src/batdetect2/evaluate/match.py

@@ -1,6 +1,5 @@
 from collections.abc import Callable, Iterable, Mapping
 from dataclasses import dataclass, field
-from functools import partial
 from typing import List, Literal, Optional, Protocol, Tuple
 
 import numpy as np
@@ -9,7 +8,6 @@ from soundevent import data
 from soundevent.evaluation import compute_affinity
 from soundevent.evaluation import match_geometries as optimal_match
 from soundevent.geometry import compute_bounds
-from torch.multiprocessing import Pool
 
 from batdetect2.configs import BaseConfig
 from batdetect2.typing import (
@@ -430,17 +428,19 @@ def match_all_predictions(
     config: Optional[MatchConfig] = None,
 ) -> List[MatchEvaluation]:
     logger.info("Matching all annotations and predictions...")
-    with Pool() as p:
-        all_matches = p.starmap(
-            partial(
-                match_sound_events_and_raw_predictions,
-                targets=targets,
-                config=config,
-            ),
-            zip(clip_annotations, predictions),
+    return [
+        match
+        for clip_annotation, raw_predictions in zip(
+            clip_annotations,
+            predictions,
         )
-
-    return [match for matches in all_matches for match in matches]
+        for match in match_sound_events_and_raw_predictions(
+            clip_annotation,
+            raw_predictions,
+            targets=targets,
+            config=config,
+        )
+    ]
 
 
 @dataclass

src/batdetect2/train/callbacks.py

@@ -108,8 +108,7 @@ class ValidationMetrics(Callback):
         trainer: Trainer,
         pl_module: LightningModule,
     ) -> None:
-        self._clip_annotations = []
-        self._predictions = []
+        self._matches = []
         return super().on_validation_epoch_start(trainer, pl_module)
 
     def on_validation_batch_end(  # type: ignore