Fix to metrics.

Author: adivekar-utexas

src/fmcore/framework/_algorithm.py

@@ -687,7 +687,7 @@ def postprocess(batch: Predictions, **kwargs) -> Predictions:
     def evaluate(
         self,
         dataset: Any,
-        metrics: Optional[Union[Union[Metric, Dict, str], List[Union[Metric, Dict, str]]]] = None,
+        metrics: Optional[List[Union[Metric, Dict, str]]] = None,
         **kwargs,
     ) -> List[Metric]:
         if metrics is None and "metric" in kwargs:

src/fmcore/framework/_metric.py

@@ -123,7 +123,7 @@ def _pre_registration_hook(cls):
     @model_validator(mode="before")
     @classmethod
     def _metric_convert_params(cls, params: Dict):
-        # print(f'Metric params: {params}')
+        print(f'Metric params: {params}')
         params["params"] = super(Metric, cls)._convert_params(cls.Params, params.get("params"))
         params["name"] = cls.class_name
         if "value" in params: