diff --git a/keras/api/__init__.py b/keras/api/__init__.py
index 133437917237..bc3338fa2b29 100644
--- a/keras/api/__init__.py
+++ b/keras/api/__init__.py
@@ -63,5 +63,5 @@
 from keras.src.optimizers.optimizer import Optimizer as Optimizer
 from keras.src.quantizers.quantizers import Quantizer as Quantizer
 from keras.src.regularizers.regularizers import Regularizer as Regularizer
-from keras.src.version import __version__ as __version__
 from keras.src.version import version as version
+from keras.src.version import __version__ as __version__
diff --git a/keras/api/_tf_keras/keras/__init__.py b/keras/api/_tf_keras/keras/__init__.py
index 3457f05233e4..659b4534b3de 100644
--- a/keras/api/_tf_keras/keras/__init__.py
+++ b/keras/api/_tf_keras/keras/__init__.py
@@ -27,11 +27,6 @@
 from keras import utils as utils
 from keras import visualization as visualization
 from keras import wrappers as wrappers
-from keras._tf_keras.keras import backend as backend
-from keras._tf_keras.keras import layers as layers
-from keras._tf_keras.keras import losses as losses
-from keras._tf_keras.keras import metrics as metrics
-from keras._tf_keras.keras import preprocessing as preprocessing
 from keras.src.backend import Variable as Variable
 from keras.src.backend import device as device
 from keras.src.backend import name_scope as name_scope
@@ -61,5 +56,12 @@
 from keras.src.optimizers.optimizer import Optimizer as Optimizer
 from keras.src.quantizers.quantizers import Quantizer as Quantizer
 from keras.src.regularizers.regularizers import Regularizer as Regularizer
-from keras.src.version import __version__ as __version__
 from keras.src.version import version as version
+from keras.src.version import __version__ as __version__
+
+
+from keras._tf_keras.keras import backend as backend
+from keras._tf_keras.keras import layers as layers
+from keras._tf_keras.keras import losses as losses
+from keras._tf_keras.keras import metrics as metrics
+from keras._tf_keras.keras import preprocessing as preprocessing
diff --git a/keras/api/_tf_keras/keras/applications/__init__.py b/keras/api/_tf_keras/keras/applications/__init__.py
index 7c030b36bd4e..d9bd5494e777 100644
--- a/keras/api/_tf_keras/keras/applications/__init__.py
+++ b/keras/api/_tf_keras/keras/applications/__init__.py
@@ -72,12 +72,12 @@
 )
 from keras.src.applications.nasnet import NASNetLarge as NASNetLarge
 from keras.src.applications.nasnet import NASNetMobile as NASNetMobile
-from keras.src.applications.resnet import ResNet50 as ResNet50
 from keras.src.applications.resnet import ResNet101 as ResNet101
 from keras.src.applications.resnet import ResNet152 as ResNet152
-from keras.src.applications.resnet_v2 import ResNet50V2 as ResNet50V2
+from keras.src.applications.resnet import ResNet50 as ResNet50
 from keras.src.applications.resnet_v2 import ResNet101V2 as ResNet101V2
 from keras.src.applications.resnet_v2 import ResNet152V2 as ResNet152V2
+from keras.src.applications.resnet_v2 import ResNet50V2 as ResNet50V2
 from keras.src.applications.vgg16 import VGG16 as VGG16
 from keras.src.applications.vgg19 import VGG19 as VGG19
 from keras.src.applications.xception import Xception as Xception
diff --git a/keras/api/_tf_keras/keras/applications/resnet/__init__.py b/keras/api/_tf_keras/keras/applications/resnet/__init__.py
index b8a25644e1d9..cae7b6a5c05b 100644
--- a/keras/api/_tf_keras/keras/applications/resnet/__init__.py
+++ b/keras/api/_tf_keras/keras/applications/resnet/__init__.py
@@ -4,9 +4,9 @@
 since your modifications would be overwritten.
