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c02f773a
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体验新版 GitCode,发现更多精彩内容 >>
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c02f773a
编写于
2月 27, 2018
作者:
Y
Yancey
提交者:
GitHub
2月 27, 2018
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差异文件
Fix dist demo var type error (#8600)
* Fix dist demo error * revert trainer_id
上级
decaad5c
变更
10
隐藏空白更改
内联
并排
Showing
10 changed file
with
12 addition
and
8 deletion
+12
-8
python/paddle/fluid/framework.py
python/paddle/fluid/framework.py
+1
-0
python/paddle/fluid/tests/book_distribute/notest_dist_fit_a_line.py
...dle/fluid/tests/book_distribute/notest_dist_fit_a_line.py
+1
-2
python/paddle/fluid/tests/book_distribute/notest_dist_image_classification.py
...tests/book_distribute/notest_dist_image_classification.py
+1
-0
python/paddle/fluid/tests/book_distribute/notest_dist_label_semantic_roles.py
...tests/book_distribute/notest_dist_label_semantic_roles.py
+1
-0
python/paddle/fluid/tests/book_distribute/notest_dist_word2vec.py
...addle/fluid/tests/book_distribute/notest_dist_word2vec.py
+3
-1
python/paddle/fluid/tests/book_distribute/notest_machine_translation.py
...fluid/tests/book_distribute/notest_machine_translation.py
+1
-0
python/paddle/fluid/tests/book_distribute/notest_recognize_digits_conv_dist.py
...ests/book_distribute/notest_recognize_digits_conv_dist.py
+1
-5
python/paddle/fluid/tests/book_distribute/notest_recommender_system_dist.py
...d/tests/book_distribute/notest_recommender_system_dist.py
+1
-0
python/paddle/fluid/tests/book_distribute/notest_understand_sentiment_conv_dist.py
.../book_distribute/notest_understand_sentiment_conv_dist.py
+1
-0
python/paddle/fluid/tests/book_distribute/notest_understand_sentiment_dynamic_lstm.py
...ok_distribute/notest_understand_sentiment_dynamic_lstm.py
+1
-0
未找到文件。
python/paddle/fluid/framework.py
浏览文件 @
c02f773a
...
...
@@ -784,6 +784,7 @@ class Block(object):
elif
type
(
v
)
==
Variable
:
var
=
Variable
(
self
,
type
=
v
.
type
,
name
=
new_name
,
error_clip
=
error_clip
,
stop_gradient
=
stop_gradient
)
...
...
python/paddle/fluid/tests/book_distribute/notest_dist_fit_a_line.py
浏览文件 @
c02f773a
...
...
@@ -48,6 +48,7 @@ current_endpoint = os.getenv("SERVER_ENDPOINT")
# run as trainer or parameter server
training_role
=
os
.
getenv
(
"TRAINING_ROLE"
,
"TRAINER"
)
# get the training role: trainer/pserver
t
.
transpile
(
optimize_ops
,
params_grads
,
pservers
=
pserver_endpoints
,
trainers
=
2
)
if
training_role
==
"PSERVER"
:
...
...
@@ -65,8 +66,6 @@ else:
PASS_NUM
=
100
for
pass_id
in
range
(
PASS_NUM
):
fluid
.
io
.
save_persistables
(
exe
,
"./fit_a_line.model/"
)
fluid
.
io
.
load_persistables
(
exe
,
"./fit_a_line.model/"
)
for
data
in
train_reader
():
avg_loss_value
=
exe
.
run
(
trainer_prog
,
feed
=
feeder
.
feed
(
data
),
...
...
python/paddle/fluid/tests/book_distribute/notest_dist_image_classification.py
浏览文件 @
c02f773a
...
...
@@ -138,6 +138,7 @@ current_endpoint = os.getenv("SERVER_ENDPOINT")
# run as trainer or parameter server
training_role
=
os
.
getenv
(
"TRAINING_ROLE"
,
"TRAINER"
)
# get the training role: trainer/pserver
t
.
transpile
(
optimize_ops
,
params_grads
,
pservers
=
pserver_endpoints
,
trainers
=
TRAINERS
)
...
...
python/paddle/fluid/tests/book_distribute/notest_dist_label_semantic_roles.py
浏览文件 @
c02f773a
...
...
