Try to fix data loader test failed problem (#22622)

* split unittests in data loader test, test=release/1.7

* split unittests to different files, test=release/1.7

* remove repeat unittest, test=release/1.7

Author: chenwhql

python/paddle/fluid/tests/unittests/CMakeLists.txt

@@ -195,6 +195,7 @@ if (APPLE OR WIN32)
   list(REMOVE_ITEM TEST_OPS test_dataset)
   list(REMOVE_ITEM TEST_OPS test_dataset_dataloader)
   list(REMOVE_ITEM TEST_OPS test_imperative_data_loader)
+  list(REMOVE_ITEM TEST_OPS test_imperative_data_loader_exception)
   list(REMOVE_ITEM TEST_OPS test_imperative_data_loader_process)
   list(REMOVE_ITEM TEST_OPS test_imperative_signal_handler)
 endif()

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

@@ -17,7 +17,6 @@
 import numpy as np
 import paddle.fluid as fluid
 from paddle.fluid import core
-import paddle.compat as cpt
 
 
 def get_random_images_and_labels(image_shape, label_shape):
@@ -35,19 +34,6 @@ def __reader__():
     return __reader__
 
 
-def sample_list_generator_creator(batch_size, batch_num):
-    def __reader__():
-        for _ in range(batch_num):
-            sample_list = []
-            for _ in range(batch_size):
-                image, label = get_random_images_and_labels([784], [1])
-                sample_list.append([image, label])
-
-            yield sample_list
-
-    return __reader__
-
-
 def batch_generator_creator(batch_size, batch_num):
     def __reader__():
         for _ in range(batch_num):
@@ -62,8 +48,8 @@ class TestDygraphhDataLoader(unittest.TestCase):
     def setUp(self):
         self.batch_size = 8
         self.batch_num = 4
-        self.epoch_num = 2
-        self.capacity = 2
+        self.epoch_num = 1
+        self.capacity = 5
 
     def test_single_process_reader(self):
         with fluid.dygraph.guard():
@@ -95,20 +81,6 @@ def test_sample_genarator(self):
                     self.assertEqual(label.shape, [self.batch_size, 1])
                     self.assertEqual(relu.shape, [self.batch_size, 784])
 
-    def test_sample_list_generator(self):
-        with fluid.dygraph.guard():
-            loader = fluid.io.DataLoader.from_generator(
-                capacity=self.capacity, use_multiprocess=True)
-            loader.set_sample_list_generator(
-                sample_list_generator_creator(self.batch_size, self.batch_num),
-                places=fluid.CPUPlace())
-            for _ in range(self.epoch_num):
-                for image, label in loader():
-                    relu = fluid.layers.relu(image)
-                    self.assertEqual(image.shape, [self.batch_size, 784])
-                    self.assertEqual(label.shape, [self.batch_size, 1])
-                    self.assertEqual(relu.shape, [self.batch_size, 784])
-
     def test_batch_genarator(self):
         with fluid.dygraph.guard():
             loader = fluid.io.DataLoader.from_generator(
@@ -124,63 +96,5 @@ def test_batch_genarator(self):
                     self.assertEqual(relu.shape, [self.batch_size, 784])
 
 
-class TestDygraphhDataLoaderWithException(unittest.TestCase):
-    def setUp(self):
-        self.batch_num = 4
-        self.capacity = 2
-
-    def test_not_capacity(self):
-        with fluid.dygraph.guard():
-            with self.assertRaisesRegexp(ValueError,
-                                         "Please give value to capacity."):
-                fluid.io.DataLoader.from_generator()
-
-    def test_single_process_with_thread_expection(self):
-        def error_sample_genarator(batch_num):
-            def __reader__():
-                for _ in range(batch_num):
-                    yield [[[1, 2], [1]]]
-
-            return __reader__
-
-        with fluid.dygraph.guard():
-            loader = fluid.io.DataLoader.from_generator(
-                capacity=self.capacity, iterable=False, use_multiprocess=False)
-            loader.set_batch_generator(
-                error_sample_genarator(self.batch_num), places=fluid.CPUPlace())
-            exception = None
-            try:
-                for _ in loader():
-                    print("test_single_process_with_thread_expection")
-            except core.EnforceNotMet as ex:
-                self.assertIn("Blocking queue is killed",
-                              cpt.get_exception_message(ex))
-                exception = ex
-            self.assertIsNotNone(exception)
-
-    def test_multi_process_with_thread_expection(self):
-        def error_sample_genarator(batch_num):
-            def __reader__():
-                for _ in range(batch_num):
-                    yield [[[1, 2], [1]]]
-
-            return __reader__
-
-        with fluid.dygraph.guard():
-            loader = fluid.io.DataLoader.from_generator(
-                capacity=self.capacity, use_multiprocess=True)
-            loader.set_batch_generator(
-                error_sample_genarator(self.batch_num), places=fluid.CPUPlace())
-            exception = None
-            try:
-                for _ in loader():
-                    print("test_multi_process_with_thread_expection")
-            except core.EnforceNotMet as ex:
-                self.assertIn("Blocking queue is killed",
-                              cpt.get_exception_message(ex))
-                exception = ex
-            self.assertIsNotNone(exception)
-
-
 if __name__ == '__main__':
     unittest.main()

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

@@ -0,0 +1,82 @@
+# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import sys
+import unittest
+import numpy as np
+import paddle.fluid as fluid
+from paddle.fluid import core
+import paddle.compat as cpt
+
+
+class TestDygraphhDataLoaderWithException(unittest.TestCase):
+    def setUp(self):
+        self.batch_num = 4
+        self.capacity = 2
+
+    def test_not_capacity(self):
+        with fluid.dygraph.guard():
+            with self.assertRaisesRegexp(ValueError,
+                                         "Please give value to capacity."):
+                fluid.io.DataLoader.from_generator()
+
+    def test_single_process_with_thread_expection(self):
+        def error_sample_genarator(batch_num):
+            def __reader__():
+                for _ in range(batch_num):
+                    yield [[[1, 2], [1]]]
+
+            return __reader__
+
+        with fluid.dygraph.guard():
+            loader = fluid.io.DataLoader.from_generator(
+                capacity=self.capacity, iterable=False, use_multiprocess=False)
+            loader.set_batch_generator(
+                error_sample_genarator(self.batch_num), places=fluid.CPUPlace())
+            exception = None
+            try:
+                for _ in loader():
+                    print("test_single_process_with_thread_expection")
+            except core.EnforceNotMet as ex:
+                self.assertIn("Blocking queue is killed",
+                              cpt.get_exception_message(ex))
+                exception = ex
+            self.assertIsNotNone(exception)
+
+    def test_multi_process_with_thread_expection(self):
+        def error_sample_genarator(batch_num):
+            def __reader__():
+                for _ in range(batch_num):
+                    yield [[[1, 2], [1]]]
+
+            return __reader__
+
+        with fluid.dygraph.guard():
+            loader = fluid.io.DataLoader.from_generator(
+                capacity=self.capacity, use_multiprocess=True)
+            loader.set_batch_generator(
+                error_sample_genarator(self.batch_num), places=fluid.CPUPlace())
+            exception = None
+            try:
+                for _ in loader():
+                    print("test_multi_process_with_thread_expection")
+            except core.EnforceNotMet as ex:
+                self.assertIn("Blocking queue is killed",
+                              cpt.get_exception_message(ex))
+                exception = ex
+            self.assertIsNotNone(exception)
+
+
+if __name__ == '__main__':
+    unittest.main()