 """
 
-from keras.src.applications.resnet import ResNet50 as ResNet50
 from keras.src.applications.resnet import ResNet101 as ResNet101
 from keras.src.applications.resnet import ResNet152 as ResNet152
+from keras.src.applications.resnet import ResNet50 as ResNet50
 from keras.src.applications.resnet import (
     decode_predictions as decode_predictions,
 )
diff --git a/keras/api/_tf_keras/keras/applications/resnet_v2/__init__.py b/keras/api/_tf_keras/keras/applications/resnet_v2/__init__.py
index 7f92dd56f374..45b0ced50c2b 100644
--- a/keras/api/_tf_keras/keras/applications/resnet_v2/__init__.py
+++ b/keras/api/_tf_keras/keras/applications/resnet_v2/__init__.py
@@ -4,9 +4,9 @@
 since your modifications would be overwritten.
 """
 
-from keras.src.applications.resnet_v2 import ResNet50V2 as ResNet50V2
 from keras.src.applications.resnet_v2 import ResNet101V2 as ResNet101V2
 from keras.src.applications.resnet_v2 import ResNet152V2 as ResNet152V2
+from keras.src.applications.resnet_v2 import ResNet50V2 as ResNet50V2
 from keras.src.applications.resnet_v2 import (
     decode_predictions as decode_predictions,
 )
diff --git a/keras/api/_tf_keras/keras/backend/__init__.py b/keras/api/_tf_keras/keras/backend/__init__.py
index cd9037bcf4d6..1a87e31676aa 100644
--- a/keras/api/_tf_keras/keras/backend/__init__.py
+++ b/keras/api/_tf_keras/keras/backend/__init__.py
@@ -23,6 +23,9 @@
 from keras.src.backend.config import (
     set_image_data_format as set_image_data_format,
 )
+from keras.src.utils.naming import get_uid as get_uid
+
+
 from keras.src.legacy.backend import abs as abs
 from keras.src.legacy.backend import all as all
 from keras.src.legacy.backend import any as any
@@ -162,4 +165,3 @@
 from keras.src.legacy.backend import variable as variable
 from keras.src.legacy.backend import zeros as zeros
 from keras.src.legacy.backend import zeros_like as zeros_like
-from keras.src.utils.naming import get_uid as get_uid
diff --git a/keras/api/_tf_keras/keras/initializers/__init__.py b/keras/api/_tf_keras/keras/initializers/__init__.py
index e88013d97315..6cd6240e1bdf 100644
--- a/keras/api/_tf_keras/keras/initializers/__init__.py
+++ b/keras/api/_tf_keras/keras/initializers/__init__.py
@@ -7,9 +7,6 @@
 from keras.src.initializers import deserialize as deserialize
 from keras.src.initializers import get as get
 from keras.src.initializers import serialize as serialize
-from keras.src.initializers.constant_initializers import STFT as STFT
-from keras.src.initializers.constant_initializers import STFT as STFTInitializer
-from keras.src.initializers.constant_initializers import STFT as stft
 from keras.src.initializers.constant_initializers import Constant as Constant
 from keras.src.initializers.constant_initializers import Constant as constant
 from keras.src.initializers.constant_initializers import Identity as Identity
@@ -19,6 +16,9 @@
 from keras.src.initializers.constant_initializers import Identity as identity
 from keras.src.initializers.constant_initializers import Ones as Ones
 from keras.src.initializers.constant_initializers import Ones as ones
+from keras.src.initializers.constant_initializers import STFT as STFT
+from keras.src.initializers.constant_initializers import STFT as STFTInitializer
+from keras.src.initializers.constant_initializers import STFT as stft
 from keras.src.initializers.constant_initializers import Zeros as Zeros
 from keras.src.initializers.constant_initializers import Zeros as zeros
 from keras.src.initializers.initializer import Initializer as Initializer
diff --git a/keras/api/_tf_keras/keras/layers/__init__.py b/keras/api/_tf_keras/keras/layers/__init__.py
index ac7e0e12cca5..6dbd68cc83a8 100644
