From 23381dd16a6800a4e73a4bc36c0b1013a30e520d Mon Sep 17 00:00:00 2001
From: wanghaoshuang <wanghaoshuang@baidu.com>
Date: Wed, 13 Sep 2017 12:16:52 +0800
Subject: [PATCH] Update pad op  unitest

---
 .../paddle/v2/framework/tests/test_pad_op.py  | 60 +++----------------
 1 file changed, 9 insertions(+), 51 deletions(-)

diff --git a/python/paddle/v2/framework/tests/test_pad_op.py b/python/paddle/v2/framework/tests/test_pad_op.py
index 56b9c88f7df..456b765e331 100644
--- a/python/paddle/v2/framework/tests/test_pad_op.py
+++ b/python/paddle/v2/framework/tests/test_pad_op.py
@@ -1,16 +1,12 @@
 import unittest
 import numpy as np
-from paddle.v2.framework.op import Operator
-from gradient_checker import GradientChecker, create_op
-from op_test_util import OpTestMeta
+from op_test import OpTest
 
 
-class TestPadOp(unittest.TestCase):
-    __metaclass__ = OpTestMeta
-
+class TestPadOp(OpTest):
     def setUp(self):
         self.initTestCase()
-        self.type = "pad"
+        self.op_type = "pad"
         self.inputs = {'X': np.random.random(self.shape).astype("float32"), }
         self.attrs = {}
         self.attrs['paddings'] = np.array(self.paddings).flatten()
@@ -22,6 +18,12 @@ class TestPadOp(unittest.TestCase):
                           constant_values=self.pad_value)
         }
 
+    def test_check_output(self):
+        self.check_output()
+
+    def test_check_grad_normal(self):
+        self.check_grad(['X'], 'Out')
+
     def initTestCase(self):
         self.shape = (16, 16)
         self.paddings = [(0, 1), (2, 3)]
@@ -49,49 +51,5 @@ class TestCase3(TestPadOp):
         self.pad_value = 0.9
 
 
-class TestPadGradOp(GradientChecker):
-    def setUp(self):
-        self.initTestCase()
-        self.op = Operator(
-            type="pad",
-            X="X",
-            Out="Out",
-            paddings=np.array(self.paddings).flatten(),
-            pad_value=self.pad_value)
-        self.inputs = {'X': np.random.random(self.shape).astype("float32"), }
-
-    def initTestCase(self):
-        self.shape = (16, 16)
-        self.paddings = [(0, 1), (2, 3)]
-        self.pad_value = 0
-
-    def test_normal(self):
-        self.check_grad(self.op, self.inputs, set(["X"]), "Out")
-
-    def test_cpu_gpu_compare(self):
-        self.compare_grad(self.op, self.inputs)
-
-
-class TestiGradCase1(TestPadOp):
-    def initTestCase(self):
-        self.shape = (2, 3, 4, 4)
-        self.paddings = [(0, 1), (2, 3), (2, 1), (1, 1)]
-        self.pad_value = 0.5
-
-
-class TestGradCase2(TestPadOp):
-    def initTestCase(self):
-        self.shape = (2, 2, 2)
-        self.paddings = [(0, 0), (0, 0), (1, 2)]
-        self.pad_value = 1
-
-
-class TestGradCase3(TestPadOp):
-    def initTestCase(self):
-        self.shape = (8)
-        self.paddings = [(0, 1)]
-        self.pad_value = 0.9
-
-
 if __name__ == '__main__':
     unittest.main()
-- 
GitLab