Modify test layers, test=develop

python/paddle/fluid/layers/nn.py

@@ -9341,8 +9341,8 @@ def shuffle_channel(x, group=1, name=None):
     with multiple group convolutional layers.
     
     Args: 
-        x: The input tensor variable..
+        x(Variable): The input tensor variable.
-        group: The num of group
+        group(Integer): The num of group.
 
     Returns:
         Variable: channels shuffled tensor variable.
@@ -9358,8 +9358,7 @@ def shuffle_channel(x, group=1, name=None):
     """
     helper = LayerHelper("shuffle_channel", **locals())
 
-    out = helper.create_variable_for_type_inference(
+    out = helper.create_variable_for_type_inference(dtype=x.dtype)
-        dtype=helper.input_dtype('X'))
 
     if not isinstance(group, int):
         raise TypeError("group must be int type")

python/paddle/fluid/tests/unittests/test_layers.py

@@ -1018,8 +1018,8 @@ class TestBook(unittest.TestCase):
     def test_shuffle_channel(self):
         program = Program()
         with program_guard(program):
-            x = layers.data(name="X", shape=[10, 16, 4, 4], dtype="float32")
+            x = layers.data(name="X", shape=[16, 4, 4], dtype="float32")
-            out = layers.shuffle_channel(x, group=2)
+            out = layers.shuffle_channel(x, group=4)
             self.assertIsNotNone(out)
         print(str(program))