diff --git a/python/paddle/fluid/input.py b/python/paddle/fluid/input.py
index 347927509e6d539555bd4d1b7a594febbc68f57b..733c0d952617ee12fb45d5bde2de118c76944384 100644
--- a/python/paddle/fluid/input.py
+++ b/python/paddle/fluid/input.py
@@ -20,7 +20,7 @@ from .data_feeder import check_variable_and_dtype, check_dtype
 
 __all__ = ['one_hot', 'embedding']
 
-
+@deprecated(since='2.0.0', update_to='paddle.functional.one_hot')
 def one_hot(input, depth, allow_out_of_range=False):
     """
     :alias_main: paddle.nn.functional.one_hot
diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py
index 1b8df4a098ff1c11270854976d82693932627477..d417f2e5a58dcce3d9425db9dd88fc5c9378a6e4 100644
--- a/python/paddle/fluid/layers/nn.py
+++ b/python/paddle/fluid/layers/nn.py
@@ -5831,6 +5831,7 @@ def smooth_l1(x, y, inside_weight=None, outside_weight=None, sigma=None):
     return loss
 
 
+@deprecated(since='2.0.0', update_to='paddle.functional.one_hot')
 def one_hot(input, depth, allow_out_of_range=False):
     """
 
diff --git a/python/paddle/nn/functional/input.py b/python/paddle/nn/functional/input.py
index 50d208073c380f24b568087d63535292cd576dcd..e3262d1fdca2faf14722abee181f0f60606ca702 100644
--- a/python/paddle/nn/functional/input.py
+++ b/python/paddle/nn/functional/input.py
@@ -40,7 +40,7 @@ def one_hot(x, num_classes, name=None):
         Example 1:
 
         input:
-            x.shape = [4, 1]
+            x.shape = [4]
             x.data = [1, 1, 3, 0]
             num_classes = 4
 
@@ -54,7 +54,7 @@ def one_hot(x, num_classes, name=None):
         Example 2:
 
         input:
-            x.shape = [4, 1]
+            x.shape = [4]
             x.data = [1, 1, 5, 0]
             num_classes = 4
 
@@ -80,15 +80,15 @@ def one_hot(x, num_classes, name=None):
             label = fluid.data(name="label", shape=[4, 1], dtype="int64")
             one_hot_label = fluid.one_hot(x=label, num_classes=4)
     """
-    check_variable_and_dtype(x, 'input', ['int32', 'int64'], 'one_hot_v2')
-    helper = LayerHelper("one_hot_v2", **locals())
-
-    one_hot_out = helper.create_variable_for_type_inference(dtype='float32')
 
     if in_dygraph_mode():
         return core.ops.one_hot_v2(x, 'depth', num_classes,
                                    'allow_out_of_range', False)
     else:
+        check_variable_and_dtype(x, 'input', ['int32', 'int64'], 'one_hot_v2')
+        helper = LayerHelper("one_hot_v2", **locals())
+
+        one_hot_out = helper.create_variable_for_type_inference(dtype='float32')
         if not isinstance(num_classes, Variable):
             # user attribute 
             inputs = {'X': x}