--- a/keras/api/_tf_keras/keras/layers/__init__.py
+++ b/keras/api/_tf_keras/keras/layers/__init__.py
@@ -356,10 +356,12 @@
 from keras.src.layers.rnn.time_distributed import (
     TimeDistributed as TimeDistributed,
 )
+from keras.src.utils.jax_layer import FlaxLayer as FlaxLayer
+from keras.src.utils.jax_layer import JaxLayer as JaxLayer
+from keras.src.utils.torch_utils import TorchModuleWrapper as TorchModuleWrapper
+
+
 from keras.src.legacy.layers import AlphaDropout as AlphaDropout
 from keras.src.legacy.layers import RandomHeight as RandomHeight
 from keras.src.legacy.layers import RandomWidth as RandomWidth
 from keras.src.legacy.layers import ThresholdedReLU as ThresholdedReLU
-from keras.src.utils.jax_layer import FlaxLayer as FlaxLayer
-from keras.src.utils.jax_layer import JaxLayer as JaxLayer
-from keras.src.utils.torch_utils import TorchModuleWrapper as TorchModuleWrapper
diff --git a/keras/api/_tf_keras/keras/losses/__init__.py b/keras/api/_tf_keras/keras/losses/__init__.py
index 73cc8e82db82..d96fafe148ef 100644
--- a/keras/api/_tf_keras/keras/losses/__init__.py
+++ b/keras/api/_tf_keras/keras/losses/__init__.py
@@ -4,16 +4,15 @@
 since your modifications would be overwritten.
 """
 
-from keras.src.legacy.losses import Reduction as Reduction
 from keras.src.losses import deserialize as deserialize
 from keras.src.losses import get as get
 from keras.src.losses import serialize as serialize
 from keras.src.losses.loss import Loss as Loss
-from keras.src.losses.losses import CTC as CTC
 from keras.src.losses.losses import BinaryCrossentropy as BinaryCrossentropy
 from keras.src.losses.losses import (
     BinaryFocalCrossentropy as BinaryFocalCrossentropy,
 )
+from keras.src.losses.losses import CTC as CTC
 from keras.src.losses.losses import (
     CategoricalCrossentropy as CategoricalCrossentropy,
 )
@@ -65,6 +64,15 @@
 from keras.src.losses.losses import dice as dice
 from keras.src.losses.losses import hinge as hinge
 from keras.src.losses.losses import huber as huber
+from keras.src.losses.losses import poisson as poisson
+from keras.src.losses.losses import (
+    sparse_categorical_crossentropy as sparse_categorical_crossentropy,
+)
+from keras.src.losses.losses import squared_hinge as squared_hinge
+from keras.src.losses.losses import tversky as tversky
+
+
+from keras.src.legacy.losses import Reduction as Reduction
 from keras.src.losses.losses import kl_divergence as KLD
 from keras.src.losses.losses import kl_divergence as kld
 from keras.src.losses.losses import kl_divergence as kullback_leibler_divergence
@@ -77,9 +85,3 @@
 from keras.src.losses.losses import mean_squared_error as mse
 from keras.src.losses.losses import mean_squared_logarithmic_error as MSLE
 from keras.src.losses.losses import mean_squared_logarithmic_error as msle
-from keras.src.losses.losses import poisson as poisson
-from keras.src.losses.losses import (
-    sparse_categorical_crossentropy as sparse_categorical_crossentropy,
-)
-from keras.src.losses.losses import squared_hinge as squared_hinge
-from keras.src.losses.losses import tversky as tversky
diff --git a/keras/api/_tf_keras/keras/metrics/__init__.py b/keras/api/_tf_keras/keras/metrics/__init__.py
index 11fd5db493cd..31f94c0cb1fe 100644
--- a/keras/api/_tf_keras/keras/metrics/__init__.py
+++ b/keras/api/_tf_keras/keras/metrics/__init__.py
@@ -17,18 +17,6 @@
 from keras.src.losses.losses import categorical_hinge as categorical_hinge
 from keras.src.losses.losses import hinge as hinge
 from keras.src.losses.losses import huber as huber
-from keras.src.losses.losses import kl_divergence as KLD
-from keras.src.losses.losses import kl_divergence as kld
