rm _test_eager_guard (#48767)

python/paddle/tests/test_async_read_write.py

@@ -19,7 +19,6 @@ import numpy as np
 import paddle
 from paddle.device import cuda
 from paddle.fluid import core
-from paddle.fluid.framework import _in_legacy_dygraph, _test_eager_guard
 
 
 class TestAsyncRead(unittest.TestCase):
@@ -40,16 +39,6 @@ class TestAsyncRead(unittest.TestCase):
 
     def func_test_async_read_empty_offset_and_count(self):
         with cuda.stream_guard(self.stream):
-            if _in_legacy_dygraph():
-                core.async_read(
-                    self.src,
-                    self.dst,
-                    self.index,
-                    self.buffer,
-                    self.empty,
-                    self.empty,
-                )
-            else:
             core.eager.async_read(
                 self.src,
                 self.dst,
@@ -71,11 +60,6 @@ class TestAsyncRead(unittest.TestCase):
             np.array([5, 10], dtype="int64"), place=paddle.CPUPlace()
         )
         with cuda.stream_guard(self.stream):
-            if _in_legacy_dygraph():
-                core.async_read(
-                    self.src, self.dst, self.index, self.buffer, offset, count
-                )
-            else:
             core.eager.async_read(
                 self.src, self.dst, self.index, self.buffer, offset, count
             )
@@ -101,11 +85,6 @@ class TestAsyncRead(unittest.TestCase):
         dst = paddle.empty([40], dtype="float32")
         buffer_ = paddle.empty([20]).pin_memory()
         with cuda.stream_guard(self.stream):
-            if _in_legacy_dygraph():
-                core.async_read(
-                    src, dst, self.index, buffer_, self.empty, self.empty
-                )
-            else:
             core.eager.async_read(
                 src, dst, self.index, buffer_, self.empty, self.empty
             )
@@ -114,13 +93,6 @@ class TestAsyncRead(unittest.TestCase):
         np.testing.assert_allclose(array1.numpy(), array2.numpy(), rtol=1e-05)
 
     def test_main(self):
-        with _test_eager_guard():
-            self.func_setUp()
-            self.func_test_async_read_empty_offset_and_count()
-            self.func_setUp()
-            self.func_test_async_read_success()
-            self.func_setUp()
-            self.func_test_async_read_only_1dim()
         self.func_setUp()
         self.func_test_async_read_empty_offset_and_count()
         self.func_setUp()
@@ -145,9 +117,6 @@ class TestAsyncWrite(unittest.TestCase):
             np.array([40, 60], dtype="int64"), place=paddle.CPUPlace()
         )
         with cuda.stream_guard(self.stream):
-            if _in_legacy_dygraph():
-                core.async_write(self.src, self.dst, offset, count)
-            else:
             core.eager.async_write(self.src, self.dst, offset, count)
 
         offset_a = paddle.gather(self.dst, paddle.to_tensor(np.arange(0, 40)))
@@ -158,9 +127,6 @@ class TestAsyncWrite(unittest.TestCase):
         )
 
     def test_async_write_success(self):
-        with _test_eager_guard():
-            self.func_setUp()
-            self.func_test_async_write_success()
         self.func_setUp()
         self.func_test_async_write_success()
 

python/paddle/tests/test_callback_reduce_lr_on_plateau.py

@@ -17,7 +17,6 @@ import unittest
 import paddle
 import paddle.vision.transforms as T
 from paddle import Model
-from paddle.fluid.framework import _test_eager_guard
 from paddle.metric import Accuracy
 from paddle.nn.layer.loss import CrossEntropyLoss
 from paddle.static import InputSpec
@@ -32,7 +31,7 @@ class CustomMnist(MNIST):
 
 
 class TestReduceLROnPlateau(unittest.TestCase):
-    def func_reduce_lr_on_plateau(self):
+    def test_reduce_lr_on_plateau(self):
         transform = T.Compose([T.Transpose(), T.Normalize([127.5], [127.5])])
         train_dataset = CustomMnist(mode='train', transform=transform)
         val_dataset = CustomMnist(mode='test', transform=transform)
@@ -57,12 +56,7 @@ class TestReduceLROnPlateau(unittest.TestCase):
             callbacks=[callbacks],
         )
 
