wehub-resource-sync
127 lines
4.3 KiB
Python
127 lines
4.3 KiB
Python
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import time
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import unittest
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import numpy as np
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import paddle.nn.functional as F
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from paddle import base
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from paddle.base import core
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def get_random_images_and_labels(image_shape, label_shape):
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image = np.random.random(size=image_shape).astype('float32')
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label = np.random.random(size=label_shape).astype('int64')
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return image, label
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class TestDygraphDataLoaderWithException(unittest.TestCase):
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def setUp(self):
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self.batch_size = 8
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self.batch_num = 4
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self.epoch_num = 1
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self.capacity = 5
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def test_not_capacity(self):
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with (
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base.dygraph.guard(),
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self.assertRaisesRegex(
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ValueError, "Please give value to capacity."
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),
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):
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base.io.DataLoader.from_generator()
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def test_single_process_with_thread_exception(self):
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def error_sample_generator(batch_num):
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def __reader__():
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for _ in range(batch_num):
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yield [[[1, 2], [1]]]
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return __reader__
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with base.dygraph.guard():
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loader = base.io.DataLoader.from_generator(
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capacity=self.capacity, iterable=False, use_multiprocess=False
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)
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loader.set_batch_generator(
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error_sample_generator(self.batch_num), places=base.CPUPlace()
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)
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exception = None
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try:
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for _ in loader():
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print("test_single_process_with_thread_exception")
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except core.EnforceNotMet as ex:
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self.assertIn("Blocking queue is killed", str(ex))
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exception = ex
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self.assertIsNotNone(exception)
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def test_multi_process_with_process_exception(self):
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def error_sample_generator(batch_num):
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def __reader__():
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for _ in range(batch_num):
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yield [[[1, 2], [1]]]
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return __reader__
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with base.dygraph.guard():
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loader = base.io.DataLoader.from_generator(
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capacity=self.capacity, use_multiprocess=True
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)
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loader.set_batch_generator(
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error_sample_generator(self.batch_num), places=base.CPUPlace()
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)
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exception = None
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try:
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for _ in loader():
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print("test_multi_process_with_thread_exception")
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except core.EnforceNotMet as ex:
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exception = ex
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self.assertIsNotNone(exception)
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def test_multi_process_with_get_timeout(self):
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def slow_batch_generator_creator(batch_size, batch_num):
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def __reader__():
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for _ in range(batch_num):
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time.sleep(80)
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batch_image, batch_label = get_random_images_and_labels(
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[batch_size, 784], [batch_size, 1]
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)
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yield batch_image, batch_label
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return __reader__
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with base.dygraph.guard():
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loader = base.io.DataLoader.from_generator(
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capacity=self.capacity, use_multiprocess=True
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)
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loader.set_batch_generator(
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slow_batch_generator_creator(self.batch_size, self.batch_num),
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places=base.CPUPlace(),
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)
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exception = None
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try:
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for _ in range(self.epoch_num):
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for image, _ in loader():
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F.relu(image)
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except core.EnforceNotMet as ex:
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self.assertIn("Blocking queue is killed", str(ex))
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exception = ex
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self.assertIsNotNone(exception)
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if __name__ == '__main__':
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unittest.main()
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