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23d016da
编写于
6月 20, 2017
作者:
T
Travis CI
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电子邮件补丁
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Deploy to GitHub Pages:
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Showing
4 changed file
with
44 addition
and
16 deletion
+44
-16
develop/doc/api/v2/config/layer.html
develop/doc/api/v2/config/layer.html
+21
-7
develop/doc/searchindex.js
develop/doc/searchindex.js
+1
-1
develop/doc_cn/api/v2/config/layer.html
develop/doc_cn/api/v2/config/layer.html
+21
-7
develop/doc_cn/searchindex.js
develop/doc_cn/searchindex.js
+1
-1
未找到文件。
develop/doc/api/v2/config/layer.html
浏览文件 @
23d016da
...
@@ -2010,13 +2010,14 @@ Inputs can be list of paddle.v2.config_base.Layer or list of projection.</p>
...
@@ -2010,13 +2010,14 @@ Inputs can be list of paddle.v2.config_base.Layer or list of projection.</p>
<dl
class=
"docutils"
>
<dl
class=
"docutils"
>
<dt>
Inputs:
</dt>
<dt>
Inputs:
</dt>
<dd><ul
class=
"first last simple"
>
<dd><ul
class=
"first last simple"
>
<li>
a = [a1, a2, ..., a
n
]
</li>
<li>
a = [a1, a2, ..., a
m
]
</li>
<li>
b = [b1, b2, ..., bn]
</li>
<li>
b = [b1, b2, ..., bn]
</li>
<li>
Note that the length of a and b should be the same.
</li>
</ul>
</ul>
</dd>
</dd>
</dl>
</dl>
<p>
Output: [a1, b1, a2, b2, ..., an, bn]
</p>
<p>
Output: [a1, ..., am, b1, ..., bn]
</p>
<p>
Note that the above computation is for one sample. Multiple samples are
processed in one batch.
</p>
<p>
The example usage is:
</p>
<p>
The example usage is:
</p>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
concat
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
seq_concat
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
a
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
layer1
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
b
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
layer2
</span><span
class=
"p"
>
)
</span>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
concat
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
seq_concat
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
a
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
layer1
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
b
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
layer2
</span><span
class=
"p"
>
)
</span>
</pre></div>
</pre></div>
...
@@ -2171,10 +2172,17 @@ bias.</li>
...
@@ -2171,10 +2172,17 @@ bias.</li>
<dl
class=
"class"
>
<dl
class=
"class"
>
<dt>
<dt>
<em
class=
"property"
>
class
</em><code
class=
"descclassname"
>
paddle.v2.layer.
</code><code
class=
"descname"
>
repeat
</code></dt>
<em
class=
"property"
>
class
</em><code
class=
"descclassname"
>
paddle.v2.layer.
</code><code
class=
"descname"
>
repeat
</code></dt>
<dd><p>
A layer for repeating the input for num_repeats times. This is equivalent
<dd><p>
A layer for repeating the input for num_repeats times.
</p>
to apply concat() with num_repeats same input.
</p>
<p>
If as_row_vector:
<div
class=
"math"
>
.. math:
</p>
\[y = [x, x, \cdots, x]\]
</div>
<div
class=
"highlight-default"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
y
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"p"
>
[
</span><span
class=
"n"
>
x_1
</span><span
class=
"p"
>
,
</span>
\
<span
class=
"n"
>
cdots
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
x_n
</span><span
class=
"p"
>
,
</span>
\
<span
class=
"n"
>
cdots
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
x_1
</span><span
class=
"p"
>
,
</span>
\
<span
class=
"n"
>
cdots
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
x_n
</span><span
class=
"p"
>
]
</span>
</pre></div>
</div>
<p>
If not as_row_vector:
.. math:
</p>
<div
class=
"highlight-default"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
y
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"p"
>
[
</span><span
class=
"n"
>
x_1
</span><span
class=
"p"
>
,
</span>
\
<span
class=
"n"
>
cdots
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
x_1
</span><span
class=
"p"
>
,
</span>
\
<span
class=
"n"
>
cdots
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
x_n
</span><span
class=
"p"
>
,
</span>
\
<span
class=
"n"
>
cdots
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
x_n
</span><span
class=
"p"
>
]
</span>
</pre></div>
</div>
<p>
The example usage is:
</p>
<p>
The example usage is:
</p>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
expand
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
repeat
</span><span
class=
"p"
>
(
</span><span
class=
"nb"
>
input
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
layer
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
num_repeats
</span><span
class=
"o"
>
=
</span><span
class=
"mi"
>
4
</span><span
class=
"p"
>
)
</span>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
expand
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
repeat
</span><span
class=
"p"
>
(
</span><span
class=
"nb"
>
input
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
layer
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
num_repeats
</span><span
class=
"o"
>
=
</span><span
class=
"mi"
>
4
</span><span
class=
"p"
>
)
</span>
</pre></div>
</pre></div>
...