-    def test_reduce_lr_on_plateau(self):
-        with _test_eager_guard():
-            self.func_reduce_lr_on_plateau()
-        self.func_reduce_lr_on_plateau()
-
-    def func_warn_or_error(self):
+    def test_warn_or_error(self):
         with self.assertRaises(ValueError):
             paddle.callbacks.ReduceLROnPlateau(factor=2.0)
         # warning
@@ -113,11 +107,6 @@ class TestReduceLROnPlateau(unittest.TestCase):
             callbacks=[callbacks],
         )
 
-    def test_warn_or_error(self):
-        with _test_eager_guard():
-            self.func_warn_or_error()
-        self.func_warn_or_error()
-
 
 if __name__ == '__main__':
     unittest.main()

python/paddle/tests/test_callback_visualdl.py

@@ -18,7 +18,6 @@ import unittest
 
 import paddle
 import paddle.vision.transforms as T
-from paddle.fluid.framework import _test_eager_guard
 from paddle.static import InputSpec
 from paddle.vision.datasets import MNIST
 
@@ -35,7 +34,7 @@ class TestCallbacks(unittest.TestCase):
     def tearDown(self):
         shutil.rmtree(self.save_dir)
 
-    def func_visualdl_callback(self):
+    def test_visualdl_callback(self):
         inputs = [InputSpec([-1, 1, 28, 28], 'float32', 'image')]
         labels = [InputSpec([None, 1], 'int64', 'label')]
 
@@ -58,11 +57,6 @@ class TestCallbacks(unittest.TestCase):
             train_dataset, eval_dataset, batch_size=64, callbacks=callback
         )
 
-    def test_visualdl_callback(self):
-        with _test_eager_guard():
-            self.func_visualdl_callback()
-        self.func_visualdl_callback()
-
 
 if __name__ == '__main__':
     unittest.main()

python/paddle/tests/test_datasets.py

@@ -22,7 +22,6 @@ import numpy as np
 
 import paddle.vision.transforms as T
 from paddle.dataset.common import _check_exists_and_download
-from paddle.fluid.framework import _test_eager_guard
 from paddle.vision.datasets import (
     MNIST,
     DatasetFolder,
@@ -47,7 +46,7 @@ class TestFolderDatasets(unittest.TestCase):
     def tearDown(self):
         shutil.rmtree(self.data_dir)
 
-    def func_test_dataset(self):
+    def test_dataset(self):
         dataset_folder = DatasetFolder(self.data_dir)
 
         for _ in dataset_folder:
@@ -60,12 +59,7 @@ class TestFolderDatasets(unittest.TestCase):
         for _ in dataset_folder:
             pass
 
-    def test_dataset(self):
-        with _test_eager_guard():
-            self.func_test_dataset()
-        self.func_test_dataset()
-
-    def func_test_folder(self):
+    def test_folder(self):
         loader = ImageFolder(self.data_dir)
 
         for _ in loader:
@@ -77,12 +71,7 @@ class TestFolderDatasets(unittest.TestCase):
 
         assert len(loader) == 4
 
-    def test_folder(self):
-        with _test_eager_guard():
-            self.func_test_folder()
-        self.func_test_folder()
-
-    def func_test_transform(self):
+    def test_transform(self):
         def fake_transform(img):
             return img
 
@@ -96,12 +85,7 @@ class TestFolderDatasets(unittest.TestCase):
         for _ in loader:
             pass
 
-    def test_transform(self):
-        with _test_eager_guard():
-            self.func_test_transform()
-        self.func_test_transform()
-
-    def func_test_errors(self):
+    def test_errors(self):
         with self.assertRaises(RuntimeError):
             ImageFolder(self.empty_dir)
         with self.assertRaises(RuntimeError):
@@ -110,14 +94,9 @@ class TestFolderDatasets(unittest.TestCase):
         with self.assertRaises(ValueError):
             _check_exists_and_download('temp_paddle', None, None, None, False)
 