-from keras.src.losses.losses import kl_divergence as kullback_leibler_divergence
-from keras.src.losses.losses import log_cosh as logcosh
-from keras.src.losses.losses import mean_absolute_error as MAE
-from keras.src.losses.losses import mean_absolute_error as mae
-from keras.src.losses.losses import mean_absolute_percentage_error as MAPE
-from keras.src.losses.losses import mean_absolute_percentage_error as mape
-from keras.src.losses.losses import mean_squared_error as MSE
-from keras.src.losses.losses import mean_squared_error as mse
-from keras.src.losses.losses import mean_squared_logarithmic_error as MSLE
-from keras.src.losses.losses import mean_squared_logarithmic_error as msle
 from keras.src.losses.losses import poisson as poisson
 from keras.src.losses.losses import (
     sparse_categorical_crossentropy as sparse_categorical_crossentropy,
@@ -144,3 +132,17 @@
 from keras.src.metrics.regression_metrics import (
     RootMeanSquaredError as RootMeanSquaredError,
 )
+
+
+from keras.src.losses.losses import kl_divergence as KLD
+from keras.src.losses.losses import kl_divergence as kld
+from keras.src.losses.losses import kl_divergence as kullback_leibler_divergence
+from keras.src.losses.losses import log_cosh as logcosh
+from keras.src.losses.losses import mean_absolute_error as MAE
+from keras.src.losses.losses import mean_absolute_error as mae
+from keras.src.losses.losses import mean_absolute_percentage_error as MAPE
+from keras.src.losses.losses import mean_absolute_percentage_error as mape
+from keras.src.losses.losses import mean_squared_error as MSE
+from keras.src.losses.losses import mean_squared_error as mse
+from keras.src.losses.losses import mean_squared_logarithmic_error as MSLE
+from keras.src.losses.losses import mean_squared_logarithmic_error as msle
diff --git a/keras/api/_tf_keras/keras/ops/__init__.py b/keras/api/_tf_keras/keras/ops/__init__.py
index e22715971d62..b7f4702e0752 100644
--- a/keras/api/_tf_keras/keras/ops/__init__.py
+++ b/keras/api/_tf_keras/keras/ops/__init__.py
@@ -220,9 +220,9 @@
 from keras.src.ops.numpy import less_equal as less_equal
 from keras.src.ops.numpy import linspace as linspace
 from keras.src.ops.numpy import log as log
+from keras.src.ops.numpy import log10 as log10
 from keras.src.ops.numpy import log1p as log1p
 from keras.src.ops.numpy import log2 as log2
-from keras.src.ops.numpy import log10 as log10
 from keras.src.ops.numpy import logaddexp as logaddexp
 from keras.src.ops.numpy import logaddexp2 as logaddexp2
 from keras.src.ops.numpy import logical_and as logical_and
diff --git a/keras/api/_tf_keras/keras/ops/numpy/__init__.py b/keras/api/_tf_keras/keras/ops/numpy/__init__.py
index 82b6b6dff363..96d38066175a 100644
--- a/keras/api/_tf_keras/keras/ops/numpy/__init__.py
+++ b/keras/api/_tf_keras/keras/ops/numpy/__init__.py
@@ -106,9 +106,9 @@
 from keras.src.ops.numpy import less_equal as less_equal
 from keras.src.ops.numpy import linspace as linspace
 from keras.src.ops.numpy import log as log
+from keras.src.ops.numpy import log10 as log10
 from keras.src.ops.numpy import log1p as log1p
 from keras.src.ops.numpy import log2 as log2
-from keras.src.ops.numpy import log10 as log10
 from keras.src.ops.numpy import logaddexp as logaddexp
 from keras.src.ops.numpy import logaddexp2 as logaddexp2
 from keras.src.ops.numpy import logical_and as logical_and
diff --git a/keras/api/_tf_keras/keras/preprocessing/__init__.py b/keras/api/_tf_keras/keras/preprocessing/__init__.py
index b11b4f3fd272..955c7f64df03 100644
--- a/keras/api/_tf_keras/keras/preprocessing/__init__.py
+++ b/keras/api/_tf_keras/keras/preprocessing/__init__.py
@@ -4,9 +4,6 @@
 since your modifications would be overwritten.
