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体验新版 GitCode,发现更多精彩内容 >>
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29de0d97
编写于
6月 04, 2020
作者:
L
lilong12
提交者:
GitHub
6月 04, 2020
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电子邮件补丁
差异文件
add the support to specify device index for device_guard (#24555)
* add the support of device index for device_guard.
上级
3016a4ac
变更
3
显示空白变更内容
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并排
Showing
3 changed file
with
48 addition
and
1 deletion
+48
-1
paddle/fluid/framework/operator.cc
paddle/fluid/framework/operator.cc
+10
-1
python/paddle/fluid/framework.py
python/paddle/fluid/framework.py
+7
-0
python/paddle/fluid/tests/unittests/test_device_guard.py
python/paddle/fluid/tests/unittests/test_device_guard.py
+31
-0
未找到文件。
paddle/fluid/framework/operator.cc
浏览文件 @
29de0d97
...
...
@@ -1050,7 +1050,16 @@ void OperatorWithKernel::ChooseKernel(const RuntimeContext& ctx,
if
(
HasAttr
(
"op_device"
))
{
if
(
Attr
<
std
::
string
>
(
"op_device"
)
==
"cpu"
)
{
expected_kernel_key
.
place_
=
platform
::
CPUPlace
();
}
else
if
(
Attr
<
std
::
string
>
(
"op_device"
)
==
"gpu"
)
{
}
else
if
(
Attr
<
std
::
string
>
(
"op_device"
).
find
(
"gpu"
)
!=
std
::
string
::
npos
)
{
auto
device
=
Attr
<
std
::
string
>
(
"op_device"
);
size_t
pos
=
device
.
find
(
':'
);
if
(
pos
!=
std
::
string
::
npos
)
{
device
=
device
.
substr
(
0
,
pos
);
LOG_FIRST_N
(
WARNING
,
1
)
<<
"Device index is only supported under pipeline parallelism, "
<<
"so it will be ignored."
;
}
// when the Op that only has CPUKernel is assigned to GPU, the CPUKernel
// will be executed and a warning will be given at the same time.
if
(
SupportGPU
())
{
...
...
python/paddle/fluid/framework.py
浏览文件 @
29de0d97
...
...
@@ -5455,10 +5455,17 @@ def device_guard(device=None):
result = exe.run(fetch_list=[out])
"""
index
=
None
if
device
and
':'
in
device
:
device
,
index
=
device
.
split
(
':'
)
if
device
==
'cpu'
:
raise
ValueError
(
"Should not set device id for cpu."
)
if
device
not
in
[
'cpu'
,
'gpu'
,
''
,
None
]:
raise
ValueError
(
"The Attr(device) should be 'cpu' or 'gpu', and it can also be empty string or None "
"when there is no need to specify device. But received %s"
%
device
)
if
index
:
device
=
":"
.
join
([
device
,
index
])
pre_device
=
switch_device
(
device
)
try
:
yield
...
...
python/paddle/fluid/tests/unittests/test_device_guard.py
浏览文件 @
29de0d97
...
...
@@ -59,6 +59,31 @@ class TestDeviceGuard(unittest.TestCase):
execute
(
main_program
,
startup_program
)
def
test_device_guard_with_id
(
self
):
main_program
=
fluid
.
Program
()
startup_program
=
fluid
.
Program
()
with
fluid
.
program_guard
(
main_program
,
startup_program
):
data1
=
fluid
.
layers
.
fill_constant
(
shape
=
[
1
,
3
,
8
,
8
],
value
=
0.5
,
dtype
=
'float32'
)
data2
=
fluid
.
layers
.
fill_constant
(
shape
=
[
1
,
3
,
5
,
5
],
value
=
0.5
,
dtype
=
'float32'
)
shape
=
fluid
.
layers
.
shape
(
data2
)
with
fluid
.
device_guard
(
"cpu"
):
shape
=
fluid
.
layers
.
slice
(
shape
,
axes
=
[
0
],
starts
=
[
0
],
ends
=
[
4
])
with
fluid
.
device_guard
(
"gpu:1"
):
out
=
fluid
.
layers
.
crop_tensor
(
data1
,
shape
=
shape
)
# check if the device attr is set correctly
all_ops
=
main_program
.
global_block
().
ops
device_attr_name
=
core
.
op_proto_and_checker_maker
.
kOpDeviceAttrName
()
for
op
in
all_ops
:
if
op
.
type
==
'slice'
:
self
.
assertEqual
(
op
.
desc
.
attr
(
device_attr_name
),
"cpu"
)
if
op
.
type
==
'crop_tensor'
:
self
.
assertEqual
(
op
.
desc
.
attr
(
device_attr_name
),
"gpu:1"
)
execute
(
main_program
,
startup_program
)
def
test_cpu_only_op
(
self
):
main_program
=
fluid
.
Program
()
startup_program
=
fluid
.
Program
()
...
...
@@ -123,7 +148,13 @@ class TestDeviceGuard(unittest.TestCase):
out
=
fluid
.
layers
.
fill_constant
(
shape
=
[
1
],
value
=
0.2
,
dtype
=
'float32'
)
def
device_attr2
():
with
fluid
.
device_guard
(
"cpu:1"
):
out
=
fluid
.
layers
.
fill_constant
(
shape
=
[
1
],
value
=
0.2
,
dtype
=
'float32'
)
self
.
assertRaises
(
ValueError
,
device_attr
)
self
.
assertRaises
(
ValueError
,
device_attr2
)
def
test_warning
(
self
):
main_program
=
fluid
.
Program
()
...
...
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