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94404dcd
编写于
3月 06, 2018
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:
767acc6c
上级
cb35796e
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
32 addition
and
2 deletion
+32
-2
develop/api_doc/fluid/executor.html
develop/api_doc/fluid/executor.html
+31
-1
develop/api_doc/searchindex.js
develop/api_doc/searchindex.js
+1
-1
未找到文件。
develop/api_doc/fluid/executor.html
浏览文件 @
94404dcd
...
...
@@ -179,7 +179,37 @@ var _hmt = _hmt || [];
<dl
class=
"class"
>
<dt>
<em
class=
"property"
>
class
</em><code
class=
"descclassname"
>
paddle.fluid.executor.
</code><code
class=
"descname"
>
Executor
</code><span
class=
"sig-paren"
>
(
</span><em>
places
</em><span
class=
"sig-paren"
>
)
</span></dt>
<dd></dd></dl>
<dd><dl
class=
"method"
>
<dt>
<code
class=
"descname"
>
run
</code><span
class=
"sig-paren"
>
(
</span><em>
program=None
</em>
,
<em>
feed=None
</em>
,
<em>
fetch_list=None
</em>
,
<em>
feed_var_name='feed'
</em>
,
<em>
fetch_var_name='fetch'
</em>
,
<em>
scope=None
</em>
,
<em>
return_numpy=True
</em>
,
<em>
use_program_cache=False
</em><span
class=
"sig-paren"
>
)
</span></dt>
<dd><p>
Run program by this Executor. Feed data by feed map, fetch result by fetch_list.
</p>
<p>
Python executor takes a program, add feed operators and fetch operators to this program according
to feed map and fetch_list. Feed map provides input data for the program. fetch_list provides
the variables(or names) that user want to get after program run. Note: the executor will run all
operators in the program but not only the operators dependent by the fetch_list
</p>
<table
class=
"docutils field-list"
frame=
"void"
rules=
"none"
>
<col
class=
"field-name"
/>
<col
class=
"field-body"
/>
<tbody
valign=
"top"
>
<tr
class=
"field-odd field"
><th
class=
"field-name"
>
Parameters:
</th><td
class=
"field-body"
><ul
class=
"first last simple"
>
<li><strong>
program
</strong>
–
the program that need to run, if not provied, then default_main_program will be used.
</li>
<li><strong>
feed
</strong>
–
feed variable map, e.g. {
“
image
”
: ImageData,
“
label
”
: LableData}
</li>
<li><strong>
fetch_list
</strong>
–
a list of variable or variable names that user want to get, run will return them according
</li>
</ul>
</td>
</tr>
</tbody>
</table>
<p>
to this list.
:param feed_var_name: the name for the input variable of feed Operator.
:param fetch_var_name: the name for the output variable of feed Operator.
:param scope: the scope used to run this program, you can switch it to different scope. default is global_scope
:param return_numpy: if convert the fetched tensor to numpy
:param use_program_cache: set use_program_cache to true if program not changed compare to the last step.
:return: result according to fetch_list.
</p>
</dd></dl>
</dd></dl>
</div>
<div
class=
"section"
id=
"global-scope"
>
...
...
develop/api_doc/searchindex.js
浏览文件 @
94404dcd
Search
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data_feeder
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evaluator
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executor
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Fluid
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initializer
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io
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layers
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Parameter Attribute
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Evaluators
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xavier
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zero
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6
}})
\ No newline at end of file
Search
.
setIndex
({
docnames
:[
"
fluid/data_feeder
"
,
"
fluid/evaluator
"
,
"
fluid/executor
"
,
"
fluid/index
"
,
"
fluid/initializer
"
,
"
fluid/io
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,
"
fluid/layers
"
,
"
fluid/nets
"
,
"
fluid/optimizer
"
,
"
fluid/param_attr
"
,
"
fluid/profiler
"
,
"
fluid/regularizer
"
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wise
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6
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17
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24
],
within
:[
6
,
17
],
without
:[
16
,
17
],
wmt16_files_mmt
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23
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wmt_shrinked_data
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23
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word
:[
16
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17
,
23
],
word_idx
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23
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word_vector_dim
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17
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words_freq_sort
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23
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work
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6
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17
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22
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workshop
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23
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would
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10
,
26
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wrap
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6
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wrapper
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18
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write
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6
,
10
,
13
,
22
],
written
:[
6
,
10
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www
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6
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23
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x_first_step
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6
,
x_last_step
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6
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x_num_col_dim
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6
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x_reshap
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6
,
x_t
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6
,
x_t_data
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6
,
x_transpos
:
6
,
xarg
:
16
,
xavier
:
6
,
xavieriniti
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4
,
6
],
xmap_read
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22
,
y_num_col_dim
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6
,
y_predict
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6
,
yann
:
23
,
year
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23
,
yeild
:
26
,
yield
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22
,
you
:[
2
,
6
,
7
,
10
,
15
,
17
,
18
,
22
,
23
,
26
],
your
:[
17
,
22
,
23
,
26
],
yuyang18
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22
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23
],
zero
:[
15
,
17
,
18
,
19
,
22
,
23
],
zip
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23
},
titles
:[
"
data_feeder
"
,
"
evaluator
"
,
"
executor
"
,
"
Fluid
"
,
"
initializer
"
,
"
io
"
,
"
layers
"
,
"
nets
"
,
"
optimizer
"
,
"
param_attr
"
,
"
profiler
"
,
"
regularizer
"
,
"
API
"
,
"
V2 API Overview
"
,
"
Activation
"
,
"
Parameter Attribute
"
,
"
Evaluators
"
,
"
Layers
"
,
"
Networks
"
,
"
Optimizer
"
,
"
Pooling
"
,
"
Data Reader Interface and DataSets
"
,
"
Data Reader Interface
"
,
"
Dataset
"
,
"
Image Interface
"
,
"
Model Configuration
"
,
"
Training and Inference
"
],
titleterms
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"
while
"
:
6
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Abs
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14
,
abs
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6
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accuraci
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1
,
6
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activ
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14
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17
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adadelta
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19
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adagrad
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8
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19
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adam
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8
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19
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adamax
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8
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19
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addto
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17
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aggreg
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17
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aggregatelevel
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17
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api
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12
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13
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11
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array_length
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6
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array_read
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6
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array_to_lod_tensor
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6
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array_writ
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6
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assign
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6
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attribut
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15
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auc
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16
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avg
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20
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basepool
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20
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batch_norm
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6
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17
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beam_search
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6
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17