-    def test_errors(self):
-        with _test_eager_guard():
-            self.func_test_errors()
-        self.func_test_errors()
-
 
 class TestMNISTTest(unittest.TestCase):
-    def func_test_main(self):
+    def test_main(self):
         transform = T.Transpose()
         mnist = MNIST(mode='test', transform=transform)
         self.assertTrue(len(mnist) == 10000)
@@ -130,14 +109,9 @@ class TestMNISTTest(unittest.TestCase):
         self.assertTrue(label.shape[0] == 1)
         self.assertTrue(0 <= int(label) <= 9)
 
-    def test_main(self):
-        with _test_eager_guard():
-            self.func_test_main()
-        self.func_test_main()
-
 
 class TestMNISTTrain(unittest.TestCase):
-    def func_test_main(self):
+    def test_main(self):
         transform = T.Transpose()
         mnist = MNIST(mode='train', transform=transform)
         self.assertTrue(len(mnist) == 60000)
@@ -166,14 +140,9 @@ class TestMNISTTrain(unittest.TestCase):
         with self.assertRaises(ValueError):
             mnist = MNIST(mode='train', transform=transform, backend=1)
 
-    def test_main(self):
-        with _test_eager_guard():
-            self.func_test_main()
-        self.func_test_main()
-
 
 class TestFASHIONMNISTTest(unittest.TestCase):
-    def func_test_main(self):
+    def test_main(self):
         transform = T.Transpose()
         mnist = FashionMNIST(mode='test', transform=transform)
         self.assertTrue(len(mnist) == 10000)
@@ -186,14 +155,9 @@ class TestFASHIONMNISTTest(unittest.TestCase):
         self.assertTrue(label.shape[0] == 1)
         self.assertTrue(0 <= int(label) <= 9)
 
-    def test_main(self):
-        with _test_eager_guard():
-            self.func_test_main()
-        self.func_test_main()
-
 
 class TestFASHIONMNISTTrain(unittest.TestCase):
-    def func_test_main(self):
+    def test_main(self):
         transform = T.Transpose()
         mnist = FashionMNIST(mode='train', transform=transform)
         self.assertTrue(len(mnist) == 60000)
@@ -222,26 +186,16 @@ class TestFASHIONMNISTTrain(unittest.TestCase):
         with self.assertRaises(ValueError):
             mnist = FashionMNIST(mode='train', transform=transform, backend=1)
 
-    def test_main(self):
-        with _test_eager_guard():
-            self.func_test_main()
-        self.func_test_main()
-
-    def func_test_dataset_value(self):
+    def test_dataset_value(self):
         fmnist = FashionMNIST(mode='train')
         value = np.mean([np.array(x[0]) for x in fmnist])
 
         # 72.94035223214286 was getted from competitive products
         np.testing.assert_allclose(value, 72.94035223214286)
 
-    def test_dataset_value(self):
-        with _test_eager_guard():
-            self.func_test_dataset_value()
-        self.func_test_dataset_value()
-
 
 class TestFlowersTrain(unittest.TestCase):
-    def func_test_main(self):
+    def test_main(self):
         flowers = Flowers(mode='train')
         self.assertTrue(len(flowers) == 6149)
 
@@ -254,14 +208,9 @@ class TestFlowersTrain(unittest.TestCase):
         self.assertTrue(image.shape[2] == 3)
         self.assertTrue(label.shape[0] == 1)
 
-    def test_main(self):
-        with _test_eager_guard():
-            self.func_test_main()
-        self.func_test_main()
-
 
 class TestFlowersValid(unittest.TestCase):
-    def func_test_main(self):
+    def test_main(self):
         flowers = Flowers(mode='valid')
         self.assertTrue(len(flowers) == 1020)
 
@@ -274,14 +223,9 @@ class TestFlowersValid(unittest.TestCase):
         self.assertTrue(image.shape[2] == 3)
         self.assertTrue(label.shape[0] == 1)
 
-    def test_main(self):
-        with _test_eager_guard():
-            self.func_test_main()
-        self.func_test_main()
-
 
 class TestFlowersTest(unittest.TestCase):
-    def func_test_main(self):
+    def test_main(self):
         flowers = Flowers(mode='test')
         self.assertTrue(len(flowers) == 1020)
 
