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402e9442
编写于
2月 23, 2018
作者:
T
Travis CI
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Showing
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develop/api_doc/searchindex.js
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develop/api_doc/v2/fluid/layers.html
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develop/api_doc/searchindex.js
浏览文件 @
402e9442
Search
.
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,
14
,
15
,
18
,
21
,
25
],
"
default
"
:[
2
,
3
,
4
,
5
,
6
,
7
,
9
,
10
,
11
,
17
,
18
,
19
,
22
,
25
],
"
final
"
:[
4
,
5
,
18
],
"
float
"
:[
2
,
3
,
4
,
6
,
9
,
18
,
19
],
"
function
"
:[
4
,
5
,
9
,
10
,
18
,
19
,
23
],
"
import
"
:[
3
,
4
],
"
int
"
:[
2
,
3
,
4
,
5
,
9
,
10
,
11
,
18
,
19
],
"
long
"
:[
4
,
5
,
9
,
18
],
"
new
"
:[
4
,
9
,
18
],
"
public
"
:[
10
,
18
],
"
return
"
:[
2
,
3
,
4
,
5
,
7
,
9
,
10
,
11
,
17
,
18
,
19
,
23
,
25
],
"
short
"
:[
4
,
5
],
"
static
"
:
25
,
"
true
"
:[
2
,
3
,
4
,
5
,
6
,
7
,
9
,
10
,
11
,
17
,
18
,
19
,
21
,
25
],
"
var
"
:[
17
,
18
],
"
while
"
:[
2
,
4
,
9
],
AWS
:
9
,
Abs
:
18
,
And
:[
3
,
4
,
6
,
9
,
10
,
11
,
18
,
25
],
But
:[
4
,
5
,
9
,
18
],
EOS
:
4
,
For
:[
3
,
4
,
5
,
6
,
9
,
18
,
25
],
IDs
:[
10
,
18
],
Its
:[
3
,
4
],
NMS
:
4
,
NOT
:
18
,
One
:[
3
,
5
,
18
,
25
],
That
:[
4
,
9
],
The
:[
1
,
2
,
3
,
4
,
5
,
6
,
9
,
10
,
11
,
17
,
18
,
19
,
22
,
25
],
Their
:
4
,
Then
:[
4
,
5
,
18
],
There
:[
3
,
4
,
10
,
18
,
25
],
These
:[
3
,
11
,
18
],
Use
:[
3
,
9
,
18
],
Used
:[
5
,
21
],
Using
:
18
,
Will
:[
9
,
25
],
With
:[
4
,
5
],
__gradient_machines__
:
25
,
__param_conf__
:
25
,
__tmp_params__
:
25
,
_link
:
5
,
_proj
:
4
,
abbrevi
:
11
,
abc
:
4
,
abl
:
4
,
about
:[
5
,
11
,
18
],
abov
:[
3
,
4
,
18
],
abs
:
5
,
acceler
:
4
,
accept
:[
2
,
4
,
9
,
18
],
access
:[
4
,
5
,
18
],
accord
:[
3
,
4
,
11
,
18
],
accordingli
:[
3
,
4
],
accumul
:
14
,
accuraci
:
3
,
acl2016
:
10
,
across
:[
4
,
9
],
act
:[
4
,
5
,
18
,
19
],
actgat
:
18
,
activ
:[
5
,
18
,
19
,
24
],
activi
:
5
,
actnod
:
18
,
actual
:[
4
,
18
],
adagradoptim
:
20
,
adamaxoptim
:
20
,
adamoptim
:
20
,
adapt
:[
3
,
6
,
18
,
25
],
add
:[
4
,
5
,
9
,
18
,
22
,
23
,
25
],
added
:[
3
,
4
,
10
,
18
,
25
],
addit
:[
4
,
5
],
addtolay
:
4
,
affect
:[
4
,
18
],
after
:[
4
,
5
,
10
,
11
,
18
],
age
:
10
,
agg_level
:
4
,
alex
:
18
,
algorithm
:[
4
,
6
,
18
],
alia
:[
1
,
2
,
4
,
16
,
18
,
20
,
23
],
alias
:
18
,
align
:[
4
,
5
,
9
],
all
:[
2
,
3
,
4
,
17
,
18
,
19
,
25
],
alloc
:
2
,
almost
:
18
,
along
:[
4
,
11
,
18
,
19
],
alpha
:
18
,
alreadi
:[
18
,
22
],
also
:[
4
,
5
,
10
,
18
,
21
],
although
:
22
,
alwai
:[
4
,
5
,
18
,
25
],
among
:
18
,
amount
:
18
,
ani
:[
4
,
5
,
9
,
18
,
21
],
anoth
:[
4
,
9
,
18
,
25
],
anthor
:
18
,
anyth
:
9
,
apart
:
18
,
api
:[
10
,
25
],
append
:[
18
,
25
],
append_batch_s
:
18
,
append_gradient_machin
:
25
,
appli
:[
4
,
18
,
23
],
applic
:
22
,
approach
:
4
,
approxim
:
18
,
arbitrari
:
4
,
archiv
:[
10
,
18
],
arg
:[
3
,
5
,
15
,
22
],
arg_nam
:
4
,
argmax
:
18
,
argument
:[
4
,
9
,
11
,
18
,
22
],
around
:
4
,
arrai
:[
2
,
4
,
9
,
11
,
18
,
25
],
arrang
:
18
,
arrari
:
18
,
articl
:[
10
,
18
],
arxiv
:[
5
,
18
],
as_row_vector
:
4
,
assign
:[
3
,
4
,
19
],
assum
:[
3
,
4
,
18
],
att_seq
:
5
,
attach
:
5
,
attend
:
5
,
attended_sequ
:
5
,
attenion
:
5
,
attent
:[
4
,
5
,
19
],
attr1
:
4
,
attr2
:
4
,
attr
:[
2
,
4
,
5
,
18
],
attribut
:[
4
,
5
,
18
,
24
],
author
:
10
,
automat
:[
4
,
18
],
avail
:
10
,
ave
:
22
,
averag
:[
3
,
4
,
7
,
14
,
18
,
22
,
25
],
avg_x
:
18
,
avgpool
:
4
,
avoid
:
18
,
axi
:[
4
,
18
],
axis
:
4
,
back
:[
4
,
18
,
25
],
background
:[
3
,
4
],
background_id
:[
3
,
4
],
backward
:[
1
,
4
,
5
,
18
,
23
],
baidu
:
18
,
base
:[
3
,
4
,
7
,
9
,
10
,
18
],
baseactiv
:
5
,
baseev
:
25
,
basenam
:
3
,
basepoolingtyp
:[
4
,
5
],
basestr
:[
2
,
3
,
4
,
5
,
7
,
25
],
basic
:[
4
,
25
],
batch
:[
4
,
5
,
9
,
11
,
14
,
18
,
19
,
25
],
batch_id
:
25
,
batch_images_from_tar
:
11
,
batch_norm_lay
:
5
,
batch_norm_typ
:
4
,
batch_ref
:
18
,
batch_siz
:[
9
,
18
],
batchnorm
:
18
,
batchsiz
:
4
,
bbox
:
3
,
bcd
:
4
,
bcebo
:
10
,
beam
:[
4
,
18
],
beam_gen
:
4
,
beam_search
:
25
,
beam_siz
:[
4
,
18
],
becaus
:[
3
,
4
,
10
],
becom
:
18
,
been
:[
4
,
5
,
18
],
befor
:[
4
,
5
,
18
],
begin
:[
3
,
4
,
18
,
22
],
begin_norm_axi
:
18
,
beginiter
:
25
,
beginpass
:
25
,
behavior
:
18
,
being
:
18
,
belong
:[
3
,
4
],
below
:
18
,
benefit
:
5
,
besid
:[
4
,
10
,
21
],
beta1
:
6
,
beta2
:
6
,
beta
:
18
,
better
:
5
,
between
:[
3
,
4
,
11
,
18
,
25
],
bgr
:
11
,
bi_gru
:
5
,
bi_lstm
:
5
,
bia
:[
4
,
5
,
18
],
bias
:[
4
,
18
],
bias_attr
:[
4
,
5
,
18
],
bias_initi
:
18
,
bias_param_attr
:
5
,
bidirect
:[
4
,
5
],
bigger
:
18
,
bilinear
:
4
,
bilinear_interpol
:
4
,
binari
:[
3
,
4
,
9
,
18
],
bioinf
:
18
,
blank
:[
4
,
18
],
blob
:
10
,
block
:[
4
,
18
],
block_i
:[
4
,
18
],
block_x
:[
4
,
18
],
blockdesc
:
23
,
bn_bias_attr
:
5
,
bn_layer_attr
:
5
,
bn_param_attr
:
5
,
book
:
10
,
booktitl
:
10
,
bool
:[
2
,
3
,
4
,
5
,
6
,
7
,
9
,
10
,
11
,
17
,
18
,
25
],
boot
:[
4
,
18
],
boot_bia
:
4
,
boot_bias_active_typ
:
4
,
boot_with_const_id
:
4
,
bos_id
:
4
,
both
:[
1
,
2
,
4
,
5
,
11
,
18
,
22
],
bottom
:
25
,
bound
:[
4
,
18
],
boundri
:
3
,
box
:
4
,
branch
:[
4
,
18
],
broadcast
:
18
,
buf_siz
:
9
,
buffer
:
9
,
buffer_s
:
9
,
bufsiz
:
9
,
build
:[
4
,
10
,
17
],
build_dict
:
10
,
cacul
:
5
,
calcul
:[
3
,
4
,
5
,
18
],
call
:[
3
,
4
,
5
,
9
,
18
,
22
,
25
],
callabl
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2
,
4
,
9
,
10
,
17
],
can
:[
2
,
3
,
4
,
5
,
9
,
10
,
11
,
17
,
18
,
19
,
21
,
22
,
25
],
candid
:[
4
,
18
],
candidate_activ
:
18
,
captur
:
4
,
care
:
5
,
caret
:
25
,
carri
:
18
,
cat
:[
9
,
11
],
categori
:[
4
,
10
],
categorig
:
10
,
cde
:
4
,
cdn
:
10
,
ceil
:
4
,
ceil_mod
:
4
,
cell
:[
4
,
5
,
18
],
cell_activ
:
18
,
cell_t_prev
:
18
,
cell_valu
:
18
,
center
:
11
,
center_crop
:
11
,
ceph
:
9
,
certain
:
18
,
chain
:
9
,
challeng
:
4
,
chang
:[
4
,
10
],
channel
:[
4
,
5
,
11
,
18
],
channel_shar
:
4
,
check
:
9
,
check_align
:
9
,
choic
:
18
,
choos
:
18
,
chosen
:
18
,
chunk
:
18
,
chunk_ev
:
14
,
chunk_schem
:[
3
,
14
,
18
],
chunktyp
:
3
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chw
:
11
,
cite
:
10
,
clarifi
:[
3
,
18
],
classdim
:
18
,
classic
:
4
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classif
:[
4
,
18
],
classifi
:
4
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classification_error_evalu
:
3
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classification_evalu
:
3
,
clear
:[
3
,
22
],
client
:
18
,
clip
:[
2
,
5
],
clipbynorm
:
18
,
clock
:
4
,
clone
:
4
,
cloud_read
:
9
,
cluster
:[
9
,
25
],
cmu
:
18
,
cnn
:[
4
,
18
],
code
:[
4
,
9
],
coeff
:
4
,
collect
:[
4
,
10
,
25
],
color
:
11
,
colour
:
10
,
column
:[
3
,
4
,
18
],
column_evalu
:
3
,
com
:[
4
,
5
,
10
,
18
],
combin
:[
3
,
4
,
5
,
9
,
25
],
comma
:[
18
,
22
,
25
],
command
:[
9
,
22
],
comment
:
18
,
common
:
11
,
compat
:
19
,
compil
:
4
,
complet
:[
4
,
5
,
10
,
18
,
25
],
complex
:[
5
,
18
],
complic
:
4
,
compos
:[
9
,
19
],
composenotalign
:
9
,
comput
:[
4
,
5
,
14
,
18
,
19
,
22
],
computation
:
4
,
concaten
:[
4
,
5
,
18
],
concept
:
3
,
conckerneltrac
:
22
,
cond
:
18
,
condit
:[
4
,
18
],
conf
:
4
,
confid
:
4
,
confidence_threshold
:
4
,
config
:[
2
,
4
,
22
],
config_bas
:[
3
,
4
,
25
],
configur
:[
0
,
4
,
18
,
25
],
confus
:
11
,
conll
:
10
,
connect
:[
5
,
18
],
connectionist
:[
4
,
18
],
consequ
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4
,
5
],
consid
:[
3
,
4
],
consider
:[
4
,
5
],
consist
:[
3
,
4
,
10
,
11
,
18
],
constant
:[
4
,
18
],
constantiniti
:[
16
,
18
],
construct
:[
3
,
18
],
constructor
:
18
,
contain
:[
3
,
4
,
5
,
7
,
9
,
10
,
11
,
18
,
25
],
content
:
18
,
context
:[
4
,
5
,
10
,
18
,
19
],
context_attr
:
5
,
context_len
:[
4
,
5
],
context_proj_layer_nam
:
5
,
context_proj_param_attr
:
5
,
context_project
:
5
,
context_start
:[
4
,
5
],
continu
:
3
,
contrast
:[
4
,
18
],
control
:
2
,
conv
:[
5
,
18
],
conv_act
:
5
,
conv_batchnorm_drop_r
:
5
,
conv_bias_attr
:
5
,
conv_filter_s
:
5
,
conv_layer_attr
:
5
,
conv_num_filt
:
5
,
conv_op
:
4
,
conv_pad
:
5
,
conv_param_attr
:
5
,
conv_strid
:
5
,
conv_with_batchnorm
:
5
,
convent
:
18
,
convert
:[
10
,
18
],
convlay
:
4
,
convlution2d
:
18
,
convolut
:[
4
,
5
,
9
,
18
,
19
],
convolution2d
:
18
,
convoper
:
4
,
convproject
:
4
,
convtranslay
:
4
,
convtransproject
:
4
,
copi
:[
18
,
25
],
core
:[
2
,
18
],
corespond
:
18
,
corpu
:
10
,
correct
:[
4
,
18
],
correctli
:[
3
,
9
],
correspend
:
18
,
correspond
:[
4
,
17
,
18
,
19
],
cos
:
4
,
cosin
:[
4
,
18
],
cost
:[
18
,
25
],
cost_id
:
4
,
could
:[
4
,
9
,
25
],
count
:[
3
,
18
],
counter
:[
14
,
22
],
cours
:
3
,
covari
:
4
,
cpu
:[
2
,
4
,
18
,
22
],
cpuplac
:
22
,
creat
:[
2
,
9
,
10
,
18
,
23
,
25
],
creator
:[
9
,
10
],
crop
:
11
,
crop_siz
:
11
,
crope
:
11
,
cross
:[
4
,
18
],
cross_entropi
:
4
,
cross_entropy_with_selfnorm
:
4
,
csv
:
22
,
ctc
:[
3
,
18
],
ctc_evalu
:
3
,
cuda
:
22
,
cudaplac
:
22
,
cudnn
:[
4
,
7
,
18
],
cudnn_batch_norm
:
4
,
cudnn_conv
:
4
,
cudnn_convt
:
4
,
cudnnavginclpadpool
:
4
,
cudnnavgpool
:
4
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them
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three
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threshold
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time
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22
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timelin
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timeout_sec
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timer
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timestamp
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titl
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to_chw
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todo
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token
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10
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topolopi
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total
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22
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25
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trail
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train
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11
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trainabl
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transform
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transpos
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transpose_i
