diff --git a/tensorflow_gnn/models/contrastive_losses/tasks.py b/tensorflow_gnn/models/contrastive_losses/tasks.py
index 7a57a945..c40b547f 100644
--- a/tensorflow_gnn/models/contrastive_losses/tasks.py
+++ b/tensorflow_gnn/models/contrastive_losses/tasks.py
@@ -53,7 +53,6 @@ class ContrastiveLossTask(runner.Task):
 
   Any model-specific preprocessing should be implemented in the `preprocess`.
   """
-  # TODO(tsitsulin): move `preprocess` here.
 
   def __init__(
       self,
@@ -96,6 +95,14 @@ def __init__(
     else:
       self._projector = None
 
+  def preprocess(
+      self, inputs: GraphTensor
+  ) -> tuple[Sequence[GraphTensor], runner.Predictions]:
+    """Applies a `Corruptor` and returns empty pseudo-labels."""
+    x = (inputs, self._corruptor(inputs))
+    y = tf.zeros((inputs.num_components, 0), dtype=tf.int32)
+    return x, y
+
   def predict(self, *args: tfgnn.GraphTensor) -> runner.Predictions:
     """Apply a readout head for use with various contrastive losses.
 
@@ -249,14 +256,6 @@ def __init__(
   def make_contrastive_layer(self) -> tf.keras.layers.Layer:
     return tf.keras.layers.Layer()
 
-  def preprocess(
-      self, inputs: GraphTensor
-  ) -> tuple[Sequence[GraphTensor], Field]:
-    """Creates unused pseudo-labels."""
-    x = (inputs, self._corruptor(inputs))
-    y = tf.zeros((inputs.num_components, 0), dtype=tf.int32)
-    return x, y
-
   def losses(self) -> runner.Losses:
     def loss_fn(_, x):
       return losses.barlow_twins_loss(
@@ -290,14 +289,6 @@ def __init__(
   def make_contrastive_layer(self) -> tf.keras.layers.Layer:
     return tf.keras.layers.Layer()
 
-  def preprocess(
-      self, inputs: GraphTensor
-  ) -> tuple[Sequence[GraphTensor], Field]:
-    """Creates unused pseudo-labels."""
-    x = (inputs, self._corruptor(inputs))
-    y = tf.zeros((inputs.num_components, 0), dtype=tf.int32)
-    return x, y
-
   def losses(self) -> runner.Losses:
     def loss_fn(_, x):
       return losses.vicreg_loss(