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82 lines
3.3 KiB
82 lines
3.3 KiB
# Copyright (c) 2018 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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from __future__ import print_function
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import paddle.fluid as fluid
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import unittest
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class TestDataFeeder(unittest.TestCase):
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def test_lod_level_0_converter(self):
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img = fluid.layers.data(name='image', shape=[1, 28, 28])
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label = fluid.layers.data(name='label', shape=[1], dtype='int64')
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feeder = fluid.DataFeeder([img, label], fluid.CPUPlace())
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result = feeder.feed([([0] * 784, [9]), ([1] * 784, [1])])
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self.assertEqual(result['image'].shape(), [2, 1, 28, 28])
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self.assertEqual(result['label'].shape(), [2, 1])
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self.assertEqual(result['image'].recursive_sequence_lengths(), [])
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self.assertEqual(result['label'].recursive_sequence_lengths(), [])
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try:
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result = feeder.feed([([0] * 783, [9]), ([1] * 783, [1])])
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self.assertTrue(False)
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except ValueError:
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self.assertTrue(True)
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def test_lod_level_1_converter(self):
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# lod_level = 1
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# each sentence has a different number of words
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sentences = fluid.layers.data(
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name='sentences', shape=[1], dtype='int64', lod_level=1)
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label = fluid.layers.data(name='label', shape=[1], dtype='int64')
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feeder = fluid.DataFeeder([sentences, label], fluid.CPUPlace())
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# lod = [[0, 3, 5, 9]]
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# data = [[1, 2, 3], [4, 5], [6, 7, 8, 9]]
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# label = [1] * len(data)
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result = feeder.feed(
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[([1, 2, 3], [1]), ([4, 5], [1]), ([6, 7, 8, 9], [1])])
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self.assertEqual(result['sentences'].shape(), [9, 1])
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self.assertEqual(result['label'].shape(), [3, 1])
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self.assertEqual(result['sentences'].recursive_sequence_lengths(),
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[[3, 2, 4]])
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self.assertEqual(result['label'].recursive_sequence_lengths(), [])
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def test_lod_level_2_converter(self):
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# lod_level = 2
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# paragraphs -> sentences -> words
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paragraphs = fluid.layers.data(
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name='paragraphs', shape=[1], dtype='int64', lod_level=2)
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label = fluid.layers.data(name='label', shape=[1], dtype='int64')
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feeder = fluid.DataFeeder([paragraphs, label], fluid.CPUPlace())
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# lod = [[0, 2, 3], [0, 3, 5, 9]]
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# data = [[[1, 2, 3], [4, 5]], [[6, 7, 8, 9]]]
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# label = [1] * len(data)
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result = feeder.feed(
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[([[1, 2, 3], [4, 5]], [1]), ([[6, 7, 8, 9]], [1])])
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self.assertEqual(result['paragraphs'].shape(), [9, 1])
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self.assertEqual(result['label'].shape(), [2, 1])
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self.assertEqual(result['paragraphs'].recursive_sequence_lengths(),
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[[2, 1], [3, 2, 4]])
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self.assertEqual(result['label'].recursive_sequence_lengths(), [])
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if __name__ == '__main__':
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unittest.main()
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