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PaddleRec
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8cf79b11
P
PaddleRec
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体验新版 GitCode,发现更多精彩内容 >>
提交
8cf79b11
编写于
4月 15, 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
update setup.py
上级
24934161
变更
2
隐藏空白更改
内联
并排
Showing
2 changed file
with
10 addition
and
10 deletion
+10
-10
fleetrec/core/trainers/transpiler_trainer.py
fleetrec/core/trainers/transpiler_trainer.py
+1
-1
fleetrec/run.py
fleetrec/run.py
+9
-9
未找到文件。
fleetrec/core/trainers/transpiler_trainer.py
浏览文件 @
8cf79b11
...
@@ -43,7 +43,7 @@ class TranspileTrainer(Trainer):
...
@@ -43,7 +43,7 @@ class TranspileTrainer(Trainer):
batch_size
=
envs
.
get_global_env
(
"batch_size"
,
None
,
namespace
)
batch_size
=
envs
.
get_global_env
(
"batch_size"
,
None
,
namespace
)
reader_class
=
envs
.
get_global_env
(
"class"
,
None
,
namespace
)
reader_class
=
envs
.
get_global_env
(
"class"
,
None
,
namespace
)
abs_dir
=
os
.
path
.
dirname
(
os
.
path
.
abspath
(
__file__
))
abs_dir
=
os
.
path
.
dirname
(
os
.
path
.
abspath
(
__file__
))
reader
=
os
.
path
.
join
(
abs_dir
,
'../
reader
'
,
'reader_instance.py'
)
reader
=
os
.
path
.
join
(
abs_dir
,
'../
utils
'
,
'reader_instance.py'
)
pipe_cmd
=
"python {} {} {} {}"
.
format
(
reader
,
reader_class
,
"TRAIN"
,
self
.
_config
)
pipe_cmd
=
"python {} {} {} {}"
.
format
(
reader
,
reader_class
,
"TRAIN"
,
self
.
_config
)
train_data_path
=
envs
.
get_global_env
(
"train_data_path"
,
None
,
namespace
)
train_data_path
=
envs
.
get_global_env
(
"train_data_path"
,
None
,
namespace
)
...
...
fleetrec/run.py
浏览文件 @
8cf79b11
...
@@ -54,21 +54,21 @@ if __name__ == "__main__":
...
@@ -54,21 +54,21 @@ if __name__ == "__main__":
print
(
"use 1X1 ClusterTraining at localhost to run model: {}"
.
format
(
args
.
model
))
print
(
"use 1X1 ClusterTraining at localhost to run model: {}"
.
format
(
args
.
model
))
cluster_envs
=
{}
cluster_envs
=
{}
cluster_envs
[
"
train.
server_num"
]
=
1
cluster_envs
[
"server_num"
]
=
1
cluster_envs
[
"
train.
worker_num"
]
=
1
cluster_envs
[
"worker_num"
]
=
1
cluster_envs
[
"
train.
start_port"
]
=
36001
cluster_envs
[
"start_port"
]
=
36001
cluster_envs
[
"
train.
log_dir"
]
=
"logs"
cluster_envs
[
"log_dir"
]
=
"logs"
cluster_envs
[
"train.trainer"
]
=
"
Single
Training"
cluster_envs
[
"train.trainer"
]
=
"
Cluster
Training"
local_cluster_engine
(
cluster_envs
,
args
.
model
)
local_cluster_engine
(
cluster_envs
,
args
.
model
)
elif
args
.
engine
==
"LocalMPI"
:
elif
args
.
engine
==
"LocalMPI"
:
print
(
"use 1X1 MPI ClusterTraining at localhost to run model: {}"
.
format
(
args
.
model
))
print
(
"use 1X1 MPI ClusterTraining at localhost to run model: {}"
.
format
(
args
.
model
))
cluster_envs
=
{}
cluster_envs
=
{}
cluster_envs
[
"
train.
server_num"
]
=
1
cluster_envs
[
"server_num"
]
=
1
cluster_envs
[
"
train.
worker_num"
]
=
1
cluster_envs
[
"worker_num"
]
=
1
cluster_envs
[
"
train.
start_port"
]
=
36001
cluster_envs
[
"start_port"
]
=
36001
cluster_envs
[
"
train.
log_dir"
]
=
"logs"
cluster_envs
[
"log_dir"
]
=
"logs"
cluster_envs
[
"train.trainer"
]
=
"CtrTraining"
cluster_envs
[
"train.trainer"
]
=
"CtrTraining"
local_mpi_engine
(
cluster_envs
,
args
.
model
)
local_mpi_engine
(
cluster_envs
,
args
.
model
)
...
...
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