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Revert "Fixes inconsistent serialization logic for inputs (#20993) #21336

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Merged
merged 2 commits into from
May 31, 2025
Merged

Revert "Fixes inconsistent serialization logic for inputs (#20993) #21336

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63bec7a
Revert "Fixes inconsistent serialization logic for inputs (#20993)"
divyashreepathihalli May 30, 2025
57b3166
Merge branch 'keras-team:master' into clean_branch
divyashreepathihalli May 30, 2025
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2 changes: 2 additions & 0 deletions keras/src/models/functional.py
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Original file line number Diff line number Diff line change
Expand Up @@ -621,6 +621,8 @@ def map_tensors(tensors):

input_tensors = map_tensors(functional_config["input_layers"])
output_tensors = map_tensors(functional_config["output_layers"])
if isinstance(input_tensors, list) and len(input_tensors) == 1:
input_tensors = input_tensors[0]
if isinstance(output_tensors, list) and len(output_tensors) == 1:
output_tensors = output_tensors[0]

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14 changes: 0 additions & 14 deletions keras/src/models/functional_test.py
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Expand Up @@ -17,7 +17,6 @@
from keras.src.models import Functional
from keras.src.models import Model
from keras.src.models import Sequential
from keras.src.models.model import model_from_json


class FunctionalTest(testing.TestCase):
Expand Down Expand Up @@ -274,19 +273,6 @@ def test_restored_multi_output_type(self, out_type):
out_val = model_restored(Input(shape=(3,), batch_size=2))
self.assertIsInstance(out_val, out_type)

def test_restored_nested_input(self):
input_a = Input(shape=(3,), batch_size=2, name="input_a")
x = layers.Dense(5)(input_a)
outputs = layers.Dense(4)(x)
model = Functional([[input_a]], outputs)

# Serialize and deserialize the model
json_config = model.to_json()
restored_json_config = model_from_json(json_config).to_json()

# Check that the serialized model is the same as the original
self.assertEqual(json_config, restored_json_config)

@pytest.mark.requires_trainable_backend
def test_layer_getters(self):
# Test mixing ops and layers
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