@@ -310,11 +254,6 @@ class TestFlowersTest(unittest.TestCase):
         with self.assertRaises(ValueError):
             flowers = Flowers(mode='test', backend=1)
 
-    def test_main(self):
-        with _test_eager_guard():
-            self.func_test_main()
-        self.func_test_main()
-
 
 if __name__ == '__main__':
     unittest.main()

python/paddle/tests/test_dlpack.py

@@ -19,11 +19,10 @@ import numpy as np
 import paddle
 import paddle.fluid as fluid
 import paddle.fluid.core as core
-from paddle.fluid.framework import _test_eager_guard
 
 
 class TestDLPack(unittest.TestCase):
-    def func_test_dlpack_dygraph(self):
+    def test_dlpack_dygraph(self):
         paddle.disable_static()
         tensor = paddle.to_tensor(np.array([1, 2, 3, 4]).astype('int'))
         dlpack = paddle.utils.dlpack.to_dlpack(tensor)
@@ -38,12 +37,7 @@ class TestDLPack(unittest.TestCase):
             np.array(out_from_dlpack), np.array([1, 2, 3, 4]).astype('int')
         )
 
-    def test_dlpack_dygraph(self):
-        with _test_eager_guard():
-            self.func_test_dlpack_dygraph()
-        self.func_test_dlpack_dygraph()
-
-    def func_test_dlpack_tensor_larger_than_2dim(self):
+    def test_dlpack_tensor_larger_than_2dim(self):
         paddle.disable_static()
         numpy_data = np.random.randn(4, 5, 6)
         t = paddle.to_tensor(numpy_data)
@@ -52,11 +46,6 @@ class TestDLPack(unittest.TestCase):
         out = paddle.utils.dlpack.from_dlpack(dlpack)
         np.testing.assert_allclose(numpy_data, out.numpy(), rtol=1e-05)
 
-    def test_dlpack_tensor_larger_than_2dim(self):
-        with _test_eager_guard():
-            self.func_test_dlpack_tensor_larger_than_2dim()
-        self.func_test_dlpack_tensor_larger_than_2dim()
-
     def test_dlpack_static(self):
         paddle.enable_static()
         tensor = fluid.create_lod_tensor(
@@ -87,7 +76,7 @@ class TestDLPack(unittest.TestCase):
                 np.array([[1], [2], [3], [4]]).astype('int'),
             )
 
-    def func_test_dlpack_dtype_conversion(self):
+    def test_dlpack_dtype_conversion(self):
         paddle.disable_static()
         # DLpack does not explicitly support bool data type.
         dtypes = [
@@ -119,11 +108,6 @@ class TestDLPack(unittest.TestCase):
             self.assertEqual(x.dtype, o.dtype)
             np.testing.assert_allclose(x.numpy(), o.numpy(), rtol=1e-05)
 
-    def test_dlpack_dtype_conversion(self):
-        with _test_eager_guard():
-            self.func_test_dlpack_dtype_conversion()
-        self.func_test_dlpack_dtype_conversion()
-
     def test_dlpack_deletion(self):
         # See Paddle issue 47171
         if paddle.is_compiled_with_cuda():
@@ -134,23 +118,13 @@ class TestDLPack(unittest.TestCase):
 
 
 class TestRaiseError(unittest.TestCase):
-    def func_test_from_dlpack_raise_type_error(self):
+    def test_from_dlpack_raise_type_error(self):
         self.assertRaises(
             TypeError, paddle.utils.dlpack.from_dlpack, np.zeros(5)
         )
 
-    def test_from_dlpack_raise_type_error(self):
-        with _test_eager_guard():
-            self.func_test_from_dlpack_raise_type_error()
-        self.func_test_from_dlpack_raise_type_error()
-
-    def func_test_to_dlpack_raise_type_error(self):
-        self.assertRaises(TypeError, paddle.utils.dlpack.to_dlpack, np.zeros(5))
-
     def test_to_dlpack_raise_type_error(self):
-        with _test_eager_guard():
-            self.func_test_to_dlpack_raise_type_error()
-        self.func_test_to_dlpack_raise_type_error()
+        self.assertRaises(TypeError, paddle.utils.dlpack.to_dlpack, np.zeros(5))
 
 
 if __name__ == '__main__':