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4208b513
编写于
3月 22, 2017
作者:
T
Travis CI
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Deploy to GitHub Pages:
b5576301
上级
19673540
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3
隐藏空白更改
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并排
Showing
3 changed file
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3 addition
and
3 deletion
+3
-3
develop/doc/_sources/getstarted/build_and_install/build_from_source_en.md.txt
.../getstarted/build_and_install/build_from_source_en.md.txt
+1
-1
develop/doc/getstarted/build_and_install/build_from_source_en.html
...oc/getstarted/build_and_install/build_from_source_en.html
+1
-1
develop/doc/searchindex.js
develop/doc/searchindex.js
+1
-1
未找到文件。
develop/doc/_sources/getstarted/build_and_install/build_from_source_en.md.txt
浏览文件 @
4208b513
...
@@ -51,7 +51,7 @@ PaddlePaddle supports some build options.
...
@@ -51,7 +51,7 @@ PaddlePaddle supports some build options.
<tr><td class="left">WITH_TIMER</td><td class="left">Compile PaddlePaddle with stats timer</td></tr>
<tr><td class="left">WITH_TIMER</td><td class="left">Compile PaddlePaddle with stats timer</td></tr>
<tr><td class="left">WITH_PROFILER</td><td class="left">Compile PaddlePaddle with GPU profiler</td></tr>
<tr><td class="left">WITH_PROFILER</td><td class="left">Compile PaddlePaddle with GPU profiler</td></tr>
<tr><td class="left">WITH_DOC</td><td class="left">Compile PaddlePaddle with documentation</td></tr>
<tr><td class="left">WITH_DOC</td><td class="left">Compile PaddlePaddle with documentation</td></tr>
<tr><td class="left">
ON_COVERALLS
</td><td class="left">Compile PaddlePaddle with code coverage</td></tr>
<tr><td class="left">
WITH_COVERAGE
</td><td class="left">Compile PaddlePaddle with code coverage</td></tr>
<tr><td class="left">COVERALLS_UPLOAD</td><td class="left">Package code coverage data to coveralls</td></tr>
<tr><td class="left">COVERALLS_UPLOAD</td><td class="left">Package code coverage data to coveralls</td></tr>
<tr><td class="left">ON_TRAVIS</td><td class="left">Exclude special unit test on Travis CI</td></tr>
<tr><td class="left">ON_TRAVIS</td><td class="left">Exclude special unit test on Travis CI</td></tr>
</tbody>
</tbody>
...
...
develop/doc/getstarted/build_and_install/build_from_source_en.html
浏览文件 @
4208b513
...
@@ -275,7 +275,7 @@ For CUDA 8.0, GCC versions later than 5.3 are not supported!</p>
...
@@ -275,7 +275,7 @@ For CUDA 8.0, GCC versions later than 5.3 are not supported!</p>
<tr><td
class=
"left"
>
WITH_TIMER
</td><td
class=
"left"
>
Compile PaddlePaddle with stats timer
</td></tr>
<tr><td
class=
"left"
>
WITH_TIMER
</td><td
class=
"left"
>
Compile PaddlePaddle with stats timer
</td></tr>
<tr><td
class=
"left"
>
WITH_PROFILER
</td><td
class=
"left"
>
Compile PaddlePaddle with GPU profiler
</td></tr>
<tr><td
class=
"left"
>
WITH_PROFILER
</td><td
class=
"left"
>
Compile PaddlePaddle with GPU profiler
</td></tr>
<tr><td
class=
"left"
>
WITH_DOC
</td><td
class=
"left"
>
Compile PaddlePaddle with documentation
</td></tr>
<tr><td
class=
"left"
>
WITH_DOC
</td><td
class=
"left"
>
Compile PaddlePaddle with documentation
</td></tr>
<tr><td
class=
"left"
>
ON_COVERALLS
</td><td
class=
"left"
>
Compile PaddlePaddle with code coverage
</td></tr>
<tr><td
class=
"left"
>
WITH_COVERAGE
</td><td
class=
"left"
>
Compile PaddlePaddle with code coverage
</td></tr>
<tr><td
class=
"left"
>
COVERALLS_UPLOAD
</td><td
class=
"left"
>
Package code coverage data to coveralls
</td></tr>
<tr><td
class=
"left"
>
COVERALLS_UPLOAD
</td><td
class=
"left"
>
Package code coverage data to coveralls
</td></tr>
<tr><td
class=
"left"
>
ON_TRAVIS
</td><td
class=
"left"
>
Exclude special unit test on Travis CI
</td></tr>
<tr><td
class=
"left"
>
ON_TRAVIS
</td><td
class=
"left"
>
Exclude special unit test on Travis CI
</td></tr>
</tbody>
</tbody>
...
...
develop/doc/searchindex.js
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4208b513
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\
u4ef6
"
:
24
,
"
\
u6587
\
u4ef6
\
u5185
\
u5bb9
\
u4e3a
"
:
24
,
"
\
u65e0
\
u6cd5
\
u505a
\
u5230
\
u5bf9
\
u4e8e
\
u5404
\
u79cd
\
u8bed
\
u8a00
\
u9519
\
u8bef
\
u5904
\
u7406
\
u65b9
\
u5f0f
\
u7684
\
u9002
\
u914d
"
:
24
,
"
\
u662f
\
u4e00
\
u4e2a
\
u591a
\
u8bed
\
u8a00
\
u63a5
\
u53e3
\
u7684
\
u4ee3
\
u7801
\
u751f
\
u6210
\
u5668
"
:
24
,
"
\
u662f
\
u4e0d
\
u5e38
\
u89c1
\
u7684
\
u505a
\
u6cd5
"
:
24
,
"
\
u662f
\
u56e0
\
u4e3ac99
\
u652f
\
u6301
"
:
24
,
"
\
u6700
\
u5e38
\
u89c1
\
u7684
\
u9519
\
u8bef
\
u5904
\
u7406
\
u65b9
\
u5f0f
\
u662fexcept
"
:
24
,
"
\
u6709
\
u6807
\
u51c6
\
u7684
"
:
24
,
"
\
u6709
\
u7684
\
u65f6
\
u5019
"
:
24
,
"
\
u6765
\
u786e
\
u4fdd
\
u628a
"
:
24
,
"
\
u6765
\
u8868
\
u793apaddle
\
u5185
\
u90e8
\
u7c7b
"
:
24
,
"
\
u6a21
\
u578b
\
u914d
\
u7f6e
\
u89e3
\
u6790
"
:
24
,
"
\
u73b0
\
u9636
\
u6bb5paddle
\
u6709
\
u4e00
\
u4e2a
\
u95ee
\
u9898
\
u662f
"
:
24
,
"
\
u751f
\
u6210
\
u5404
\
u79cd
\
u8bed
\
u8a00
\
u7684
\
u7ed1
\
u5b9a
\
u4ee3
\
u7801
"
:
24
,
"
\
u751f
\
u6210
\
u6587
\
u6863
"
:
24
,
"
\
u751f
\
u6210api
\
u6587
\
u6863
"
:
24
,
"
\
u7531
\
u4e8ec
"
:
24
,
"
\
u7684
\
u547d
\
u540d
\
u98ce
\
u683c
\
u5e76
\
u4e0d
\
u80fd
\
u9002
\
u5e94
\
u5176
\
u4ed6
\
u7b2c
\
u4e09
\
u65b9
\
u8bed
\
u8a00
"
:
24
,
"
\
u7684
\
u5934
\
u6587
\
u4ef6
"
:
24
,
"
\
u7684
\
u63a5
\
u53e3
\
u6837
\
u5f0f
"
:
24
,
"
\
u7684
\
u6e90
\
u7801
\
u91cc
\
u4f7f
\
u7528
\
u4e86
"
:
24
,
"
\
u7684
\
u89c4
\
u8303
"
:
24
,
"
\
u76ee
\
u524d
\
u5d4c
\
u5165python
\
u89e3
\
u91ca
\
u5668
"
:
24
,
"
\
u76ee
\
u524dpaddle
\
u7684
\
u8fdb
\
u7a0b
\
u6a21
\
u578b
\
u662fc
"
:
24
,
"
\
u76f4
\
u63a5
\
u4f7f
\
u7528c
\
u8bed
\
u8a00
\
u7684
"
:
24
,
"
\
u76f4
\
u63a5
\
u5bfc
\
u51fa
\
u5230c
\
u7684
\
u63a5
\
u53e3
\
u6bd4
\
u8f83
\
u56f0
\
u96be
"
:
24
,
"
\
u793e
\
u533a
\
u53c2
\
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\
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\
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"
:
24
,
"
\
u793e
\
u533a
\
u8d21
\
u732e
\
u4ee3
\
u7801
\
u5b66
\
u4e60
\
u6210
\
u672c
\
u9ad8
"
:
24
,
"
\
u7c7b
\
u540d
\
u548cc
"
:
24
,
"
\
u7c7b
\
u578b
"
:
24
,
"
\
u7ea2
\
u697c
\
u68a6
"
:
48
,
"
\
u7ed3
\
u8bba
"
:
24
,
"
\
u7f16
\
u8bd1
\
u5668
\
u6ca1
\
u6709
"
:
24
,
"
\
u7f16
\
u8bd1
\
u578b
\
u8bed
\
u8a00
"
:
24
,
"
\
u800c
\
u4e0d
\
u652f
\
u6301pypy
\
u89e3
\
u91ca
\
u5668
"
:
24
,
"
\
u800c
\
u5728cpp
\
u91cc
\
u9762
\
u5b9e
\
u73b0
\
u8fd9
\
u4e2ac
\
u7684
\
u63a5
\
u53e3
"
:
24
,
"
\
u800c
\
u591a
\
u8bed
\
u8a00
\
u63a5
\
u53e3
\
u9700
\
u8981
\
u76f4
\
u63a5
\
u8bfb
\
u53d6
\
u751f
\
u6210
\
u7684
\
u4e8c
\
u8fdb
\
u5236
"
:
24
,
"
\
u800c
\
u5bf9
\
u4e8egolang
"
:
24
,
"
\
u800c
\
u5bf9
\
u4e8egolang
\
u9519
\
u8bef
\
u5904
\
u7406
\
u5e94
\
u8be5
\
u4f7f
\
u7528
\
u8fd4
\
u56de
\
u503c
"
:
24
,
"
\
u800cswig
\
u53ea
\
u80fd
\
u7b80
\
u5355
\
u7684
\
u66b4
\
u9732c
"
:
24
,
"
\
u826f
\
u597d
\
u7684
\
u6587
\
u6863
"
:
24
,
"
\
u89e3
\
u91ca
\
u578b
\
u8bed
\
u8a00
\
u53ea
\
u80fd
\
u8c03
\
u7528
\
u52a8
\
u6001
\
u5e93
"
:
24
,
"
\
u89e3
\
u91ca
\
u6027
\
u8bed
\
u8a00
\
u5b9e
\
u9645
\
u8fd0
\
u884c
\
u7684
\
u4e8c
\
u8fdb
\
u5236
\
u662f
\
u89e3
\
u91ca
\
u5668
\
u672c
\
u8eab
"
:
24
,
"
\
u8fd9
\
u4e2a
\
u63a5
\
u53e3
\
u9700
\
u8981
\
u505a
\
u5230
"
:
24
,
"
\
u8fd9
\
u4e2a
\
u6587
\
u4ef6
\
u5177
\
u6709
\
u72ec
\
u7279
\
u7684
\
u8bed
\
u6cd5
"
:
24
,
"
\
u8fd9
\
u5bf9
\
u4e8e
\
u901a
\
u5e38
\
u7684java
\
u7684
\
u5f00
\
u53d1
\
u8005
\
u6765
\
u8bf4
"
:
24
,
"
\
u8fd9
\
u662f
\
u56e0
\
u4e3a
"
:
24
,
"
\
u8fd9
\
u90fd
\
u9700
\
u8981
\
u8fd9
\
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\
u63a5
\
u53e3
\
u6309
\
u7167
\
u7ea6
\
u5b9a
\
u4fd7
\
u6210
\
u7684
\
u89c4
\
u5219
\
u6765
\
u6ce8
\
u91ca
\
u5b8c
\
u5907
"
:
24
,
"
\
u90fd
\
u662fabi
\
u8c03
\
u7528
\
u6807
\
u51c6
\
u7684
"
:
24
,
"
\
u91cc
\
u6240
\
u6709
\
u7684
\
u7b26
\
u53f7
\
u90fd
\
u5199
\
u5165
\
u81ea
\
u5df1
\
u7684
\
u7a0b
\
u5e8f
\
u7684
\
u4e8c
\
u8fdb
\
u5236
\
u6587
\
u4ef6
\
u91cc
"
:
24
,
"
\
u91cd
\
u547d
\
u540d
\
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"
:
24
,
"
\
u94fe
\
u63a5
\
u5230
\
u81ea
\
u5df1
\
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\
u7a0b
\
u5e8f
\
u91cc
"
:
24
,
"
\
u9519
\
u8bef
\
u5904
\
u7406
"
:
24
,
"
\
u9519
\
u8bef
\
u5904
\
u7406
\
u65b9
\
u5f0f
\
u662f
\
u8fd4
\
u56de
\
u503c
"
:
24
,
"
\
u9519
\
u8bef
\
u5904
\
u7406
\
u7684
\
u65b9
\
u5f0f
\
u4e5f
\
u4e0d
\
u5c3d
\
u76f8
\
u540c
"
:
24
,
"
\
u9700
\
u8981
\
u6709
\
u7a33
\
u5b9a
\
u7684
\
u5bfc
\
u51fa
\
u7b26
\
u53f7
"
:
24
,
"
\
ufb01xed
"
:
58
,
"
abstract
"
:[
35
,
40
],
"
api
\
u4e2d
\
u4f7f
\
u7528
"
:
24
,
"
boolean
"
:[
10
,
16
,
24
],
"
break
"
:
53
,
"
c99
\
u662f
\
u76ee
\
u524dc
\
u6700
\
u5e7f
\
u6cdb
\
u7684
\
u4f7f
\
u7528
\
u6807
\
u51c6
"
:
24
,
"
c
\
u6709
\
u6807
\
u51c6
\
u7684abi
"
:
24
,
"
c
\
u8bed
\
u8a00
\
u662f
\
u6709
\
u5bfc
\
u51fa
\
u7b26
\
u53f7
\
u7684
\
u6807
\
u51c6
\
u7684
"
:
24
,
"
case
"
:[
10
,
16
,
25
,
26
,
33
,
34
,
35
,
37
,
41
,
43
,
49
,
53
],
"
char
"
:
55
,
"
class
"
:[
5
,
7
,
10
,
12
,
14
,
15
,
16
,
17
,
19
,
20
,
23
,
24
,
39
,
50
,
57
],
"
const
"
:
35
,
"
default
"
:[
3
,
7
,
9
,
10
,
11
,
12
,
15
,
16
,
17
,
19
,
20
,
22
,
23
,
28
,
38
,
40
,
42
,
43
,
44
,
53
,
55
,
57
,
58
],
"
export
"
:[
27
,
28
,
50
],
"
final
"
:[
11
,
17
,
26
,
27
,
35
,
55
,
57
],
"
float
"
:[
3
,
7
,
9
,
10
,
12
,
15
,
16
,
20
,
26
,
35
,
37
,
42
,
48
,
51
,
55
],
"
function
"
:[
3
,
5
,
8
,
10
,
11
,
12
,
16
,
17
,
20
,
23
,
25
,
26
,
33
,
35
,
37
,
38
,
40
,
49
,
50
,
53
,
56
,
57
,
58
],
"
golang
\
u53ef
\
u4ee5
\
u4f7f
\
u7528
"
:
24
,
"
golang
\
u7684
"
:
24
,
"
h
\
u5e76
\
u4e0d
\
u56f0
\
u96be
"
:
24
,
"
import
"
:[
3
,
5
,
9
,
10
,
16
,
23
,
26
,
28
,
33
,
37
,
43
,
48
,
49
,
50
,
51
,
53
,
55
,
57
,
58
],
"
int
"
:[
3
,
7
,
9
,
10
,
11
,
12
,
15
,
16
,
17
,
20
,
24
,
25
,
35
,
42
,
53
,
55
,
56
],
"
interface
\
u6587
\
u4ef6
\
u7684
\
u5199
\
u6cd5
\
u975e
\
u5e38
"
:
24
,
"
long
"
:[
2
,
10
,
11
,
16
,
17
,
20
,
28
,
37
,
56
,
57
],
"
new
"
:[
3
,
10
,
16
,
20
,
25
,
34
,
36
,
43
,
44
,
49
,
53
,
56
,
57
],
"
null
"
:[
10
,
35
,
40
,
55
],
"
paddle
\
u4e00
\
u4e2a
\
u52a8
\
u6001
\
u5e93
\
u53ef
\
u4ee5
\
u5728
\
u4efb
\
u4f55linux
\
u7cfb
\
u7edf
\
u4e0a
\
u8fd0
\
u884c
"
:
24
,
"
paddle
\
u5185
\
u5d4c
\
u7684python
\
u89e3
\
u91ca
\
u5668
\
u548c
\
u5916
\
u90e8
\
u4f7f
\
u7528
\
u7684python
\
u5982
\
u679c
\
u7248
\
u672c
\
u4e0d
\
u540c
"
:
24
,
"
paddle
\
u5185
\
u90e8
\
u7684
\
u7c7b
\
u4e3ac
"
:
24
,
"
paddle
\
u7684
\
u591a
\
u8bed
\
u8a00
\
u63a5
\
u53e3
\
u5b9e
\
u73b0
\
u5305
\
u62ec
\
u4e00
\
u4e0b
\
u51e0
\
u4e2a
\
u65b9
\
u9762
"
:
24
,
"
paddle
\
u7684
\
u94fe
\
u63a5
\
u65b9
\
u5f0f
\
u6bd4
\
u8f83
\
u590d
\
u6742
"
:
24
,
"
paddle
\
u9700
\
u8981
\
u4e00
\
u4e2a
\
u591a
\
u8bed
\
u8a00
\
u63a5
\
u53e3
"
:
24
,
"
paddle
\
u9759
\
u6001
\
u5e93
\
u94fe
\
u63a5
\
u590d
\
u6742
"
:
24
,
"
public
"
:[
35
,
38
,
43
,
44
,
57
],
"
return
"
:[
3
,
8
,
9
,
10
,
11
,
16
,
17
,
19
,
20
,
22
,
23
,
26
,
33
,
35
,
43
,
49
,
51
,
53
,
54
,
55
,
58
],
"
short
"
:[
10
,
11
,
16
,
17
,
26
,
55
,
56
,
57
],
"
static
"
:[
10
,
43
],
"
super
"
:
35
,
"
swig
\
u652f
\
u6301
\
u7684
\
u8bed
\
u8a00
\
u6216
\
u8005
\
u89e3
\
u91ca
\
u5668
\
u6709
\
u5c40
\
u9650
"
:
24
,
"
swig
\
u66b4
\
u9732
\
u7684
\
u63a5
\
u53e3
\
u4fdd
\
u7559
\
u4e86c
"
:
24
,
"
swig
\
u751f
\
u6210
\
u7684
\
u4ee3
\
u7801
\
u4e0d
\
u80fd
\
u4fdd
\
u8bc1
\
u591a
\
u8bed
\
u8a00
\
u4ee3
\
u7801
\
u98ce
\
u683c
\
u7684
\
u4e00
\
u81f4
\
u6027
"
:
24
,
"
swig
\
u76f4
\
u63a5
\
u8bfb
\
u53d6c
"
:
24
,
"
swig
\
u9700
\
u8981
\
u5199
\
u4e00
\
u4e2ainterface
\
u6587
\
u4ef6
"
:
24
,
"
switch
"
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15
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19
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23
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25
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26
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outter_kwarg
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overhead
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overlap
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pacakg
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padding_attr
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padding_i
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paddle_error
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paddle_matrix
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paddle_matrix_shap
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paddle_n
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paddle_output
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paddle_port
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paddle_ports_num
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paddle_ports_num_for_spars
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paddle_pserver2
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paddle_root
