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48 lines
1.6 KiB
48 lines
1.6 KiB
7 years ago
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# 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 paddle.fluid as fluid
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import paddle.fluid.framework as framework
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def train_network(with_optimize):
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x = fluid.layers.data(name='x', shape=[13], dtype='float32')
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y_predict = fluid.layers.fc(input=x, size=1, act=None)
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y = fluid.layers.data(name='y', shape=[1], dtype='float32')
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cost = fluid.layers.square_error_cost(input=y_predict, label=y)
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avg_cost = fluid.layers.mean(cost)
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if with_optimize:
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sgd_optimizer = fluid.optimizer.SGD(learning_rate=0.00001)
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sgd_optimizer.minimize(avg_cost)
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else:
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fluid.backward.append_backward(avg_cost)
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def save_program_desc(network_func):
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startup_program = framework.Program()
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train_program = framework.Program()
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with framework.program_guard(train_program, startup_program):
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network_func(with_optimize=False)
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with open("startup_program", "w") as f:
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f.write(startup_program.desc.serialize_to_string())
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with open("main_program", "w") as f:
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f.write(train_program.desc.serialize_to_string())
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save_program_desc(train_network)
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