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transposedfullmatrixproject
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treat
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tree
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trg_dict_siz
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trim
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truth
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4
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tune
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tupl
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5
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10
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11
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18
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ture
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turn
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4
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18
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tutori
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two
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5
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18
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19
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type
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5
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7
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9
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10
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11
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18
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19
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23
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25
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3
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unchang
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18
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under
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18
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underli
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uniform
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4
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9
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uniforminiti
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unit
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18
,
19
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unitest
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unk
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unknown
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10
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18
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23
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unless
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unlik
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unnorm
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unscal
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use
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22
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use_cudnn
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22
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uses
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7
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10
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vgg
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5
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view
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4
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vision
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10
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visit
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visual
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4
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vl16
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10
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vutbr
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10
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w_f
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wai
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5
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18
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wang
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want
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22
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warn
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25
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warp
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4
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warpctc
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4
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websit
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10
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4
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5
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6
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18
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19
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21
,
23
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weight_act
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well
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18
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were
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what
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when
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4
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6
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9
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18
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19
,
25
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18
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where
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5
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6
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18
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19
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whether
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11
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18
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25
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which
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3
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4
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5
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9
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10
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11
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17
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18
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19
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21
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22
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25
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while_op
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18
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whole
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9
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whose
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4
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9
,
18
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why
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5
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width
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3
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4
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9
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11
,
18
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wiil
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18
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wiki
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4
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wikipedia
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4
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10
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window
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4
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7
,
10
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wise
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4
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11
,
18
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within
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4
,
18
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without
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3
,
4
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wmt16_files_mmt
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10
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wmt_shrinked_data
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10
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word
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3
,
4
,
10
],
word_idx
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10
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word_vector_dim
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4
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words_freq_sort
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10
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work
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9
,
18
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workshop
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10
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would
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22
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25
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wrap
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18
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wrapper
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5
,
write
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9
,
18
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written
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18
,
22
],
www
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10
,
18
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x_first_step
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18
,
x_last_step
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18
,
x_num_col_dim
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18
,
x_reshap
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18
,
x_t
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18
,
x_t_data
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18
,
x_transpos
:
18
,
xarg
:
3
,
xavier
:
18
,
xavieriniti
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16
,
18
],
xmap_read
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9
,
y_num_col_dim
:
18
,
y_predict
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18
,
yann
:
10
,
year
:
10
,
yeild
:
25
,
yield
:
9
,
you
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2
,
4
,
5
,
9
,
10
,
18
,
19
,
22
,
25
],
your
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4
,
9
,
10
,
25
],
yuyang18
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9
,
10
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zero
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2
,
4
,
5
,
6
,
9
,
10
],
zip
:
10
},
titles
:[
"
API
"
,
"
Activation
"
,
"
Parameter Attribute
"
,
"
Evaluators
"
,
"
Layers
"
,
"
Networks
"
,
"
Optimizer
"
,
"
Pooling
"
,
"
Data Reader Interface and DataSets
"
,
"
Data Reader Interface
"
,
"
Dataset
"
,
"
Image Interface
"
,
"
Fluid
"
,
"
data_feeder
"
,
"
evaluator
"
,
"
executor
"
,
"
initializer
"
,
"
io
"
,
"
layers
"
,
"
nets
"
,
"
optimizer
"
,
"
param_attr
"
,
"
profiler
"
,
"
regularizer
"
,
"
Model Configuration
"
,
"
Training and Inference
"
],
titleterms
:{
"
while
"
:
18
,
Abs
:
1
,
abs
:
18
,
accuraci
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14
,
18
],
activ
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1
,
4
],
adadelta
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6
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adagrad
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6
,
20
],
adam
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6
,
20
],
adamax
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6
,
20
],
addto
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4
,
aggreg
:
4
,
aggregatelevel
:
4
,
api
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0
,
append_regularization_op
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23
,
array_length
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18
,
array_read
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18
,
array_to_lod_tensor
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18
,
array_writ
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18
,
assign
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18
,
attribut
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2
,
auc
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3
,
avg
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7
,
basepool
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7
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batch_norm
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4
,
18
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beam_search
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4
,
18
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beam_search_decod
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18
,
bidirectional_gru
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5
,
bidirectional_lstm
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5
,
bilinear_interp
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4
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block_expand
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4
,
blockguard
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18
,
blockguardserv
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18
,
blockguardwithcomplet
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18
,
brelu
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1
,
18
],
cast
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18
,
ceil
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18
,
check
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4
,
chunk
:
3
,
chunk_ev
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18
,
chunkevalu
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14
,
cifar
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10
,
classif
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3
,
classification_error
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3
,
classification_error_print
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3
,
clip
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4
,
18
],
clip_by_norm
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18
,
column_sum
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3
,
concat
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4
,
18
],
conditionalblock
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18
,
configur
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24
,
conll05
:
10
,
connect
:
4
,
constant
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16
,
context_project
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4
,
control_flow
