From 4ae8b7bb5d5479ba3c36266c51317946dd4b26de Mon Sep 17 00:00:00 2001
From: Hana Joo <hanajoo@google.com>
Date: Wed, 1 Jul 2026 16:20:54 -0700
Subject: [PATCH] Automated Code Change

PiperOrigin-RevId: 941351156
---
 setup.py                                      |  2 +-
 tensorflow_recommenders/__init__.py           |  2 +-
 tensorflow_recommenders/examples/__init__.py  |  2 +-
 tensorflow_recommenders/examples/movielens.py |  8 +++----
 tensorflow_recommenders/examples/nbtool.py    |  2 +-
 .../experimental/__init__.py                  |  2 +-
 .../experimental/layers/__init__.py           |  2 +-
 .../experimental/layers/embedding/__init__.py |  2 +-
 .../layers/embedding/partial_tpu_embedding.py |  2 +-
 .../embedding/partial_tpu_embedding_test.py   |  2 +-
 .../experimental/models/__init__.py           |  2 +-
 .../experimental/models/ranking.py            | 12 +++++-----
 .../experimental/models/ranking_test.py       |  2 +-
 .../experimental/optimizers/__init__.py       |  2 +-
 .../experimental/optimizers/clippy_adagrad.py |  8 +++----
 .../optimizers/clippy_adagrad_test.py         |  2 +-
 .../optimizers/composite_optimizer.py         |  2 +-
 .../optimizers/composite_optimizer_test.py    |  2 +-
 tensorflow_recommenders/layers/__init__.py    |  2 +-
 tensorflow_recommenders/layers/blocks.py      |  2 +-
 .../layers/embedding/__init__.py              |  2 +-
 .../layers/embedding/tpu_embedding_layer.py   |  2 +-
 .../embedding/tpu_embedding_layer_test.py     |  2 +-
 .../layers/factorized_top_k.py                | 16 +++++++-------
 .../layers/factorized_top_k_test.py           | 22 +++++++++----------
 .../layers/feature_interaction/__init__.py    |  2 +-
 .../layers/feature_interaction/dcn.py         |  8 +++----
 .../layers/feature_interaction/dcn_test.py    |  2 +-
 .../feature_interaction/dot_interaction.py    |  2 +-
 .../dot_interaction_test.py                   |  2 +-
 .../feature_interaction/multi_layer_dcn.py    |  6 ++---
 .../multi_layer_dcn_test.py                   |  2 +-
 .../layers/feature_multiplexing/__init__.py   |  2 +-
 .../feature_multiplexing/unified_embedding.py |  6 ++---
 .../unified_embedding_test.py                 |  2 +-
 tensorflow_recommenders/layers/loss.py        |  4 ++--
 tensorflow_recommenders/layers/loss_test.py   |  2 +-
 tensorflow_recommenders/metrics/__init__.py   |  2 +-
 .../metrics/factorized_top_k.py               |  6 ++---
 .../metrics/factorized_top_k_test.py          |  2 +-
 tensorflow_recommenders/models/__init__.py    |  2 +-
 tensorflow_recommenders/models/base.py        |  2 +-
 tensorflow_recommenders/models/base_test.py   |  2 +-
 tensorflow_recommenders/public.py             |  2 +-
 tensorflow_recommenders/tasks/__init__.py     |  2 +-
 tensorflow_recommenders/tasks/base.py         |  2 +-
 tensorflow_recommenders/tasks/ranking.py      |  4 ++--
 tensorflow_recommenders/tasks/ranking_test.py |  2 +-
 tensorflow_recommenders/tasks/retrieval.py    |  4 ++--
 .../tasks/retrieval_test.py                   |  2 +-
 tensorflow_recommenders/types.py              |  2 +-
 tools/build_api_docs.py                       |  2 +-
 52 files changed, 92 insertions(+), 92 deletions(-)

diff --git a/setup.py b/setup.py
index 4dc99b17..772c4833 100644
--- a/setup.py
+++ b/setup.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/__init__.py b/tensorflow_recommenders/__init__.py
index ce269357..a6c8cb0b 100644
--- a/tensorflow_recommenders/__init__.py
+++ b/tensorflow_recommenders/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/examples/__init__.py b/tensorflow_recommenders/examples/__init__.py
index 96bcf13c..1e4a3acb 100644
--- a/tensorflow_recommenders/examples/__init__.py
+++ b/tensorflow_recommenders/examples/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/examples/movielens.py b/tensorflow_recommenders/examples/movielens.py
index d3313cee..e0422c26 100644
--- a/tensorflow_recommenders/examples/movielens.py
+++ b/tensorflow_recommenders/examples/movielens.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -65,14 +65,14 @@ def evaluate(user_model: tf.keras.Model,
 
