_module(config_path: str):
     """Check whether to activate data module and preprocess datasets."""

trinity/explorer/explorer.py

@@ -247,3 +247,7 @@ def sync_weight(self) -> None:
             self._offline_weights_update()
         else:  # online weights update
             self._online_weights_update()
+
+    def log_finalize(self, step: int) -> None:
+        """Commit the logging results to wandb"""
+        self.monitor.log({"dummy_log_explorer": step}, step=step, commit=True)

trinity/trainer/trainer.py

@@ -105,6 +105,10 @@ def sync_weight(self) -> None:
         if self.config.synchronizer.sync_method == "online":
             self.engine.sync_weight()
 
+    def log_finalize(self, step: int) -> None:
+        """Commit the logging results to wandb"""
+        self.engine.logger.log({"dummy_log_trainer": step}, step=step, commit=True)
+
 
 class TrainEngineWrapper(ABC):
     """A wrapper class to wrap various training engines."""

trinity/utils/monitor.py

@@ -52,9 +52,9 @@ def calculate_metrics(
                 metrics[key] = val
         return metrics
 
-    def log(self, data: dict, step: int) -> None:
+    def log(self, data: dict, step: int, commit: bool = False) -> None:
         """Log metrics."""
-        self.logger.log(data, step=step)
+        self.logger.log(data, step=step, commit=commit)
         self.console_logger.info(f"Step {step}: {data}")
 
     def __del__(self) -> None: