wehub-resource-sync
149 lines
4.6 KiB
Python
149 lines
4.6 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 math
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import os
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import unittest
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import numpy as np
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import paddle
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from paddle import base
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os.environ['CPU_NUM'] = '1'
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def random_reader(sample_num):
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def __impl__():
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for _ in range(sample_num):
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yield (
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np.random.random(size=[784]).astype('float32'),
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np.random.random_integers(low=0, high=9, size=[1]).astype(
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'int64'
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),
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)
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return paddle.reader.cache(__impl__)
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class TestCaseBase(unittest.TestCase):
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def setUp(self):
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self.batch_size = 32
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self.epoch_num = 2
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self.sample_num = 165
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def generate_all_data(self, reader):
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ret = []
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for d in reader():
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slots = [[], []]
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for item in d:
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slots[0].append(item[0])
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slots[1].append(item[1])
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slots = [np.array(slot) for slot in slots]
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ret.append(slots)
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return ret
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def run_main(self, reader, use_sample_generator, iterable, drop_last):
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image = paddle.static.data(
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name='image', dtype='float32', shape=[-1, 784]
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)
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label = paddle.static.data(name='label', dtype='int64', shape=[-1, 1])
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py_reader = base.io.PyReader(
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feed_list=[image, label],
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capacity=16,
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iterable=iterable,
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use_double_buffer=False,
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)
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batch_reader = paddle.batch(reader, self.batch_size, drop_last)
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all_datas = self.generate_all_data(batch_reader)
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if not use_sample_generator:
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py_reader.decorate_sample_list_generator(
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batch_reader, places=base.cpu_places()
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)
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else:
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py_reader.decorate_sample_generator(
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reader, self.batch_size, drop_last, places=base.cpu_places()
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)
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if drop_last:
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batch_num = int(self.sample_num / self.batch_size)
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else:
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batch_num = math.ceil(float(self.sample_num) / self.batch_size)
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exe = base.Executor(base.CPUPlace())
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exe.run(base.default_startup_program())
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for _ in range(self.epoch_num):
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if py_reader.iterable:
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step = 0
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for data in py_reader():
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img, lbl = exe.run(feed=data, fetch_list=[image, label])
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self.assertArrayEqual(img, all_datas[step][0])
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self.assertArrayEqual(lbl, all_datas[step][1])
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step += 1
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self.assertEqual(step, len(all_datas))
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else:
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step = 0
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try:
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py_reader.start()
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while True:
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img, lbl = exe.run(fetch_list=[image, label])
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self.assertArrayEqual(img, all_datas[step][0])
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self.assertArrayEqual(lbl, all_datas[step][1])
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step += 1
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except base.core.EOFException:
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py_reader.reset()
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self.assertEqual(step, len(all_datas))
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break
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def assertArrayEqual(self, arr1, arr2):
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self.assertEqual(arr1.shape, arr2.shape)
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self.assertTrue((arr1 == arr2).all())
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def test_main(self):
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reader = random_reader(self.sample_num)
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for use_sample_generator in [False, True]:
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for iterable in [True]:
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for drop_last in [False, True]:
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with base.program_guard(base.Program(), base.Program()):
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self.run_main(
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reader, use_sample_generator, iterable, drop_last
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)
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class TestCase1(TestCaseBase):
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def setUp(self):
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self.batch_size = 32
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self.epoch_num = 10
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self.sample_num = 160
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class TestCase2(TestCaseBase):
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def setUp(self):
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self.batch_size = 32
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self.epoch_num = 2
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self.sample_num = 200
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class TestCase3(TestCaseBase):
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def setUp(self):
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self.batch_size = 32
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self.epoch_num = 2
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self.sample_num = 159
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if __name__ == '__main__':
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unittest.main()
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