wehub-resource-sync
111 lines
4.0 KiB
Python
111 lines
4.0 KiB
Python
# 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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import unittest
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import paddle
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from paddle import base
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paddle.enable_static()
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class TestDataFeeder(unittest.TestCase):
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def test_lod_level_0_converter(self):
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with paddle.static.program_guard(
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paddle.static.Program(), paddle.static.Program()
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):
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img = paddle.static.data(name='image', shape=[-1, 1, 28, 28])
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label = paddle.static.data(
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name='label', shape=[-1, 1], dtype='int64'
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)
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feeder = base.DataFeeder([img, label], base.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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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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with paddle.static.program_guard(
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paddle.static.Program(), paddle.static.Program()
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):
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# lod_level = 1
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# each sentence has a different number of words
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sentences = paddle.static.data(
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name='sentences', shape=[-1, 1], dtype='int64'
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)
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label = paddle.static.data(
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name='label', shape=[-1, 1], dtype='int64'
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)
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feeder = base.DataFeeder([sentences, label], base.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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)
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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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def test_lod_level_2_converter(self):
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with paddle.static.program_guard(
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paddle.static.Program(), paddle.static.Program()
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):
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# lod_level = 2
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# paragraphs -> sentences -> words
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paragraphs = paddle.static.data(
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name='paragraphs', shape=[-1, 1], dtype='int64', lod_level=2
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)
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label = paddle.static.data(
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name='label', shape=[-1, 1], dtype='int64'
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)
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feeder = base.DataFeeder([paragraphs, label], base.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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)
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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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def test_errors(self):
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def pir_mode_not_supported_str_feed():
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with (
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paddle.pir_utils.IrGuard(),
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paddle.static.program_guard(
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paddle.static.Program(), paddle.static.Program()
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),
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):
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img = paddle.static.data(name='image', shape=[-1, 1, 28, 28])
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label = paddle.static.data(
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name='label', shape=[-1, 1], dtype='int64'
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)
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feeder = base.DataFeeder(['image', label], base.CPUPlace())
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self.assertRaises(ValueError, pir_mode_not_supported_str_feed)
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if __name__ == '__main__':
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unittest.main()
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