wehub-resource-sync
104 lines
3.6 KiB
Python
104 lines
3.6 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 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.reader import use_pinned_memory
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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 sample_generator_creator(batch_size, batch_num):
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def __reader__():
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for _ in range(batch_num * batch_size):
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image, label = get_random_images_and_labels([784], [1])
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yield image, label
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return __reader__
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class TestDygraphDataLoader(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 iter_loader_data(self, loader):
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for _ in range(self.epoch_num):
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for image, label in loader():
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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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def test_single_process_loader(self):
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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_sample_generator(
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sample_generator_creator(self.batch_size, self.batch_num),
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batch_size=self.batch_size,
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places=base.CPUPlace(),
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)
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self.iter_loader_data(loader)
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def test_multi_process_loader(self):
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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_sample_generator(
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sample_generator_creator(self.batch_size, self.batch_num),
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batch_size=self.batch_size,
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places=base.CPUPlace(),
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)
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self.iter_loader_data(loader)
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def test_generator_no_places(self):
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with base.dygraph.guard():
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loader = base.io.DataLoader.from_generator(capacity=self.capacity)
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loader.set_sample_generator(
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sample_generator_creator(self.batch_size, self.batch_num),
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batch_size=self.batch_size,
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)
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self.iter_loader_data(loader)
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def test_set_pin_memory(self):
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with base.dygraph.guard():
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use_pinned_memory(False)
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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_sample_generator(
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sample_generator_creator(self.batch_size, self.batch_num),
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batch_size=self.batch_size,
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places=base.CPUPlace(),
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)
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self.iter_loader_data(loader)
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use_pinned_memory(True)
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if __name__ == '__main__':
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unittest.main()
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