rm eager guard tests part3_1 (#49059)

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

@@ -24,7 +24,6 @@ import paddle.fluid as fluid
 import paddle.fluid.core as core
 import paddle.fluid.layers as layers
 from paddle.fluid import Program, program_guard
-from paddle.fluid.framework import _test_eager_guard
 
 
 class TestCastOpFp32ToFp64(OpTest):
@@ -122,7 +121,6 @@ class TestCastOpError(unittest.TestCase):
 class TestCastOpEager(unittest.TestCase):
     def test_eager(self):
         with paddle.fluid.dygraph.base.guard():
-            with _test_eager_guard():
             x = paddle.ones([2, 2], dtype="float16")
             x.stop_gradient = False
             out = paddle.cast(x, "float32")

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

@@ -20,7 +20,6 @@ from op_test import OpTest
 import paddle
 import paddle.fluid as fluid
 from paddle.fluid import Program, program_guard
-from paddle.fluid.framework import _test_eager_guard
 
 
 class TestClipOp(OpTest):
@@ -231,7 +230,7 @@ class TestClipAPI(unittest.TestCase):
         )
         paddle.disable_static()
 
-    def func_clip_dygraph(self):
+    def test_clip_dygraph(self):
         paddle.disable_static()
         place = (
             fluid.CUDAPlace(0)
@@ -279,14 +278,8 @@ class TestClipAPI(unittest.TestCase):
             out_6.numpy(), data.clip(0.2, 0.8), rtol=1e-05
         )
 
-    def test_clip_dygraph(self):
-        with _test_eager_guard():
-            self.func_clip_dygraph()
-        self.func_clip_dygraph()
-
     def test_clip_dygraph_default_max(self):
         paddle.disable_static()
-        with _test_eager_guard():
         x_int32 = paddle.to_tensor([1, 2, 3], dtype="int32")
         x_int64 = paddle.to_tensor([1, 2, 3], dtype="int64")
         x_f32 = paddle.to_tensor([1, 2, 3], dtype="float32")

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

@@ -19,7 +19,6 @@ from op_test import OpTest
 
 import paddle
 import paddle.fluid.dygraph as dg
-from paddle.fluid.framework import _test_eager_guard
 
 
 class TestComplexAbsOp(OpTest):
@@ -109,10 +108,6 @@ class TestAbs(unittest.TestCase):
                     y = paddle.abs(paddle.to_tensor(x))
                     np.testing.assert_allclose(np.abs(x), y.numpy(), rtol=1e-05)
 
-    def test_eager(self):
-        with _test_eager_guard():
-            self.test_all_positive()
-
 
 class TestRealAbsOp(OpTest):
     def setUp(self):

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

@@ -17,7 +17,6 @@ import unittest
 import numpy as np
 
 import paddle
-from paddle.fluid.framework import _test_eager_guard
 
 
 class TestComplexCastOp(unittest.TestCase):
@@ -80,12 +79,6 @@ class TestComplexCastOp(unittest.TestCase):
             c_128.cast('complex128').numpy(), c_64.numpy(), rtol=1e-05
         )
 
-    def test_eager(self):
-        with _test_eager_guard():
-            self.test_complex64_complex128()
-            self.test_real_to_complex()
-            self.test_complex_to_real()
-
 
 if __name__ == '__main__':
     unittest.main()

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

@@ -20,7 +20,6 @@ from numpy.random import random as rand
 import paddle
 import paddle.fluid as fluid
 import paddle.fluid.dygraph as dg
-from paddle.fluid.framework import _test_eager_guard
 
 paddle_apis = {
     "add": paddle.add,
@@ -112,12 +111,6 @@ class TestComplexElementwiseLayers(unittest.TestCase):
             self.compare_by_basic_api(x, y)
             self.compare_op_by_basic_api(x, y)
 
-    def test_eager(self):
-        with _test_eager_guard():
-            self.test_real_x_complex_y()
-            self.test_complex_x_real_y()
-            self.test_complex_xy()
-
 
 if __name__ == '__main__':
     unittest.main()

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

@@ -18,7 +18,6 @@ import numpy as np
 
 import paddle.fluid as fluid
 import paddle.fluid.dygraph as dg
-from paddle.fluid.framework import _test_eager_guard
 
 
 class TestComplexGetitemLayer(unittest.TestCase):
@@ -95,15 +94,6 @@ class TestComplexGetitemLayer(unittest.TestCase):
 
             np.testing.assert_allclose(x_var_slice.numpy(), x_np_slice)
 
-    def test_eager(self):
-        with _test_eager_guard():
-            self.test_case1()
-            self.test_case2()
-            self.test_case3()
-            self.test_case4()
-            self.test_case5()
-            self.test_case6()
-
 
 if __name__ == '__main__':
     unittest.main()