   movie_embeddings = np.concatenate(
       list(movies.batch(4096).map(
-          lambda x: movie_model({"movie_id": x["movie_id"]})
+          lambda x: movie_model({"movie_id": x["movie_id"]})  # pyrefly: ignore[not-callable]
       ).as_numpy_iterator()))
 
   precision_values = []
   recall_values = []
 
   for user_id, test_movies in test_user_to_movies.items():
-    user_embedding = user_model({"user_id": np.array([user_id])}).numpy()
+    user_embedding = user_model({"user_id": np.array([user_id])}).numpy()  # pyrefly: ignore[not-callable]
     scores = (user_embedding @ movie_embeddings.T).flatten()
 
     test_movies = np.frombuffer(test_movies, dtype=np.int32)
@@ -189,4 +189,4 @@ def sample_listwise(
       tensor_slices["movie_title"].append(sampled_movie_titles)
       tensor_slices["user_rating"].append(sampled_ratings)
 
-  return tf.data.Dataset.from_tensor_slices(tensor_slices)
+  return tf.data.Dataset.from_tensor_slices(tensor_slices)  # pyrefly: ignore[bad-argument-type]
diff --git a/tensorflow_recommenders/examples/nbtool.py b/tensorflow_recommenders/examples/nbtool.py
index 279aba27..90a9760b 100644
--- a/tensorflow_recommenders/examples/nbtool.py
+++ b/tensorflow_recommenders/examples/nbtool.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/experimental/__init__.py b/tensorflow_recommenders/experimental/__init__.py
index 4e402da4..b0c7a37a 100644
--- a/tensorflow_recommenders/experimental/__init__.py
+++ b/tensorflow_recommenders/experimental/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/experimental/layers/__init__.py b/tensorflow_recommenders/experimental/layers/__init__.py
index 08cd88d3..860b2a2d 100644
--- a/tensorflow_recommenders/experimental/layers/__init__.py
+++ b/tensorflow_recommenders/experimental/layers/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/experimental/layers/embedding/__init__.py b/tensorflow_recommenders/experimental/layers/embedding/__init__.py
index 7819184e..f2a78af2 100644
--- a/tensorflow_recommenders/experimental/layers/embedding/__init__.py
+++ b/tensorflow_recommenders/experimental/layers/embedding/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/experimental/layers/embedding/partial_tpu_embedding.py b/tensorflow_recommenders/experimental/layers/embedding/partial_tpu_embedding.py
index 23f5e5b3..464d639b 100644
--- a/tensorflow_recommenders/experimental/layers/embedding/partial_tpu_embedding.py
+++ b/tensorflow_recommenders/experimental/layers/embedding/partial_tpu_embedding.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/experimental/layers/embedding/partial_tpu_embedding_test.py b/tensorflow_recommenders/experimental/layers/embedding/partial_tpu_embedding_test.py
index 0745939e..612d8112 100644
--- a/tensorflow_recommenders/experimental/layers/embedding/partial_tpu_embedding_test.py
+++ b/tensorflow_recommenders/experimental/layers/embedding/partial_tpu_embedding_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/experimental/models/__init__.py b/tensorflow_recommenders/experimental/models/__init__.py
index 6d82d7df..16162a7c 100644
--- a/tensorflow_recommenders/experimental/models/__init__.py
+++ b/tensorflow_recommenders/experimental/models/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/experimental/models/ranking.py b/tensorflow_recommenders/experimental/models/ranking.py
index 138609b9..776ce80f 100644
--- a/tensorflow_recommenders/experimental/models/ranking.py
+++ b/tensorflow_recommenders/experimental/models/ranking.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -192,7 +192,7 @@ def compute_loss(self,
           "Got a length {len(inputs)} tuple instead: {inputs}."
       )
 
