# 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 time import unittest import numpy as np import paddle.nn.functional as F from paddle import base from paddle.base import core def get_random_images_and_labels(image_shape, label_shape): image = np.random.random(size=image_shape).astype('float32') label = np.random.random(size=label_shape).astype('int64') return image, label class TestDygraphDataLoaderWithException(unittest.TestCase): def setUp(self): self.batch_size = 8 self.batch_num = 4 self.epoch_num = 1 self.capacity = 5 def test_not_capacity(self): with ( base.dygraph.guard(), self.assertRaisesRegex( ValueError, "Please give value to capacity." ), ): base.io.DataLoader.from_generator() def test_single_process_with_thread_exception(self): def error_sample_generator(batch_num): def __reader__(): for _ in range(batch_num): yield [[[1, 2], [1]]] return __reader__ with base.dygraph.guard(): loader = base.io.DataLoader.from_generator( capacity=self.capacity, iterable=False, use_multiprocess=False ) loader.set_batch_generator( error_sample_generator(self.batch_num), places=base.CPUPlace() ) exception = None try: for _ in loader(): print("test_single_process_with_thread_exception") except core.EnforceNotMet as ex: self.assertIn("Blocking queue is killed", str(ex)) exception = ex self.assertIsNotNone(exception) def test_multi_process_with_process_exception(self): def error_sample_generator(batch_num): def __reader__(): for _ in range(batch_num): yield [[[1, 2], [1]]] return __reader__ with base.dygraph.guard(): loader = base.io.DataLoader.from_generator( capacity=self.capacity, use_multiprocess=True ) loader.set_batch_generator( error_sample_generator(self.batch_num), places=base.CPUPlace() ) exception = None try: for _ in loader(): print("test_multi_process_with_thread_exception") except core.EnforceNotMet as ex: exception = ex self.assertIsNotNone(exception) def test_multi_process_with_get_timeout(self): def slow_batch_generator_creator(batch_size, batch_num): def __reader__(): for _ in range(batch_num): time.sleep(80) batch_image, batch_label = get_random_images_and_labels( [batch_size, 784], [batch_size, 1] ) yield batch_image, batch_label return __reader__ with base.dygraph.guard(): loader = base.io.DataLoader.from_generator( capacity=self.capacity, use_multiprocess=True ) loader.set_batch_generator( slow_batch_generator_creator(self.batch_size, self.batch_num), places=base.CPUPlace(), ) exception = None try: for _ in range(self.epoch_num): for image, _ in loader(): F.relu(image) except core.EnforceNotMet as ex: self.assertIn("Blocking queue is killed", str(ex)) exception = ex self.assertIsNotNone(exception) if __name__ == '__main__': unittest.main()