 """
 
-from keras._tf_keras.keras.preprocessing import image as image
-from keras._tf_keras.keras.preprocessing import sequence as sequence
-from keras._tf_keras.keras.preprocessing import text as text
 from keras.src.utils.image_dataset_utils import (
     image_dataset_from_directory as image_dataset_from_directory,
 )
@@ -16,3 +13,8 @@
 from keras.src.utils.timeseries_dataset_utils import (
     timeseries_dataset_from_array as timeseries_dataset_from_array,
 )
+
+
+from keras._tf_keras.keras.preprocessing import image as image
+from keras._tf_keras.keras.preprocessing import sequence as sequence
+from keras._tf_keras.keras.preprocessing import text as text
diff --git a/keras/api/_tf_keras/keras/preprocessing/image/__init__.py b/keras/api/_tf_keras/keras/preprocessing/image/__init__.py
index 43986878eb40..3af4024c3f61 100644
--- a/keras/api/_tf_keras/keras/preprocessing/image/__init__.py
+++ b/keras/api/_tf_keras/keras/preprocessing/image/__init__.py
@@ -4,6 +4,13 @@
 since your modifications would be overwritten.
 """
 
+from keras.src.utils.image_utils import array_to_img as array_to_img
+from keras.src.utils.image_utils import img_to_array as img_to_array
+from keras.src.utils.image_utils import load_img as load_img
+from keras.src.utils.image_utils import save_img as save_img
+from keras.src.utils.image_utils import smart_resize as smart_resize
+
+
 from keras.src.legacy.preprocessing.image import (
     DirectoryIterator as DirectoryIterator,
 )
@@ -35,8 +42,3 @@
 from keras.src.legacy.preprocessing.image import random_shear as random_shear
 from keras.src.legacy.preprocessing.image import random_shift as random_shift
 from keras.src.legacy.preprocessing.image import random_zoom as random_zoom
-from keras.src.utils.image_utils import array_to_img as array_to_img
-from keras.src.utils.image_utils import img_to_array as img_to_array
-from keras.src.utils.image_utils import load_img as load_img
-from keras.src.utils.image_utils import save_img as save_img
-from keras.src.utils.image_utils import smart_resize as smart_resize
diff --git a/keras/api/_tf_keras/keras/preprocessing/sequence/__init__.py b/keras/api/_tf_keras/keras/preprocessing/sequence/__init__.py
index 501c1f1123de..b721d18974d6 100644
--- a/keras/api/_tf_keras/keras/preprocessing/sequence/__init__.py
+++ b/keras/api/_tf_keras/keras/preprocessing/sequence/__init__.py
@@ -4,6 +4,9 @@
 since your modifications would be overwritten.
