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一只大灰猫
PaddleRec
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801dfd34
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PaddleRec
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体验新版 GitCode,发现更多精彩内容 >>
提交
801dfd34
编写于
5月 19, 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
rename get_cost_op to avg_cost
上级
ba023dfb
变更
9
隐藏空白更改
内联
并排
Showing
9 changed file
with
12 addition
and
12 deletion
+12
-12
core/model.py
core/model.py
+1
-1
core/trainers/cluster_trainer.py
core/trainers/cluster_trainer.py
+2
-2
core/trainers/ctr_coding_trainer.py
core/trainers/ctr_coding_trainer.py
+1
-1
core/trainers/ctr_modul_trainer.py
core/trainers/ctr_modul_trainer.py
+2
-2
core/trainers/online_learning_trainer.py
core/trainers/online_learning_trainer.py
+1
-1
core/trainers/single_trainer.py
core/trainers/single_trainer.py
+2
-2
doc/design.md
doc/design.md
+1
-1
models/contentunderstanding/classification/model.py
models/contentunderstanding/classification/model.py
+1
-1
models/contentunderstanding/tagspace/model.py
models/contentunderstanding/tagspace/model.py
+1
-1
未找到文件。
core/model.py
浏览文件 @
801dfd34
...
...
@@ -47,7 +47,7 @@ class Model(object):
def
get_infer_results
(
self
):
return
self
.
_infer_results
def
get_
cost_op
(
self
):
def
get_
avg_cost
(
self
):
"""R
"""
return
self
.
_cost
...
...
core/trainers/cluster_trainer.py
浏览文件 @
801dfd34
...
...
@@ -82,7 +82,7 @@ class ClusterTrainer(TranspileTrainer):
strategy
=
self
.
build_strategy
()
optimizer
=
fleet
.
distributed_optimizer
(
optimizer
,
strategy
)
optimizer
.
minimize
(
self
.
model
.
get_
cost_op
())
optimizer
.
minimize
(
self
.
model
.
get_
avg_cost
())
if
fleet
.
is_server
():
context
[
'status'
]
=
'server_pass'
...
...
@@ -114,7 +114,7 @@ class ClusterTrainer(TranspileTrainer):
program
=
fluid
.
compiler
.
CompiledProgram
(
fleet
.
main_program
).
with_data_parallel
(
loss_name
=
self
.
model
.
get_
cost_op
().
name
,
loss_name
=
self
.
model
.
get_
avg_cost
().
name
,
build_strategy
=
self
.
strategy
.
get_build_strategy
(),
exec_strategy
=
self
.
strategy
.
get_execute_strategy
())
...
...
core/trainers/ctr_coding_trainer.py
浏览文件 @
801dfd34
...
...
@@ -88,7 +88,7 @@ class CtrPaddleTrainer(Trainer):
optimizer
=
self
.
model
.
optimizer
()
optimizer
=
fleet
.
distributed_optimizer
(
optimizer
,
strategy
=
{
"use_cvm"
:
False
})
optimizer
.
minimize
(
self
.
model
.
get_
cost_op
())
optimizer
.
minimize
(
self
.
model
.
get_
avg_cost
())
if
fleet
.
is_server
():
context
[
'status'
]
=
'server_pass'
...
...
core/trainers/ctr_modul_trainer.py
浏览文件 @
801dfd34
...
...
@@ -129,7 +129,7 @@ class CtrPaddleTrainer(Trainer):
model
=
self
.
_exector_context
[
executor
[
'name'
]][
'model'
]
self
.
_metrics
.
update
(
model
.
get_metrics
())
runnnable_scope
.
append
(
scope
)
runnnable_cost_op
.
append
(
model
.
get_
cost_op
())
runnnable_cost_op
.
append
(
model
.
get_
avg_cost
())
for
var
in
model
.
_data_var
:
if
var
.
name
in
data_var_name_dict
:
continue
...
...
@@ -146,7 +146,7 @@ class CtrPaddleTrainer(Trainer):
model
=
self
.
_exector_context
[
executor
[
'name'
]][
'model'
]
program
=
model
.
_build_param
[
'model'
][
'train_program'
]
if
not
executor
[
'is_update_sparse'
]:
program
.
_fleet_opt
[
"program_configs"
][
str
(
id
(
model
.
get_
cost_op
().
block
.
program
))][
"push_sparse"
]
=
[]
program
.
_fleet_opt
[
"program_configs"
][
str
(
id
(
model
.
get_
avg_cost
().
block
.
program
))][
"push_sparse"
]
=
[]
if
'train_thread_num'
not
in
executor
:
executor
[
'train_thread_num'
]
=
self
.
global_config
[
'train_thread_num'
]
with
fluid
.
scope_guard
(
scope
):
...
...
core/trainers/online_learning_trainer.py
浏览文件 @
801dfd34
...
...
@@ -78,7 +78,7 @@ class ClusterTrainer(TranspileTrainer):
optimizer
=
self
.
model
.
optimizer
()
strategy
=
self
.
build_strategy
()
optimizer
=
fleet
.
distributed_optimizer
(
optimizer
,
strategy
)
optimizer
.
minimize
(
self
.
model
.
get_
cost_op
())
optimizer
.
minimize
(
self
.
model
.
get_
avg_cost
())
if
fleet
.
is_server
():
context
[
'status'
]
=
'server_pass'
...
...
core/trainers/single_trainer.py
浏览文件 @
801dfd34
...
...
@@ -47,7 +47,7 @@ class SingleTrainer(TranspileTrainer):
def
init
(
self
,
context
):
self
.
model
.
train_net
()
optimizer
=
self
.
model
.
optimizer
()
optimizer
.
minimize
((
self
.
model
.
get_
cost_op
()))
optimizer
.
minimize
((
self
.
model
.
get_
avg_cost
()))
self
.
fetch_vars
=
[]
self
.
fetch_alias
=
[]
...
...
@@ -74,7 +74,7 @@ class SingleTrainer(TranspileTrainer):
program
=
fluid
.
compiler
.
CompiledProgram
(
fluid
.
default_main_program
()).
with_data_parallel
(
loss_name
=
self
.
model
.
get_
cost_op
().
name
)
loss_name
=
self
.
model
.
get_
avg_cost
().
name
)
metrics_varnames
=
[]
metrics_format
=
[]
...
...
doc/design.md
浏览文件 @
801dfd34
...
...
@@ -153,7 +153,7 @@ class Model(object):
def
infer_net
(
self
):
pass
def
get_
cost_op
(
self
):
def
get_
avg_cost
(
self
):
return
self
.
_cost
```
...
...
models/contentunderstanding/classification/model.py
浏览文件 @
801dfd34
...
...
@@ -59,7 +59,7 @@ class Model(ModelBase):
self
.
cost
=
avg_cost
self
.
_metrics
[
"acc"
]
=
acc
def
get_
cost_op
(
self
):
def
get_
avg_cost
(
self
):
return
self
.
cost
def
get_metrics
(
self
):
...
...
models/contentunderstanding/tagspace/model.py
浏览文件 @
801dfd34
...
...
@@ -89,7 +89,7 @@ class Model(ModelBase):
self
.
metrics
[
"correct"
]
=
correct
self
.
metrics
[
"cos_pos"
]
=
cos_pos
def
get_
cost_op
(
self
):
def
get_
avg_cost
(
self
):
return
self
.
cost
def
get_metrics
(
self
):
...
...
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