Revert "fix dygraph and input shape"

This reverts commit 89ad8664.

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

python/paddle/fluid/layers/nn.py

@@ -5831,7 +5831,6 @@ 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):
     """
 

python/paddle/nn/functional/input.py

@@ -40,7 +40,7 @@ def one_hot(x, num_classes, name=None):
         Example 1:
 
         input:
-            x.shape = [4]
+            x.shape = [4, 1]
             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]
+            x.shape = [4, 1]
             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}