wehub-resource-sync
124 lines
4.0 KiB
Python
124 lines
4.0 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 sys
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import unittest
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from op_test import get_device, is_custom_device
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import paddle
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from paddle.io import Dataset
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from paddle.vision import transforms
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class TestDatasetAbstract(unittest.TestCase):
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def test_main(self):
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dataset = Dataset()
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try:
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d = dataset[0]
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self.assertTrue(False)
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except NotImplementedError:
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pass
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try:
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l = len(dataset)
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self.assertTrue(False)
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except NotImplementedError:
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pass
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class TestDatasetWithDiffOutputPlace(unittest.TestCase):
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def get_dataloader(self, num_workers):
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dataset = paddle.vision.datasets.MNIST(
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mode='test',
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transform=transforms.Compose(
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[
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transforms.CenterCrop(20),
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transforms.RandomResizedCrop(14),
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transforms.Normalize(),
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transforms.ToTensor(),
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]
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),
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)
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loader = paddle.io.DataLoader(
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dataset, batch_size=32, num_workers=num_workers, shuffle=True
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)
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return loader
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def run_check_on_cpu(self):
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paddle.set_device('cpu')
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loader = self.get_dataloader(1)
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for image, label in loader:
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self.assertTrue(image.place.is_cpu_place())
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self.assertTrue(label.place.is_cpu_place())
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break
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def test_single_process(self):
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self.run_check_on_cpu()
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if paddle.is_compiled_with_cuda() or is_custom_device():
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# Get (image, label) tuple from MNIST dataset
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# - the image is on CUDAPlace, label is on CPUPlace
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paddle.set_device(get_device())
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loader = self.get_dataloader(0)
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for image, label in loader:
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self.assertTrue(image.place.is_gpu_place())
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self.assertTrue(label.place.is_cuda_pinned_place())
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break
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def test_multi_process(self):
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# DataLoader with multi-process mode is not supported on MacOs and Windows currently
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if sys.platform != 'darwin' and sys.platform != 'win32':
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self.run_check_on_cpu()
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if paddle.is_compiled_with_cuda() or is_custom_device():
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# Get (image, label) tuple from MNIST dataset
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# - the image and label are on CPUPlace
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paddle.set_device(get_device())
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loader = self.get_dataloader(1)
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for image, label in loader:
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self.assertTrue(image.place.is_cuda_pinned_place())
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self.assertTrue(label.place.is_cuda_pinned_place())
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break
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class TestRandomSplitApi(unittest.TestCase):
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def test_main(self):
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paddle.seed(1)
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dataset1, dataset2, dataset3 = paddle.io.random_split(
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range(5), [0.3, 0.0, 0.7]
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)
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self.assertTrue(len(dataset1) == 2)
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self.assertTrue(len(dataset2) == 0)
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self.assertTrue(len(dataset3) == 3)
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elements_list = list(range(5))
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for _, val in enumerate(dataset1):
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elements_list.remove(val)
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for _, val in enumerate(dataset3):
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elements_list.remove(val)
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self.assertTrue(len(elements_list) == 0)
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def test_errors(self):
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paddle.seed(1)
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self.assertRaises(
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ValueError, paddle.io.random_split, range(5), [-0.2, 1.2]
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)
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if __name__ == '__main__':
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unittest.main()
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