diff --git a/python/paddle/nn/functional/loss.py b/python/paddle/nn/functional/loss.py
index f294cc376c21ec..1aab1bd9507ae2 100644
--- a/python/paddle/nn/functional/loss.py
+++ b/python/paddle/nn/functional/loss.py
@@ -14,9 +14,7 @@
 
 from __future__ import annotations
 
-import functools
 import math
-import operator
 from typing import TYPE_CHECKING, Literal, overload
 
 import paddle
@@ -110,10 +108,6 @@ def dice_loss(
     assert (
         input.shape[:-1] == label.shape[:-1]
     ), "All dimensions should be equal except the last one."
-    assert (
-        functools.reduce(operator.mul, input.shape) != 0
-        and functools.reduce(operator.mul, label.shape) != 0
-    ), "Any dimension of input and label cannot be equal to 0."
 
     label = paddle.squeeze(label, [-1])
     label = paddle.nn.functional.one_hot(label, input.shape[-1])
diff --git a/test/legacy_test/test_nn_dice_loss.py b/test/legacy_test/test_nn_dice_loss.py
index 8734bc05e749dd..317195e45423d3 100644
--- a/test/legacy_test/test_nn_dice_loss.py
+++ b/test/legacy_test/test_nn_dice_loss.py
@@ -14,9 +14,28 @@
 
 import unittest
 
+import numpy as np
+from op_test import get_places
+
+import paddle
+
 num_classes = 4
 eps = 1e-6
 
 
+class TestDiceLossOpApi_ZeroSize(unittest.TestCase):
+    def test_api_with_dygraph(self):
+        for place in get_places():
+            paddle.disable_static(place)
+            input = paddle.randn([0, 2]).astype(paddle.float64)
+            input.stop_gradient = False
+            label = paddle.randn([0, 1]).astype(paddle.int64)
+            label.stop_gradient = False
+            out = paddle.nn.functional.dice_loss(input, label, 1e-5)
+            np.testing.assert_allclose(out.numpy(), paddle.nan)
+            out.sum().backward()
+            np.testing.assert_allclose(input.grad.shape, input.shape)
+
+
 if __name__ == "__main__":
     unittest.main()