Fix the scale fp16 dtype support for scale op, delete the fp16 test caseraise for scale

Fix the scale fp16 dtype support for scale op, and delete the test case for fp16 case

python/paddle/fluid/layers/nn.py

@@ -10713,10 +10713,6 @@ def scale(x, scale=1.0, bias=0.0, bias_after_scale=True, act=None, name=None):
 
     """
 
-    check_variable_and_dtype(
-        x, "x",
-        ['float32', 'float64', 'uint8', 'int16', 'int32', 'in64', 'uint8'],
-        "scale")
     if in_dygraph_mode():
         _scale = scale.numpy().item(0) if isinstance(scale, Variable) else scale
         out = core.ops.scale(x, 'scale',
@@ -10724,6 +10720,10 @@ def scale(x, scale=1.0, bias=0.0, bias_after_scale=True, act=None, name=None):
                              float(bias), 'bias_after_scale', bias_after_scale)
         return dygraph_utils._append_activation_in_dygraph(out)
 
+    check_variable_and_dtype(x, "x", [
+        'float16', 'float32', 'float64', 'int8', 'int16', 'int32', 'int64',
+        'uint8'
+    ], "scale")
     inputs = {'X': [x]}
     attrs = {
         'bias': float(bias),

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

@@ -131,12 +131,6 @@ class TestScaleRaiseError(unittest.TestCase):
 
         self.assertRaises(TypeError, test_type)
 
-        def test_dtype():
-            data = fluid.data(shape=[10], dtype="float16", name="input")
-            fluid.layers.scale(data)
-
-        self.assertRaises(TypeError, test_dtype)
-
 
 # Add FP16 test
 @unittest.skipIf(not core.is_compiled_with_cuda(),