diff --git a/paddle/phi/infermeta/unary.cc b/paddle/phi/infermeta/unary.cc
index 2b35545db1cd8ee5d6f9ce30a37a41029ff113bf..f2fcb3162081fb871117c39c2ed02d2334404bcc 100644
--- a/paddle/phi/infermeta/unary.cc
+++ b/paddle/phi/infermeta/unary.cc
@@ -3395,6 +3395,21 @@ void SliceRawInferMeta(const MetaTensor& input,
     }
   }
 
+  PADDLE_ENFORCE_EQ(
+      axes.size(),
+      starts_arr.size(),
+      phi::errors::InvalidArgument(
+          "The length of axes (%d) and length of starts (%d) should be same.",
+          axes.size(),
+          starts_arr.size()));
+  PADDLE_ENFORCE_EQ(
+      axes.size(),
+      ends_arr.size(),
+      phi::errors::InvalidArgument(
+          "The length of axes (%d) and length of ends (%d) should be same.",
+          axes.size(),
+          ends_arr.size()));
+
   // 2.1 Check attrs.
   std::vector<int64_t> starts = starts_arr.GetData();
   std::vector<int64_t> ends = ends_arr.GetData();
diff --git a/python/paddle/fluid/tests/unittests/test_slice_op.py b/python/paddle/fluid/tests/unittests/test_slice_op.py
index 19aa669badf5c48bfc0720c1a053fd6f5bd50bde..157818e794301249bcd2ee5b7f7948dc39dad7c1 100644
--- a/python/paddle/fluid/tests/unittests/test_slice_op.py
+++ b/python/paddle/fluid/tests/unittests/test_slice_op.py
@@ -852,6 +852,27 @@ class TestInferShape(unittest.TestCase):
                 paddle.slice(x, 0, starts, ends)
 
 
+class TestSliceOpError(unittest.TestCase):
+    def test_dismatch_shape(self):
+        with fluid.dygraph.guard():
+            with self.assertRaises(ValueError):
+                array = np.array([], dtype=np.float32)
+                x = paddle.to_tensor(np.reshape(array, [0]), dtype='float32')
+                paddle.slice(x, axes=[0], starts=[], ends=[])
+
+            with self.assertRaises(ValueError):
+                array = np.array([], dtype=np.float32)
+                x = paddle.to_tensor(np.reshape(array, [0]), dtype='float32')
+                paddle.slice(x, axes=[0], starts=[0], ends=[])
+
+            # if shape match, pass
+            array = np.array([], dtype=np.float32)
+            x = paddle.to_tensor(np.reshape(array, [0]), dtype='float32')
+            out = paddle.slice(x, axes=[0], starts=[0], ends=[0])
+            self.assertEqual(out.numel(), 0)
+            # self.assertEqual(out.shape)
+
+
 @unittest.skipIf(
     not core.is_compiled_with_cuda(), "core is not compiled with CUDA"
 )