47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
# Copyright (c) 2023 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
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def static_model(x, y):
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z = paddle.pow(x, y)
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return z
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def main():
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paddle.enable_static()
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paddle.set_flags({"FLAGS_check_nan_inf": 1, "FLAGS_check_nan_inf_level": 0})
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x_static = paddle.static.data(name='x_static', shape=[3], dtype='float32')
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y_static = paddle.static.data(name='y_static', shape=[3], dtype='float32')
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x_static.stop_gradient = False
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z_static = static_model(x_static, y_static)
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grads_static = paddle.static.gradients(z_static, x_static, y_static)
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exe_static = paddle.static.Executor(paddle.CPUPlace())
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exe_static.run(paddle.static.default_startup_program())
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grads_val_static = exe_static.run(
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paddle.static.default_main_program(),
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feed={'x_static': [1, 0, 3], 'y_static': [0, 0, 0]},
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fetch_list=[grads_static],
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)
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if __name__ == "__main__":
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main()
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