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98 lines
2.9 KiB
98 lines
2.9 KiB
# 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 paddle.fluid as fluid
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import paddle
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import numpy as np
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import unittest
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def infinite_reader():
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num = 0
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while True:
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yield (np.ones([8, 32]) * num).astype('float32'),
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num += 1
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class TestDataLoaderEarlyReset(unittest.TestCase):
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def setUp(self):
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self.stop_batch = 10
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self.iterable = True
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def build_network(self):
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y = fluid.layers.fc(self.x, size=10)
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loss = fluid.layers.reduce_mean(y)
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optimizer = fluid.optimizer.SGD(learning_rate=1e-3)
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optimizer.minimize(loss)
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def get_place(self):
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if fluid.is_compiled_with_cuda():
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return fluid.CUDAPlace(0)
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else:
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return fluid.CPUPlace()
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def create_data_loader(self):
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self.x = fluid.data(name='x', shape=[None, 32], dtype='float32')
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return fluid.io.DataLoader.from_generator(
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feed_list=[self.x], capacity=10, iterable=self.iterable)
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def test_main(self):
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with fluid.program_guard(fluid.Program(), fluid.Program()):
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with fluid.scope_guard(fluid.Scope()):
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self.run_network()
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def run_network(self):
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loader = self.create_data_loader()
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self.build_network()
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exe = fluid.Executor(self.get_place())
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exe.run(fluid.default_startup_program())
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prog = fluid.default_main_program()
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loader.set_batch_generator(infinite_reader, places=self.get_place())
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for epoch_id in range(10):
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batch_id = 0
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if loader.iterable:
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for data in loader():
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x_val, = exe.run(prog, feed=data, fetch_list=[self.x])
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self.assertTrue(np.all(x_val == batch_id))
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batch_id += 1
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if batch_id >= self.stop_batch:
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break
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else:
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loader.start()
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while True:
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exe.run(prog, fetch_list=[self.x])
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batch_id += 1
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if batch_id >= self.stop_batch:
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loader.reset()
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break
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self.assertEqual(batch_id, self.stop_batch)
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if loader.iterable:
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loader._reset()
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class TestDataLoaderEarlyReset2(TestDataLoaderEarlyReset):
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def setUp(self):
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self.stop_batch = 20
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self.iterable = False
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if __name__ == '__main__':
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unittest.main()
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