_prepare_metric函数增加检查evaluate与get_metric方法

fastNLP/core/metrics.py

@@ -193,6 +193,11 @@ def _prepare_metrics(metrics):
                 if isinstance(metric, type):
                     metric = metric()
                 if isinstance(metric, MetricBase):
+                    metric_name = metric.__class__.__name__
+                    if not callable(metric.evaluate):
+                        raise TypeError(f"{metric_name}.evaluate must be callable, got {type(metric.evaluate)}.")
+                    if not callable(metric.get_metric):
+                        raise TypeError(f"{metric_name}.get_metric must be callable, got {type(metric.get_metric)}.")
                     _metrics.append(metric)
                 else:
                     raise TypeError(f"The type of metric in metrics must be `fastNLP.MetricBase`, not `{type(metric)}`.")