-    outputs = self(features, training=training)
+    outputs = self(features, training=training)  # pyrefly: ignore[not-callable]
 
     loss = self._task(labels, outputs, sample_weight=sample_weight)
     loss = tf.reduce_mean(loss)
@@ -212,7 +212,7 @@ def call(self, inputs: Dict[str, tf.Tensor]) -> tf.Tensor:
     dense_features = inputs["dense_features"]
     sparse_features = inputs["sparse_features"]
 
-    sparse_embeddings = self._embedding_layer(sparse_features)
+    sparse_embeddings = self._embedding_layer(sparse_features)  # pyrefly: ignore[not-callable]
     # Combine a dictionary into a vector and squeeze dimension from
     # (batch_size, 1, emb) to (batch_size, emb).
     sparse_embeddings = tf.nest.flatten(sparse_embeddings)
@@ -220,10 +220,10 @@ def call(self, inputs: Dict[str, tf.Tensor]) -> tf.Tensor:
     sparse_embedding_vecs = [
         tf.squeeze(sparse_embedding) for sparse_embedding in sparse_embeddings
     ]
-    dense_embedding_vec = self._bottom_stack(dense_features)
+    dense_embedding_vec = self._bottom_stack(dense_features)  # pyrefly: ignore[not-callable]
 
     interaction_args = sparse_embedding_vecs + [dense_embedding_vec]
-    interaction_output = self._feature_interaction(interaction_args)
+    interaction_output = self._feature_interaction(interaction_args)  # pyrefly: ignore[not-callable]
     if self._concat_dense:
       feature_interaction_output = tf.concat(
           [dense_embedding_vec, interaction_output], axis=1
@@ -231,7 +231,7 @@ def call(self, inputs: Dict[str, tf.Tensor]) -> tf.Tensor:
     else:
       feature_interaction_output = interaction_output
 
-    prediction = self._top_stack(feature_interaction_output)
+    prediction = self._top_stack(feature_interaction_output)  # pyrefly: ignore[not-callable]
 
     return tf.reshape(prediction, [-1])
 
