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PaddleRec
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fbbc7134
P
PaddleRec
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体验新版 GitCode,发现更多精彩内容 >>
提交
fbbc7134
编写于
4月 16, 2020
作者:
T
tangwei
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
fix import
上级
fd5e7f94
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
23 addition
and
18 deletion
+23
-18
fleetrec/core/factory.py
fleetrec/core/factory.py
+3
-4
fleetrec/core/trainers/ctr_modul_trainer.py
fleetrec/core/trainers/ctr_modul_trainer.py
+0
-0
fleetrec/run.py
fleetrec/run.py
+20
-14
未找到文件。
fleetrec/core/factory.py
浏览文件 @
fbbc7134
...
...
@@ -17,10 +17,6 @@ import sys
import
yaml
from
fleetrec.core.trainers.single_trainer
import
SingleTrainer
from
fleetrec.core.trainers.cluster_trainer
import
ClusterTrainer
from
fleetrec.core.trainers.ctr_trainer
import
CtrPaddleTrainer
from
fleetrec.core.utils
import
envs
...
...
@@ -38,10 +34,13 @@ class TrainerFactory(object):
train_mode
=
envs
.
get_runtime_envion
(
"train.trainer"
)
if
train_mode
==
"SingleTraining"
:
from
fleetrec.core.trainers.single_trainer
import
SingleTrainer
trainer
=
SingleTrainer
(
yaml_path
)
elif
train_mode
==
"ClusterTraining"
:
from
fleetrec.core.trainers.cluster_trainer
import
ClusterTrainer
trainer
=
ClusterTrainer
(
yaml_path
)
elif
train_mode
==
"CtrTraining"
:
from
fleetrec.core.trainers.ctr_modul_trainer
import
CtrPaddleTrainer
trainer
=
CtrPaddleTrainer
(
config
)
elif
train_mode
==
"UserDefineTraining"
:
train_location
=
envs
.
get_global_env
(
"train.location"
)
...
...
fleetrec/core/trainers/ctr_trainer.py
→
fleetrec/core/trainers/ctr_
modul_
trainer.py
浏览文件 @
fbbc7134
文件已移动
fleetrec/run.py
浏览文件 @
fbbc7134
...
...
@@ -8,8 +8,6 @@ from paddle.fluid.incubate.fleet.parameter_server import version
from
fleetrec.core.factory
import
TrainerFactory
from
fleetrec.core.utils
import
envs
from
fleetrec.core.utils
import
util
from
fleetrec.core.engine.local_cluster_engine
import
LocalClusterEngine
from
fleetrec.core.engine.local_mpi_engine
import
LocalMPIEngine
def
run
(
model_yaml
):
...
...
@@ -25,22 +23,16 @@ def single_engine(single_envs, model_yaml):
def
local_cluster_engine
(
cluster_envs
,
model_yaml
):
from
fleetrec.core.engine.local_cluster_engine
import
LocalClusterEngine
print
(
envs
.
pretty_print_envs
(
cluster_envs
,
(
"Local Cluster Envs"
,
"Value"
)))
envs
.
set_runtime_envions
(
cluster_envs
)
launch
=
LocalClusterEngine
(
cluster_envs
,
model_yaml
)
launch
.
run
()
def
local_mpi_engine
(
model_yaml
):
print
(
"use 1X1 MPI ClusterTraining at localhost to run model: {}"
.
format
(
args
.
model
))
mpi_path
=
util
.
run_which
(
"mpirun"
)
if
not
mpi_path
:
raise
RuntimeError
(
"can not find mpirun, please check environment"
)
cluster_envs
=
{
"mpirun"
:
mpi_path
,
"train.trainer"
:
"CtrTraining"
}
def
local_mpi_engine
(
cluster_envs
,
model_yaml
):
from
fleetrec.core.engine.local_mpi_engine
import
LocalMPIEngine
print
(
envs
.
pretty_print_envs
(
cluster_envs
,
(
"Local MPI Cluster Envs"
,
"Value"
)))
envs
.
set_runtime_envions
(
cluster_envs
)
...
...
@@ -81,7 +73,14 @@ if __name__ == "__main__":
single_envs
=
{
"train.trainer"
:
"SingleTraining"
}
single_engine
(
single_envs
,
args
.
model
)
else
:
local_mpi_engine
(
args
.
model
)
print
(
"use 1X1 MPI ClusterTraining at localhost to run model: {}"
.
format
(
args
.
model
))
mpi_path
=
util
.
run_which
(
"mpirun"
)
if
not
mpi_path
:
raise
RuntimeError
(
"can not find mpirun, please check environment"
)
cluster_envs
=
{
"mpirun"
:
mpi_path
,
"train.trainer"
:
"CtrTraining"
}
local_mpi_engine
(
cluster_envs
,
args
.
model
)
elif
args
.
engine
.
upper
()
==
"LOCAL_CLUSTER"
:
print
(
"use 1X1 ClusterTraining at localhost to run model: {}"
.
format
(
args
.
model
))
if
version
.
is_transpiler
():
...
...
@@ -95,7 +94,14 @@ if __name__ == "__main__":
local_cluster_engine
(
cluster_envs
,
args
.
model
)
else
:
local_mpi_engine
(
args
.
model
)
print
(
"use 1X1 MPI ClusterTraining at localhost to run model: {}"
.
format
(
args
.
model
))
mpi_path
=
util
.
run_which
(
"mpirun"
)
if
not
mpi_path
:
raise
RuntimeError
(
"can not find mpirun, please check environment"
)
cluster_envs
=
{
"mpirun"
:
mpi_path
,
"train.trainer"
:
"CtrTraining"
}
local_mpi_engine
(
cluster_envs
,
args
.
model
)
elif
args
.
engine
.
upper
()
==
"CLUSTER"
:
print
(
"launch ClusterTraining with cluster to run model: {}"
.
format
(
args
.
model
))
run
(
args
.
model
)
...
...
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