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e41db6e1
编写于
2月 25, 2019
作者:
K
Kaipeng Deng
提交者:
GitHub
2月 25, 2019
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差异文件
Merge pull request #15897 from heavengate/fix_pool3d_doc
fix pool3d doc. test=develop
上级
c6bd434f
373cfb0c
变更
2
显示空白变更内容
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2 changed file
with
34 addition
and
13 deletion
+34
-13
paddle/fluid/operators/pool_op.cc
paddle/fluid/operators/pool_op.cc
+8
-7
python/paddle/fluid/layers/nn.py
python/paddle/fluid/layers/nn.py
+26
-6
未找到文件。
paddle/fluid/operators/pool_op.cc
浏览文件 @
e41db6e1
...
...
@@ -168,9 +168,10 @@ void Pool2dOpMaker::Make() {
"be ignored."
);
// TODO(Chengduo): Add checker.
// (Currently,
// TypedAttrChecker don't support vector type.)
AddAttr
<
bool
>
(
"global_pooling"
,
AddAttr
<
bool
>
(
"global_pooling"
,
"(bool, default false) Whether to use the global pooling. "
"If global_pooling = true, k
size and paddings will be ignored."
)
"If global_pooling = true, kernel
size and paddings will be ignored."
)
.
SetDefault
(
false
);
AddAttr
<
std
::
vector
<
int
>>
(
"strides"
,
"(vector<int>, default {1, 1}), strides(height, "
...
...
@@ -182,7 +183,7 @@ void Pool2dOpMaker::Make() {
"paddings"
,
"(vector<int>, default {0,0}), paddings(height, width) of pooling "
"operator."
"If global_pooling = true, paddings and ksize will be ignored."
)
"If global_pooling = true, paddings and k
ernel
size will be ignored."
)
.
SetDefault
({
0
,
0
});
AddAttr
<
bool
>
(
"exclusive"
,
...
...
@@ -204,7 +205,7 @@ void Pool2dOpMaker::Make() {
.
SetDefault
(
false
);
AddAttr
<
bool
>
(
"ceil_mode"
,
"(bool, default false) Wether to use the ceil function to calculate "
"(bool, default false) W
h
ether to use the ceil function to calculate "
"output height and width. False is the default. If it is set to False, "
"the floor function will be used."
)
.
SetDefault
(
false
);
...
...
@@ -333,7 +334,7 @@ void Pool3dOpMaker::Make() {
AddAttr
<
bool
>
(
"global_pooling"
,
"(bool, default false) Whether to use the global pooling. "
"If global_pooling = true, k
size and paddings wille
be ignored."
)
"If global_pooling = true, k
ernel size and paddings will
be ignored."
)
.
SetDefault
(
false
);
AddAttr
<
std
::
vector
<
int
>>
(
"strides"
,
...
...
@@ -368,7 +369,7 @@ void Pool3dOpMaker::Make() {
.
SetDefault
(
false
);
AddAttr
<
bool
>
(
"ceil_mode"
,
"(bool, default false) Wether to use the ceil function to calculate "
"(bool, default false) W
h
ether to use the ceil function to calculate "
"output height and width. False is the default. If it is set to False, "
"the floor function will be used."
)
.
SetDefault
(
false
);
...
...
python/paddle/fluid/layers/nn.py
浏览文件 @
e41db6e1
...
...
@@ -2473,7 +2473,7 @@ def pool2d(input,
data = fluid.layers.data(
name='data', shape=[3, 32, 32], dtype='float32')
conv
2d = fluid.layers.pool2d(
pool
2d = fluid.layers.pool2d(
input=data,
pool_size=2,
pool_type='max',
...
...
@@ -2522,6 +2522,7 @@ def pool2d(input,
return
pool_out
@
templatedoc
()
def
pool3d
(
input
,
pool_size
=-
1
,
pool_type
=
"max"
,
...
...
@@ -2533,13 +2534,19 @@ def pool3d(input,
name
=
None
,
exclusive
=
True
):
"""
This function adds the operator for pooling in 3-dimensions, using the
pooling configurations mentioned in input parameters.
${comment}
Args:
input (Variable): ${input_comment}
pool_size (int): ${ksize_comment}
pool_type (str): ${pooling_type_comment}
input (Variable): The input tensor of pooling operator. The format of
input tensor is NCDHW, where N is batch size, C is
the number of channels, D is the depth of the feature,
H is the height of the feature, and W is the width
of the feature.
pool_size (int|list|tuple): The pool kernel size. If pool kernel size
is a tuple or list, it must contain three integers,
(pool_size_Depth, pool_size_Height, pool_size_Width).
Otherwise, the pool kernel size will be the cube of an int.
pool_type (string): ${pooling_type_comment}
pool_stride (int): stride of the pooling layer.
pool_padding (int): padding size.
global_pooling (bool): ${global_pooling_comment}
...
...
@@ -2552,6 +2559,19 @@ def pool3d(input,
Returns:
Variable: output of pool3d layer.
Examples:
.. code-block:: python
data = fluid.layers.data(
name='data', shape=[3, 32, 32, 32], dtype='float32')
pool3d = fluid.layers.pool3d(
input=data,
pool_size=2,
pool_type='max',
pool_stride=1,
global_pooling=False)
"""
if
pool_type
not
in
[
"max"
,
"avg"
]:
raise
ValueError
(
...
...
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