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18
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bidirectional_lstm
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18
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bilinear_interp
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17
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17
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blockguard
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6
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blockguardserv
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6
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blockguardwithcomplet
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6
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brelu
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6
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14
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cast
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6
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ceil
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6
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check
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17
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chunk
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16
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chunk_ev
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6
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chunkevalu
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1
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cifar
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23
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classif
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16
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classification_error
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16
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classification_error_print
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16
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clip
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6
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17
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6
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column_sum
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16
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concat
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6
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17
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conditionalblock
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6
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configur
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25
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conll05
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23
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connect
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17
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constant
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4
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17
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control_flow
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6
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conv2d
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6
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conv2d_transpos
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6
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conv
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17
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conv_oper
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17
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conv_project
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17
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conv_shift
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17
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cos_sim
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6
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17
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cost
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17
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6
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create_global_var
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6
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6
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create_tensor
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6
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crf
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17
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crf_decod
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6
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17
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cross_channel_norm
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17
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cross_entropi
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6
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cross_entropy_cost
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17
,
cross_entropy_with_selfnorm_cost
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17
,
ctc
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17
,
ctc_error
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16
,
ctc_greedy_decod
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6
,
cuda_profil
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10
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cudnnavg
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20
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cudnnmax
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20
,
data
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6
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17
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21
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22
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data_feed
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0
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datafeed
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0
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22
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dataset
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21
,
23
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datatyp
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22
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decayedadagrad
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8
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19
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detect
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16
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detection_map
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16
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detection_output
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17
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devic
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6
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dot_prod
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17
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dot_product_attent
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18
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dotmul_oper
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17
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dotmul_project
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17
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dropout
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6
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17
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6
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dynamic_lstm
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6
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dynamic_lstmp
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6
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dynamicrnn
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6
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edit_dist
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6
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elementwise_add
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6
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elementwise_div
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6
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elementwise_max
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6
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elementwise_min
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6
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elementwise_mul
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6
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elementwise_pow
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6
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elementwise_sub
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6
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elu
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6
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embed
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6
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17
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eos
:
17
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evalu
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1
,
16
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event
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26
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executor
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2
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exp
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6
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14
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expand
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17
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expandlevel
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17
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factorization_machin
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17
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fill_const
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6
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fill_constant_batch_size_lik
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6
