[CodeStyle][F811] fix some test cases shadowed by the same name (#48745)

* [CodeStyle][F811] fix some unittests

* fix setup.py

* remove ignore from flake8 config

* remove repeat TestAbsDoubleGradCheck

* fix rrelu test

* fix fft ut

* add noqa in fluid.lstm ut

* add rtol and atol in test_matmul_v2_op

* update rtol

* empty commit

* empty commit

* revert changes in matmul ut and add noqa

* rename test case name

.flake8

@@ -37,9 +37,3 @@ per-file-ignores =
     .cmake-format.py: F821
     python/paddle/fluid/tests/unittests/dygraph_to_static/test_loop.py: F821
     python/paddle/fluid/tests/unittests/dygraph_to_static/test_closure_analysis.py: F821
-    # These files will be fixed in the future
-    python/paddle/fluid/tests/unittests/fft/test_fft_with_static_graph.py: F811
-    python/paddle/fluid/tests/unittests/test_activation_nn_grad.py: F811
-    python/paddle/fluid/tests/unittests/test_lstm_cudnn_op.py: F811
-    python/paddle/fluid/tests/unittests/test_matmul_v2_op.py: F811
-    python/paddle/fluid/tests/unittests/test_rrelu_op.py: F811

python/paddle/fluid/tests/unittests/collective/fleet/test_dygraph_group_sharded_api_for_eager.py

@@ -28,7 +28,7 @@ class TestDygraphGroupSharded(TestMultipleGpus):
         self.run_mnist_2gpu('dygraph_group_sharded_api_eager.py')
 
     # check stage3 for some functions.
-    def test_dygraph_group_sharded(self):
+    def test_dygraph_group_sharded_stage3(self):
         self.run_mnist_2gpu('dygraph_group_sharded_stage3_eager.py')
 
 

python/paddle/fluid/tests/unittests/fft/test_fft_with_static_graph.py

@@ -266,14 +266,6 @@ class TestFftn(unittest.TestCase):
 @parameterize(
     (TEST_CASE_NAME, 'x', 'n', 'axis', 'norm', 'expect_exception'),
     [
-        (
-            'test_x_complex',
-            rand_x(4, complex=True),
-            None,
-            None,
-            'backward',
-            TypeError,
-        ),
         (
             'test_n_nagative',
             rand_x(4),
@@ -295,11 +287,11 @@ class TestFftn(unittest.TestCase):
         ('test_norm_not_in_enum', rand_x(2), None, -1, 'random', ValueError),
     ],
 )
-class TestRfftnException(unittest.TestCase):
-    def test_static_rfftn(self):
+class TestFftnException(unittest.TestCase):
+    def test_static_fftn(self):
         with self.assertRaises(self.expect_exception):
             with stgraph(
-                paddle.fft.rfftn,
+                paddle.fft.fftn,
                 self.place,
                 self.x,
                 self.n,

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

@@ -407,36 +407,6 @@ class TestSquareDoubleGradCheck(unittest.TestCase):
             self.func(p)
 
 
-class TestAbsDoubleGradCheck(unittest.TestCase):
-    @prog_scope()
-    def func(self, place):
-        # the shape of input variable should be clearly specified, not inlcude -1.
-        shape = [2, 3, 7, 9]
-        eps = 1e-6
-        dtype = np.float64
-
-        x = layers.data('x', shape, False, dtype)
-        x.persistable = True
-        y = paddle.abs(x)
-        x_arr = np.random.uniform(-1, 1, shape).astype(dtype)
-        # Because we set delta = 0.005 in calculating numeric gradient,
-        # if x is too small, the numeric gradient is inaccurate.
-        # we should avoid this
-        x_arr[np.abs(x_arr) < 0.005] = 0.02
-
-        gradient_checker.double_grad_check(
-            [x], y, x_init=x_arr, place=place, eps=eps
-        )
-
-    def test_grad(self):
-        paddle.enable_static()
-        places = [fluid.CPUPlace()]
-        if core.is_compiled_with_cuda():
-            places.append(fluid.CUDAPlace(0))
-        for p in places:
-            self.func(p)
-
-
 class TestLogDoubleGradCheck(unittest.TestCase):
     def log_wrapper(self, x):
         return paddle.log(x[0])

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

@@ -584,7 +584,7 @@ class TestCUDNNlstmAPI(unittest.TestCase):
 @unittest.skipIf(
     not core.is_compiled_with_cuda(), "core is not compiled with CUDA"
 )
-class TestCUDNNlstmAPI(unittest.TestCase):
+class TestCUDNNlstmAPI(unittest.TestCase):  # noqa: F811
     def test_lstm(self):
         seq_len = 20
         batch_size = 5

python/paddle/fluid/tests/unittests/test_matmul_v2_op.py

@@ -732,7 +732,7 @@ class TestMatmulop(unittest.TestCase):
 
         paddle.enable_static()
 
-    def func_dygraph_matmul(self):
+    def func_dygraph_matmul(self):  # noqa: F811
         with _test_eager_guard():
             self.func_dygraph_matmul()
 

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

@@ -317,9 +317,9 @@ class RReluTest(OpTest):
         self.lower = 0.1
         self.upper = 0.3
         self.is_test = True
-        self.init_prams()
+        self.init_params()
 
-    def init_prams(self):
+    def init_params(self):
         self.dtype = "float64"
         self.x_shape = [2, 3, 4, 5]
 
@@ -343,22 +343,13 @@ class RReluTest(OpTest):
         self.check_grad(['X'], 'Out')
 
 
-class RReluTrainingTest(OpTest):
+class RReluTrainingTest(RReluTest):
     def setUp(self):
         self.op_type = "rrelu"
         self.lower = 0.3
-        self.upper = 0.3000009
+        self.upper = 0.300000009
         self.is_test = False
-        self.init_prams()
-
-
-class RReluTrainingTest(OpTest):
-    def setUp(self):
-        self.op_type = "rrelu"
-        self.lower = 0.3
-        self.upper = 0.3000009
-        self.is_test = False
-        self.init_prams()
+        self.init_params()
 
 
 if __name__ == "__main__":

setup.py

@@ -30,7 +30,6 @@ from setuptools import Command, Extension, setup
 from setuptools.command.egg_info import egg_info
 from setuptools.command.install import install as InstallCommandBase
 from setuptools.command.install_lib import install_lib
-from setuptools.dist import Distribution
 
 if sys.version_info < (3, 7):
     raise RuntimeError(