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18
,
conv2d
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18
,
conv2d_transpos
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18
,
conv
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4
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conv_oper
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4
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conv_project
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4
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conv_shift
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4
,
cos_sim
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4
,
18
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cost
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4
,
create_arrai
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18
,
create_global_var
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18
,
create_paramet
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18
,
create_tensor
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18
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crf
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4
,
crf_decod
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4
,
18
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cross_channel_norm
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4
,
cross_entropi
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18
,
cross_entropy_cost
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4
,
cross_entropy_with_selfnorm_cost
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4
,
ctc
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4
,
ctc_error
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3
,
ctc_greedy_decod
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18
,
cuda_profil
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22
,
cudnnavg
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7
,
cudnnmax
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7
,
data
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4
,
8
,
9
,
18
],
data_feed
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13
,
datafeed
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9
,
13
],
dataset
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8
,
10
],
datatyp
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9
,
decayedadagrad
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6
,
20
],
detect
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3
,
detection_map
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3
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detection_output
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4
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devic
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18
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dot_prod
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4
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dot_product_attent
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5
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dotmul_oper
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4
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dotmul_project
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4
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dropout
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4
,
18
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dynamic_gru
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18
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dynamic_lstm
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18
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dynamic_lstmp
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18
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dynamicrnn
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18
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edit_dist
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18
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elementwise_add
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18
,
elementwise_div
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18
,
elementwise_max
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18
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elementwise_min
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18
,
elementwise_mul
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18
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}})
\ No newline at end of file
develop/api_doc/v2/fluid/layers.html
浏览文件 @
402e9442
...
...
@@ -1060,7 +1060,7 @@ if activation is not None, it will be applied to the output as well.</p>
<li><span
class=
"math"
>
\(X_i\)
</span>
: The input tensor.
</li>
<li><span
class=
"math"
>
\(W\)
</span>
: The weights created by this layer.
</li>
<li><span
class=
"math"
>
\(b\)
</span>
: The bias parameter created by this layer (if needed).
</li>
<li><span
class=
"math"
>
\(Act\)
</span>
: The activation funtion.
</li>
<li><span
class=
"math"
>
\(Act\)
</span>
: The activation fun
c
tion.
</li>
<li><span
class=
"math"
>
\(Out\)
</span>
: The output tensor.
</li>
</ul>
<table
class=
"docutils field-list"
frame=
"void"
rules=
"none"
>
...
...
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