From e519a1fc82e51f6a2f77e37f9c0ed99aa8b8ddca Mon Sep 17 00:00:00 2001
From: chengjuntao <18222160892@163.com>
Date: Mon, 6 Jan 2020 10:02:27 +0800
Subject: [PATCH] add bigger shape test example for elementwise_pow OP (#22063)

---
 .../unittests/test_elementwise_pow_op.py      | 20 +++++++++++++++++++
 1 file changed, 20 insertions(+)

diff --git a/python/paddle/fluid/tests/unittests/test_elementwise_pow_op.py b/python/paddle/fluid/tests/unittests/test_elementwise_pow_op.py
index 81c34073b9f..169404a5f76 100644
--- a/python/paddle/fluid/tests/unittests/test_elementwise_pow_op.py
+++ b/python/paddle/fluid/tests/unittests/test_elementwise_pow_op.py
@@ -35,6 +35,26 @@ class TestElementwisePowOp(OpTest):
         self.check_grad(['X', 'Y'], 'Out')
 
 
+class TestElementwisePowOp_big_shape_1(TestElementwisePowOp):
+    def setUp(self):
+        self.op_type = "elementwise_pow"
+        self.inputs = {
+            'X': np.random.uniform(0.1, 1, [100, 100]).astype("float64"),
+            'Y': np.random.uniform(0.1, 1, [100, 100]).astype("float64")
+        }
+        self.outputs = {'Out': np.power(self.inputs['X'], self.inputs['Y'])}
+
+
+class TestElementwisePowOp_big_shape_2(TestElementwisePowOp):
+    def setUp(self):
+        self.op_type = "elementwise_pow"
+        self.inputs = {
+            'X': np.random.uniform(0.1, 1, [100, 100]).astype("float64"),
+            'Y': np.random.uniform(0.1, 1, [100, 100]).astype("float64") * 20
+        }
+        self.outputs = {'Out': np.power(self.inputs['X'], self.inputs['Y'])}
+
+
 class TestElementwisePowOp_scalar(TestElementwisePowOp):
     def setUp(self):
         self.op_type = "elementwise_pow"
-- 
GitLab