diff --git a/keras/src/ops/nn_test.py b/keras/src/ops/nn_test.py
index fe8d34fc656..114f997c44b 100644
--- a/keras/src/ops/nn_test.py
+++ b/keras/src/ops/nn_test.py
@@ -2208,9 +2208,12 @@ def test_psnr(self):
             bias=(None, True),
             scale=(None, 1.0),
             mask_and_is_causal=((None, False), (True, False), (None, True)),
+            flash_attention=(True, False),
         )
     )
-    def test_dot_product_attention(self, bias, scale, mask_and_is_causal):
+    def test_dot_product_attention(
+        self, bias, scale, mask_and_is_causal, flash_attention
+    ):
         mask, is_causal = mask_and_is_causal
         query_shape = (2, 3, 4, 5)
         key_shape = (2, 6, 4, 5)
@@ -2232,6 +2235,10 @@ def test_dot_product_attention(self, bias, scale, mask_and_is_causal):
                 mask_shape
             )
 
+        if flash_attention and backend.backend() in ["torch", "tensorflow", "numpy"]:
+            self.skipTest("Not supported in TF and NumPy and supported for "
+                          "PyTorch with specific requirements.")
+
         expected = _dot_product_attention(
             query,
             key,
@@ -2249,6 +2256,7 @@ def test_dot_product_attention(self, bias, scale, mask_and_is_causal):
             mask=mask,
             scale=scale,
             is_causal=is_causal,
+            flash_attention=flash_attention,
         )
         self.assertAllClose(outputs, expected)