@@ -191,6 +191,7 @@ def main():
# run as trainer or parameter server
training_role
=
os
.
getenv
(
"TRAINING_ROLE"
,
"TRAINER"
)
# get the training role: trainer/pserver
t
.
transpile
(
optimize_ops
,
params_grads
,
pservers
=
pserver_endpoints
,
trainers
=
2
)
...
...
python/paddle/fluid/tests/book_distribute/notest_dist_word2vec.py
浏览文件 @
c02f773a
...
...
@@ -82,6 +82,7 @@ current_endpoint = os.getenv("SERVER_ENDPOINT")
# run as trainer or parameter server
training_role
=
os
.
getenv
(
"TRAINING_ROLE"
,
"TRAINER"
)
# get the training role: trainer/pserver
t
.
transpile
(
optimize_ops
,
params_grads
,
pservers
=
pserver_endpoints
,
trainers
=
TRAINERS
)
if
training_role
==
"PSERVER"
:
...
...
@@ -97,9 +98,10 @@ elif training_role == "TRAINER":
feed_list
=
[
first_word
,
second_word
,
third_word
,
forth_word
,
next_word
],
place
=
place
)
exe
.
run
(
fluid
.
default_startup_program
())
trainer_prog
=
t
.
get_trainer_program
()
for
pass_id
in
range
(
PASS_NUM
):
for
data
in
train_reader
():
avg_cost_np
=
exe
.
run
(
t
.
get_trainer_program
()
,
avg_cost_np
=
exe
.
run
(
t
rainer_prog
,
feed
=
feeder
.
feed
(
data
),
fetch_list
=
[
avg_cost
])
print
(
"avg_cost_np"
,
avg_cost_np
)
...
...
python/paddle/fluid/tests/book_distribute/notest_machine_translation.py
浏览文件 @
c02f773a
...
...
@@ -115,6 +115,7 @@ def main():
# run as trainer or parameter server
training_role
=
os
.
getenv
(
"TRAINING_ROLE"
,
"TRAINER"
)
# get the training role: trainer/pserver
t
.
transpile
(
optimize_ops
,
params_grads
,
pservers
=
pserver_endpoints
,
trainers
=
2
)
...
...
python/paddle/fluid/tests/book_distribute/notest_recognize_digits_conv_dist.py
浏览文件 @
c02f773a
...
...
@@ -64,11 +64,7 @@ if not current_endpoint:
t
=
fluid
.
DistributeTranspiler
()
t
.
transpile
(
optimize_ops
,
params_grads
,
0
,
pservers
=
pserver_endpoints
,
trainers
=
trainers
)
optimize_ops
,
params_grads
,
pservers
=
pserver_endpoints
,
trainers
=
trainers
)
if
training_role
==
"PSERVER"
:
pserver_prog
=
t
.
get_pserver_program
(
current_endpoint
)
...
...
python/paddle/fluid/tests/book_distribute/notest_recommender_system_dist.py
浏览文件 @
c02f773a
...
...
@@ -171,6 +171,7 @@ def main():
current_endpoint
=
os
.
getenv
(
"SERVER_ENDPOINT"
)
# run as trainer or parameter server
training_role
=
os
.
getenv
(
"TRAINING_ROLE"
,
"TRAINER"
)
t
.
transpile
(
optimize_ops
,
params_grads
,
pservers
=
pserver_endpoints
,
trainers
=
2
)
...
...
python/paddle/fluid/tests/book_distribute/notest_understand_sentiment_conv_dist.py
浏览文件 @
c02f773a
...
...
@@ -90,6 +90,7 @@ def main():
# run as trainer or parameter server
training_role
=
os
.
getenv
(
"TRAINING_ROLE"
,
"TRAINER"
)
# get the training role: trainer/pserver
t
.
transpile
(
optimize_ops
,
params_grads
,
pservers
=
pserver_endpoints
,
trainers
=
2
)
...
...
python/paddle/fluid/tests/book_distribute/notest_understand_sentiment_dynamic_lstm.py
浏览文件 @
c02f773a
...
...
@@ -102,6 +102,7 @@ def main():
# run as trainer or parameter server
training_role
=
os
.
getenv
(
"TRAINING_ROLE"
,
"TRAINER"
)
# get the training role: trainer/pserver
t
.
transpile
(
optimize_ops
,
params_grads
,
pservers
=
pserver_endpoints
,
trainers
=
2
)
...
...
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