diff --git a/tensorflow_recommenders/experimental/models/ranking_test.py b/tensorflow_recommenders/experimental/models/ranking_test.py
index 3a4e6328..76084509 100644
--- a/tensorflow_recommenders/experimental/models/ranking_test.py
+++ b/tensorflow_recommenders/experimental/models/ranking_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/experimental/optimizers/__init__.py b/tensorflow_recommenders/experimental/optimizers/__init__.py
index 575b725f..fd645219 100644
--- a/tensorflow_recommenders/experimental/optimizers/__init__.py
+++ b/tensorflow_recommenders/experimental/optimizers/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/experimental/optimizers/clippy_adagrad.py b/tensorflow_recommenders/experimental/optimizers/clippy_adagrad.py
index 2f79c3aa..1f971995 100644
--- a/tensorflow_recommenders/experimental/optimizers/clippy_adagrad.py
+++ b/tensorflow_recommenders/experimental/optimizers/clippy_adagrad.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -175,7 +175,7 @@ def build(self, var_list: Sequence[tf.Variable]) -> None:
           self.add_variable_from_reference(
               var,
               "accumulator",
-              initial_value=initializer(shape=var.shape, dtype=var.dtype),
+              initial_value=initializer(shape=var.shape, dtype=var.dtype),  # pyrefly: ignore[not-callable]
           ))
       if self.export_clipping_factors:
         self.clipping_factors.append(
@@ -220,7 +220,7 @@ def update_step(self, grad: Union[tf.Tensor, tf.IndexedSlices],
     delta = lr * grad_values * precondition
     clipped_delta, clipping_factor = shrink_by_references(
         delta,
-        references=[variable_values, precondition],
+        references=[variable_values, precondition],  # pyrefly: ignore[bad-argument-type]
         relative_factors=[
             self.variable_relative_threshold,
             self.accumulator_relative_threshold
@@ -235,7 +235,7 @@ def update_step(self, grad: Union[tf.Tensor, tf.IndexedSlices],
         # Clip the accumulator update: this acts like clipping the gradient
         # before sending it to the optimizer. This is a good option when the
         # gradient is an outlier.
-        accumulator_update = grad_values * clipping_factor
+        accumulator_update = grad_values * clipping_factor  # pyrefly: ignore[unsupported-operation]
       else:
         # Does not clip the accumulator update: This is a good option in cases
         # where the gradient increases during training, and allows for quicker
diff --git a/tensorflow_recommenders/experimental/optimizers/clippy_adagrad_test.py b/tensorflow_recommenders/experimental/optimizers/clippy_adagrad_test.py
index b5c1d6eb..893aa4b4 100644
--- a/tensorflow_recommenders/experimental/optimizers/clippy_adagrad_test.py
+++ b/tensorflow_recommenders/experimental/optimizers/clippy_adagrad_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/experimental/optimizers/composite_optimizer.py b/tensorflow_recommenders/experimental/optimizers/composite_optimizer.py
index 9632e3d5..7bda1d60 100644
--- a/tensorflow_recommenders/experimental/optimizers/composite_optimizer.py
+++ b/tensorflow_recommenders/experimental/optimizers/composite_optimizer.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/experimental/optimizers/composite_optimizer_test.py b/tensorflow_recommenders/experimental/optimizers/composite_optimizer_test.py
index c1934ccc..ac94e0dc 100644
--- a/tensorflow_recommenders/experimental/optimizers/composite_optimizer_test.py
+++ b/tensorflow_recommenders/experimental/optimizers/composite_optimizer_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/layers/__init__.py b/tensorflow_recommenders/layers/__init__.py
index 48f85865..7d5bf6ee 100644
--- a/tensorflow_recommenders/layers/__init__.py
+++ b/tensorflow_recommenders/layers/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/layers/blocks.py b/tensorflow_recommenders/layers/blocks.py
index 477d3eb7..2f653fe4 100644
--- a/tensorflow_recommenders/layers/blocks.py
+++ b/tensorflow_recommenders/layers/blocks.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/layers/embedding/__init__.py b/tensorflow_recommenders/layers/embedding/__init__.py
index c9920ddd..fd8b5db8 100644
--- a/tensorflow_recommenders/layers/embedding/__init__.py
+++ b/tensorflow_recommenders/layers/embedding/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/layers/embedding/tpu_embedding_layer.py b/tensorflow_recommenders/layers/embedding/tpu_embedding_layer.py
index 98187d91..9999344c 100644
--- a/tensorflow_recommenders/layers/embedding/tpu_embedding_layer.py
+++ b/tensorflow_recommenders/layers/embedding/tpu_embedding_layer.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/layers/embedding/tpu_embedding_layer_test.py b/tensorflow_recommenders/layers/embedding/tpu_embedding_layer_test.py
index 2ced70e9..ea04bf65 100644
--- a/tensorflow_recommenders/layers/embedding/tpu_embedding_layer_test.py
+++ b/tensorflow_recommenders/layers/embedding/tpu_embedding_layer_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/layers/factorized_top_k.py b/tensorflow_recommenders/layers/factorized_top_k.py
index d8c75890..517088c4 100644
--- a/tensorflow_recommenders/layers/factorized_top_k.py
+++ b/tensorflow_recommenders/layers/factorized_top_k.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -215,7 +215,7 @@ def index_from_dataset(self, candidates: tf.data.Dataset) -> "TopK":
     return self.index(candidates, identifiers)
 
   @abc.abstractmethod
-  def call(
+  def call(  # pyrefly: ignore[bad-override]
       self,
       queries: Union[tf.Tensor, Dict[Text, tf.Tensor]],
       k: Optional[int] = None,
@@ -284,7 +284,7 @@ def query_with_exclusions(
     k = k if k is not None else self._k
 
     adjusted_k = k + exclusions.shape[1]
-    x, y = self(queries=queries, k=adjusted_k)
+    x, y = self(queries=queries, k=adjusted_k)  # pyrefly: ignore[not-callable]
     return _exclude(x, y, exclude=exclusions, k=k)
 
   @abc.abstractmethod
@@ -416,7 +416,7 @@ def call(
       )
 
     if self.query_model is not None:
-      queries = self.query_model(queries)
+      queries = self.query_model(queries)  # pyrefly: ignore[not-callable]
 
     # Reset the element counter.
     self._counter.assign(0)
@@ -426,7 +426,7 @@ def top_scores(
     ) -> Tuple[tf.Tensor, tf.Tensor]:
       """Computes top scores and indices for a batch of candidates."""
 
