52 lines
1.3 KiB
52 lines
1.3 KiB
# Copyright (c) 2016 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 optimizer
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import layer
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import activation
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import parameters
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import trainer
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import event
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import data_type
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import topology
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import data_feeder
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import networks
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from . import dataset
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from . import reader
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from . import plot
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import attr
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import pooling
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import inference
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import networks
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import py_paddle.swig_paddle as api
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import minibatch
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import plot
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__all__ = [
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'optimizer', 'layer', 'activation', 'parameters', 'init', 'trainer',
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'event', 'data_type', 'attr', 'pooling', 'data_feeder', 'dataset', 'reader',
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'topology', 'networks', 'infer', 'plot'
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]
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def init(**kwargs):
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args = []
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for key in kwargs.keys():
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args.append('--%s=%s' % (key, str(kwargs[key])))
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api.initPaddle(*args)
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infer = inference.infer
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batch = minibatch.batch
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