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paddle_source_root
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paddle_train
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paddledev
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paddlepaddl
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paddlepadl
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paddlpaddl
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paddpepaddl
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page
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pair
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palmer
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paper
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paraconvert
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paragraph
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parallel
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parallel_nn
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param
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param_attr
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paramattr
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paramet
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parameter_attribut
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parameter_block_s
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parameter_block_size_for_spars
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parameter_learning_r
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parameter_nam
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parameter_serv
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parameterattribut
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parametermap
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parameters_
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parameterset
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parametris
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paramt
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paramutil
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paraphras
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paraphrase_data
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paraphrase_model
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paraspars
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parent
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pars
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55
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parse_config
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parser
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part
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parti
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partial
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participl
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particular
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partit
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pass
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pass_idx
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pass_test
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passtyp
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password
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past
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path
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9
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25
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,
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,
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,
53
,
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,
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,
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pattern
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,
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paul
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pave
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pdf
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pem
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penn
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per
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perfom
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perform
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17
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39
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57
,
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period
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56
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57
,
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perl
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permiss
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peroid
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persist
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persistentvolum
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persistentvolumeclaim
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43
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person
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perspect
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37
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perturb
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35
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pgp
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phase
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photo
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pick
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pickl
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picklabl
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pictur
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piec
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pillow
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pip
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50
,
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pipe
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pipelin
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pixel
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pixels_float
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pixels_str
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place
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,
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placehold
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plai
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plain
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plan
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platform
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pleas
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plot
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plotcurv
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png
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pnpairvalidationlay
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pnpairvalidationpredict_fil
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pod
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pod_nam
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point
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28
,
37
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polar
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polici
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polit
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poll
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poo
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pool3
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pool
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pool_attr
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pool_bias_attr
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pool_layer_attr
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pool_pad
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pool_siz
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pool_size_i
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pool_strid
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pool_typ
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pooling_lay
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,
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pooling_typ
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poolingtyp
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popular
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port
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,
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,
39
,
40
,
43
,
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],
port_num
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ports_num
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ports_num_for_spars
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,
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],
pos
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,
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],
posit
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,
10
,
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,
20
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,
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,
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,
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],
positive_label
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possibl
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,
37
,
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post1
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potenti
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power
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,
58
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practic
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16
,
26
,
33
,
35
],
pre
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11
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17
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23
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,
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,
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,
50
,
56
,
57
,
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],
pre_dictandmodel
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precis
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,
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],
pred
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,
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predefin
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predetermin
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40
,
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predic
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predicate_dict
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56
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predicate_dict_fil
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predicate_slot
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predict
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4
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9
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10
,
12
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16
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22
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26
,
33
,
38
,
40
,
48
,
53
,
58
],
predict_fil
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40
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predict_output_dir
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39
,
40
,
53
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predict_sampl
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5
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predicted_label_id
:
53
,
predictor
:
55
,
predin
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50
,
prefer
:
57
,
prefetch
:
35
,
prefix
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43
,
pregrad
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35
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preinstal
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27
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premodel
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48
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prepar
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,
31
,
45
,
53
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preprcess
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,
preprocess
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20
,
33
,
38
,
44
,
57
],
prerequisit
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present
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23
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51
,
56
,
58
],
pretti
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26
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prev_batch_st
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39
,
40
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prevent
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12
,
23
],
previou
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11
,
16
,
17
,
35
,
40
,
43
,
56
,
58
],
previous
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44
,
51
],
price
:
26
,
primari
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16
,
primarili
:
57
,
principl
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23
,
print
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7
,
15
,
22
,
23
,
26
,
33
,
40
,
48
,
53
,
55
,
56
,
57
,
58
],
printallstatu
:
37
,
printer
:
9
,
printstatu
:
37
,
prite
:
9
,
privileg
:
43
,
prob
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9
,
49
],
probabilist
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10
,
16
,
48
],
probability_of_label_0
:
53
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probability_of_label_1
:
53
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probabl
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9
,
10
,
16
,
22
,
33
,
34
,
51
,
53
,
56
],
problem
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5
,
10
,
12
,
16
,
23
,
31
,
53
,
56
,
57
],
proc
:
28
,
proc_from_raw_data
:
53
,
proce
:[
20
,
25
,
43
],
procedur
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48
,
56
,
58
],
proceed
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10
,
16
,
56
],
process
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2
,
3
,
5
,
7
,
8
,
10
,
11
,
12
,
15
,
16
,
17
,
23
,
26
,
33
,
38
,
40
,
42
,
43
,
44
,
48
,
50
,
51
,
53
,
55
,
56
,
57
,
58
],
process_pr
:
53
,
process_test
:
8
,
process_train
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8
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processdata
:[
50
,
51
],
processor
:
37
,
produc
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11
,
17
,
20
,
25
,
28
,
51
,
53
],
product
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0
,
35
,
43
,
53
,
57
],
productgraph
:
44
,
profil
:
27
,
proflier
:
37
,
program
:[
2
,
20
,
23
,
25
,
37
,
38
,
40
],
programm
:
54
,
progress
:
40
,
proivid
:
3
,
proj
:[
10
,
16
],
project
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10
,
11
,
16
,
17
,
27
,
33
,
35
,
55
],
promis
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10
,
11
,
17
],
prompt
:
34
,
prone
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23
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prop
:
56
,
propag
:[
12
,
40
,
42
],
properli
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53
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properti
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3
,
40
],
propos
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58
,
proposit
:
56
,
protect
:
35
,
proto
:
19
,
protobuf
:
27
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protocol
:
40
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prove
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53
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proven
:
58
,
provid
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0
,
8
,
10
,
16
,
20
,
23
,
26
,
33
,
37
,
38
,
43
,
48
,
49
,
50
,
51
,
54
,
57
],
providermemory_threshold_on_load_data
:
39
,
provis
:
43
,
provod
:
3
,
prune
:
10
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pserver
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38
,
39
,
40
,
43
],
pserver_num_thread
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39
,
40
],
pserverstart_pserv
:
39
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pseudo
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23
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psize
:
35
,
pull
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48
,
58
],
punctuat
:
57
,
purchas
:
53
,
purpos
:[
0
,
37
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push_back
:
35
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put
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35
,
38
,
44
,
53
],
pvc
:
43
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pwd
:
28
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py_paddl
:[
5
,
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xgbe1
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xiaojun
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xrang
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xxbow
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xxx
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xxxxxxxxx
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xxxxxxxxxx
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xxxxxxxxxxxxx
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xxxxxxxxxxxxxxxxxxx
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xzf
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y_i
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year
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you
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your
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,
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,
23
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your_access_key_id
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your_secrete_access_kei
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yum
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yuyang18
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yyi
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zachari
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zeng
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zero
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zhidao
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titles
:[
"
ABOUT
"
,
"
API
"
,
"
Introduction
"
,
"
PyDataProvider2
"
,
"
API
"
,
"
Python Prediction
"
,
"
Activations
"
,
"
Parameter Attributes
"
,
"
DataSources
"
,
"
Evaluators
"
,
"
Layers
"
,
"
Networks
"
,
"
Optimizers
"
,
"
Poolings
"
,
"
Activation
"
,
"
Parameter Attribute
"
,
"
Layers
"
,
"
Networks
"
,
"
Optimizer
"
,
"
Pooling
"
,
"
Datasets
"
,
"
Model Configuration
"
,
"
Training and Inference
"
,
"
PaddlePaddle Design Doc
"
,
"
Paddle
\
u591a
\
u8bed
\
u8a00
\
u63a5
\
u53e3
\
u5b9e
\
u73b0
"
,
"
Python Data Reader Design Doc
"
,
"
Simple Linear Regression
"
,
"
Installing from Sources
"
,
"
PaddlePaddle in Docker Containers
"
,
"
Install and Build
"
,
"
Debian Package installation guide
"
,
"
GET STARTED
"
,
"
RNN Models
"
,
"
RNN Configuration
"
,
"
Contribute Code
"
,
"
Write New Layers
"
,
"
HOW TO
"
,
"
Tune GPU Performance
"
,
"
Run Distributed Training
"
,
"
Argument Outline
"
,
"
Detail Description
"
,
"
Set Command-line Parameters
"
,
"
Use Case
"
,
"
Distributed PaddlePaddle Training on AWS with Kubernetes
"
,
"
Paddle On Kubernetes
"
,
"
<no title>
"
,
"
<no title>
"
,
"
PaddlePaddle Documentation
"
,
"
Chinese Word Embedding Model Tutorial
"
,
"
Generative Adversarial Networks (GAN)
"
,
"
Image Classification Tutorial
"
,
"
Model Zoo - ImageNet
"
,
"
TUTORIALS
"
,
"
Quick Start
"
,
"
MovieLens Dataset
"
,
"
Regression MovieLens Ratting
"
,
"
Semantic Role labeling Tutorial
"
,
"
Sentiment Analysis Tutorial
"
,
"
Text generation Tutorial
"
],
titleterms
:{
"
\
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\
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\
u7528
"
:
24
,
"
\
u4e0d
\
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"
:
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:
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"
:
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"
\
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\
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"
:
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"
\
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\
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\
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\
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\
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:
24
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case
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class
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:
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function
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48
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new
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paddle
\
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paddle
\
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\
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\
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\
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\
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"
:
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,
"
return
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:
25
,
AWS
:
43
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Abs
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14
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DNS
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43
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EFS
:
43
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For
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KMS
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Use
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Using
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about
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adagradoptim
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adamax
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address
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argument
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asset
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associ
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async
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attent
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33
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attribut
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7
,
15
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auc_evalu
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9
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avg
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19
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avgpool
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13
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avx
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28
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aws
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43
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background
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26
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base
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9
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10
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6
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basepool
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19
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13
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12
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batch
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25
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batch_norm
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16
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batch_norm_lay
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10
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batch_siz
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23
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57
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bidirectional_lstm
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10
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bleu
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block_expand_lay
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book
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14
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27
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built
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chines
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choos
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cifar
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classif
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,
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command
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,
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commit
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concept
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configur
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convolut
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core
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cost
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cpu
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creat
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creator
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credenti
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credit
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ctc
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16
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ctc_error_evalu
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ctc_layer
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cudnnavg
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cudnnmax
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custom
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dat
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data
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data_lay
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datasourc
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datatyp
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date
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entri
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eos
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evalu
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exp
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fc_layer
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Search
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setIndex
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docnames
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"
about/index_en
"
,
"
api/index_en
"
,
"
api/v1/data_provider/dataprovider_en
"
,
"
api/v1/data_provider/pydataprovider2_en
"
,
"
api/v1/index_en
"
,
"
api/v1/predict/swig_py_paddle_en
"
,
"
api/v1/trainer_config_helpers/activations
"
,
"
api/v1/trainer_config_helpers/attrs
"
,
"
api/v1/trainer_config_helpers/data_sources
"
,
"
api/v1/trainer_config_helpers/evaluators
"
,
"
api/v1/trainer_config_helpers/layers
"
,
"
api/v1/trainer_config_helpers/networks
"
,
"
api/v1/trainer_config_helpers/optimizers
"
,
"
api/v1/trainer_config_helpers/poolings
"
,
"
api/v2/config/activation
"
,
"
api/v2/config/attr
"
,
"
api/v2/config/layer
"
,
"
api/v2/config/networks
"
,
"
api/v2/config/optimizer
"
,
"
api/v2/config/pooling
"
,
"
api/v2/data
"
,
"
api/v2/model_configs
"
,
"
api/v2/run_logic
"
,
"
design/api
"
,
"
design/multi_language_interface/why_plain_c
"
,
"
design/reader/README
"
,
"
getstarted/basic_usage/index_en
"
,
"
getstarted/build_and_install/build_from_source_en
"
,
"
getstarted/build_and_install/docker_install_en
"
,
"
getstarted/build_and_install/index_en
"
,
"
getstarted/build_and_install/ubuntu_install_en
"
,
"
getstarted/index_en
"
,
"
howto/deep_model/rnn/index_en
"
,
"
howto/deep_model/rnn/rnn_config_en
"
,
"
howto/dev/contribute_to_paddle_en
"
,
"
howto/dev/new_layer_en
"
,
"
howto/index_en
"
,
"
howto/optimization/gpu_profiling_en
"
,
"
howto/usage/cluster/cluster_train_en
"
,
"
howto/usage/cmd_parameter/arguments_en
"
,
"
howto/usage/cmd_parameter/detail_introduction_en
"
,
"
howto/usage/cmd_parameter/index_en
"
,
"
howto/usage/cmd_parameter/use_case_en
"
,
"
howto/usage/k8s/k8s_aws_en
"
,
"
howto/usage/k8s/k8s_en
"
,
"
howto/usage/k8s/src/k8s_data/README
"
,
"
howto/usage/k8s/src/k8s_train/README
"
,
"
index_en
"
,
"
tutorials/embedding_model/index_en
"
,
"
tutorials/gan/index_en
"
,
"
tutorials/image_classification/index_en
"
,
"
tutorials/imagenet_model/resnet_model_en
"
,
"
tutorials/index_en
"
,
"
tutorials/quick_start/index_en
"
,
"
tutorials/rec/ml_dataset_en
"
,
"
tutorials/rec/ml_regression_en
"
,
"
tutorials/semantic_role_labeling/index_en
"
,
"
tutorials/sentiment_analysis/index_en
"
,
"
tutorials/text_generation/index_en
"
],
envversion
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50
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filenames
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"
about/index_en.rst
"
,
"
api/index_en.rst
"
,
"
api/v1/data_provider/dataprovider_en.rst
"
,
"
api/v1/data_provider/pydataprovider2_en.rst
"
,
"
api/v1/index_en.rst
"
,
"
api/v1/predict/swig_py_paddle_en.rst
"
,
"
api/v1/trainer_config_helpers/activations.rst
"
,
"
api/v1/trainer_config_helpers/attrs.rst
"
,
"
api/v1/trainer_config_helpers/data_sources.rst
"
,
"
api/v1/trainer_config_helpers/evaluators.rst
"
,
"
api/v1/trainer_config_helpers/layers.rst
"
,
"
api/v1/trainer_config_helpers/networks.rst
"
,
"
api/v1/trainer_config_helpers/optimizers.rst
"
,
"
api/v1/trainer_config_helpers/poolings.rst
"
,
"
api/v2/config/activation.rst
"
,
"
api/v2/config/attr.rst
"
,
"
api/v2/config/layer.rst
"
,
"
api/v2/config/networks.rst
"
,
"
api/v2/config/optimizer.rst
"
,
"
api/v2/config/pooling.rst
"
,
"
api/v2/data.rst
"
,
"
api/v2/model_configs.rst
"
,
"
api/v2/run_logic.rst
"
,
"
design/api.md
"
,
"
design/multi_language_interface/why_plain_c.md
"
,
"
design/reader/README.md
"
,
"
getstarted/basic_usage/index_en.rst
"
,
"
getstarted/build_and_install/build_from_source_en.md
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,
"
getstarted/build_and_install/docker_install_en.rst
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,
"
getstarted/build_and_install/index_en.rst
"
,
"
getstarted/build_and_install/ubuntu_install_en.rst
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,
"
getstarted/index_en.rst
"
,
"
howto/deep_model/rnn/index_en.rst
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,
"
howto/deep_model/rnn/rnn_config_en.rst
"
,
"
howto/dev/contribute_to_paddle_en.md
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,
"
howto/dev/new_layer_en.rst
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u56de
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u503c
"
:
24
,
"
\
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\
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"
:
24
,
"
\
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\
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"
:
24
,
"
\
ufb01xed
"
:
58
,
"
abstract
"
:[
35
,
40
],
"
api
\
u4e2d
\
u4f7f
\
u7528
"
:
24
,
"
boolean
"
:[
10
,
16
,
24
],
"
break
"
:
53
,
"
c99
\
u662f
\
u76ee
\
u524dc
\
u6700
\
u5e7f
\
u6cdb
\
u7684
\
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\
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\
u6807
\
u51c6
"
:
24
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"
c
\
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\
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\
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"
:
24
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"
c
\
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\
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\
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\
u53f7
\
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\
u6807
\
u51c6
\
u7684
"
:
24
,
"
case
"
:[
10
,
16
,
25
,
26
,
33
,
34
,
35
,
37
,
41
,
43
,
49
,
53
],
"
char
"
:
55
,
"
class
"
:[
5
,
7
,
10
,
12
,
14
,
15
,
16
,
17
,
19
,
20
,
23
,
24
,
39
,
50
,
57
],
"
const
"
:
35
,
"
default
"
:[
3
,
7
,
9
,
10
,
11
,
12
,
15
,
16
,
17
,
19
,
20
,
22
,
23
,
28
,
38
,
40
,
42
,
43
,
44
,
53
,
55
,
57
,
58
],
"
export
"
:[
27
,
28
,
50
],
"
final
"
:[
11
,
17
,
26
,
27
,
35
,
55
,
57
],
"
float
"
:[
3
,
7
,
9
,
10
,
12
,
15
,
16
,
20
,
26
,
35
,
37
,
42
,
48
,
51
,
55
],
"
function
"
:[
3
,
5
,
8
,
10
,
11
,
12
,
16
,
17
,
20
,
23
,
25
,
26
,
33
,
35
,
37
,
38
,
40
,
49
,
50
,
53
,
56
,
57
,
58
],
"
golang
\
u53ef
\
u4ee5
\
u4f7f
\
u7528
"
:
24
,
"
golang
\
u7684
"
:
24
,
"
h
\
u5e76
\
u4e0d
\
u56f0
\
u96be
"
:
24
,
"
import
"
:[
3
,
5
,
9
,
10
,
16
,
23
,
26
,
28
,
33
,
37
,
43
,
48
,
49
,
50
,
51
,
53
,
55
,
57
,
58
],
"
int
"
:[
3
,
7
,
9
,
10
,
11
,
12
,
15
,
16
,
17
,
20
,
24
,
25
,
35
,
42
,
53
,
55
,
56
],
"
interface
\
u6587
\
u4ef6
\
u7684
\
u5199
\
u6cd5
\
u975e
\
u5e38
"
:
24
,
"
long
"
:[
2
,
10
,
11
,
16
,
17
,
20
,
28
,
37
,
56
,
57
],
"
new
"
:[
3
,
10
,
16
,
20
,
25
,
34
,
36
,
43
,
44
,
49
,
53
,
56
,
57
],
"
null
"
:[
10
,
35
,
40
,
55
],
"
paddle
\
u4e00
\
u4e2a
\
u52a8
\
u6001
\
u5e93
\
u53ef
\
u4ee5
\
u5728
\
u4efb
\
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\
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\
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\
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\
u8fd0
\
u884c
"
:
24
,
"
paddle
\
u5185
\
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\
u7684python
\
u89e3
\
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\
u5668
\
u548c
\
u5916
\
u90e8
\
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\
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\
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\
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\
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\
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\
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\
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"
:
24
,
"
paddle
\
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"
:
24
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"
paddle
\
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\
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\
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\
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\
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\
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\
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"
:
24
,
"
paddle
\
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\
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\
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"
:
24
,
"
paddle
\
u9700
\
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\
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\
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\
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\
u8a00
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u63a5
\
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"
:
24
,
"
paddle
\
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\
u6001
\
u5e93
\
u94fe
\
u63a5
\
u590d
\
u6742
"
:
24
,
"
public
"
:[
35
,
38
,
43
,
44
,
57
],
"
return
"
:[
3
,
8
,
9
,
10
,
11
,
16
,
17
,
19
,
20
,
22
,
23
,
26
,
33
,
35
,
43
,
49
,
51
,
53
,
54
,
55
,
58
],
"
short
"
:[
10
,
11
,
16
,
17
,
26
,
55
,
56
,
57
],
"
static
"
:[
10
,
43
],
"
super
"
:
35
,
"
swig
\
u652f
\
u6301
\
u7684
\
u8bed
\
u8a00
\
u6216
\
u8005
\
u89e3
\
u91ca
\
u5668
\
u6709
\
u5c40
\
u9650
"
:
24
,
"
swig
\
u66b4
\
u9732
\
u7684
\
u63a5
\
u53e3
\
u4fdd
\
u7559
\
u4e86c
"
:
24
,
"
swig
\
u751f
\
u6210
\
u7684
\
u4ee3
\
u7801
\
u4e0d
\
u80fd
\
u4fdd
\
u8bc1
\
u591a
\
u8bed
\
u8a00
\
u4ee3
\
u7801
\
u98ce
\
u683c
\
u7684
\
u4e00
\
u81f4
\
u6027
"
:
24
,
"
swig
\
u76f4
\
u63a5
\
u8bfb
\
u53d6c
"
:
24
,
"
swig
\
u9700
\
u8981
\
u5199
\
u4e00
\
u4e2ainterface
\
u6587
\
u4ef6
"
:
24
,
"
switch
"
:[
43
,
57
],
"
throw
"
:
43
,
"
true
"
:[
3
,
7
,
9
,
10
,
11
,
12
,
15
,
16
,
17
,
19
,
20
,
23
,
25
,
26
,
33
,
35
,
40
,
42
,
43
,
51
,
55
,
56
,
57
,
58
],
"
try
"
:[
12
,
25
,
37
,
49
,
55
],
"
void
"
:[
24
,
35
],
"
while
"
:[
2
,
3
,
7
,
9
,
15
,
20
,
25
,
33
,
40
,
49
,
53
,
57
,
58
],
AGE
:[
43
,
44
],
AND
:
55
,
ARE
:
55
,
AWS
:[
36
,
45
,
46
],
Abs
:
6
,
Age
:
54
,
And
:[
3
,
9
,
10
,
12
,
16
,
25
,
28
,
30
,
34
,
42
,
43
,
44
,
48
,
51
,
55
,
57
,
58
],
But
:[
3
,
10
,
11
,
16
,
17
],
EOS
:[
10
,
16
],
For
:[
2
,
3
,
8
,
9
,
10
,
12
,
16
,
20
,
23
,
25
,
26
,
27
,
28
,
33
,
35
,
37
,
38
,
39
,
40
,
42
,
48
,
50
,
51
,
53
,
57
,
58
],
Going
:
57
,
Has
:
3
,
IDs
:
53
,
Ids
:
53
,
Into
:
43
,
Its
:[
3
,
33
,
43
,
55
],
Not
:[
23
,
38
],
ONE
:
3
,
One
:[
9
,
10
,
11
,
17
,
33
,
35
,
40
,
49
,
53
,
57
,
58
],
QoS
:
44
,
THE
:
3
,
TLS
:[
23
,
43
],
That
:[
10
,
16
,
20
,
25
,
28
,
40
,
42
],
The
:[
2
,
3
,
5
,
7
,
8
,
9
,
10
,
11
,
12
,
14
,
15
,
16
,
17
,
20
,
22
,
23
,
25
,
26
,
27
,
28
,
29
,
30
,
33
,
34
,
35
,
37
,
38
,
40
,
42
,
43
,
44
,
48
,
49
,
50
,
51
,
53
,
54
,
55
,
56
,
57
,
58
],
Their
:[
3
,
10
,
16
],
Then
:[
5
,
10
,
27
,
28
,
33
,
34
,
35
,
37
,
43
,
44
,
48
,
50
,
55
,
56
,
57
],
There
:[
9
,
10
,
16
,
22
,
23
,
26
,
30
,
37
,
43
,
49
,
50
,
51
,
52
,
53
,
55
,
58
],
These
:[
38
,
42
,
50
,
56
],
USE
:
55
,
USING
:
55
,
Use
:[
3
,
23
,
25
,
35
,
37
,
40
,
41
,
43
,
55
],
Used
:[
11
,
17
],
Useful
:
3
,
Using
:[
44
,
57
],
VPS
:
43
,
WITH
:
34
,
Will
:
20
,
With
:[
3
,
10
,
11
,
16
,
17
,
26
,
49
,
56
],
Yes
:
28
,
___fc_layer_0__
:
43
,
__init__
:
35
,
__list_to_map__
:
55
,
__main__
:
51
,
__meta__
:
55
,
__name__
:
51
,
__rnn_step__
:
33
,
_error
:
49
,
_link
:[
11
,
17
],
_proj
:[
10
,
16
],