-      scores = self._compute_score(queries, candidate_batch)
+      scores = self._compute_score(queries, candidate_batch)  # pyrefly: ignore[bad-argument-type]
 
       if self._handle_incomplete_batches:
         k_ = tf.math.minimum(k, tf.shape(scores)[1])
@@ -598,9 +598,9 @@ def call(
       )
 
     if self.query_model is not None:
-      queries = self.query_model(queries)
+      queries = self.query_model(queries)  # pyrefly: ignore[not-callable]
 
-    scores = self._compute_score(queries, self._candidates)
+    scores = self._compute_score(queries, self._candidates)  # pyrefly: ignore[bad-argument-type]
 
     values, indices = tf.math.top_k(scores, k=k)
 
@@ -764,7 +764,7 @@ def call(
     searcher = scann_ops.searcher_from_module(self._serialized_searcher)
 
     if self.query_model is not None:
-      queries = self.query_model(queries)
+      queries = self.query_model(queries)  # pyrefly: ignore[not-callable]
 
     if not isinstance(queries, tf.Tensor):
       raise ValueError(f"Queries must be a tensor, got {type(queries)}.")
diff --git a/tensorflow_recommenders/layers/factorized_top_k_test.py b/tensorflow_recommenders/layers/factorized_top_k_test.py
index 45f22678..41ab1499 100644
--- a/tensorflow_recommenders/layers/factorized_top_k_test.py
+++ b/tensorflow_recommenders/layers/factorized_top_k_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -80,7 +80,7 @@ def run_save_and_restore_test(self, layer, query, num):
     for _ in range(num):
       post_serialization_results = restored(tf.constant(query))
 
-    self.assertAllEqual(post_serialization_results, pre_serialization_results)
+    self.assertAllEqual(post_serialization_results, pre_serialization_results)  # pyrefly: ignore[unbound-name]
 
   def run_top_k_test(self,
                      layer_class,
@@ -121,13 +121,13 @@ def run_top_k_test(self,
     expected_top_scores = np.take_along_axis(scores, indices, 1)
     expected_top_indices = candidate_indices[indices]
 
-    candidates = tf.data.Dataset.from_tensor_slices(candidates).batch(
+    candidates = tf.data.Dataset.from_tensor_slices(candidates).batch(  # pyrefly: ignore[bad-argument-type]
         batch_size)
 
     if indices_dtype is not None:
-      identifiers = tf.data.Dataset.from_tensor_slices(candidate_indices).batch(
+      identifiers = tf.data.Dataset.from_tensor_slices(candidate_indices).batch(  # pyrefly: ignore[bad-argument-type]
           batch_size)
-      candidates = tf.data.Dataset.zip((identifiers, candidates))
+      candidates = tf.data.Dataset.zip((identifiers, candidates))  # pyrefly: ignore[bad-argument-type]
 
     # Call twice to ensure the results are repeatable.
     for _ in range(2):
@@ -203,7 +203,7 @@ def test_scann_dataset_arg_no_identifiers(self):
 
     rng = np.random.RandomState(42)
     candidates = tf.data.Dataset.from_tensor_slices(
-        rng.normal(size=(num_candidates, 4)).astype(np.float32))
+        rng.normal(size=(num_candidates, 4)).astype(np.float32))  # pyrefly: ignore[bad-argument-type]
     query = rng.normal(size=(num_queries, 4)).astype(np.float32)
 
     scann = factorized_top_k.ScaNN()
@@ -217,9 +217,9 @@ def test_scann_dataset_arg_with_identifiers(self):
 
     rng = np.random.RandomState(42)
     candidates = tf.data.Dataset.from_tensor_slices(
-        rng.normal(size=(num_candidates, 4)).astype(np.float32))
+        rng.normal(size=(num_candidates, 4)).astype(np.float32))  # pyrefly: ignore[bad-argument-type]
     query = rng.normal(size=(num_queries, 4)).astype(np.float32)
-    identifiers = tf.data.Dataset.from_tensor_slices(np.arange(num_candidates))
+    identifiers = tf.data.Dataset.from_tensor_slices(np.arange(num_candidates))  # pyrefly: ignore[bad-argument-type]
 
     index = factorized_top_k.ScaNN()
     index.index_from_dataset(identifiers.zip(candidates).batch(100))
@@ -232,14 +232,14 @@ def test_raise_on_incorrect_input_shape(
 
     num_candidates = 100
     candidates = tf.data.Dataset.from_tensor_slices(
-        np.random.normal(size=(num_candidates, 4)).astype(np.float32))
+        np.random.normal(size=(num_candidates, 4)).astype(np.float32))  # pyrefly: ignore[bad-argument-type]
     identifiers = tf.data.Dataset.from_tensor_slices(
-        np.arange(num_candidates - 1))
+        np.arange(num_candidates - 1))  # pyrefly: ignore[bad-argument-type]
 
     with self.assertRaises(ValueError):
       index = layer_class()
       index.index_from_dataset(
-          tf.data.Dataset.zip((identifiers.batch(20), candidates.batch(100)))
+          tf.data.Dataset.zip((identifiers.batch(20), candidates.batch(100)))  # pyrefly: ignore[bad-argument-type]
       )
 
