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5c333e41
编写于
3月 21, 2018
作者:
Y
Yu Yang
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
Add dctor for dev_ctx
上级
15f5f10e
变更
4
隐藏空白更改
内联
并排
Showing
4 changed file
with
31 addition
and
50 deletion
+31
-50
paddle/fluid/framework/parallel_executor.cc
paddle/fluid/framework/parallel_executor.cc
+8
-19
paddle/fluid/platform/device_context.cc
paddle/fluid/platform/device_context.cc
+18
-16
paddle/fluid/platform/device_context.h
paddle/fluid/platform/device_context.h
+3
-14
paddle/fluid/platform/place.h
paddle/fluid/platform/place.h
+2
-1
未找到文件。
paddle/fluid/framework/parallel_executor.cc
浏览文件 @
5c333e41
...
...
@@ -35,18 +35,18 @@ using details::VarHandleBase;
class
ParallelExecutorPrivate
{
public:
explicit
ParallelExecutorPrivate
(
size_t
num_threads
)
:
pool_
(
num_threads
<=
1
?
nullptr
:
new
ThreadPool
(
num_threads
))
{}
explicit
ParallelExecutorPrivate
(
size_t
num_threads
,
const
std
::
vector
<
platform
::
Place
>
&
places
)
:
places_
(
places
),
fetch_dev_ctxs_
(
places
),
pool_
(
num_threads
<=
1
?
nullptr
:
new
ThreadPool
(
num_threads
))
{}
std
::
vector
<
platform
::
Place
>
places_
;
platform
::
DeviceContextPool
fetch_dev_ctxs_
;
std
::
vector
<
Scope
*>
local_scopes_
;
Scope
*
global_scope_
;
std
::
unique_ptr
<
platform
::
NCCLContextMap
>
nccl_ctxs_
;
std
::
unordered_map
<
platform
::
Place
,
platform
::
DeviceContext
*
,
platform
::
PlaceHash
>
fetch_dev_ctxs_
;
platform
::
Place
main_place_
;
...
...
@@ -219,20 +219,9 @@ ParallelExecutor::ParallelExecutor(
const
std
::
unordered_set
<
std
::
string
>
&
params
,
const
ProgramDesc
&
startup_program
,
const
ProgramDesc
&
main_program
,
const
std
::
string
&
loss_var_name
,
Scope
*
scope
)
:
member_
(
new
ParallelExecutorPrivate
(
num_threads
))
{
member_
->
places_
=
places
;
:
member_
(
new
ParallelExecutorPrivate
(
num_threads
,
places
))
{
member_
->
global_scope_
=
scope
;
if
(
platform
::
is_cpu_place
(
places
[
0
]))
{
member_
->
fetch_dev_ctxs_
[
places
[
0
]]
=
const_cast
<
platform
::
DeviceContext
*>
(
platform
::
DeviceContextPool
::
Instance
().
Get
(
places
[
0
]));
}
else
{
for
(
auto
&
p
:
member_
->
places_
)
{
member_
->
fetch_dev_ctxs_
[
p
]
=
new
platform
::
CUDADeviceContext
(
boost
::
get
<
platform
::
CUDAPlace
>
(
p
));
}
}
// Step 1. RunStartupProgram and Bcast the params to devs.
Executor
exe
(
places
[
0
]);
exe
.
Run
(
startup_program
,
scope
,
0
);
...
...
@@ -509,7 +498,7 @@ void ParallelExecutor::Run(const std::vector<std::string> &fetch_tensors,
// FIXME: Use new device context
for
(
auto
&
p
:
member_
->
places_
)
{
op
->
dev_ctx_
[
p
]
=
member_
->
fetch_dev_ctxs_
[
p
]
;
op
->
dev_ctx_
[
p
]
=
member_
->
fetch_dev_ctxs_
.
Get
(
p
)
;
}
for
(
auto
*
var
:
vars
)
{
...
...
paddle/fluid/platform/device_context.cc
浏览文件 @
5c333e41
...
...
@@ -10,43 +10,45 @@ See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/fluid/platform/device_context.h"
#include <unordered_set>
#include "paddle/fluid/memory/memory.h"
namespace
paddle
{
namespace
platform
{
DeviceContextPool
*
DeviceContextPool
::
pool
=
nullptr
;
const
platform
::
DeviceContext
*
DeviceContextPool
::
Get
(
const
platform
::
Place
&
place
)
{
platform
::
DeviceContext
*
DeviceContextPool
::
Get
(
const
platform
::
Place
&
place
)
{
auto
it
=
device_contexts_
.
find
(
place
);
if
(
it
==
device_contexts_
.