_res2_1_branch1_bn
:
51
,
_source_language_embed
:[
33
,
48
],
_target_language_embed
:[
33
,
48
],
aaaaaaaaaaaaa
:
43
,
abc
:[
10
,
16
],
abl
:[
10
,
16
,
23
,
49
,
57
],
about
:[
5
,
10
,
11
,
16
,
17
,
26
,
28
,
37
,
39
,
40
,
43
,
47
,
56
,
57
,
58
],
abov
:[
3
,
5
,
10
,
16
,
23
,
26
,
28
,
37
,
43
,
44
,
49
,
51
,
53
,
56
],
abs
:[
11
,
17
,
49
],
absolut
:[
2
,
38
],
academ
:
54
,
acceler
:
42
,
accept
:[
3
,
5
,
20
,
23
,
25
,
53
,
56
],
acceptor
:
56
,
access
:[
2
,
10
,
11
,
17
,
23
,
33
,
58
],
accessmod
:
43
,
accident
:
54
,
accord
:[
2
,
3
,
9
,
10
,
16
,
33
,
34
,
38
,
39
,
40
,
42
],
accordingli
:[
5
,
35
],
accordingto
:
56
,
accrod
:[
11
,
17
],
accuraci
:[
9
,
35
,
53
,
54
,
57
],
achiev
:[
37
,
50
],
ack
:
40
,
acl
:
57
,
aclimdb
:
57
,
aclimdb_v1
:
20
,
across
:[
10
,
16
],
act
:[
10
,
11
,
16
,
17
,
26
,
33
,
53
],
act_typ
:
53
,
action
:[
43
,
54
],
activ
:[
0
,
4
,
5
,
10
,
11
,
16
,
17
,
21
,
26
,
27
,
35
,
40
,
53
,
57
],
activi
:[
11
,
17
],
actual
:[
3
,
10
,
16
,
26
,
28
],
adadelta
:[
12
,
53
],
adagrad
:[
12
,
53
],
adam
:[
12
,
23
,
53
,
57
,
58
],
adamax
:[
12
,
53
],
adamoptim
:[
48
,
53
,
57
,
58
],
adapt
:[
9
,
12
,
26
,
57
,
58
],
add
:[
3
,
10
,
11
,
16
,
17
,
20
,
26
,
27
,
34
,
35
,
37
,
42
,
53
,
55
],
add_input
:
35
,
add_test
:
35
,
add_to
:[
10
,
16
],
add_unittest_without_exec
:
35
,
addbia
:
35
,
added
:[
3
,
9
,
35
],
adding
:
51
,
addit
:[
10
,
11
,
16
,
17
,
28
,
53
],
address
:[
28
,
37
,
40
],
addrow
:
35
,
addtion
:
38
,
addto
:
10
,
addtolay
:[
10
,
16
],
adject
:
57
,
adjust
:
26
,
admin
:
54
,
adopt
:
56
,
advanc
:[
33
,
37
,
40
],
advantag
:[
28
,
57
],
adventur
:
54
,
adverb
:
57
,
adversari
:
25
,
advic
:
37
,
affect
:[
10
,
16
],
afi
:
3
,
aforement
:
38
,
after
:[
10
,
16
,
27
,
30
,
33
,
35
,
38
,
40
,
42
,
43
,
44
,
49
,
50
,
51
,
53
,
55
,
56
,
57
,
58
],
again
:[
23
,
37
],
against
:
43
,
age
:
55
,
agg_level
:[
10
,
16
],
aggreg
:
43
,
aggregatelevel
:[
10
,
16
],
aid
:
37
,
aim
:[
57
,
58
],
aircraft
:
58
,
airplan
:
50
,
aistat
:[
10
,
16
],
alex
:[
10
,
16
,
57
],
alexnet_pass1
:
42
,
alexnet_pass2
:
42
,
algorithm
:[
10
,
12
,
16
,
26
,
33
,
48
,
50
,
57
,
58
],
alia
:[
6
,
7
,
13
,
14
,
15
],
align
:[
10
,
11
,
16
,
17
,
20
,
58
],
all
:[
0
,
3
,
7
,
9
,
10
,
12
,
15
,
16
,
22
,
23
,
26
,
28
,
33
,
34
,
35
,
37
,
38
,
39
,
40
,
42
,
43
,
44
,
48
,
49
,
51
,
53
,
54
,
55
,
56
,
57
,
58
],
alloc
:[
7
,
15
,
35
,
42
],
allow
:[
23
,
28
,
34
,
35
,
37
,
40
,
43
,
53
],
allow_only_one_model_on_one_gpu
:[
39
,
40
,
42
],
almost
:[
11
,
17
,
26
,
38
,
48
],
along
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pipelin
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pixel
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pixels_float
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place
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placehold
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plan
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plot
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plotcurv
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png
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pnpairvalidationlay
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pnpairvalidationpredict_fil
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pod
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pod_nam
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point
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polar
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polici
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polit
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poll
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poo
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pool3
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pool
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pool_attr
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pool_bias_attr
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pool_layer_attr
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pool_pad
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pool_siz
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pool_size_i
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pool_strid
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pool_typ
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pooling_lay
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pooling_typ
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poolingtyp
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popular
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port
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port_num
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ports_num
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pos
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positive_label
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possibl
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post1
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potenti
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power
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practic
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pre
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pre_dictandmodel
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precis
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pred
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predefin
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predetermin
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predic
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predicate_dict
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predicate_dict_fil
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predicate_slot
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predict
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predict_fil
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predict_output_dir
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predict_sampl
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predicted_label_id
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predictor
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predin
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prefer
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prefetch
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prefix
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pregrad
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preinstal
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premodel
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prepar
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preprcess
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preprocess
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prerequisit
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present
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pretti
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prev_batch_st
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prevent
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previou
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previous
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price
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primari
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primarili
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principl
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print
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printallstatu
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printer
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printstatu
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prite
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privileg
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prob
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probabilist
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probability_of_label_0
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probability_of_label_1
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probabl
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10
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16
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22
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33
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34
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51
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53
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problem
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10
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12
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16
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23
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31
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53
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56
,
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proc
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proc_from_raw_data
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proce
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20
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25
,
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procedur
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,
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proceed
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process
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8
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15
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23
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26
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43
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process_pr
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process_test
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process_train
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processdata
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processor
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produc
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17
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20
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25
,
28
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51
,
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product
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35
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43
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53
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productgraph
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44
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profil
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27
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proflier
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37
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program
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20
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23
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25
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37
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38
,
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programm
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progress
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proivid
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proj
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project
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11
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17
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33
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promis
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prompt
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prone
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prop
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propag
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properli
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properti
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propos
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proposit
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protect
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proto
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protobuf
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protocol
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proven
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provid
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37
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,
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providermemory_threshold_on_load_data
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39
