wehub-resource-sync
68 lines
2.1 KiB
Python
68 lines
2.1 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 unittest
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from op_test import get_places
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from utils import static_guard
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import paddle
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from paddle import base
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def main_test_func(place, dtype):
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with static_guard():
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main = base.Program()
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startup = base.Program()
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with (
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base.program_guard(main, startup),
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base.scope_guard(base.Scope()),
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):
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x = paddle.static.data(name='x', shape=[None, 13], dtype=dtype)
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y = paddle.static.data(name='y', shape=[None, 1], dtype=dtype)
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y_predict = paddle.static.nn.fc(x, size=1)
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cost = paddle.nn.functional.square_error_cost(
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input=y_predict, label=y
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)
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avg_cost = paddle.mean(cost)
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adam_optimizer = paddle.optimizer.Adam(0.01)
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adam_optimizer.minimize(avg_cost)
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fetch_list = [avg_cost]
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feeder = base.DataFeeder(place=place, feed_list=[x, y])
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exe = base.Executor(place)
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exe.run(base.default_startup_program())
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uci_housing = paddle.text.datasets.UCIHousing(mode='train')
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for data in uci_housing:
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exe.run(main, feed=feeder.feed([data]), fetch_list=fetch_list)
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class AdamFp32Test(unittest.TestCase):
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def setUp(self):
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self.dtype = 'float32'
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def test_main(self):
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for p in get_places():
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main_test_func(p, self.dtype)
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class AdamFp64Test(AdamFp32Test):
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def setUp(self):
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self.dtype = 'float64'
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if __name__ == '__main__':
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unittest.main()
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