Skip to content
体验新版
项目
组织
正在加载...
登录
切换导航
打开侧边栏
PaddlePaddle
Paddle
提交
01c7daad
P
Paddle
项目概览
PaddlePaddle
/
Paddle
12 个月 前同步成功
通知
2292
Star
20931
Fork
5422
代码
文件
提交
分支
Tags
贡献者
分支图
Diff
Issue
1423
列表
看板
标记
里程碑
合并请求
543
Wiki
0
Wiki
分析
仓库
DevOps
项目成员
Pages
P
Paddle
项目概览
项目概览
详情
发布
仓库
仓库
文件
提交
分支
标签
贡献者
分支图
比较
Issue
1,423
Issue
1,423
列表
看板
标记
里程碑
合并请求
543
合并请求
543
Pages
分析
分析
仓库分析
DevOps
Wiki
0
Wiki
成员
成员
收起侧边栏
关闭侧边栏
动态
分支图
创建新Issue
提交
Issue看板
体验新版 GitCode,发现更多精彩内容 >>
未验证
提交
01c7daad
编写于
8月 05, 2019
作者:
C
chengduo
提交者:
GitHub
8月 05, 2019
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Add checking for the fetch_list of Executor.run (#18957)
* update exe.run
上级
e53f517a
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
23 addition
and
11 deletion
+23
-11
paddle/fluid/API.spec
paddle/fluid/API.spec
+1
-1
python/paddle/fluid/contrib/slim/graph/executor.py
python/paddle/fluid/contrib/slim/graph/executor.py
+2
-2
python/paddle/fluid/executor.py
python/paddle/fluid/executor.py
+18
-5
python/paddle/fluid/parallel_executor.py
python/paddle/fluid/parallel_executor.py
+2
-3
未找到文件。
paddle/fluid/API.spec
浏览文件 @
01c7daad
...
...
@@ -38,7 +38,7 @@ paddle.fluid.DistributeTranspilerConfig.__init__
paddle.fluid.ParallelExecutor ('paddle.fluid.parallel_executor.ParallelExecutor', ('document', '2b4d2e859f2e0c6161f4fed995f7956d'))
paddle.fluid.ParallelExecutor.__init__ (ArgSpec(args=['self', 'use_cuda', 'loss_name', 'main_program', 'share_vars_from', 'exec_strategy', 'build_strategy', 'num_trainers', 'trainer_id', 'scope'], varargs=None, keywords=None, defaults=(None, None, None, None, None, 1, 0, None)), ('document', '6adf97f83acf6453d4a6a4b1070f3754'))
paddle.fluid.ParallelExecutor.drop_local_exe_scopes (ArgSpec(args=['self'], varargs=None, keywords=None, defaults=None), ('document', '77c739744ea5708b80fb1b37cc89db40'))
paddle.fluid.ParallelExecutor.run (ArgSpec(args=['self', 'fetch_list', 'feed', 'feed_dict', 'return_numpy'], varargs=None, keywords=None, defaults=(None, None, True)), ('document', '
33ce6ec50f8eeb05d340e6b114b026fd
'))
paddle.fluid.ParallelExecutor.run (ArgSpec(args=['self', 'fetch_list', 'feed', 'feed_dict', 'return_numpy'], varargs=None, keywords=None, defaults=(None, None, True)), ('document', '
0af092676e5b1320bb4232396154ce4b
'))
paddle.fluid.create_lod_tensor (ArgSpec(args=['data', 'recursive_seq_lens', 'place'], varargs=None, keywords=None, defaults=None), ('document', 'b82ea20e2dc5ff2372e0643169ca47ff'))
paddle.fluid.create_random_int_lodtensor (ArgSpec(args=['recursive_seq_lens', 'base_shape', 'place', 'low', 'high'], varargs=None, keywords=None, defaults=None), ('document', '74dc6d23185d90a7a50fbac19f5b65fb'))
paddle.fluid.DataFeedDesc ('paddle.fluid.data_feed_desc.DataFeedDesc', ('document', '43877a0d9357db94d3dbc7359cbe8c73'))
...
...
python/paddle/fluid/contrib/slim/graph/executor.py
浏览文件 @
01c7daad
...
...