@@ -2187,6 +2195,12 @@ to apply concat() with num_repeats same input.</p>
...
@@ -2187,6 +2195,12 @@ to apply concat() with num_repeats same input.</p>
<li><strong>
input
</strong>
(
<em>
paddle.v2.config_base.Layer
</em>
)
–
Input layer
</li>
<li><strong>
input
</strong>
(
<em>
paddle.v2.config_base.Layer
</em>
)
–
Input layer
</li>
<li><strong>
num_repeats
</strong>
(
<em>
int
</em>
)
–
Repeat the input so many times
</li>
<li><strong>
num_repeats
</strong>
(
<em>
int
</em>
)
–
Repeat the input so many times
</li>
<li><strong>
name
</strong>
(
<em>
basestring
</em>
)
–
Layer name.
</li>
<li><strong>
name
</strong>
(
<em>
basestring
</em>
)
–
Layer name.
</li>
<li><strong>
as_row_vector
</strong>
(
<em>
bool
</em>
)
–
True for treating input as row vector and repeating
in the column direction. This is equivalent to apply
concat() with num_repeats same input.
False for treating input as column vector and repeating
in the row direction.
</li>
<li><strong>
act
</strong>
(
<em>
paddle.v2.activation.Base
</em>
)
–
Activation type.
</li>
<li><strong>
layer_attr
</strong>
(
<em>
paddle.v2.attr.ExtraAttribute
</em>
)
–
extra layer attributes.
</li>
<li><strong>
layer_attr
</strong>
(
<em>
paddle.v2.attr.ExtraAttribute
</em>
)
–
extra layer attributes.
</li>
</ul>
</ul>
</td>
</td>
...
...
develop/doc/searchindex.js
浏览文件 @
23d016da
因为 它太大了无法显示 source diff 。你可以改为
查看blob
。
develop/doc_cn/api/v2/config/layer.html
浏览文件 @
23d016da
...
@@ -2015,13 +2015,14 @@ Inputs can be list of paddle.v2.config_base.Layer or list of projection.</p>
...
@@ -2015,13 +2015,14 @@ Inputs can be list of paddle.v2.config_base.Layer or list of projection.</p>
<dl
class=
"docutils"
>
<dl
class=
"docutils"
>
<dt>
Inputs:
</dt>
<dt>
Inputs:
</dt>
<dd><ul
class=
"first last simple"
>
<dd><ul
class=
"first last simple"
>
<li>
a = [a1, a2, ..., a
n
]
</li>
<li>
a = [a1, a2, ..., a
m
]
</li>
<li>
b = [b1, b2, ..., bn]
</li>
<li>
b = [b1, b2, ..., bn]
</li>
<li>
Note that the length of a and b should be the same.
</li>
</ul>
</ul>
</dd>
</dd>
</dl>
</dl>
<p>
Output: [a1, b1, a2, b2, ..., an, bn]
</p>
<p>
Output: [a1, ..., am, b1, ..., bn]
</p>
<p>
Note that the above computation is for one sample. Multiple samples are
processed in one batch.
</p>
<p>
The example usage is:
</p>
<p>
The example usage is:
</p>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
concat
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
seq_concat
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
a
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
layer1
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
b
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
layer2
</span><span
class=
"p"
>
)
</span>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
concat
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
seq_concat
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
a
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
layer1
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
b
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
layer2
</span><span
class=
"p"
>
)
</span>
</pre></div>
</pre></div>
...
@@ -2176,10 +2177,17 @@ bias.</li>
...