 """
 
+from keras.src.utils.sequence_utils import pad_sequences as pad_sequences
+
+
 from keras.src.legacy.preprocessing.sequence import (
     TimeseriesGenerator as TimeseriesGenerator,
 )
@@ -11,4 +14,3 @@
     make_sampling_table as make_sampling_table,
 )
 from keras.src.legacy.preprocessing.sequence import skipgrams as skipgrams
-from keras.src.utils.sequence_utils import pad_sequences as pad_sequences
diff --git a/keras/api/applications/__init__.py b/keras/api/applications/__init__.py
index 7c030b36bd4e..d9bd5494e777 100644
--- a/keras/api/applications/__init__.py
+++ b/keras/api/applications/__init__.py
@@ -72,12 +72,12 @@
 )
 from keras.src.applications.nasnet import NASNetLarge as NASNetLarge
 from keras.src.applications.nasnet import NASNetMobile as NASNetMobile
-from keras.src.applications.resnet import ResNet50 as ResNet50
 from keras.src.applications.resnet import ResNet101 as ResNet101
 from keras.src.applications.resnet import ResNet152 as ResNet152
-from keras.src.applications.resnet_v2 import ResNet50V2 as ResNet50V2
+from keras.src.applications.resnet import ResNet50 as ResNet50
 from keras.src.applications.resnet_v2 import ResNet101V2 as ResNet101V2
 from keras.src.applications.resnet_v2 import ResNet152V2 as ResNet152V2
+from keras.src.applications.resnet_v2 import ResNet50V2 as ResNet50V2
 from keras.src.applications.vgg16 import VGG16 as VGG16
 from keras.src.applications.vgg19 import VGG19 as VGG19
 from keras.src.applications.xception import Xception as Xception
diff --git a/keras/api/applications/resnet/__init__.py b/keras/api/applications/resnet/__init__.py
index b8a25644e1d9..cae7b6a5c05b 100644
--- a/keras/api/applications/resnet/__init__.py
+++ b/keras/api/applications/resnet/__init__.py
@@ -4,9 +4,9 @@
 since your modifications would be overwritten.
 """
 
-from keras.src.applications.resnet import ResNet50 as ResNet50
 from keras.src.applications.resnet import ResNet101 as ResNet101
 from keras.src.applications.resnet import ResNet152 as ResNet152
+from keras.src.applications.resnet import ResNet50 as ResNet50
 from keras.src.applications.resnet import (
     decode_predictions as decode_predictions,
 )
diff --git a/keras/api/applications/resnet_v2/__init__.py b/keras/api/applications/resnet_v2/__init__.py
index 7f92dd56f374..45b0ced50c2b 100644
--- a/keras/api/applications/resnet_v2/__init__.py
+++ b/keras/api/applications/resnet_v2/__init__.py
@@ -4,9 +4,9 @@
 since your modifications would be overwritten.
 """
 
-from keras.src.applications.resnet_v2 import ResNet50V2 as ResNet50V2
 from keras.src.applications.resnet_v2 import ResNet101V2 as ResNet101V2
 from keras.src.applications.resnet_v2 import ResNet152V2 as ResNet152V2
+from keras.src.applications.resnet_v2 import ResNet50V2 as ResNet50V2
 from keras.src.applications.resnet_v2 import (
     decode_predictions as decode_predictions,
 )
diff --git a/keras/api/initializers/__init__.py b/keras/api/initializers/__init__.py
index e88013d97315..6cd6240e1bdf 100644
--- a/keras/api/initializers/__init__.py
+++ b/keras/api/initializers/__init__.py
@@ -7,9 +7,6 @@
 from keras.src.initializers import deserialize as deserialize
 from keras.src.initializers import get as get
 from keras.src.initializers import serialize as serialize
-from keras.src.initializers.constant_initializers import STFT as STFT
-from keras.src.initializers.constant_initializers import STFT as STFTInitializer
-from keras.src.initializers.constant_initializers import STFT as stft
 from keras.src.initializers.constant_initializers import Constant as Constant
 from keras.src.initializers.constant_initializers import Constant as constant
 from keras.src.initializers.constant_initializers import Identity as Identity
@@ -19,6 +16,9 @@
 from keras.src.initializers.constant_initializers import Identity as identity
 from keras.src.initializers.constant_initializers import Ones as Ones
