__init__.py 1.8 KB
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# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
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import os
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import optimizer
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import layer
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import activation
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import parameters
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 networks
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import evaluator
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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 op
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import pooling
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import inference
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import networks
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import minibatch
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import plot
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import image
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import model
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__all__ = [
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    'optimizer',
    'layer',
    'activation',
    'parameters',
    'init',
    'trainer',
    'event',
    'data_type',
    'attr',
    'pooling',
    'dataset',
    'reader',
    'topology',
    'networks',
    'infer',
    'plot',
    'evaluator',
    'image',
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    'master',
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    'model',
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]
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def init(**kwargs):
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    import py_paddle.swig_paddle as api
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    args = []
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    args_dict = {}
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    # NOTE: append arguments if they are in ENV
    for ek, ev in os.environ.iteritems():
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        if ek.startswith("PADDLE_INIT_"):
            args_dict[ek.replace("PADDLE_INIT_", "").lower()] = str(ev)
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    args_dict.update(kwargs)
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    # NOTE: overwrite arguments from ENV if it is in kwargs
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    for key in args_dict.keys():
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        args.append('--%s=%s' % (key, str(args_dict[key])))
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    api.initPaddle(*args)
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infer = inference.infer
batch = minibatch.batch