diff --git a/bob/bio/base/config/examples/pca_atnt.py b/bob/bio/base/config/examples/pca_atnt.py
index 792e6774d5f257ddc914cdddd14cf4a4fd1f3507..afffe2df476045a6509b2443269751b66fae0df9 100644
--- a/bob/bio/base/config/examples/pca_atnt.py
+++ b/bob/bio/base/config/examples/pca_atnt.py
@@ -24,5 +24,5 @@ from bob.bio.base.pipelines.vanilla_biometrics.mixins import (
     BioAlgDaskMixin,
 )
 
-#transformer = estimator_dask_it(transformer)
-#algorithm = mix_me_up(BioAlgDaskMixin, algorithm)
+transformer = estimator_dask_it(transformer)
+algorithm = mix_me_up(BioAlgDaskMixin, algorithm)
diff --git a/bob/bio/base/pipelines/vanilla_biometrics/mixins.py b/bob/bio/base/pipelines/vanilla_biometrics/mixins.py
index a61f9a599200b702fd746d0c070ec44f92135b83..c335a9aae5a4e9f142fd155f44541304aac7da29 100644
--- a/bob/bio/base/pipelines/vanilla_biometrics/mixins.py
+++ b/bob/bio/base/pipelines/vanilla_biometrics/mixins.py
@@ -87,7 +87,7 @@ class BioAlgCheckpointMixin(CheckpointMixin):
 class BioAlgDaskMixin:
     def enroll_samples(self, biometric_reference_features):
         biometric_references = biometric_reference_features.map_partitions(
-            self.enroll_samples
+            super().enroll_samples
         )
         return biometric_references
 
@@ -102,5 +102,5 @@ class BioAlgDaskMixin:
 
         all_references = dask.delayed(list)(biometric_references)
 
-        scores = probe_features.map_partitions(self.score_samples, all_references)
+        scores = probe_features.map_partitions(super().score_samples, all_references)
         return scores
diff --git a/bob/bio/base/script/vanilla_biometrics.py b/bob/bio/base/script/vanilla_biometrics.py
index 26c9a008b7b742fddce0de42db312d70c38d31b7..abe07934b0b91eea228110e9e8d3ccdfe3c73cda 100644
--- a/bob/bio/base/script/vanilla_biometrics.py
+++ b/bob/bio/base/script/vanilla_biometrics.py
@@ -183,7 +183,7 @@ def vanilla_biometrics(
                     logger.warning(
                         "`dask_client` not set. Your pipeline will run locally"
                     )
-                    result = result.compute()
+                    result = result.compute(scheduler="single-threaded")
 
             # Flatting out the list
             result = itertools.chain(*result)