 from keras.src.initializers.constant_initializers import Ones as ones
+from keras.src.initializers.constant_initializers import STFT as STFT
+from keras.src.initializers.constant_initializers import STFT as STFTInitializer
+from keras.src.initializers.constant_initializers import STFT as stft
 from keras.src.initializers.constant_initializers import Zeros as Zeros
 from keras.src.initializers.constant_initializers import Zeros as zeros
 from keras.src.initializers.initializer import Initializer as Initializer
diff --git a/keras/api/losses/__init__.py b/keras/api/losses/__init__.py
index 60414fe301d0..93da12285afe 100644
--- a/keras/api/losses/__init__.py
+++ b/keras/api/losses/__init__.py
@@ -8,11 +8,11 @@
 from keras.src.losses import get as get
 from keras.src.losses import serialize as serialize
 from keras.src.losses.loss import Loss as Loss
-from keras.src.losses.losses import CTC as CTC
 from keras.src.losses.losses import BinaryCrossentropy as BinaryCrossentropy
 from keras.src.losses.losses import (
     BinaryFocalCrossentropy as BinaryFocalCrossentropy,
 )
+from keras.src.losses.losses import CTC as CTC
 from keras.src.losses.losses import (
     CategoricalCrossentropy as CategoricalCrossentropy,
 )
diff --git a/keras/api/ops/__init__.py b/keras/api/ops/__init__.py
index e22715971d62..b7f4702e0752 100644
--- a/keras/api/ops/__init__.py
+++ b/keras/api/ops/__init__.py
@@ -220,9 +220,9 @@
 from keras.src.ops.numpy import less_equal as less_equal
 from keras.src.ops.numpy import linspace as linspace
 from keras.src.ops.numpy import log as log
+from keras.src.ops.numpy import log10 as log10
 from keras.src.ops.numpy import log1p as log1p
 from keras.src.ops.numpy import log2 as log2
-from keras.src.ops.numpy import log10 as log10
 from keras.src.ops.numpy import logaddexp as logaddexp
 from keras.src.ops.numpy import logaddexp2 as logaddexp2
 from keras.src.ops.numpy import logical_and as logical_and
diff --git a/keras/api/ops/numpy/__init__.py b/keras/api/ops/numpy/__init__.py
index 82b6b6dff363..96d38066175a 100644
--- a/keras/api/ops/numpy/__init__.py
+++ b/keras/api/ops/numpy/__init__.py
@@ -106,9 +106,9 @@
 from keras.src.ops.numpy import less_equal as less_equal
 from keras.src.ops.numpy import linspace as linspace
 from keras.src.ops.numpy import log as log
+from keras.src.ops.numpy import log10 as log10
 from keras.src.ops.numpy import log1p as log1p
 from keras.src.ops.numpy import log2 as log2
-from keras.src.ops.numpy import log10 as log10
 from keras.src.ops.numpy import logaddexp as logaddexp
 from keras.src.ops.numpy import logaddexp2 as logaddexp2
 from keras.src.ops.numpy import logical_and as logical_and
diff --git a/keras/src/backend/tensorflow/numpy.py b/keras/src/backend/tensorflow/numpy.py
index c1f4e8066e37..c8d2e2dce63d 100644
--- a/keras/src/backend/tensorflow/numpy.py
+++ b/keras/src/backend/tensorflow/numpy.py
@@ -2742,6 +2742,41 @@ def round(x, decimals=0):
 
 def tile(x, repeats):
     x = convert_to_tensor(x)
+    
+    # Check if repeats contains only concrete integers
+    # If so, keep it as a Python list/tuple for better shape inference
+    try:
+        if isinstance(repeats, (list, tuple)):
+            # Try to extract concrete integer values
+            concrete_repeats = []
+            for r in repeats:
+                if isinstance(r, int):
+                    concrete_repeats.append(r)
+                elif hasattr(r, 'numpy') and r.shape == ():
+                    # Scalar tensor with concrete value
+                    concrete_repeats.append(int(r.numpy()))
+                else:
+                    # Not a concrete value, fall back to tensor path
+                    concrete_repeats = None
+                    break
+            
+            if concrete_repeats is not None:
+                # Use concrete repeats directly for better shape inference
+                repeats = concrete_repeats
+                # Pad or trim repeats to match x rank
