fix function-redefined 1

python/paddle/fluid/contrib/slim/tests/test_quantization_pass.py

@@ -678,7 +678,7 @@ class TestAddQuantDequantPass(unittest.TestCase):
         self.residual_block_quant(
             quantizable_op_type, skip_pattern='skip_quant', for_ci=True)
 
-    def test_residual_block_skip_pattern(self):
+    def test_residual_block_skip_pattern_1(self):
         quantizable_op_type = ['elementwise_add', 'pool2d', 'mul', 'matmul']
         self.residual_block_quant(
             quantizable_op_type,

python/paddle/fluid/tests/unittests/dygraph_to_static/test_for_enumerate.py

@@ -406,7 +406,7 @@ class TestForEnumerateVarNumpyWithBreak(TestForIterVarNumpy):
         self.dygraph_func = for_enumerate_var_numpy_with_break
 
 
-class TestForEnumerateVarNumpyWithBreak(TestForIterVarNumpy):
+class TestForEnumerateVarNumpyWithContinue(TestForIterVarNumpy):
     def set_test_func(self):
         self.dygraph_func = for_enumerate_var_numpy_with_continue
 
@@ -416,7 +416,7 @@ class TestForEnumerateVarNumpyWithStartAndBreak(TestForIterVarNumpy):
         self.dygraph_func = for_enumerate_var_numpy_with_start_break
 
 
-class TestForEnumerateVarNumpyWithStartAndBreak(TestForIterVarNumpy):
+class TestForEnumerateVarNumpyWithStartAndContinue(TestForIterVarNumpy):
     def set_test_func(self):
         self.dygraph_func = for_enumerate_var_numpy_with_start_continue
 

python/paddle/fluid/tests/unittests/npu/test_dropout_op_npu.py

@@ -80,7 +80,7 @@ class TestDropoutOpInput1d(TestDropoutOp):
         }
 
 
-class TestDropoutOpInput1d(TestDropoutOp):
+class TestDropoutOpInput1d_1(TestDropoutOp):
     # the input is 1-D
     def setUp(self):
         self.op_type = "dropout"

python/paddle/fluid/tests/unittests/sequence/test_sequence_reverse.py

@@ -73,7 +73,7 @@ class TestSequenceReverse3(TestSequenceReverseBase):
         self.lod = [3, 0, 6, 3]
 
 
-class TestSequenceReverse3(TestSequenceReverseBase):
+class TestSequenceReverse4(TestSequenceReverseBase):
     def initParameters(self):
         self.size = (12, 10)
         self.lod = [0, 2, 10, 0]

python/paddle/fluid/tests/unittests/test_conv2d_fusion_op.py

@@ -167,7 +167,7 @@ class TestIdentityActivation(TestConv2DFusionOp):
         self.activation = 'identity'
 
 
-class TestIdentityActivation(TestConv2DFusionOp):
+class TestIdentityActivation1(TestConv2DFusionOp):
     def init_activation(self):
         self.activation = 'identity'
         self.add_residual_data = False

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

@@ -52,7 +52,7 @@ class TestConvDoubleGradCheck(unittest.TestCase):
             self.func(p)
 
 
-class TestConvDoubleGradCheck(unittest.TestCase):
+class TestConvDoubleGradCheckTest0(unittest.TestCase):
     @prog_scope()
     def func(self, place):
         shape = [2, 4, 3, 3]

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

@@ -50,26 +50,6 @@ class TestDistGeoClipByGlobalNorm(TestFleetBase):
         self._sync_mode = False
         self._grad_clip_mode = 2
 
-    def check_with_place(self,
-                         model_file,
-                         delta=1e-3,
-                         check_error_log=False,
-                         need_envs={}):
-        required_envs = {
-            "PATH": os.getenv("PATH", ""),
-            "PYTHONPATH": os.getenv("PYTHONPATH", ""),
-            "LD_LIBRARY_PATH": os.getenv("LD_LIBRARY_PATH", ""),
-            "FLAGS_rpc_deadline": "5000",  # 5sec to fail fast
-            "http_proxy": ""
-        }
-        required_envs.update(need_envs)
-
-        tr0_losses, tr1_losses = self._run_cluster(model_file, required_envs)
-
-    def test_dist_train(self):
-        self.check_with_place(
-            "dist_fleet_ctr.py", delta=1e-5, check_error_log=True)
-
 
 class TestDistASyncClipByValue(TestFleetBase):
     def _setup_config(self):

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

@@ -149,10 +149,10 @@ class API_TestTensorEye(unittest.TestCase):
 
             self.assertRaises(TypeError, test_num_columns_type_check)
 
-            def test_num_columns_type_check():
+            def test_num_columns_type_check1():
                 paddle.eye(10, num_columns=10, dtype="int8")
 
-            self.assertRaises(TypeError, test_num_columns_type_check)
+            self.assertRaises(TypeError, test_num_columns_type_check1)
 
 
 if __name__ == "__main__":

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

@@ -77,40 +77,6 @@ class TestFleetRecomputeMetaOptimizer(TestFleetMetaOptimizer):
         ]
         self.assertIn('subprog', ''.join(outs))
 
