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体验新版 GitCode,发现更多精彩内容 >>
提交
763a30fd
编写于
12月 22, 2016
作者:
Q
qiaolongfei
提交者:
Yu Yang
12月 22, 2016
浏览文件
操作
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电子邮件补丁
差异文件
add config_parser_utils
上级
843b63bb
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
48 addition
and
27 deletion
+48
-27
demo/mnist/api_train.py
demo/mnist/api_train.py
+9
-5
demo/mnist/simple_mnist_network.py
demo/mnist/simple_mnist_network.py
+0
-21
python/paddle/trainer_config_helpers/__init__.py
python/paddle/trainer_config_helpers/__init__.py
+1
-1
python/paddle/trainer_config_helpers/config_parser_utils.py
python/paddle/trainer_config_helpers/config_parser_utils.py
+38
-0
未找到文件。
demo/mnist/api_train.py
浏览文件 @
763a30fd
...
...
@@ -12,14 +12,17 @@ import paddle.trainer.PyDataProvider2 as dp
import
numpy
as
np
import
random
from
mnist_util
import
read_from_mnist
import
paddle.trainer_config_helpers.config_parser
as
config_parser
import
paddle.trainer_config_helpers.config_parser_utils
as
config_parser_utils
from
paddle.trainer_config_helpers
import
*
def
optimizer_config
():
settings
(
learning_rate
=
1e-4
,
learning_method
=
AdamOptimizer
(),
batch_size
=
1000
)
learning_rate
=
1e-4
,
learning_method
=
AdamOptimizer
(),
batch_size
=
1000
,
model_average
=
ModelAverage
(
average_window
=
0.5
),
regularization
=
L2Regularization
(
rate
=
0.5
))
def
network_config
():
...
...
@@ -77,13 +80,14 @@ def main():
# enable_types = [value, gradient, momentum, etc]
# For each optimizer(SGD, Adam), GradientMachine should enable different
# buffers.
opt_config_proto
=
config_parser
.
parse_optimizer_config
(
optimizer_config
)
opt_config_proto
=
config_parser_utils
.
parse_optimizer_config
(
optimizer_config
)
opt_config
=
api
.
OptimizationConfig
.
createFromProto
(
opt_config_proto
)
_temp_optimizer_
=
api
.
ParameterOptimizer
.
create
(
opt_config
)
enable_types
=
_temp_optimizer_
.
getParameterTypes
()
# Create Simple Gradient Machine.
model_config
=
config_parser
.
parse_network_config
(
network_config
)
model_config
=
config_parser
_utils
.
parse_network_config
(
network_config
)
m
=
api
.
GradientMachine
.
createFromConfigProto
(
model_config
,
api
.
CREATE_MODE_NORMAL
,
enable_types
)
...
...
demo/mnist/simple_mnist_network.py
已删除
100644 → 0
浏览文件 @
843b63bb
from
paddle.trainer_config_helpers
import
*
settings
(
learning_rate
=
1e-4
,
learning_method
=
AdamOptimizer
(),
batch_size
=
1000
,
model_average
=
ModelAverage
(
average_window
=
0.5
),
regularization
=
L2Regularization
(
rate
=
0.5
))
imgs
=
data_layer
(
name
=
'pixel'
,
size
=
784
)
hidden1
=
fc_layer
(
input
=
imgs
,
size
=
200
)
hidden2
=
fc_layer
(
input
=
hidden1
,
size
=
200
)
inference
=
fc_layer
(
input
=
hidden2
,
size
=
10
,
act
=
SoftmaxActivation
())
cost
=
classification_cost
(
input
=
inference
,
label
=
data_layer
(
name
=
'label'
,
size
=
10
))
outputs
(
cost
)
python/paddle/trainer_config_helpers/__init__.py
浏览文件 @
763a30fd
...
...
@@ -20,7 +20,7 @@ from layers import *
from
networks
import
*
from
optimizers
import
*
from
attrs
import
*
from
config_parser
import
*
from
config_parser
_utils
import
*
# This will enable operator overload for LayerOutput
import
math
as
layer_math
python/paddle/trainer_config_helpers/config_parser_utils.py
0 → 100644
浏览文件 @
763a30fd
# 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
paddle.trainer.config_parser
as
config_parser
'''
This file is a wrapper of formal config_parser. The main idea of this file is to
separete different config logic into different function, such as network configuration
and optimizer configuration.
'''
__all__
=
[
"parse_trainer_config"
,
"parse_network_config"
,
"parse_optimizer_config"
]
def
parse_trainer_config
(
trainer_conf
,
config_arg_str
):
return
config_parser
.
parse_config
(
trainer_conf
,
config_arg_str
)
def
parse_network_config
(
network_conf
,
config_arg_str
=
''
):
config
=
config_parser
.
parse_config
(
network_conf
,
config_arg_str
)
return
config
.
model_config
def
parse_optimizer_config
(
optimizer_conf
,
config_arg_str
=
''
):
config
=
config_parser
.
parse_config
(
optimizer_conf
,
config_arg_str
)
return
config
.
opt_config
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