Rewirte test based on python test frameworks

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

@@ -1,33 +1,15 @@
 import unittest
-import paddle.v2.framework.create_op_creation_methods as creation
-import paddle.v2.framework.core as core
+from op_test_util import OpTestMeta
 import numpy
 
 
 class TestFillZerosLikeOp(unittest.TestCase):
-    def test_fill(self):
-        scope = core.Scope()
-        a = scope.create_var("input")
-        a_tensor = a.get_tensor()
-        a_tensor.set_dims([546, 291])
-        a_tensor.alloc_float()
-        a_tensor.set(numpy.random.random((546, 291)).astype("float32"))
+    __metaclass__ = OpTestMeta
 
-        op = creation.op_creations.fill_zeros_like(Src="input", Dst="output")
-
-        for out in op.outputs():
-            if scope.get_var(out) is None:
-                scope.create_var(out).get_tensor()
-
-        b_tensor = scope.get_var("output").get_tensor()
-        op.infer_shape(scope)
-        self.assertEqual([546, 291], b_tensor.shape())
-        ctx = core.DeviceContext.cpu_context()
-        op.run(scope, ctx)
-        b_tensor_array = numpy.array(b_tensor)
-        for r in range(0, 546):
-            for c in range(0, 291):
-                self.assertEqual(b_tensor_array[r][c], 0.0)
+    def setUp(self):
+        self.type = "fill_zeros_like"
+        self.Src = numpy.random.random((219, 232)).astype("float32")
+        self.Dst = numpy.zeros_like(self.Src)
 
 
 if __name__ == '__main__':