@@ -44,12 +44,12 @@ class SlimGraphExecutor(object):
feed
=
None
if
data
is
not
None
:
feeder
=
DataFeeder
(
feed_list
=
graph
.
in_nodes
.
values
(
),
feed_list
=
list
(
graph
.
in_nodes
.
values
()
),
place
=
self
.
place
,
program
=
graph
.
program
)
feed
=
feeder
.
feed
(
data
)
fetch_list
=
graph
.
out_nodes
.
values
(
)
fetch_list
=
list
(
graph
.
out_nodes
.
values
()
)
program
=
graph
.
compiled_graph
if
graph
.
compiled_graph
else
graph
.
program
results
=
self
.
exe
.
run
(
program
,
scope
=
scope
,
...
...
python/paddle/fluid/executor.py
浏览文件 @
01c7daad
...
...
@@ -18,6 +18,7 @@ import logging
import
os
import
multiprocessing
import
sys
import
warnings
import
numpy
as
np
from
.wrapped_decorator
import
signature_safe_contextmanager
import
six
...
...
@@ -611,17 +612,30 @@ class Executor(object):
except
Exception
as
e
:
if
not
isinstance
(
e
,
core
.
EOFException
):
print
(
"An exception was thrown!
\n
{}"
.
format
(
str
(
e
)))
raise
e
six
.
reraise
(
*
sys
.
exc_info
())
def
_run_impl
(
self
,
program
,
feed
,
fetch_list
,
feed_var_name
,
fetch_var_name
,
scope
,
return_numpy
,
use_program_cache
):
if
self
.
_closed
:
raise
RuntimeError
(
"Attempted to use a closed Executor"
)
if
program
is
None
:
program
=
default_main_program
()
if
isinstance
(
program
,
Program
)
and
\
len
(
program
.
global_block
().
ops
)
==
0
:
warnings
.
warn
(
"The current program is empty."
)
if
scope
is
None
:
scope
=
global_scope
()
if
fetch_list
is
None
:
if
fetch_list
is
not
None
:
if
isinstance
(
fetch_list
,
Variable
)
or
isinstance
(
fetch_list
,
str
):
fetch_list
=
[
fetch_list
]
assert
isinstance
(
fetch_list
,
tuple
)
or
isinstance
(
fetch_list
,
list
),
\
"Currently , The fetch_list type only should be list or tuple,
\n
"
\
"but the input type is {}. For more information please refer to
\n
"
\
"the executor.run(...)."
.
format
(
type
(
fetch_list
))
else
:
fetch_list
=
[]
compiled
=
isinstance
(
program
,
compiler
.
CompiledProgram
)
...
...
@@ -679,9 +693,8 @@ class Executor(object):
raise
TypeError
(
"feed requires dict as its Parameter. But you passed in %s"
%
(
type
(
feed
)))
if
program
is
None
:
program
=
default_main_program
()
assert
program
is
not
None
,
"The program should not be Empty"
if
not
isinstance
(
program
,
Program
):
raise
TypeError
(
"Executor requires Program as its Parameter. But you passed in %s"
...
...
python/paddle/fluid/parallel_executor.py
浏览文件 @
01c7daad
...
...
@@ -180,7 +180,7 @@ class ParallelExecutor(object):
The feed parameter can be a dict or a list. If feed is a dict, the
feed data will be split into multiple devices. If feed is a list, we
assume the data has been split
ted
into multiple devices, the each
assume the data has been split into multiple devices, the each
element in the list will be copied to each device directly.
Examples:
...
...
@@ -212,7 +212,6 @@ class ParallelExecutor(object):
loss = fluid.layers.mean(hidden)
fluid.optimizer.SGD(learning_rate=0.01).minimize(loss)
startup_program.random_seed=1
exe.run(startup_program)
train_exe = fluid.ParallelExecutor(use_cuda=use_cuda,
...
...
@@ -239,7 +238,7 @@ class ParallelExecutor(object):
Args:
fetch_list(list): The fetched variable names
feed(list|dict|None): The feed variables. If the feed is a dict,
tensors in that dict will be split
ted
into each devices. If
tensors in that dict will be split into each devices. If
the feed is a list, each element of the list will be copied
to each device. Default None.
feed_dict: Alias for feed parameter, for backward compatibility.
...
...
编辑
预览
Markdown
is supported
0%
请重试
或
添加新附件
.
添加附件
取消
You are about to add
0
people
to the discussion. Proceed with caution.
先完成此消息的编辑!
取消
想要评论请
注册
或
登录