# 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.

import os

import optimizer

import layer

import activation

import parameters

import trainer

import event

import data_type

import topology

import data_feeder

import networks

import evaluator

from . import dataset

from . import reader

from . import plot

import attr

import op

import pooling

import inference

import networks

import py_paddle.swig_paddle as api

import minibatch

import plot

import image

__all__ = [

'optimizer',

'layer',

'activation',

'parameters',

'init',

'trainer',

'event',

'data_type',

'attr',

'pooling',

'data_feeder',

'dataset',

'reader',

'topology',

'networks',

'infer',

'plot',

'evaluator',

'image',

'master',

]

def init(**kwargs):

args = []

args_dict = {}

# NOTE: append arguments if they are in ENV

for ek, ev in os.environ.iteritems():

if ek.startswith("PADDLE_INIT_"):

args_dict[ek.replace("PADDLE_INIT_", "").lower()] = str(ev)

args_dict.update(kwargs)

# NOTE: overwrite arguments from ENV if it is in kwargs

for key in args_dict.keys():

args.append('--%s=%s' % (key, str(args_dict[key])))

api.initPaddle(*args)

infer = inference.infer

batch = minibatch.batch