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100 lines
3.4 KiB
100 lines
3.4 KiB
# 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 paddle.fluid as fluid
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import unittest
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import numpy as np
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class TestPyReaderCombination(unittest.TestCase):
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def setUp(self):
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self.n1 = 10
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self.n2 = 20
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self.batch_size = 2
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def create_reader(self, batch_num):
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def __impl__():
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for _ in range(batch_num):
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image = np.random.uniform(
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low=-1, high=1, size=[batch_num, 784]).astype('float32')
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label = np.random.random_integers(
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low=0, high=9, size=[batch_num, 1]).astype('int64')
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yield image, label
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return __impl__
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def assertFeedVarEqual(self, reader_list_data, py_reader_dict_data):
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image1 = reader_list_data[0]
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label1 = reader_list_data[1]
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image2 = np.array(py_reader_dict_data[0]['image'])
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label2 = np.array(py_reader_dict_data[0]['label'])
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self.assertTrue(np.array_equal(image1, image2))
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self.assertTrue(np.array_equal(label1, label2))
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def main_impl(self, place):
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with fluid.program_guard(fluid.Program(), fluid.Program()):
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image = fluid.layers.data(
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name='image', dtype='float32', shape=[784])
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label = fluid.layers.data(name='label', dtype='int64', shape=[1])
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py_reader1 = fluid.io.PyReader(
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feed_list=[image, label], capacity=16, iterable=True)
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py_reader2 = fluid.io.PyReader(
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feed_list=[image, label], capacity=16, iterable=True)
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reader1 = fluid.io.cache(self.create_reader(self.n1))
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reader2 = fluid.io.cache(self.create_reader(self.n2))
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py_reader1.decorate_batch_generator(reader1, places=place)
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py_reader2.decorate_batch_generator(reader2, places=place)
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for _ in range(10):
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max_num = min(self.n1, self.n2)
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batch_num = 0
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for reader_np1, py_reader_dict1, reader_np2, py_reader_dict2 in zip(
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reader1(), py_reader1(), reader2(), py_reader2()):
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self.assertFeedVarEqual(reader_np1, py_reader_dict1)
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self.assertFeedVarEqual(reader_np2, py_reader_dict2)
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batch_num += 1
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self.assertEqual(batch_num, max_num)
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def get_places(self):
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if fluid.is_compiled_with_cuda():
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return [fluid.CUDAPlace(0), fluid.CPUPlace()]
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else:
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return [fluid.CPUPlace()]
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def test_main(self):
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for p in self.get_places():
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self.main_impl(p)
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class TestPyReaderCombination2(TestPyReaderCombination):
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def setUp(self):
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self.n1 = 20
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self.n2 = 10
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self.batch_size = 2
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class TestPyReaderCombination3(TestPyReaderCombination):
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def setUp(self):
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self.n1 = 10
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self.n2 = 10
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self.batch_size = 2
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if __name__ == '__main__':
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unittest.main()
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