   @parameterized.parameters(test_cases())
diff --git a/tensorflow_recommenders/layers/feature_interaction/__init__.py b/tensorflow_recommenders/layers/feature_interaction/__init__.py
index e410dff8..adada7a6 100644
--- a/tensorflow_recommenders/layers/feature_interaction/__init__.py
+++ b/tensorflow_recommenders/layers/feature_interaction/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/layers/feature_interaction/dcn.py b/tensorflow_recommenders/layers/feature_interaction/dcn.py
index 963fb558..cca3a906 100644
--- a/tensorflow_recommenders/layers/feature_interaction/dcn.py
+++ b/tensorflow_recommenders/layers/feature_interaction/dcn.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -174,14 +174,14 @@ def call(self, x0: tf.Tensor, x: Optional[tf.Tensor] = None) -> tf.Tensor:
               x0.shape[-1], x.shape[-1]))
 
     if self._projection_dim is None:
-      prod_output = self._dense(x)
+      prod_output = self._dense(x)  # pyrefly: ignore[not-callable]
     else:
-      prod_output = self._dense_v(self._dense_u(x))
+      prod_output = self._dense_v(self._dense_u(x))  # pyrefly: ignore[not-callable]
 
     prod_output = tf.cast(prod_output, self.compute_dtype)
 
     if self._diag_scale:
-      prod_output = prod_output + self._diag_scale * x
+      prod_output = prod_output + self._diag_scale * x  # pyrefly: ignore[unsupported-operation]
 
     return x0 * prod_output + x
 
diff --git a/tensorflow_recommenders/layers/feature_interaction/dcn_test.py b/tensorflow_recommenders/layers/feature_interaction/dcn_test.py
index 4a018c9b..ce6d74d6 100644
--- a/tensorflow_recommenders/layers/feature_interaction/dcn_test.py
+++ b/tensorflow_recommenders/layers/feature_interaction/dcn_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/layers/feature_interaction/dot_interaction.py b/tensorflow_recommenders/layers/feature_interaction/dot_interaction.py
index 904ddeae..526d8ca7 100644
--- a/tensorflow_recommenders/layers/feature_interaction/dot_interaction.py
+++ b/tensorflow_recommenders/layers/feature_interaction/dot_interaction.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/layers/feature_interaction/dot_interaction_test.py b/tensorflow_recommenders/layers/feature_interaction/dot_interaction_test.py
index e877c1b2..f34ce71f 100644
--- a/tensorflow_recommenders/layers/feature_interaction/dot_interaction_test.py
+++ b/tensorflow_recommenders/layers/feature_interaction/dot_interaction_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/layers/feature_interaction/multi_layer_dcn.py b/tensorflow_recommenders/layers/feature_interaction/multi_layer_dcn.py
index e9bcbd43..76c30f45 100644
--- a/tensorflow_recommenders/layers/feature_interaction/multi_layer_dcn.py
+++ b/tensorflow_recommenders/layers/feature_interaction/multi_layer_dcn.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -113,7 +113,7 @@ def build(self, input_shape):
     last_dim = input_shape[-1]
     self._dense_u_kernels, self._dense_v_kernels = [], []
 
