diff --git a/python/paddle/base/variable_index.py b/python/paddle/base/variable_index.py
index f47afddde84f0a..87f9ba720abb63 100644
--- a/python/paddle/base/variable_index.py
+++ b/python/paddle/base/variable_index.py
@@ -218,6 +218,26 @@ def deal_advanced_index(ori_tensor, indices, is_for_setitem):
     )
 
 
+def slice_is_same_to_original(start, end, step):
+    if start is None and end is None and step is None:
+        return True
+
+    # If there is Variable, we cannot determine whether it is the same to original.
+    if isinstance(
+        start, (paddle.base.Variable, paddle.pir.Value, paddle.pir.OpResult)
+    ):
+        return False
+    if isinstance(
+        end, (paddle.base.Variable, paddle.pir.Value, paddle.pir.OpResult)
+    ):
+        return False
+    if isinstance(
+        step, (paddle.base.Variable, paddle.pir.Value, paddle.pir.OpResult)
+    ):
+        return False
+    return start == 0 and end == MAX_INTEGER and step == 1
+
+
 def parse_index(x, indices):
     advanced_index = [None] * 2 * len(x.shape)  # content is (dim, index)
     # for set_value / slice / strided_slice OP
@@ -282,9 +302,10 @@ def parse_index(x, indices):
             start = slice_item.start
             end = slice_item.stop
             step = slice_item.step
-            estimated_dim += 1
-            dim += 1
+
             if start is None and end is None and step is None:
+                estimated_dim += 1
+                dim += 1
                 continue
 
             step = 1 if step is None else step
@@ -293,6 +314,16 @@ def parse_index(x, indices):
             if end is None:
                 end = MAX_INTEGER if step > 0 else -1
 
+            if not (
+                is_tensor_array
+                or isinstance(end, (paddle.base.Variable, paddle.pir.Value))
+                or isinstance(step, (paddle.base.Variable, paddle.pir.Value))
+            ):
+                if x.shape[dim] != -1 and end >= x.shape[dim]:
+                    end = MAX_INTEGER if step > 0 else -1
+            estimated_dim += 1
+            dim += 1
+
         elif isinstance(slice_item, (list, tuple)):
             advanced_index[estimated_dim] = (
                 estimated_dim,
@@ -355,7 +386,7 @@ def parse_index(x, indices):
                     slice_item
                 )
             )
-        if not (start is None or end is None or step is None):
+        if not slice_is_same_to_original(start, end, step):
             starts.append(start)
             ends.append(end)
             steps.append(step)