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8f6e1b74
编写于
12月 25, 2017
作者:
T
Travis CI
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Deploy to GitHub Pages:
d3c42f7d
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4
展开全部
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并排
Showing
4 changed file
with
14 addition
and
10 deletion
+14
-10
develop/doc/api/v2/fluid/layers.html
develop/doc/api/v2/fluid/layers.html
+6
-4
develop/doc/searchindex.js
develop/doc/searchindex.js
+1
-1
develop/doc_cn/api/v2/fluid/layers.html
develop/doc_cn/api/v2/fluid/layers.html
+6
-4
develop/doc_cn/searchindex.js
develop/doc_cn/searchindex.js
+1
-1
未找到文件。
develop/doc/api/v2/fluid/layers.html
浏览文件 @
8f6e1b74
...
...
@@ -336,8 +336,9 @@ constructor.</p>
</tbody>
</table>
<p
class=
"rubric"
>
Examples
</p>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
data
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
name
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
ids
'
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
shape
</span><span
class=
"o"
>
=
</span><span
class=
"p"
>
[
</span><span
class=
"mi"
>
32
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
32
</span><span
class=
"p"
>
],
</span>
<span
class=
"n"
>
dtype
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
float32
'
</span><span
class=
"p"
>
)
</span>
<span
class=
"n"
>
fc
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
embedding
</span><span
class=
"p"
>
(
</span><span
class=
"nb"
>
input
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
size
</span><span
class=
"o"
>
=
</span><span
class=
"mi"
>
16
</span><span
class=
"p"
>
)
</span>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
dict_size
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"nb"
>
len
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
dataset
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
ids
</span><span
class=
"p"
>
)
</span>
<span
class=
"n"
>
data
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
name
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
ids
'
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
shape
</span><span
class=
"o"
>
=
</span><span
class=
"p"
>
[
</span><span
class=
"mi"
>
32
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
32
</span><span
class=
"p"
>
],
</span>
<span
class=
"n"
>
dtype
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
float32
'
</span><span
class=
"p"
>
)
</span>
<span
class=
"n"
>
fc
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
embedding
</span><span
class=
"p"
>
(
</span><span
class=
"nb"
>
input
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
size
</span><span
class=
"o"
>
=
</span><span
class=
"p"
>
[
</span><span
class=
"n"
>
dict_size
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
16
</span><span
class=
"p"
>
])
</span>
</pre></div>
</div>
</dd></dl>
...
...
@@ -862,8 +863,9 @@ constructor.</p>
</tbody>
</table>
<p
class=
"rubric"
>
Examples
</p>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
data
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
name
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
ids
'
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
shape
</span><span
class=
"o"
>
=
</span><span
class=
"p"
>
[
</span><span
class=
"mi"
>
32
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
32
</span><span
class=
"p"
>
],
</span>
<span
class=
"n"
>
dtype
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
float32
'
</span><span
class=
"p"
>
)
</span>
<span
class=
"n"
>
fc
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
embedding
</span><span
class=
"p"
>
(
</span><span
class=
"nb"
>
input
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
size
</span><span
class=
"o"
>
=
</span><span
class=
"mi"
>
16
</span><span
class=
"p"
>
)
</span>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
dict_size
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"nb"
>
len
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
dataset
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
ids
</span><span
class=
"p"
>
)
</span>
<span
class=
"n"
>
data
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
name
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
ids
'
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
shape
</span><span
class=
"o"
>
=
</span><span
class=
"p"
>
[
</span><span
class=
"mi"
>
32
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
32
</span><span
class=
"p"
>
],
</span>
<span
class=
"n"
>
dtype
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
float32
'
</span><span
class=
"p"
>
)
</span>
<span
class=
"n"
>
fc
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
embedding
</span><span
class=
"p"
>
(
</span><span
class=
"nb"
>
input
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
size
</span><span
class=
"o"
>
=
</span><span
class=
"p"
>
[
</span><span
class=
"n"
>
dict_size
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
16
</span><span
class=
"p"
>
])
</span>
</pre></div>
</div>
</dd></dl>
...
