diff --git a/keras_core/layers/regularization/dropout_test.py b/keras_core/layers/regularization/dropout_test.py
index 2289fb5d7..5ec120cd7 100644
--- a/keras_core/layers/regularization/dropout_test.py
+++ b/keras_core/layers/regularization/dropout_test.py
@@ -30,7 +30,8 @@ class DropoutTest(testing.TestCase):
         self.assertAllClose(np.max(outputs), 2.0)
 
     @pytest.mark.skipif(
-        backend.backend() != "tensorflow", reason="Requires dynamic shapes"
+        not backend.DYNAMIC_SHAPES_OK,
+        reason="Backend does not support dynamic shapes",
     )
     def test_dropout_partial_noise_shape_dynamic(self):
         inputs = np.ones((20, 5, 10))
diff --git a/keras_core/operations/nn_test.py b/keras_core/operations/nn_test.py
index 4f2c21bb6..b83d5b1ff 100644
--- a/keras_core/operations/nn_test.py
+++ b/keras_core/operations/nn_test.py
@@ -2,15 +2,15 @@ import numpy as np
 import pytest
 import tensorflow as tf
 
+from keras_core import backend
 from keras_core import testing
-from keras_core.backend import backend
 from keras_core.backend.keras_tensor import KerasTensor
 from keras_core.operations import nn as knn
 
 
 @pytest.mark.skipif(
-    backend() != "tensorflow",
-    reason="Dynamic shapes are only supported in TensorFlow backend.",
+    not backend.DYNAMIC_SHAPES_OK,
+    reason="Backend does not support dynamic shapes",
 )
 class NNOpsDynamicShapeTest(testing.TestCase):
     def test_relu(self):
diff --git a/keras_core/operations/numpy_test.py b/keras_core/operations/numpy_test.py
index 26d9187cd..0d8af6c35 100644
--- a/keras_core/operations/numpy_test.py
+++ b/keras_core/operations/numpy_test.py
@@ -2,8 +2,8 @@ import numpy as np
 import pytest
 from tensorflow.python.ops.numpy_ops import np_config
 
+from keras_core import backend
 from keras_core import testing
-from keras_core.backend import backend
 from keras_core.backend.keras_tensor import KerasTensor
 from keras_core.operations import numpy as knp
 
@@ -12,8 +12,8 @@ np_config.enable_numpy_behavior()
 
 
 @pytest.mark.skipif(
-    backend() != "tensorflow",
-    reason="Dynamic shapes are only supported in TensorFlow backend.",
+    not backend.DYNAMIC_SHAPES_OK,
+    reason="Backend does not support dynamic shapes",
 )
 class NumpyTwoInputOpsDynamicShapeTest(testing.TestCase):
     def test_add(self):
@@ -624,8 +624,8 @@ class NumpyTwoInputOpsStaticShapeTest(testing.TestCase):
 
 
 @pytest.mark.skipif(
-    backend() != "tensorflow",
-    reason="Dynamic shapes are only supported in TensorFlow backend.",
+    not backend.DYNAMIC_SHAPES_OK,
+    reason="Backend does not support dynamic shapes",
 )
 class NumpyOneInputOpsDynamicShapeTest(testing.TestCase):
     def test_mean(self):
@@ -2635,7 +2635,7 @@ class NumpyOneInputOpsCorrectnessTest(testing.TestCase):
             np.meshgrid(x, y, z, indexing="ij"),
         )
 
-        if backend() == "tensorflow":
+        if backend.backend() == "tensorflow":
             # Arguments to `jax.numpy.meshgrid` must be 1D now.
             x = np.ones([1, 2, 3])
             y = np.ones([4, 5, 6, 6])