-    for _ in range(self._num_layers):
+    for _ in range(self._num_layers):  # pyrefly: ignore[bad-argument-type]
       self._dense_u_kernels.append(tf.keras.layers.Dense(
           self._projection_dim,
           kernel_initializer=_clone_initializer(self._kernel_initializer),
@@ -146,7 +146,7 @@ def call(self, x0: tf.Tensor) -> tf.Tensor:
 
     xl = x0
 
-    for i in range(self._num_layers):
+    for i in range(self._num_layers):  # pyrefly: ignore[bad-argument-type]
       prod_output = self._dense_v_kernels[i](self._dense_u_kernels[i](xl))
       xl = x0 * prod_output + xl
 
diff --git a/tensorflow_recommenders/layers/feature_interaction/multi_layer_dcn_test.py b/tensorflow_recommenders/layers/feature_interaction/multi_layer_dcn_test.py
index 7df890ad..b663e1ad 100644
--- a/tensorflow_recommenders/layers/feature_interaction/multi_layer_dcn_test.py
+++ b/tensorflow_recommenders/layers/feature_interaction/multi_layer_dcn_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/layers/feature_multiplexing/__init__.py b/tensorflow_recommenders/layers/feature_multiplexing/__init__.py
index ac6a7aa3..2d136a2b 100644
--- a/tensorflow_recommenders/layers/feature_multiplexing/__init__.py
+++ b/tensorflow_recommenders/layers/feature_multiplexing/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/layers/feature_multiplexing/unified_embedding.py b/tensorflow_recommenders/layers/feature_multiplexing/unified_embedding.py
index 8932e03d..2e12716d 100644
--- a/tensorflow_recommenders/layers/feature_multiplexing/unified_embedding.py
+++ b/tensorflow_recommenders/layers/feature_multiplexing/unified_embedding.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -173,8 +173,8 @@ def from_config(cls, config: Dict[str, Any]) -> "UnifiedEmbedding":
     # to rebuild the Hashing layers, and the serialized embed_layer. For the
     # other arguments to the initializer, we use empty "dummy" values.
     ue_config = UnifiedEmbeddingConfig(0, 0, 0, "")
-    ue_config.hashing_config = config.pop("hashing_config")
-    ue_config.hashing_config = {}
+    ue_config.hashing_config = config.pop("hashing_config")  # pyrefly: ignore[read-only]
+    ue_config.hashing_config = {}  # pyrefly: ignore[read-only]
     embed_layer = tf.keras.saving.deserialize_keras_object(
         config.pop("embed_layer"))
     config["config"] = ue_config
diff --git a/tensorflow_recommenders/layers/feature_multiplexing/unified_embedding_test.py b/tensorflow_recommenders/layers/feature_multiplexing/unified_embedding_test.py
index aa74f72e..7cf3a634 100644
--- a/tensorflow_recommenders/layers/feature_multiplexing/unified_embedding_test.py
+++ b/tensorflow_recommenders/layers/feature_multiplexing/unified_embedding_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/layers/loss.py b/tensorflow_recommenders/layers/loss.py
index 66c08d31..1425c49d 100644
--- a/tensorflow_recommenders/layers/loss.py
+++ b/tensorflow_recommenders/layers/loss.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -102,7 +102,7 @@ def call(self, logits: tf.Tensor,
     # k + 1 logit values, including the highest k negative logits and one true
     # logit.
     _, col_indices = tf.nn.top_k(
-        logits + labels * MAX_FLOAT, k=num_sampled, sorted=False)
+        logits + labels * MAX_FLOAT, k=num_sampled, sorted=False)  # pyrefly: ignore[unsupported-operation]
 
     # Gather sampled logits and corresponding labels.
     logits = _gather_elements_along_row(logits, col_indices)
diff --git a/tensorflow_recommenders/layers/loss_test.py b/tensorflow_recommenders/layers/loss_test.py
index 7ae484f9..78c9fa47 100644
--- a/tensorflow_recommenders/layers/loss_test.py
+++ b/tensorflow_recommenders/layers/loss_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/metrics/__init__.py b/tensorflow_recommenders/metrics/__init__.py
index bb7dc426..21b0b05d 100644
--- a/tensorflow_recommenders/metrics/__init__.py
+++ b/tensorflow_recommenders/metrics/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/metrics/factorized_top_k.py b/tensorflow_recommenders/metrics/factorized_top_k.py
index 66e52afb..30fb7325 100644
--- a/tensorflow_recommenders/metrics/factorized_top_k.py
+++ b/tensorflow_recommenders/metrics/factorized_top_k.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -131,7 +131,7 @@ def update_state(
       )
 
     positive_scores = tf.reduce_sum(
-        query_embeddings * true_candidate_embeddings, axis=1, keepdims=True)
+        query_embeddings * true_candidate_embeddings, axis=1, keepdims=True)  # pyrefly: ignore[unsupported-operation]
 
