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体验新版 GitCode,发现更多精彩内容 >>
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d01318c0
编写于
2月 28, 2018
作者:
F
fengjiayi
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电子邮件补丁
差异文件
add WeightedAverage
上级
757e2c03
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
62 addition
and
1 deletion
+62
-1
python/paddle/v2/fluid/average.py
python/paddle/v2/fluid/average.py
+61
-0
python/paddle/v2/fluid/layers/nn.py
python/paddle/v2/fluid/layers/nn.py
+1
-1
未找到文件。
python/paddle/v2/fluid/average.py
0 → 100644
浏览文件 @
d01318c0
# Copyright (c) 2018 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
numpy
as
np
"""
Class of all kinds of Average.
All Averages are accomplished via Python totally.
They do not change Paddle's Program, nor do anything to
modify NN model's configuration. They are completely
wrappers of Python functions.
"""
def
_is_number_
(
var
):
return
isinstance
(
var
,
int
)
or
isinstance
(
var
,
float
)
or
(
isinstance
(
var
,
np
.
ndarray
)
and
var
.
shape
==
(
1
,
))
def
_is_number_or_matrix_
(
var
):
return
_is_number_
(
var
)
or
isinstance
(
var
,
np
.
ndarray
)
class
WeightedAverage
(
object
):
def
__init__
(
self
):
self
.
reset
()
def
reset
(
self
):
self
.
numerator
=
None
self
.
denominator
=
None
def
add
(
self
,
value
,
weight
):
if
not
_is_number_or_matrix_
(
value
):
raise
ValueError
(
"The 'value' must be a number(int, float) or a numpy ndarray."
)
if
not
_is_number_
(
weight
):
raise
ValueError
(
"The 'weight' must be a number(int, float)."
)
if
self
.
numerator
is
None
or
self
.
denominator
is
None
:
self
.
numerator
=
value
*
weight
self
.
denominator
=
weight
else
:
self
.
numerator
+=
value
*
weight
self
.
denominator
+=
weight
def
eval
(
self
):
if
self
.
numerator
is
None
or
self
.
denominator
is
None
:
raise
ValueError
(
"There is no data to be averaged in WeightedAverage."
)
return
self
.
numerator
/
self
.
denominator
python/paddle/v2/fluid/layers/nn.py
浏览文件 @
d01318c0
...
...
@@ -3161,7 +3161,7 @@ def smooth_l1(x, y, inside_weight=None, outside_weight=None, sigma=None):
data = fluid.layers.data(name='data', shape=[128], dtype='float32')
label = fluid.layers.data(name='label', shape=[100], dtype='int64')
fc = fluid.layers.fc(input=data, size=100)
out = fluid.layers.smooth_l1(
logits=fc, label
=label)
out = fluid.layers.smooth_l1(
x=fc, y
=label)
"""
helper
=
LayerHelper
(
'smooth_l1_loss'
,
**
locals
())
diff
=
helper
.
create_tmp_variable
(
dtype
=
x
.
dtype
)
...
...
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