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provis
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43
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provod
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prune
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pserver
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39
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40
,
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pserver_num_thread
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40
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pserverstart_pserv
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pseudo
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psize
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pull
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punctuat
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purchas
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purpos
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push_back
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put
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,
44
,
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pvc
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pwd
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py_paddl
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20
,
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pydataprovid
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3
,
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pydataprovider2
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5
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26
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33
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53
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55
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pydataproviderwrapp
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pyramid
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16
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pyramid_height
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python
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3
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4
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8
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16
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22
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23
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26
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27
,
28
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34
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38
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50
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pythonpath
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pzo
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57
,
qualifi
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27
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qualiti
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53
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queri
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16
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,
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question
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16
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23
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43
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quick
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44
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52
,
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quick_start
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,
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quick_start_data
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44
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quickli
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quickstart
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quit
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37
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quot
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rac
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10
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rais
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20
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ramnath
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ran
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rand
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random
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7
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20
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25
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40
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50
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randomli
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randomnumberse
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rang
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10
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16
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20
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25
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40
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42
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50
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54
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rank
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16
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23
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43
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51
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rare
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rate
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9
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12
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15
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35
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38
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50
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53
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55
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57
,
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rather
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43
,
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ratio
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raw
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raw_meta
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rdma
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40
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rdma_tcp
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reach
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read
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3
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20
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23
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25
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26
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33
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38
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43
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,
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read_from_realistic_imag
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read_from_rng
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23
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read_mnist_imag
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23
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read_ranking_model_data
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23
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reader
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22
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reader_creator_bool
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reader_creator_random_imag
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20
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reader_creator_random_image_and_label
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25
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reader_dict
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readi
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43
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44
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readm
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55
,
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readonesamplefromfil
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3
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readwritemani
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real
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25
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26
,
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realist
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reason
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11
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17
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23
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28
,
44
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rebas
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recal
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9
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receiv
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8
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recent
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58
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reciev
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40
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recogn
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recognit
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10
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16
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51
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recommand
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recommend
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11
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17
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23
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33
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35
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38
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40
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recommonmark
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recompil
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record
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recordio
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recov
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rectangular
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recurr
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recurrent_group
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17
,
33
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recurrent_lay
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11
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recurrentgroup
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9
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recurrentlay
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40
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recurs
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28
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recv
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reduc
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12
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38
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40
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refer
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5
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10
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16
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17
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33
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,
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referenc
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regard
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,
regardless
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regex
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region
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regist