     top_k_predictions, retrieved_ids = self._candidates(
         query_embeddings, k=max(self._ks))
@@ -192,4 +192,4 @@ def update_state(
         update_ops.append(metric.update_state(top_k_accuracy, sample_weight))
 
     return tf.group(update_ops)
-  
\ No newline at end of file
+  
diff --git a/tensorflow_recommenders/metrics/factorized_top_k_test.py b/tensorflow_recommenders/metrics/factorized_top_k_test.py
index 1ca07554..3e36a139 100644
--- a/tensorflow_recommenders/metrics/factorized_top_k_test.py
+++ b/tensorflow_recommenders/metrics/factorized_top_k_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/models/__init__.py b/tensorflow_recommenders/models/__init__.py
index 1111c447..2638109d 100644
--- a/tensorflow_recommenders/models/__init__.py
+++ b/tensorflow_recommenders/models/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/models/base.py b/tensorflow_recommenders/models/base.py
index ca58b7bf..06322898 100644
--- a/tensorflow_recommenders/models/base.py
+++ b/tensorflow_recommenders/models/base.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/models/base_test.py b/tensorflow_recommenders/models/base_test.py
index 1eaeb2dc..d8e4ed13 100644
--- a/tensorflow_recommenders/models/base_test.py
+++ b/tensorflow_recommenders/models/base_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/public.py b/tensorflow_recommenders/public.py
index 02ec5528..c2a9e847 100644
--- a/tensorflow_recommenders/public.py
+++ b/tensorflow_recommenders/public.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/tasks/__init__.py b/tensorflow_recommenders/tasks/__init__.py
index f31349e0..ce3a48a0 100644
--- a/tensorflow_recommenders/tasks/__init__.py
+++ b/tensorflow_recommenders/tasks/__init__.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/tasks/base.py b/tensorflow_recommenders/tasks/base.py
index 98f225e9..ad0e1f17 100644
--- a/tensorflow_recommenders/tasks/base.py
+++ b/tensorflow_recommenders/tasks/base.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/tasks/ranking.py b/tensorflow_recommenders/tasks/ranking.py
index 33591abc..70e29238 100644
--- a/tensorflow_recommenders/tasks/ranking.py
+++ b/tensorflow_recommenders/tasks/ranking.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -86,7 +86,7 @@ def call(self,
       loss: Tensor of loss values.
     """
 
-    loss = self._loss(
+    loss = self._loss(  # pyrefly: ignore[not-callable]
         y_true=labels, y_pred=predictions, sample_weight=sample_weight)
 
     if not compute_metrics:
diff --git a/tensorflow_recommenders/tasks/ranking_test.py b/tensorflow_recommenders/tasks/ranking_test.py
index f034167d..b8549daa 100644
--- a/tensorflow_recommenders/tasks/ranking_test.py
+++ b/tensorflow_recommenders/tasks/ranking_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/tasks/retrieval.py b/tensorflow_recommenders/tasks/retrieval.py
index a5fed38e..c94d3c86 100644
--- a/tensorflow_recommenders/tasks/retrieval.py
+++ b/tensorflow_recommenders/tasks/retrieval.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -207,7 +207,7 @@ def call(
           scores,
           labels)
 
-    loss = self._loss(y_true=labels, y_pred=scores, sample_weight=sample_weight)
+    loss = self._loss(y_true=labels, y_pred=scores, sample_weight=sample_weight)  # pyrefly: ignore[not-callable]
 
     update_ops = []
     for metric in self._loss_metrics:
diff --git a/tensorflow_recommenders/tasks/retrieval_test.py b/tensorflow_recommenders/tasks/retrieval_test.py
index d7b8b269..2a1c324b 100644
--- a/tensorflow_recommenders/tasks/retrieval_test.py
+++ b/tensorflow_recommenders/tasks/retrieval_test.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tensorflow_recommenders/types.py b/tensorflow_recommenders/types.py
index 6397a6de..af5ea81a 100644
--- a/tensorflow_recommenders/types.py
+++ b/tensorflow_recommenders/types.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
diff --git a/tools/build_api_docs.py b/tools/build_api_docs.py
index 9291a9af..54596b8f 100644
--- a/tools/build_api_docs.py
+++ b/tools/build_api_docs.py
@@ -1,4 +1,4 @@
-# Copyright 2025 The TensorFlow Recommenders Authors.
+# Copyright 2026 The TensorFlow Recommenders Authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.