end
())
{
PADDLE_THROW
(
"'Place' is not supported, Please re-compile with WITH_GPU "
"option"
);
}
return
it
->
second
;
return
it
->
second
.
get
()
;
}
DeviceContextPool
::
DeviceContextPool
(
const
std
::
vector
<
platform
::
Place
>&
places
)
{
PADDLE_ENFORCE_GT
(
places
.
size
(),
0
);
for
(
size_t
i
=
0
;
i
<
places
.
size
();
i
++
)
{
if
(
platform
::
is_cpu_place
(
places
[
i
]))
{
using
PtrType
=
std
::
unique_ptr
<
DeviceContext
>
;
std
::
unordered_set
<
Place
,
PlaceHash
>
set
;
for
(
auto
&
p
:
places
)
{
set
.
insert
(
p
);
}
for
(
auto
&
p
:
set
)
{
if
(
platform
::
is_cpu_place
(
p
))
{
#ifdef PADDLE_WITH_MKLDNN
device_contexts_
.
emplace
(
places
[
i
],
new
platform
::
MKLDNNDeviceContext
(
boost
::
get
<
platform
::
CPUPlace
>
(
places
[
i
])));
device_contexts_
.
emplace
(
p
,
PtrType
(
new
MKLDNNDeviceContext
(
boost
::
get
<
CPUPlace
>
(
p
))));
#else
device_contexts_
.
emplace
(
places
[
i
],
new
platform
::
CPUDeviceContext
(
boost
::
get
<
platform
::
CPUPlace
>
(
places
[
i
])));
device_contexts_
.
emplace
(
p
,
PtrType
(
new
CPUDeviceContext
(
boost
::
get
<
CPUPlace
>
(
p
))));
#endif
}
else
if
(
platform
::
is_gpu_place
(
p
laces
[
i
]
))
{
}
else
if
(
platform
::
is_gpu_place
(
p
))
{
#ifdef PADDLE_WITH_CUDA
device_contexts_
.
emplace
(
places
[
i
],
new
platform
::
CUDADeviceContext
(
boost
::
get
<
platform
::
CUDAPlace
>
(
places
[
i
])));
device_contexts_
.
emplace
(
p
,
PtrType
(
new
CUDADeviceContext
(
boost
::
get
<
CUDAPlace
>
(
p
))));
#else
PADDLE_THROW
(
"'CUDAPlace' is not supported, Please re-compile with WITH_GPU "
...
...
paddle/fluid/platform/device_context.h
浏览文件 @
5c333e41
...
...
@@ -160,7 +160,7 @@ class DeviceContextPool {
}
/*! \brief Return handle of single device context. */
const
platform
::
DeviceContext
*
Get
(
const
platform
::
Place
&
place
);
platform
::
DeviceContext
*
Get
(
const
platform
::
Place
&
place
);
template
<
typename
Place
>
const
typename
DefaultDeviceContextType
<
Place
>::
TYPE
*
GetByPlace
(
...
...
@@ -173,19 +173,8 @@ class DeviceContextPool {
private:
static
DeviceContextPool
*
pool
;
constexpr
static
int
LEFT_SHIFT
=
8
;
struct
Hash
{
std
::
hash
<
int
>
hash_
;
size_t
operator
()(
const
platform
::
Place
&
place
)
const
{
int
pre_hash
=
place
.
which
()
<<
LEFT_SHIFT
;
if
(
platform
::
is_gpu_place
(
place
))
{
pre_hash
+=
boost
::
get
<
platform
::
CUDAPlace
>
(
place
).
GetDeviceId
();
}
return
hash_
(
pre_hash
);
}
};
std
::
unordered_map
<
const
platform
::
Place
,
const
platform
::
DeviceContext
*
,
Hash
>
std
::
unordered_map
<
const
platform
::
Place
,
std
::
unique_ptr
<
platform
::
DeviceContext
>
,
PlaceHash
>
device_contexts_
;
DISABLE_COPY_AND_ASSIGN
(
DeviceContextPool
);
};
...
...
paddle/fluid/platform/place.h
浏览文件 @
5c333e41
...
...
@@ -67,12 +67,13 @@ bool is_same_place(const Place &, const Place &);
struct
PlaceHash
{
std
::
size_t
operator
()(
const
Place
&
p
)
const
{
constexpr
size_t
num_dev_bits
=
4
;
std
::
hash
<
int
>
ihash
;
size_t
dev_id
=
0
;
if
(
is_gpu_place
(
p
))
{
dev_id
=
boost
::
get
<
CUDAPlace
>
(
p
).
device
;
}
return
ihash
(
dev_id
<<
2
|
p
.
which
());
return
ihash
(
dev_id
<<
num_dev_bits
|
p
.
which
());
}
};
...
...
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