@@ -2176,10 +2177,17 @@ bias.</li>
<dl
class=
"class"
>
<dl
class=
"class"
>
<dt>
<dt>
<em
class=
"property"
>
class
</em><code
class=
"descclassname"
>
paddle.v2.layer.
</code><code
class=
"descname"
>
repeat
</code></dt>
<em
class=
"property"
>
class
</em><code
class=
"descclassname"
>
paddle.v2.layer.
</code><code
class=
"descname"
>
repeat
</code></dt>
<dd><p>
A layer for repeating the input for num_repeats times. This is equivalent
<dd><p>
A layer for repeating the input for num_repeats times.
</p>
to apply concat() with num_repeats same input.
</p>
<p>
If as_row_vector:
<div
class=
"math"
>
.. math:
</p>
\[y = [x, x, \cdots, x]\]
</div>
<div
class=
"highlight-default"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
y
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"p"
>
[
</span><span
class=
"n"
>
x_1
</span><span
class=
"p"
>
,
</span>
\
<span
class=
"n"
>
cdots
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
x_n
</span><span
class=
"p"
>
,
</span>
\
<span
class=
"n"
>
cdots
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
x_1
</span><span
class=
"p"
>
,
</span>
\
<span
class=
"n"
>
cdots
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
x_n
</span><span
class=
"p"
>
]
</span>
</pre></div>
</div>
<p>
If not as_row_vector:
.. math:
</p>
<div
class=
"highlight-default"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
y
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"p"
>
[
</span><span
class=
"n"
>
x_1
</span><span
class=
"p"
>
,
</span>
\
<span
class=
"n"
>
cdots
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
x_1
</span><span
class=
"p"
>
,
</span>
\
<span
class=
"n"
>
cdots
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
x_n
</span><span
class=
"p"
>
,
</span>
\
<span
class=
"n"
>
cdots
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
x_n
</span><span
class=
"p"
>
]
</span>
</pre></div>
</div>
<p>
The example usage is:
</p>
<p>
The example usage is:
</p>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
expand
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
repeat
</span><span
class=
"p"
>
(
</span><span
class=
"nb"
>
input
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
layer
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
num_repeats
</span><span
class=
"o"
>
=
</span><span
class=
"mi"
>
4
</span><span
class=
"p"
>
)
</span>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
expand
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
repeat
</span><span
class=
"p"
>
(
</span><span
class=
"nb"
>
input
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
layer
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
num_repeats
</span><span
class=
"o"
>
=
</span><span
class=
"mi"
>
4
</span><span
class=
"p"
>
)
</span>
</pre></div>
</pre></div>
...
@@ -2192,6 +2200,12 @@ to apply concat() with num_repeats same input.</p>
...
@@ -2192,6 +2200,12 @@ to apply concat() with num_repeats same input.</p>
<li><strong>
input
</strong>
(
<em>
paddle.v2.config_base.Layer
</em>
)
–
Input layer
</li>
<li><strong>
input
</strong>
(
<em>
paddle.v2.config_base.Layer
</em>
)
–
Input layer
</li>
<li><strong>
num_repeats
</strong>
(
<em>
int
</em>
)
–
Repeat the input so many times
</li>
<li><strong>
num_repeats
</strong>
(
<em>
int
</em>
)
–
Repeat the input so many times
</li>
<li><strong>
name
</strong>
(
<em>
basestring
</em>
)
–
Layer name.
</li>
<li><strong>
name
</strong>
(
<em>
basestring
</em>
)
–
Layer name.
</li>
<li><strong>
as_row_vector
</strong>
(
<em>
bool
</em>
)
–
True for treating input as row vector and repeating
in the column direction. This is equivalent to apply
concat() with num_repeats same input.
False for treating input as column vector and repeating
in the row direction.
</li>
<li><strong>
act
</strong>
(
<em>
paddle.v2.activation.Base
</em>
)
–
Activation type.
</li>
<li><strong>
layer_attr
</strong>
(
<em>
paddle.v2.attr.ExtraAttribute
</em>
)
–
extra layer attributes.
</li>
<li><strong>
layer_attr
</strong>
(
<em>
paddle.v2.attr.ExtraAttribute
</em>
)
–
extra layer attributes.
</li>
</ul>
</ul>
</td>
</td>
...
...
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