From 936e6715b7ff3ba031288d72f395f3a7cf2a658a Mon Sep 17 00:00:00 2001
From: Hongyu Chiu <20734616+james77777778@users.noreply.github.com>
Date: Wed, 6 Nov 2024 22:25:28 +0800
Subject: [PATCH] Suppress warnings for mismatched tuples and lists in
 functional models.

---
 keras/src/models/functional.py      | 6 +++++-
 keras/src/models/functional_test.py | 9 ++++++++-
 2 files changed, 13 insertions(+), 2 deletions(-)

diff --git a/keras/src/models/functional.py b/keras/src/models/functional.py
index 0acb84ed028..9c71308a651 100644
--- a/keras/src/models/functional.py
+++ b/keras/src/models/functional.py
@@ -214,8 +214,12 @@ def _assert_input_compatibility(self, *args):
 
     def _maybe_warn_inputs_struct_mismatch(self, inputs):
         try:
+            # We first normalize to tuples before performing the check to
+            # suppress warnings when encountering mismatched tuples and lists.
             tree.assert_same_structure(
-                inputs, self._inputs_struct, check_types=False
+                tree.lists_to_tuples(inputs),
+                tree.lists_to_tuples(self._inputs_struct),
+                check_types=False,
             )
         except:
             model_inputs_struct = tree.map_structure(
diff --git a/keras/src/models/functional_test.py b/keras/src/models/functional_test.py
index ef792fd7f11..44858d33811 100644
--- a/keras/src/models/functional_test.py
+++ b/keras/src/models/functional_test.py
@@ -1,4 +1,5 @@
 import os
+import warnings
 
 import numpy as np
 import pytest
@@ -503,13 +504,19 @@ def test_warning_for_mismatched_inputs_structure(self):
         model = Model({"i1": i1, "i2": i2}, outputs)
 
         with pytest.warns() as record:
-            model([np.ones((2, 2)), np.zeros((2, 2))])
+            model.predict([np.ones((2, 2)), np.zeros((2, 2))], verbose=0)
         self.assertLen(record, 1)
         self.assertStartsWith(
             str(record[0].message),
             r"The structure of `inputs` doesn't match the expected structure:",
         )
 
+        # No warning for mismatched tuples and lists.
+        model = Model([i1, i2], outputs)
+        with warnings.catch_warnings(record=True) as warning_logs:
+            model.predict((np.ones((2, 2)), np.zeros((2, 2))), verbose=0)
+            self.assertLen(warning_logs, 0)
+
     def test_for_functional_in_sequential(self):
         # Test for a v3.4.1 regression.
         if backend.image_data_format() == "channels_first":