From 74c5fd8e3788252043b5d5cb1cd1e5c17c4a7ae0 Mon Sep 17 00:00:00 2001
From: Hamidreza Hosseinkhani <hamidreza@hosseinkhani.me>
Date: Thu, 25 Sep 2025 23:29:14 -0400
Subject: [PATCH] Fix Keras 3.x compatibility in FactorizedTopK layer

The add_weight() method call in Streaming.init used positional
arguments which breaks with Keras 3.x. Changed to keyword argument to maintain compatibility with both Keras 2.x and 3.x versions.

Fixes users getting "Cannot convert ('c','o','u','n','t','e','r') to
a shape" error when using TensorFlow 2.16+ with TFRS 0.7.3.

Fixes #712
Fixes #731
Fixes #748
Fixes #754
Fixes #759
---
 tensorflow_recommenders/layers/factorized_top_k.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tensorflow_recommenders/layers/factorized_top_k.py b/tensorflow_recommenders/layers/factorized_top_k.py
index 3f74fe4..ebbca38 100644
--- a/tensorflow_recommenders/layers/factorized_top_k.py
+++ b/tensorflow_recommenders/layers/factorized_top_k.py
@@ -373,7 +373,7 @@ def __init__(self,
     self._num_parallel_calls = num_parallel_calls
     self._sorted = sorted_order
 
-    self._counter = self.add_weight("counter", dtype=tf.int32, trainable=False)
+    self._counter = self.add_weight(name="counter", dtype=tf.int32, trainable=False)
 
   def index_from_dataset(
       self,