Fix evaluators actually pulling eval metrics

scripts/train/train.py

@@ -15,6 +15,7 @@
 from composer.loggers import MosaicMLLogger
 from composer.loggers.mosaicml_logger import (MOSAICML_ACCESS_TOKEN_ENV_VAR,
                                               MOSAICML_PLATFORM_ENV_VAR)
+from composer.metrics.nlp import InContextLearningMetric
 from composer.profiler import (JSONTraceHandler, Profiler, TraceHandler,
                                cyclic_schedule)
 from composer.utils import dist, get_device, reproducibility
@@ -534,9 +535,12 @@ def main(cfg: DictConfig) -> Trainer:
 
     # Now add the eval metrics
     if eval_loader_config is not None and not use_async_eval:
-        train_metrics = model.get_metrics(is_train=True)
-        evaluators = add_metrics_to_eval_loaders(evaluators,
-                                                 list(train_metrics.keys()))
+        eval_metrics = model.get_metrics(is_train=False)
+        non_icl_metrics = [
+            metric_name for metric_name, metric in eval_metrics.items()
+            if not isinstance(metric, InContextLearningMetric)
+        ]
+        evaluators = add_metrics_to_eval_loaders(evaluators, non_icl_metrics)
 
     # Build the Trainer
     log.info('Building trainer...')

tests/a_scripts/train/test_train.py

@@ -122,7 +122,6 @@ def test_train_multi_eval(tmp_path: pathlib.Path):
     inmemorylogger = trainer.logger.destinations[
         0]  # pyright: ignore [reportGeneralTypeIssues]
     assert isinstance(inmemorylogger, InMemoryLogger)
-    print(inmemorylogger.data.keys())
 
     # Checks for first eval dataloader
     assert 'metrics/eval/c4/LanguageCrossEntropy' in inmemorylogger.data.keys()
@@ -143,3 +142,31 @@ def test_train_multi_eval(tmp_path: pathlib.Path):
     assert isinstance(
         inmemorylogger.data['metrics/eval/arxiv/LanguageCrossEntropy'][-1],
         tuple)
+
+
+def test_eval_metrics_with_no_train_metrics(tmp_path: pathlib.Path):
+    """Test using use_train_metrics=False does not disable eval metrics."""
+    c4_dataset_name = create_c4_dataset_xxsmall(tmp_path)
+    test_cfg = gpt_tiny_cfg(c4_dataset_name, 'cpu')
+    first_eval_loader = test_cfg.eval_loader
+    first_eval_loader.label = 'c4'
+    test_cfg.eval_loader = om.create([first_eval_loader])
+    test_cfg.eval_subset_num_batches = 1  # -1 to evaluate on all batches
+    test_cfg.max_duration = '1ba'
+    test_cfg.eval_interval = '1ba'
+    test_cfg.loggers = DictConfig({'inmemory': DictConfig({})})
+    test_cfg.model['use_train_metrics'] = False
+    trainer = main(test_cfg)
+
+    # Check eval metrics exist
+    inmemorylogger = trainer.logger.destinations[
+        0]  # pyright: ignore [reportGeneralTypeIssues]
+    assert isinstance(inmemorylogger, InMemoryLogger)
+
+    assert 'metrics/eval/c4/LanguageCrossEntropy' in inmemorylogger.data.keys()
+    assert isinstance(
+        inmemorylogger.data['metrics/eval/c4/LanguageCrossEntropy'], list)
+    assert len(
+        inmemorylogger.data['metrics/eval/c4/LanguageCrossEntropy'][-1]) > 0
+    assert isinstance(
+        inmemorylogger.data['metrics/eval/c4/LanguageCrossEntropy'][-1], tuple)