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register_gpu_profil
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37
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register_lay
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35
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register_timer_info
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registri
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regress
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31
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regular
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12
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15
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35
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43
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50
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53
,
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rel
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11
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17
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38
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relat
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8
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30
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44
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55
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57
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relationship
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49
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releas
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28
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30
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43
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54
,
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relev
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reli
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27
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relu
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10
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16
,
35
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reluactiv
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10
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remain
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53
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rememb
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10
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remot
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15
,
28
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34
,
35
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38
,
40
,
42
,
43
],
remoteparameterupdat
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40
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remov
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20
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38
,
40
,
57
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renam
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58
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reorgan
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10
,
16
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repeat
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10
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replac
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57
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repo
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34
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report
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37
,
38
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repositori
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34
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repres
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5
,
10
,
12
,
16
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33
,
35
,
43
,
50
,
53
,
54
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represent
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53
,
57
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reproduc
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58
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request
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43
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44
,
48
,
58
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requir
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9
,
10
,
16
,
23
,
35
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38
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43
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44
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49
,
50
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53
,
55
],
requrest
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34
,
res5_3_branch2c_bn
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51
,
res5_3_branch2c_conv
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51
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res
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56
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research
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10
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16
,
50
,
54
,
57
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resembl
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57
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reserv
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3
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reserveoutput
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35
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reset
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10
,
16
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reshap
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25
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reshape_s
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10
,
16
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residu
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51
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resnet
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52
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resnet_101
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51
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resnet_152
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51
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resnet_50
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51
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resolv
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34
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44
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resourc
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28
,
43
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respect
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26
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33
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35
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40
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50
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51
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56
,
58
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respons
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16
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43
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44
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rest
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3
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10
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16
,
26
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restart
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43
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44
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restartpolici
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43
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44
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restrict
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40
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resu
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25
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result
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9
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10
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14
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16
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22
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33
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37
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40
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43
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50
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51
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53
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55
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56
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result_fil
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33
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ret_val
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55
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retir
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retran
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43
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retriev
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35
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44
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return_seq
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11
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17
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reus
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25
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35
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reveal
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23
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revers
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11
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16
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17
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33
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56
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review
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34
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44
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53
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57
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reviews_electronics_5
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44
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revis
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53
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rewrit
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58
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rgb
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10
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16
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rgen
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rho
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12
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rich
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26
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right
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10
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16
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51
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rmsprop
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12
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53
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rmspropoptim
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55
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rnn
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11
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17
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36
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39
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53
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rnn_bias_attr
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rnn_layer_attr
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33
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rnn_out
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rnn_step
