merge activation operator python tests

python/paddle/v2/framework/tests/test_activation_op.py

@@ -0,0 +1,50 @@
+import unittest
+import numpy as np
+from op_test import OpTest
+
+
+class TestExp(OpTest):
+    def setUp(self):
+        self.op_type = "exp"
+        self.inputs = {
+            'X': np.random.uniform(0.1, 1, [11, 17]).astype("float32")
+        }
+        self.outputs = {'Y': np.exp(self.inputs['X'])}
+
+    def test_check_output(self):
+        self.check_output()
+
+    def test_check_grad(self):
+        self.check_grad(['X'], 'Y', max_relative_error=0.007)
+
+
+class TestRelu(OpTest):
+    def setUp(self):
+        self.op_type = "relu"
+        self.inputs = {'X': np.random.uniform(-1, 1, [4, 4]).astype("float32")}
+        self.outputs = {'Y': np.maximum(self.inputs['X'], 0)}
+
+    def test_check_output(self):
+        self.check_output()
+
+    def test_check_grad(self):
+        self.check_grad(['X'], 'Y', max_relative_error=0.007)
+
+
+class TestSigmoid(OpTest):
+    def setUp(self):
+        self.op_type = "sigmoid"
+        self.inputs = {
+            'X': np.random.uniform(0.1, 1, [11, 17]).astype("float32")
+        }
+        self.outputs = {'Y': 1 / (1 + np.exp(-self.inputs['X']))}
+
+    def test_check_output(self):
+        self.check_output()
+
+    def test_check_grad(self):
+        self.check_grad(['X'], 'Y', max_relative_error=0.007)
+
+
+if __name__ == "__main__":
+    unittest.main()

python/paddle/v2/framework/tests/test_exp_op.py

@@ -1,22 +0,0 @@
-import unittest
-import numpy as np
-from op_test import OpTest
-
-
-class TestExp(OpTest):
-    def setUp(self):
-        self.op_type = "exp"
-        self.inputs = {
-            'X': np.random.uniform(0.1, 1, [11, 17]).astype("float32")
-        }
-        self.outputs = {'Y': np.exp(self.inputs['X'])}
-
-    def test_check_output(self):
-        self.check_output()
-
-    def test_check_grad(self):
-        self.check_grad(['X'], 'Y', max_relative_error=0.007)
-
-
-if __name__ == "__main__":
-    unittest.main()

python/paddle/v2/framework/tests/test_relu_op.py

@@ -1,20 +0,0 @@
-import unittest
-import numpy as np
-from op_test import OpTest
-
-
-class TestRelu(OpTest):
-    def setUp(self):
-        self.op_type = "relu"
-        self.inputs = {'X': np.random.uniform(-1, 1, [4, 4]).astype("float32")}
-        self.outputs = {'Y': np.maximum(self.inputs['X'], 0)}
-
-    def test_check_output(self):
-        self.check_output()
-
-    def test_check_grad(self):
-        self.check_grad(['X'], 'Y', max_relative_error=0.007)
-
-
-if __name__ == "__main__":
-    unittest.main()

python/paddle/v2/framework/tests/test_sigmoid_op.py

@@ -1,22 +0,0 @@
-import unittest
-import numpy as np
-from op_test import OpTest
-
-
-class TestSigmoid(OpTest):
-    def setUp(self):
-        self.op_type = "sigmoid"
-        self.inputs = {
-            'X': np.random.uniform(0.1, 1, [11, 17]).astype("float32")
-        }
-        self.outputs = {'Y': 1 / (1 + np.exp(-self.inputs['X']))}
-
-    def test_check_output(self):
-        self.check_output()
-
-    def test_check_grad(self):
-        self.check_grad(['X'], 'Y', max_relative_error=0.007)
-
-
-if __name__ == "__main__":
-    unittest.main()