...
develop/doc/searchindex.js
浏览文件 @
8f6e1b74
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/fluid/layers.html
浏览文件 @
8f6e1b74
...
...
@@ -349,8 +349,9 @@ constructor.</p>
</tbody>
</table>
<p
class=
"rubric"
>
Examples
</p>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
data
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
name
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
ids
'
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
shape
</span><span
class=
"o"
>
=
</span><span
class=
"p"
>
[
</span><span
class=
"mi"
>
32
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
32
</span><span
class=
"p"
>
],
</span>
<span
class=
"n"
>
dtype
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
float32
'
</span><span
class=
"p"
>
)
</span>
<span
class=
"n"
>
fc
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
embedding
</span><span
class=
"p"
>
(
</span><span
class=
"nb"
>
input
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
size
</span><span
class=
"o"
>
=
</span><span
class=
"mi"
>
16
</span><span
class=
"p"
>
)
</span>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
dict_size
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"nb"
>
len
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
dataset
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
ids
</span><span
class=
"p"
>
)
</span>
<span
class=
"n"
>
data
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
name
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
ids
'
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
shape
</span><span
class=
"o"
>
=
</span><span
class=
"p"
>
[
</span><span
class=
"mi"
>
32
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
32
</span><span
class=
"p"
>
],
</span>
<span
class=
"n"
>
dtype
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
float32
'
</span><span
class=
"p"
>
)
</span>
<span
class=
"n"
>
fc
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
embedding
</span><span
class=
"p"
>
(
</span><span
class=
"nb"
>
input
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
size
</span><span
class=
"o"
>
=
</span><span
class=
"p"
>
[
</span><span
class=
"n"
>
dict_size
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
16
</span><span
class=
"p"
>
])
</span>
</pre></div>
</div>
</dd></dl>
...
...
@@ -875,8 +876,9 @@ constructor.</p>
</tbody>
</table>
<p
class=
"rubric"
>
Examples
</p>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
data
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
name
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
ids
'
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
shape
</span><span
class=
"o"
>
=
</span><span
class=
"p"
>
[
</span><span
class=
"mi"
>
32
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
32
</span><span
class=
"p"
>
],
</span>
<span
class=
"n"
>
dtype
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
float32
'
</span><span
class=
"p"
>
)
</span>
<span
class=
"n"
>
fc
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
embedding
</span><span
class=
"p"
>
(
</span><span
class=
"nb"
>
input
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
size
</span><span
class=
"o"
>
=
</span><span
class=
"mi"
>
16
</span><span
class=
"p"
>
)
</span>
<div
class=
"highlight-python"
><div
class=
"highlight"
><pre><span></span><span
class=
"n"
>
dict_size
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"nb"
>
len
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
dataset
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
ids
</span><span
class=
"p"
>
)
</span>
<span
class=
"n"
>
data
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
(
</span><span
class=
"n"
>
name
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
ids
'
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
shape
</span><span
class=
"o"
>
=
</span><span
class=
"p"
>
[
</span><span
class=
"mi"
>
32
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
32
</span><span
class=
"p"
>
],
</span>
<span
class=
"n"
>
dtype
</span><span
class=
"o"
>
=
</span><span
class=
"s1"
>
'
float32
'
</span><span
class=
"p"
>
)
</span>
<span
class=
"n"
>
fc
</span>
<span
class=
"o"
>
=
</span>
<span
class=
"n"
>
fluid
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
layers
</span><span
class=
"o"
>
.
</span><span
class=
"n"
>
embedding
</span><span
class=
"p"
>
(
</span><span
class=
"nb"
>
input
</span><span
class=
"o"
>
=
</span><span
class=
"n"
>
data
</span><span
class=
"p"
>
,
</span>
<span
class=
"n"
>
size
</span><span
class=
"o"
>
=
</span><span
class=
"p"
>
[
</span><span
class=
"n"
>
dict_size
</span><span
class=
"p"
>
,
</span>
<span
class=
"mi"
>
16
</span><span
class=
"p"
>
])
</span>
</pre></div>
</div>
</dd></dl>
...
...
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