fix function-redefined

python/paddle/fluid/dataloader/dataloader_iter.py

@@ -391,16 +391,6 @@ class _DataLoaderIterMultiProcess(_DataLoaderIterBase):
         for _ in range(self._outstanding_capacity):
             self._try_put_indices()
 
-    def _clear_and_remove_data_queue(self):
-        if self._data_queue is not None:
-            while True:
-                try:
-                    self._data_queue.get_nowait()
-                except:
-                    self._data_queue.cancel_join_thread()
-                    self._data_queue.close()
-                    break
-
     def _shutdown_worker(self, worker_id, shutdown=False):
         if self._worker_status[worker_id] or (self._persistent_workers and
                                               shutdown):

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

@@ -219,7 +219,7 @@ class NetWithDictPop(paddle.nn.Layer):
         return x
 
 
-class TestDictPop(TestNetWithDict):
+class TestDictPop3(TestNetWithDict):
     def setUp(self):
         self.x = np.array([2, 2]).astype('float32')
 

python/paddle/fluid/tests/unittests/mkldnn/test_activation_mkldnn_op.py

@@ -117,9 +117,6 @@ class TestMKLDNNSwishDim2(TestSwish):
     def init_dtype(self):
         self.dtype = np.float32
 
-    def init_dtype(self):
-        self.dtype = np.float32
-
 
 class TestMKLDNNHardSwishDim2(TestHardSwish):
     def setUp(self):

python/paddle/fluid/tests/unittests/mkldnn/test_pool2d_mkldnn_op.py

@@ -122,9 +122,6 @@ class TestAsymPad(TestPool2D_Op):
     def init_kernel_type(self):
         self.use_mkldnn = True
 
-    def init_global_pool(self):
-        self.global_pool = False
-
     def init_data_type(self):
         self.dtype = np.float32
 

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

@@ -79,7 +79,7 @@ class TestSequenceUnpadOp4(TestSequenceUnpadOp):
         self.dtype = "float64"
 
 
-class TestSequenceUnpadOp4(TestSequenceUnpadOp):
+class TestSequenceUnpadOp5(TestSequenceUnpadOp):
     def init(self):
         self.length = [0, 4, 3, 0]
         self.x_shape = (4, 5, 3, 3, 6)

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

@@ -436,7 +436,7 @@ class TestArgsortImperative3(TestArgsortImperative):
         self.axis = 1
 
 
-class TestArgsortImperative2(TestArgsortImperative):
+class TestArgsortImperative4(TestArgsortImperative):
     def init(self):
         self.input_shape = [2, 3, 4]
         self.axis = 1

python/paddle/fluid/tests/unittests/test_bicubic_interp_v2_op.py

@@ -484,7 +484,7 @@ class TestBicubicOpError(unittest.TestCase):
                     align_corners=False,
                     scale_factor=[1, 2, 2])
 
-            def test_scale_value():
+            def test_scale_value_1():
                 x = fluid.data(name="x", shape=[2, 3, 6, 6], dtype="float32")
                 out = interpolate(
                     x,

python/paddle/fluid/tests/unittests/test_flatten2_op.py

@@ -46,7 +46,7 @@ class TestFlattenOp(OpTest):
         self.attrs = {"axis": self.axis}
 
 
-class TestFlattenOp(TestFlattenOp):
+class TestFlattenOp_V1(TestFlattenOp):
     def init_test_case(self):
         self.in_shape = (3, 2, 5, 4)
         self.axis = 0

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

@@ -43,7 +43,7 @@ class TestFlattenOp(OpTest):
         self.attrs = {"axis": self.axis}
 
 
-class TestFlattenOp(TestFlattenOp):
+class TestFlattenOp_V1(TestFlattenOp):
     def init_test_case(self):
         self.in_shape = (3, 2, 2, 10)
         self.axis = 0

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

@@ -209,7 +209,7 @@ class TestFleetGraphExecutionMetaOptimizer(unittest.TestCase):
         proc_b.start()
         wait([proc_a, proc_b])
 
-    def test_graph_execution_optimizer(self):
+    def test_graph_execution_optimizer_v2(self):
         port_a = self._dist_ut_port_0 + 6
         port_b = self._dist_ut_port_1 + 6
         node_a = {

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

@@ -292,7 +292,7 @@ class TestFleetShardingMetaOptimizer(TestFleetMetaOptimizer):
         ])
 
 
-class TestFleetMetaOptimizer(TestFleetMetaOptimizer):
+class TestFleetMetaOptimizer_V1(TestFleetMetaOptimizer):
     def setUp(self):
         os.environ["PADDLE_TRAINER_ID"] = "3"
         os.environ[

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

@@ -375,18 +375,6 @@ class TestImperativeAutoPrune(unittest.TestCase):
             self.assertTrue(case3.linear2.weight._grad_ivar() is None)
             self.assertTrue(case3.linear.weight._grad_ivar() is not None)
 
-    def test_case2_prune_no_grad_branch(self):
-        with fluid.dygraph.guard():
-            value1 = np.arange(784).reshape(1, 784)
-            value2 = np.arange(1).reshape(1, 1)
-            v1 = fluid.dygraph.to_variable(value1).astype("float32")
-            v2 = fluid.dygraph.to_variable(value2).astype("float32")
-            case3 = AutoPruneLayer2(input_size=784)
-            loss = case3(v1, v2)
-            loss.backward()
-            self.assertTrue(case3.linear2.weight._grad_ivar() is None)
-            self.assertTrue(case3.linear.weight._grad_ivar() is not None)
-
     def test_case3_prune_no_grad_branch2(self):
         with fluid.dygraph.guard():
             value1 = np.arange(1).reshape(1, 1)

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

@@ -143,10 +143,10 @@ class TestLinspaceOpError(unittest.TestCase):
 
             self.assertRaises(TypeError, test_start_type)
 
-            def test_end_dtype():
+            def test_end_type():
                 fluid.layers.linspace(0, [10], 1, dtype="float32")
 
-            self.assertRaises(TypeError, test_end_dtype)
+            self.assertRaises(TypeError, test_end_type)
 
             def test_step_dtype():
                 fluid.layers.linspace(0, 10, [0], dtype="float32")

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

@@ -27,7 +27,7 @@ class TestHybridPipeParallel(TestMultipleGpus):
     def test_hybrid_parallel_pp_tuple_inputs(self):
         self.run_mnist_2gpu('hybrid_parallel_pp_embedding.py')
 
-    def test_hybrid_parallel_pp_tuple_inputs(self):
+    def test_hybrid_parallel_shared_weight(self):
         self.run_mnist_2gpu('hybrid_parallel_shared_weight.py')
 
     def test_pipeline_parallel(self):