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first_seq
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17
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floor
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6
,
fluid
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3
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full_matrix_project
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17
,
fulli
:
17
,
gated_unit
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17
,
get_inference_program
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5
,
get_output
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17
,
get_plac
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6
,
global_scop
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2
,
glu
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7
,
gradient_print
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16
,
group
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17
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gru
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18
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gru_group
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18
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gru_step
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17
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gru_unit
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6
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18
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grumemori
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17
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hard_shrink
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6
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hard_sigmoid
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6
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hsigmoid
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17
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huber_classification_cost
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17
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huber_regression_cost
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17
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ident
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14
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identity_project
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17
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ifels
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6
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im2sequ
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6
,
imag
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17
,
18
,
24
],
imdb
:
23
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img_cmrnorm
:
17
,
img_conv
:
17
,
img_conv_bn_pool
:
18
,
img_conv_group
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18
,
img_pool
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17
,
imikolov
:
23
,
increment
:
6
,
infer
:
26
,
initi
:
4
,
interfac
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21
,
22
,
24
],
interpol
:
17
,
kmax_sequence_scor
:
17
,
l1decai
:
11
,
l2_distanc
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17
,
l2_normal
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6
,
l2decai
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11
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lambda_cost
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17
,
last_seq
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17
,
layer
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6
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17
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layer_norm
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6
,
leaky_relu
:
6
,
less_than
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6
,
linear
:
14
,
linear_chain_crf
:
6
,
linear_comb
:
17
,
listenandserv
:
6
,
load_inference_model
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5
,
load_param
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5
,
load_persist
:
5
,
load_var
:
5
,
lod_rank_t
:
6
,
lod_tensor_to_arrai
:
6
,
log
:[
6
,
14
],
logsigmoid
:
6
,
lstm
:
18
,
lstm_step
:
17
,
lstm_unit
:
6
,
lstmemori
:
17
,
lstmemory_group
:
18
,
lstmemory_unit
:
18
,
math
:
17
,
matmul
:
6
,
max
:
20
,
max_sequence_len
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6
,
maxframe_print
:
16
,
maxid
:
17
,
maxid_print
:
16
,
maxout
:
17
,
mean
:
6
,
memori
:
17
,
merge_lod_tensor
:
6
,
minibatch
:
22
,
mix
:
17
,
mnist
:
23
,
model
:
25
,
momentum
:[
8
,
19
],
movielen
:
23
,
mul
:
6
,
multi_binary_label_cross_entropy_cost
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17
,
multibox_loss
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17
,
multiplex
:[
6
,
17
],
nce
:[
6
,
17
],
net
:
7
,
network
:
18
,
nlp
:
18
,
norm
:
17
,
normal
:
4
,
ones
:
6
,
ops
:
6
,
optim
:[
8
,
19
],
out_prod
:
17
,
overview
:
13
,
pad
:
17
,
paralleldo
:
6
,
param_attr
:
9
,
paramattr
:
9
,
paramet
:[
15
,
26
],
pnpair
:
16
,
pool2d
:
6
,
pool
:[
17
,
20
],
pow
:
6
,
power
:
17
,
precision_recal
:
16
,
prelu
:
17
,
print
:[
6
,
16
],
profil
:
10
,
rank
:
16
,
rank_cost
:
17
,
reader
:[
21
,
22
],
reciproc
:
6
,
recurr
:[
17
,
18
],
recurrent_group
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17
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reduce_max
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6
,
reduce_mean
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6
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reduce_min
:
6
,
reduce_sum
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6
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regular
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11
,
relu6
:
6
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relu
:[
6
,
14
],
reorder_lod_tensor_by_rank
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6
,
repeat
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17
,
reset_profil
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10
,
reshap
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6
,
17
],
resiz
:
17
,
rmsprop
:
19
,
roi_pool
:
17
,
rotat
:
17
,
round
:
6
,
row_conv
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6
,
17
],
row_l2_norm
:
17
,
sampl
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17
,
sampling_id
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17
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save_inference_model
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5
,
save_param
:
5
,
save_persist
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5
,
save_var
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5
,
scale
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6
,
17
],
scale_shift
:
17
,
scaled_dot_product_attent
:
7
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scaling_project
:
17
,
scope_guard
:
2
,
selective_fc
:
17
,
send
:
6
,
sentiment
:
23
,
seq_concat
:
17
,
seq_reshap
:
17
,
seq_slic
:
17
,
seqtext_print
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16
,
sequence_conv
:
6
,
sequence_conv_pool
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7
,
18
],
sequence_expand
:
6
,
sequence_first_step
:
6
,
sequence_last_step
:
6
,
sequence_pool
:
6
,
sequence_reshap
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6
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sequence_softmax
:
6
,
sequencesoftmax
:
14
,
sgd
:
8
,
shrink_memori
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6
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sigmoid
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6
,
14
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sigmoid_cross_entropy_with_logit
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6
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simple_attent
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18
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simple_gru2
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18
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simple_gru
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18
,
simple_img_conv_pool
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7
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18
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simple_lstm
:
18
,
slice_project
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17
,
slope_intercept
:
17
,
small_vgg
:
18
,
smooth_l1_cost
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17
,
soft_relu
:
6
,
softmax
:
14
,
softplu
:
6
,
softrelu
:
14
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softshrink
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6
,
softsign
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6
,
14
],
split
:
6
,
split_lod_tensor
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6
,
spp
:
17
,
sqrt
:
6
,
squar
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6
,
14
],
square_error_cost
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6
,
17
],
squarerootn
:
20
,
stanh
:[
6
,
14
],
staticrnn
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6
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staticrnnmemorylink
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6
,
sub_nested_seq
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17
,
sub_seq
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17
,
sum
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6
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16
,
20
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sum_cost
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17
,
sum_to_one_norm
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17
,
swish
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6
,
switch_scop
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2
,
table_project
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17
,
tanh
:[
6
,
14
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tanh_shrink
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6
,
tensor
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6
,
17
],
text_conv_pool
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18
,
thresholded_relu
:
6
,
topk
:
6
,
train
:
26
,
trainer
:
26
,
tran
:
17
,
trans_full_matrix_project
:
17
,
transpos
:
6
,
uci_h
:
23
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uniform
:
4
,
util
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16
,
value_print
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16
,
vgg_16_network
:
18
,
warp_ctc
:
17
,
warpctc
:
6
,
weightnormparamattr
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9
,
whileguard
:
6
,
wmt14
:
23
,
wmt16
:
23
,
xavier
:
4
,
zero
:
6
}})
\ No newline at end of file
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