-    def test_recompute_optimizer_backward(self):
-        """ test recompute optimizer backward """
-        train_prog, startup_prog = fluid.Program(), fluid.Program()
-        avg_cost, strategy = self.net(train_prog, startup_prog)
-
-        self.set_strategy(strategy, 'recompute')
-        opt = fluid.optimizer.MomentumOptimizer(
-            learning_rate=0.001, momentum=0.9)
-        opt = RecomputeOptimizer(opt)
-        opt.user_defined_strategy = strategy
-        params_grads = opt.backward(avg_cost, startup_prog)
-
-        outs = [
-            op.output('Out')[0] for op in avg_cost.block.ops if op.type == 'mul'
-        ]
-        self.assertIn('subprog', ''.join(outs))
-
-    def test_recompute_optimizer_backward(self):
-        """ test recompute optimizer backward """
-        train_prog, startup_prog = fluid.Program(), fluid.Program()
-        avg_cost, strategy = self.net(train_prog, startup_prog)
-
-        self.set_strategy(strategy, 'recompute')
-        opt = fluid.optimizer.MomentumOptimizer(
-            learning_rate=0.001, momentum=0.9)
-        opt = RecomputeOptimizer(opt)
-        opt.user_defined_strategy = strategy
-        params_grads = opt.backward(avg_cost, startup_prog)
-
-        outs = [
-            op.output('Out')[0] for op in avg_cost.block.ops if op.type == 'mul'
-        ]
-        self.assertIn('subprog', ''.join(outs))
-
     def test_recompute_optimizer(self):
         train_prog, startup_prog = fluid.Program(), fluid.Program()
         avg_cost, strategy = self.net(train_prog, startup_prog)

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

@@ -275,10 +275,10 @@ class TestGathertError(unittest.TestCase):
 
             self.assertRaises(TypeError, test_axis_dtype)
 
-            def test_axis_dtype():
+            def test_axis_dtype1():
                 paddle.gather(x, index, axis=axis)
 
-            self.assertRaises(TypeError, test_axis_dtype)
+            self.assertRaises(TypeError, test_axis_dtype1)
 
     def test_error2(self):
         with fluid.program_guard(fluid.Program(), fluid.Program()):

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

@@ -76,7 +76,7 @@ def TestHuberLossOp2(TestHuberLossOp):
         return (6, 6)
 
 
-def TestHuberLossOp2(TestHuberLossOp):
+def TestHuberLossOp3(TestHuberLossOp):
     def set_shape(self):
         return (6, 6, 1)
 

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

@@ -165,7 +165,7 @@ class TestMeshgridOp7(unittest.TestCase):
             assert np.array_equal(res_4.shape, [100, 200])
 
 
-class TestMeshgridOp7(unittest.TestCase):
+class TestMeshgridOp8(unittest.TestCase):
     def test_api_with_dygraph_tuple_input(self):
         input_3 = np.random.randint(0, 100, [100, ]).astype('int32')
         input_4 = np.random.randint(0, 100, [200, ]).astype('int32')

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

@@ -52,7 +52,7 @@ class TestExportWithTensor(unittest.TestCase):
         paddle.onnx.export(model, 'linear_net', input_spec=[self.x_spec])
 
 
-class TestExportWithTensor(unittest.TestCase):
+class TestExportWithTensor1(unittest.TestCase):
     def setUp(self):
         self.x = paddle.to_tensor(np.random.random((1, 128)))
 

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

@@ -221,7 +221,7 @@ class TestGeneratorSeed(unittest.TestCase):
             self.assertTrue(np.allclose(x1_np, x2_np))
             self.assertTrue(np.allclose(x_np, x3_np))
 
-    def test_generator_uniform_random_static(self):
+    def test_generator_uniform_random_static_1(self):
         fluid.disable_dygraph()
 
         gen = paddle.seed(123123143)
@@ -255,7 +255,7 @@ class TestGeneratorSeed(unittest.TestCase):
                 self.assertTrue(np.allclose(out1_res2, out2_res2))
                 self.assertTrue(not np.allclose(out1_res2, out1_res1))
 
-    def test_generator_randint_dygraph(self):
+    def test_generator_randint_dygraph_1(self):
         """Test Generator seed."""
         fluid.enable_dygraph()
 
@@ -405,7 +405,7 @@ class TestGeneratorSeed(unittest.TestCase):
             self.assertTrue(np.allclose(x1_np, x2_np))
             self.assertTrue(np.allclose(x_np, x3_np))
 
-    def test_generator_randperm_static(self):
+    def test_generator_randperm_static_1(self):
 
         fluid.disable_dygraph()
 

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

@@ -294,7 +294,7 @@ class TestDygraph(unittest.TestCase):
             shape = [3, 5, 9, 10]
             output = paddle.scatter_nd(index, updates, shape)
 
-    def test_dygraph(self):
+    def test_dygraph_1(self):
         with fluid.dygraph.guard(fluid.CPUPlace()):
             x = paddle.rand(shape=[3, 5, 9, 10], dtype='float32')
             updates = paddle.rand(shape=[3, 9, 10], dtype='float32')

tools/codestyle/test_docstring_checker.py

@@ -38,7 +38,7 @@ class TestDocstring(pylint.testutils.CheckerTestCase):
         assert len(got) == 1
         assert 'W9001' == got[0][0]
 
-    def test_one_line(self):
+    def test_one_line_1(self):
         func_node = astroid.extract_node('''
         def test(): 
             """get news"""