+                x_rank = x.shape.rank
+                if x_rank is not None:
+                    if len(repeats) < x_rank:
+                        repeats = [1] * (x_rank - len(repeats)) + repeats
+                    elif len(repeats) > x_rank:
+                        # Need to reshape x to match repeats length
+                        x_shape_list = [1] * (len(repeats) - x_rank) + [d if d is not None else -1 for d in x.shape.as_list()]
+                        x = tf.reshape(x, x_shape_list)
+                return tf.tile(x, repeats)
+    except (AttributeError, TypeError, tf.errors.OperatorNotAllowedInGraphError):
+        pass
+    
+    # Original dynamic implementation for non-concrete repeats
     repeats = tf.reshape(convert_to_tensor(repeats, dtype="int32"), [-1])
     repeats_size = tf.size(repeats)
     repeats = tf.pad(
diff --git a/keras/src/ops/numpy.py b/keras/src/ops/numpy.py
index 5190ff2cd807..14ba45d2db5f 100644
--- a/keras/src/ops/numpy.py
+++ b/keras/src/ops/numpy.py
@@ -6411,6 +6411,15 @@ def compute_output_spec(self, x):
         repeats = self.repeats
         if isinstance(repeats, int):
             repeats = [repeats]
+        
+        # Convert repeats to list if it's a tuple or other iterable
+        # and extract concrete integer values
+        if not isinstance(repeats, list):
+            try:
+                repeats = list(repeats)
+            except TypeError:
+                repeats = [repeats]
+        
         if len(x_shape) > len(repeats):
             repeats = [1] * (len(x_shape) - len(repeats)) + repeats
         else:
@@ -6418,10 +6427,15 @@ def compute_output_spec(self, x):
 
         output_shape = []
         for x_size, repeat in zip(x_shape, repeats):
+            # Check if repeat is a concrete integer value
+            # If it's a symbolic tensor or unknown, we can't infer the size
             if x_size is None:
                 output_shape.append(None)
-            else:
+            elif isinstance(repeat, int):
                 output_shape.append(x_size * repeat)
+            else:
+                # repeat is symbolic (e.g., KerasTensor, tf.Tensor, etc.)
+                output_shape.append(None)
         return KerasTensor(output_shape, dtype=x.dtype)
 
 
diff --git a/keras/src/ops/numpy_test.py b/keras/src/ops/numpy_test.py
index 42a8c37b49e3..79bf0816ea6b 100644
--- a/keras/src/ops/numpy_test.py
+++ b/keras/src/ops/numpy_test.py
@@ -1820,6 +1820,10 @@ def test_tile(self):
         self.assertEqual(knp.tile(x, [2]).shape, (None, 6))
         self.assertEqual(knp.tile(x, [1, 2]).shape, (None, 6))
         self.assertEqual(knp.tile(x, [2, 1, 2]).shape, (2, None, 6))
+        
+        # Test with multi-dimensional input
+        x = KerasTensor((None, 3, 2, 2))
+        self.assertEqual(knp.tile(x, [1, 2, 1, 1]).shape, (None, 6, 2, 2))
 
     def test_trace(self):
         x = KerasTensor((None, 3, None, 5))
@@ -9507,3 +9511,23 @@ def call(self, x):
         model.compile(jit_compile=jit_compile)
 
         model.predict(np.random.randn(1, 8))
+
+    def test_tile_shape_inference_in_layer(self):
+        """Test that ops.tile properly infers output shape when used in a Layer.
+        
+        This is a regression test for issue #20914 where TensorFlow backend
+        would return all-None shapes when tile was called inside a Layer's
+        call method with concrete integer repeats.
+        """
+        class TileLayer(keras.layers.Layer):
+            def call(self, x):
+                # Use concrete integer repeats
+                repeats = [1, 2, 1, 1]
+                return knp.tile(x, repeats)
+
+        inputs = keras.Input(shape=(3, 2, 2))
+        output = TileLayer()(inputs)
+        
+        # With the fix, output shape should be (None, 6, 2, 2)
+        # Before the fix, it was (None, None, None, None)
+        self.assertEqual(output.shape, (None, 6, 2, 2))