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diff --git a/training/trainer/util.py b/training/trainer/util.py
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+"""Utility functions for training neural networks."""
+from typing import Dict, Optional
+
+from loguru import logger
+
+
+def log_val_metric(metrics_mean: Dict, epoch: Optional[int] = None) -> None:
+ """Logging of val metrics to file/terminal."""
+ log_str = "Validation metrics " + (f"at epoch {epoch} - " if epoch else " - ")
+ logger.debug(log_str + " - ".join(f"{k}: {v:.4f}" for k, v in metrics_mean.items()))
+
+
+class RunningAverage:
+ """Maintains a running average."""
+
+ def __init__(self) -> None:
+ """Initializes the parameters."""
+ self.steps = 0
+ self.total = 0
+
+ def update(self, val: float) -> None:
+ """Updates the parameters."""
+ self.total += val
+ self.steps += 1
+
+ def __call__(self) -> float:
+ """Computes the running average."""
+ return self.total / float(self.steps)