wehub-resource-sync
113 lines
3.5 KiB
Python
113 lines
3.5 KiB
Python
# Copyright (c) 2020 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 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.io import DataLoader, Dataset
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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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def 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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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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class RandomDataset(Dataset):
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def __init__(self, sample_num):
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self.sample_num = sample_num
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def __getitem__(self, idx):
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np.random.seed(idx)
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image = np.random.random([784]).astype('float32')
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label = np.random.randint(0, 9, (1,)).astype('int64')
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return image, label
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def __len__(self):
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return self.sample_num
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class TestDygraphDataLoaderMmapFdsClear(unittest.TestCase):
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def setUp(self):
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self.batch_size = 8
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self.batch_num = 100
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self.epoch_num = 2
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self.capacity = 50
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def prepare_data_loader(self):
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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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batch_generator_creator(self.batch_size, self.batch_num),
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places=base.CPUPlace(),
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)
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return loader
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def run_one_epoch_with_break(self, loader):
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for step_id, data in enumerate(loader()):
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image, label = data
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relu = F.relu(image)
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self.assertEqual(image.shape, [self.batch_size, 784])
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self.assertEqual(label.shape, [self.batch_size, 1])
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self.assertEqual(relu.shape, [self.batch_size, 784])
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if step_id == 30:
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break
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def test_data_loader_break(self):
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with base.dygraph.guard():
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loader = self.prepare_data_loader()
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for _ in range(self.epoch_num):
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self.run_one_epoch_with_break(loader)
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break
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def test_data_loader_continue_break(self):
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with base.dygraph.guard():
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loader = self.prepare_data_loader()
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for _ in range(self.epoch_num):
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self.run_one_epoch_with_break(loader)
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class TestMultiProcessDataLoaderMmapFdsClear(TestDygraphDataLoaderMmapFdsClear):
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def prepare_data_loader(self):
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place = base.CPUPlace()
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with base.dygraph.guard(place):
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dataset = RandomDataset(self.batch_size * self.batch_num)
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loader = DataLoader(
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dataset,
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places=place,
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batch_size=self.batch_size,
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drop_last=True,
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num_workers=2,
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)
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return loader
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if __name__ == '__main__':
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unittest.main()
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