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rnn_use_batch
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rnnlm
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robot
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role
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23
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33
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43
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52
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roman
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57
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romanc
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root
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28
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38
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43
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root_dir
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38
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rot
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16
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rotat
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roughli
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routin
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routledg
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row
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10
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35
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51
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row_id
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rsize
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rtype
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rule
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run
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runinitfunct
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stdout
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titles
:[
"
ABOUT
"
,
"
API
"
,
"
Introduction
"
,
"
PyDataProvider2
"
,
"
API
"
,
"
Python Prediction
"
,
"
Activations
"
,
"
Parameter Attributes
"
,
"
DataSources
"
,
"
Evaluators
"
,
"
Layers
"
,
"
Networks
"
,
"
Optimizers
"
,
"
Poolings
"
,
"
Activation
"
,
"
Parameter Attribute
"
,
"
Layers
"
,
"
Networks
"
,
"
Optimizer
"
,
"
Pooling
"
,
"
Datasets
"
,
"
Model Configuration
"
,
"
Training and Inference
"
,
"
PaddlePaddle Design Doc
"
,
"
Paddle
\
u591a
\
u8bed
\
u8a00
\
u63a5
\
u53e3
\
u5b9e
\
u73b0
"
,
"
Python Data Reader Design Doc
"
,
"
Simple Linear Regression
"
,
"
Installing from Sources
"
,
"
PaddlePaddle in Docker Containers
"
,
"
Install and Build
"
,
"
Debian Package installation guide
"
,
"
GET STARTED
"
,
"
RNN Models
"
,
"
RNN Configuration
"
,
"
Contribute Code
"
,
"
Write New Layers
"
,
"
HOW TO
"
,
"
Tune GPU Performance
"
,
"
Run Distributed Training
"
,
"
Argument Outline
"
,
"
Detail Description
"
,
"
Set Command-line Parameters
"
,
"
Use Case
"
,
"
Distributed PaddlePaddle Training on AWS with Kubernetes
"
,
"
Paddle On Kubernetes
"
,
"
<no title>
"
,
"
<no title>
"
,
"
PaddlePaddle Documentation
"
,
"
Chinese Word Embedding Model Tutorial
"
,
"
Generative Adversarial Networks (GAN)
"
,
"
Image Classification Tutorial
"
,
"
Model Zoo - ImageNet
"
,
"
TUTORIALS
"
,
"
Quick Start
"
,
"
MovieLens Dataset
"
,
"
Regression MovieLens Ratting
"
,
"
Semantic Role labeling Tutorial
"
,
"
Sentiment Analysis Tutorial
"
,
"
Text generation Tutorial
"
],
titleterms
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u4e0d
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u4f7f
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u7528
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\
u80cc
\
u666f
"
:
24
,
"
\
u8fd9
\
u4e2a
\
u52a8
\
u6001
\
u5e93
\
u4f7f
\
u7528c99
\
u6807
\
u51c6
\
u7684
\
u5934
\
u6587
\
u4ef6
\
u5bfc
\
u51fa
\
u4e00
\
u4e9b
\
u51fd
\
u6570
"
:
24
,
"
case
"
:
42
,
"
class
"
:
35
,
"
function
"
:
48
,
"
new
"
:
35
,
"
paddle
\
u52a8
\
u6001
\
u5e93
\
u4e2d
"
:
24
,
"
paddle
\
u591a
\
u8bed
\
u8a00
\
u63a5
\
u53e3
\
u5b9e
\
u73b0
"
:
24
,
"
return
"
:
25
,
AWS
:
43
,
Abs
:
14
,
DNS
:
43
,
EFS
:
43
,
For
:
44
,
KMS
:
43
,
Use
:[
42
,
44
],
Using
:[
28
,
34
],
about
:
0
,
absactiv
:
6
,
access
:
43
,
account
:
43
,
activ
:[
6
,
14
],
adadelta
:
18
,
adadeltaoptim
:
12
,
adagrad
:
18
,
adagradoptim
:
12
,
adam
:
18
,
adamax
:
18
,
adamaxoptim
:
12
,
adamoptim
:
12
,
add
:
43
,
address
:
43
,
addto
:
16
,
addto_lay
:
10
,
adversari
:
49
,
aggreg
:[
10
,
16
],
algorithm
:
53
,
analysi
:
57
,
api
:[
1
,
4
],
appendix
:
53
,
applic
:
4
,
approach
:
37
,
architectur
:[
33
,
53
],
argument
:[
25
,
39
,
42
,
53
],
asset
:
43
,
associ
:
43
,
async
:
40
,
attent
:
33
,
attribut
:[
7
,
15
],
auc_evalu
:
9
,
avg
:
19
,
avgpool
:
13
,
avx
:
28
,
aws
:
43
,
background
:
26
,
base
:[
9
,
10
],
baseactiv
:
6
,
basepool
:
19
,
basepoolingtyp
:
13
,
basesgdoptim
:
12
,
batch
:
25
,
batch_norm
:
16
,
batch_norm_lay
:
10
,
batch_siz
:
25
,
beam_search
:[
10
,
16
],
between
:
23
,
bidirect
:
57
,
bidirectional_lstm
:[
11
,
17
],
bilinear_interp
:
16
,
bilinear_interp_lay
:
10
,
bleu
:
58
,
block_expand
:
16
,
block_expand_lay
:
10
,
book
:
28
,
brelu
:
14
,
breluactiv
:
6
,
bucket
:
43
,
build
:[
27
,
29
,
44
],
built
:
37
,
cach
:
3
,
cento
:
27
,
check
:[
10
,
16
,
35
,
38
],
chines
:
48
,
choos
:
43
,
chunk_evalu
:
9
,
cifar
:
20
,
classif
:[
9
,
50
],
classification_error_evalu
:
9
,
classification_error_printer_evalu
:
9
,
clone
:
34
,
cloudform
:
43
,
cluster
:[
38
,
42
,
43
],
code
:
34
,
column_sum_evalu
:
9
,
command
:[
41
,
42
,
53
,
58
],
commit
:[
34
,
44
],
common
:
40
,
commun
:
40
,
compos
:
25
,
concat
:
16
,
concat_lay
:
10
,
concept
:
43
,
config
:[
4
,
42
,
55
,
56
],
configur
:[
21
,
33
,
36
,
38
,
43
,
53
,
55
],
conll05
:
20
,
connect
:[
10
,
16
],
contain
:[
28
,
44
],
content
:[
37
,
43
],
context_project
:[
10
,
16
],
contribut
:
34
,
conv
:[
10
,
16
],
conv_oper
:[
10
,
16
],
conv_project
:[
10
,
16
],
conv_shift
:
16
,
conv_shift_lay
:
10
,
convolut
:[
50
,
53
],
core
:
43
,
cos_sim
:[
10
,
16
],
cost
:[
10
,
16
],
cpu
:[
28
,
42
],
creat
:[
25
,
34
,
43
,
44
],
creator
:
25
,
credenti
:
43
,
credit
:
0
,
crf
:
16
,
crf_decod
:
16
,
crf_decoding_lay
:
10
,
crf_layer
:
10
,
cross_entropi
:
10
,
cross_entropy_cost
:
16
,
cross_entropy_with_selfnorm
:
10
,
cross_entropy_with_selfnorm_cost
:
16
,
ctc
:
16
,
ctc_error_evalu
:
9
,
ctc_layer
:
10
,
cudnnavg
:
19
,
cudnnmax
:
19
,
custom
:
25
,
dat
:
54
,
data
:[
10
,
16
,
20
,
25
,
26
,
33
,
43
,
44
,
48
,
49
,
50
,
53
,
55
,
56
,
57
,
58
],
data_lay
:
10
,
datafeed
:
20
,
dataprovid
:[
3
,
4
,
40
],
dataset
:[
20
,
54
,
55
,
58
],
datasourc
:
8
,
datatyp
:
20
,
date
:
34
,
debian
:
30
,
decayedadagrad
:
18
,
decayedadagradoptim
:
12
,
decor
:
25
,
defin
:[
43
,
53
,
57
,
58
],
delet
:
43
,
delv
:
50
,
demo
:
43
,
depend
:
27
,
deriv
:
35
,
descript
:[
40
,
49
,
54
,
56
],
design
:[
23
,
25
],
destroi
:
43
,
detail
:[
40
,
50
],
develop
:[
28
,
36
],
devic
:
42
,
dictionari
:[
25
,
48
],
differ
:
42
,
directori
:
43
,
distribut
:[
23
,
38
,
40
,
43
],
doc
:[
23
,
25
],
docker
:[
28
,
44
],
document
:[
28
,
47
],
dotmul_oper
:[
10
,
16
],
dotmul_project
:[
10
,
16
],
down
:
43
,
download
:[
27
,
43
,
44
,
48
,
51
,
55
,
58
],
dropout_lay
:[
11
,
17
],
ec2
:
43
,
elast
:
43
,
embed
:[
16
,
48
,
53
],
embedding_lay
:
10
,
entri
:
25
,
eos
:
16
,
eos_lay
:
10
,
equat
:
35
,
evalu
:[
9
,
26
,
55
],
evalutaion
:
58
,
event
:[
22
,
23
],
exampl
:[
23
,
48
,
49
],
exercis
:
50
,
exp
:
14
,
expactiv
:
6
,
expand
:
16
,
expand_lay
:
10
,
extern
:
43
,
extract
:[
48
,
51
,
55
,
58
],
fc_layer
:
10
,
featur
:[
51
,
54
,
55
,
56
],
field
:
55
,
file
:[
43
,
44
,
53
,
54
,
55
],
find
:
43
,
first_seq
:[
10
,
16
],
fork
:
34
,
format
:
53
,
from
:[
23
,
27
,
29
],
full_matrix_project
:[
10
,
16
],
fulli
:[
10
,
16
],
gan
:
49
,
gate
:
33
,
gener
:[
33
,
49
,
58
],
get
:[
31
,
44
],
get_output
:
16
,
get_output_lay
:
10
,
github
:
34
,
gpu
:[
28
,
37
,
40
,
42
],
gradient
:
35
,
gradient_printer_evalu
:
9
,
group
:[
10
,
16
,
43
],
gru
:[
11
,
17
,
40
],
gru_group
:[
11
,
17
],
gru_step
:
16
,
gru_step_lay
:
10
,
gru_unit
:[
11
,
17
],
grumemori
:[
10
,
16
],
guid
:
30
,
hand
:
37
,
handler
:[
23
,
24
],
hook
:
34
,
how
:[
25
,
36
,
37
],
hsigmoid
:[
10
,
16
],
huber_cost
:[
10
,
16
],
iam
:
43
,
ident
:
14
,
identity_project
:[
10
,
16
],
identityactiv
:
6
,
imag
:[
10
,
11
,
16
,
17
,
28
,
44
,
50
],
imagenet
:
51
,
imdb
:[
20
,
57
],
img_cmrnorm
:
16
,
img_cmrnorm_lay
:
10
,
img_conv
:
16
,
img_conv_bn_pool
:[
11
,
17
],
img_conv_group
:[
11
,
17
],
img_conv_lay
:
10
,
img_pool
:
16
,
img_pool_lay
:
10
,
imikolov
:
20
,
implement
:[
25
,
35
,
49
],
infer
:[
22
,
53
],
info
:
51
,
ingredi
:
23
,
init_hook
:
3
,
initi
:[
42
,
43
],
input_typ
:
3
,
inspect
:
43
,
instal
:[
27
,
29
,
30
,
43
,
53
],
instanc
:
43
,
integr
:
43
,
interfac
:[
20
,
25
,
51
],
interpol
:
16
,
interpolation_lay
:
10
,
introduct
:[
2
,
48
,
51
,
57
,
58
],
isn
:
25
,
job
:[
38
,
43
,
44
],
join
:[
10
,
16
],
keep
:
34
,
kei
:
43
,
kill
:
38
,
kube
:
43
,
kubectl
:
43
,
kubernet
:[
43
,
44
],
label
:
56
,
lambda_cost
:[
10
,
16
],
last_seq
:[
10
,
16
],
lastest
:
34
,
launch
:
38
,
layer
:[
10
,
16
,
23
,
35
,
42
],
layeroutput
:
10
,
layertyp
:
10
,
line
:[
41
,
53
],
linear
:[
14
,
26
],
linear_comb
:
16
,
linear_comb_lay
:
10
,
linearactiv
:
6
,
list
:
25
,
local
:[
42
,
43
],
log
:[
14
,
53
],
logactiv
:
6
,
logist
:
53
,
lstm
:[
11
,
17
,
40
,
56
,
57
],
lstm_step
:
16
,
lstm_step_lay
:
10
,
lstmemori
:[
10
,
16
],
lstmemory_group
:[
11
,
17
],
lstmemory_unit
:[
11
,
17
],
map
:
25
,
math
:[
10
,
16
],
matrix
:
40
,
max
:
19
,
maxframe_printer_evalu
:
9
,
maxid
:
16
,
maxid_lay
:
10
,
maxid_printer_evalu
:
9
,
maxout
:
16
,
maxout_lay
:
10
,
maxpool
:
13
,
memori
:[
10
,
16
],
meta
:
55
,
mini
:
25
,
minibatch
:
20
,
misc
:[
11
,
17
],
mix
:[
10
,
16
,
42
],
mixed_lay
:
10
,
mnist
:[
20
,
49
],
model
:[
3
,
4
,
21
,
23
,
26
,
32
,
33
,
38
,
42
,
48
,
49
,
50
,
51
,
52
,
53
,
58
],
modifi
:
44
,
momentum
:
18
,
momentumoptim
:
12
,
movi
:[
54
,
55
],
movielen
:[
20
,
54
,
55
],
mse_cost
:
10
,
multi_binary_label_cross_entropi
:
10
,
multi_binary_label_cross_entropy_cost
:
16
,
multipl
:
25
,
name
:
43
,
nce
:
16
,
nce_lay
:
10
,
need
:[
25
,
37
],
network
:[
11
,
17
,
33
,
42
,
49
,
50
,
51
,
53
,
55
,
56
],
neural
:[
33
,
50
,
53
,
55
,
56
],
neuralnetwork
:
26
,
nlp
:[
11
,
17
,
40
],
non
:[
3
,
28
],
norm
:[
10
,
16
],
nvprof
:
37
,
nvvp
:
37
,
object
:
55
,
observ
:[
48
,
51
],
onli
:[
25
,
28
],
optim
:[
12
,
18
,
36
,
53
],
option
:[
27
,
48
],
outlin
:
39
,
output
:[
11
,
38
,
43
],
overview
:
53
,
packag
:
30
,
pad
:
16
,
pad_lay
:
10
,
paddl
:[
25
,
44
],
paddlepaddl
:[
23
,
28
,
29
,
43
,
47
,
48
,
58
],
pair
:
43
,
parallel_nn
:
42
,
paramet
:[
7
,
15
,
22
,
23
,
40
,
41
,
43
,
48
,
51
],
paraphras
:
48
,
pass
:
42
,
perform
:[
37
,
40
],
pnpair_evalu
:
9
,
point
:
43
,
pool
:[
10
,
13
,
16
,
19
],
pooling_lay
:
10
,
power
:
16
,
power_lay
:
10
,
pre
:
34
,
precision_recall_evalu
:
9
,
predict
:[
5
,
50
,
51
,
55
,
56
,
57
],
prefetch
:
25
,
prepar
:[
26
,
33
,
38
,
43
,
48
,
49
,
50
,
55
,
57
,
58
],
preprocess
:[
48
,
50
,
53
,
55
,
58
],
prerequisit
:
38
,
pretrain
:[
48
,
58
],
print
:
9
,
privat
:
43
,
problem
:
26
,
profil
:
37
,
provid
:[
3
,
25
,
53
,
55
,
56
],
pull
:
34
,
push
:
34
,
pydataprovider2
:
3
,
python
:[
5
,
25
,
35
,
51
,
53
,
55
],
quick
:
53
,
randomnumb
:
40
,
rank
:
9
,
rank_cost
:[
10
,
16
],
rat
:
55
,
rate
:
54
,
reader
:[
20
,
23
,
25
],
recurr
:[
10
,
11
,
16
,
17
,
33
,
53
],
recurrent_group
:[
10
,
16
],
recurrent_lay
:
10
,
refer
:[
3
,
37
,
56
,
57
],
region
:
43
,
regress
:[
26
,
53
,
55
],
relu
:
14
,
reluactiv
:
6
,
render
:
43
,
repeat
:
16
,
repeat_lay
:
10
,
request
:
34
,
requir
:[
27
,
34
],
reshap
:[
10
,
16
],
resnet
:
51
,
result
:[
38
,
44
,
58
],
revis
:[
34
,
48
],
rmsprop
:
18
,
rmspropoptim
:
12
,
rnn
:[
32
,
33
,
40
],
role
:
56
,
rotat
:
16
,
rotate_lay
:
10
,
route53
:
43
,
run
:[
38
,
44
,
56
],
sampl
:[
10
,
16
],
sampling_id
:
16
,
sampling_id_lay
:
10
,
scale
:
16
,
scaling_lay
:
10
,
scaling_project
:[
10
,
16
],
script
:
44
,
secur
:
43
,
selective_fc
:
16
,
selective_fc_lay
:
10
,
semant
:
56
,
sentiment
:[
20
,
57
],
seq_concat
:
16
,
seq_concat_lay
:
10
,
seq_reshap
:
16
,
seq_reshape_lay
:
10
,
seqtext_printer_evalu
:
9
,
sequenc
:
33
,
sequence_conv_pool
:[
11
,
17
],
sequencesoftmax
:
14
,
sequencesoftmaxactiv
:
6
,
sequenti
:
3
,
server
:[
40
,
43
],
servic
:
43
,
set
:[
12
,
41
],
setup
:[
27
,
43
],
sgd
:
40
,
share
:
23
,
shuffl
:
25
,
sigmoid
:
14
,
sigmoidactiv
:
6
,
simpl
:[
26
,
33
],
simple_attent
:[
11
,
17
],
simple_gru
:[
11
,
17
],
simple_img_conv_pool
:[
11
,
17
],
simple_lstm
:[
11
,
17
],
singl
:
25
,
slice
:[
10
,
16
],
slope_intercept
:
16
,
slope_intercept_lay
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\ No newline at end of file
\ No newline at end of file
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