revert erf; test=develop

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

@@ -21,13 +21,13 @@ from op_test import OpTest
 import paddle
 import paddle.fluid.core as core
 
+paddle.enable_static()
 np.random.seed(0)
 
 
 class TestErfinv(OpTest):
     def setUp(self):
         self.op_type = "erfinv"
-        self.python_api = paddle.erfinv
         self.init_dtype()
         self.shape = [11, 17]
         self.x = np.random.uniform(-1, 1, size=self.shape).astype(self.dtype)
@@ -42,15 +42,14 @@ class TestErfinv(OpTest):
         self.dtype = np.float64
 
     def test_check_output(self):
-        self.check_output(check_eager=False)
+        self.check_output()
 
     def test_check_grad(self):
         self.check_grad(
             ['X'],
             'Out',
             user_defined_grads=[self.gradient],
-            user_defined_grad_outputs=self.grad_out,
-            check_eager=False)
+            user_defined_grad_outputs=self.grad_out)
 
 
 class TestErfinvFP32(TestErfinv):
@@ -109,5 +108,4 @@ class TestErfinvAPI(unittest.TestCase):
 
 
 if __name__ == "__main__":
-    paddle.enable_static()
     unittest.main()

python/paddle/tensor/math.py

@@ -3440,8 +3440,6 @@ def erfinv(x, name=None):
     check_variable_and_dtype(x, 'x', ['float32', 'float64'], 'erfinv')
 
     if paddle.in_dynamic_mode():
-        if _in_eager_mode():
-            return _C_ops.final_state_erfinv( x )
         return _C_ops.erfinv(x)
 
     helper = LayerHelper('erfinv', **locals())