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6c4d1f55
编写于
10月 03, 2017
作者:
Q
qijun
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
refine codes
上级
e946fc15
变更
7
隐藏空白更改
内联
并排
Showing
7 changed file
with
188 addition
and
86 deletion
+188
-86
paddle/framework/CMakeLists.txt
paddle/framework/CMakeLists.txt
+6
-2
paddle/framework/executor.cc
paddle/framework/executor.cc
+22
-22
paddle/framework/executor.h
paddle/framework/executor.h
+2
-2
paddle/framework/executor_test.cc
paddle/framework/executor_test.cc
+60
-43
paddle/platform/CMakeLists.txt
paddle/platform/CMakeLists.txt
+1
-1
paddle/platform/device_context_manager.cc
paddle/platform/device_context_manager.cc
+68
-0
paddle/platform/device_context_manager.h
paddle/platform/device_context_manager.h
+29
-16
未找到文件。
paddle/framework/CMakeLists.txt
浏览文件 @
6c4d1f55
...
@@ -44,8 +44,12 @@ add_custom_command(TARGET framework_py_proto POST_BUILD
...
@@ -44,8 +44,12 @@ add_custom_command(TARGET framework_py_proto POST_BUILD
cc_library
(
backward SRCS backward.cc DEPS net_op
)
cc_library
(
backward SRCS backward.cc DEPS net_op
)
cc_test
(
backward_test SRCS backward_test.cc DEPS backward recurrent_op device_context
)
cc_test
(
backward_test SRCS backward_test.cc DEPS backward recurrent_op device_context
)
cc_library
(
executor SRCS executor.cc DEPS op_registry device scope framework_proto
${
GLOB_OP_LIB
}
)
cc_library
(
executor SRCS executor.cc DEPS op_registry device_context_manager scope framework_proto
${
GLOB_OP_LIB
}
)
cc_test
(
executor_test SRCS executor_test.cc DEPS executor
)
if
(
WITH_GPU
)
nv_test
(
executor_test SRCS executor_test.cc DEPS executor
)
else
()
cc_test
(
executor_test SRCS executor_test.cc DEPS executor
)
endif
()
cc_library
(
tensor_array SRCS tensor_array.cc DEPS lod_tensor
)
cc_library
(
tensor_array SRCS tensor_array.cc DEPS lod_tensor
)
cc_test
(
tensor_array_test SRCS tensor_array_test.cc DEPS tensor_array place
)
cc_test
(
tensor_array_test SRCS tensor_array_test.cc DEPS tensor_array place
)
paddle/framework/executor.cc
浏览文件 @
6c4d1f55
...
@@ -22,9 +22,21 @@ namespace paddle {
...
@@ -22,9 +22,21 @@ namespace paddle {
namespace
framework
{
namespace
framework
{
Executor
::
Executor
(
const
std
::
vector
<
platform
::
Place
>&
places
)
{
Executor
::
Executor
(
const
std
::
vector
<
platform
::
Place
>&
places
)
{
devices_
.
resize
(
places
.
size
());
device
_context
s_
.
resize
(
places
.
size
());
for
(
size_t
i
=
0
;
i
<
places
.
size
();
i
++
)
{
for
(
size_t
i
=
0
;
i
<
places
.
size
();
i
++
)
{
devices_
[
i
]
=
platform
::
GetDevice
(
places
[
i
]);
if
(
platform
::
is_cpu_place
(
places
[
i
]))
{
device_contexts_
[
i
]
=
platform
::
DeviceContextManager
::
Get
()
->
GetDeviceContext
<
platform
::
CPUPlace
>
(
boost
::
get
<
platform
::
CPUPlace
>
(
places
[
i
]));
}
else
{
#ifndef PADDLE_ONLY_CPU
device_contexts_
[
i
]
=
platform
::
DeviceContextManager
::
Get
()
->
GetDeviceContext
<
platform
::
GPUPlace
>
(
boost
::
get
<
platform
::
GPUPlace
>
(
places
[
i
]));
#else
PADDLE_THROW
(
"'GPUPlace' is not supported in CPU only device."
);
#endif
}
}
}
}
}
...
@@ -34,37 +46,25 @@ void Executor::Run(const ProgramDesc& pdesc, Scope* scope,
...
@@ -34,37 +46,25 @@ void Executor::Run(const ProgramDesc& pdesc, Scope* scope,
// TODO(tonyyang-svail):
// TODO(tonyyang-svail):
// - only runs the first block
// - only runs the first block
// - only runs on the first device
// - only runs on the first device
Scope
&
local_scope
=
scope
->
NewScope
();
auto
&
block
=
pdesc
.
blocks
(
0
);
auto
&
block
=
pdesc
.
blocks
(
0
);
auto
&
device
=
device
s_
[
0
];
auto
&
device
_context
=
device_context
s_
[
0
];
for
(
auto
&
var
:
block
.
vars
())
{
for
(
auto
&
var
:
block
.
vars
())
{
scope
->
NewVar
(
var
.
name
());
local_scope
.
NewVar
(
var
.
name
());
}
}
// std::vector<op_ptr> ops;
// std::vector<op_ptr> ops;
for
(
auto
&
op_desc
:
block
.
ops
())
{
for
(
auto
&
op_desc
:
block
.
ops
())
{
auto
op
=
framework
::
OpRegistry
::
CreateOp
(
op_desc
);
auto
op
=
framework
::
OpRegistry
::
CreateOp
(
op_desc
);
//
op->InferShape(*scope);
//
InferShape is now doing inside Run method.
op
->
Run
(
*
scope
,
*
device
->
cpu_
device_context
);
op
->
Run
(
local_scope
,
*
device_context
);
}
}
// TODO(tonyyang-svail): need to test gpu device
// TODO(tonyyang-svail): need to test gpu device
// device_->cpu_device_context->Wait();
for
(
auto
device_context
:
device_contexts_
)
{
// #ifndef PADDLE_ONLY_CPU
device_context
->
Wait
();
// if (device_->cuda_device_context) {
// device_->cuda_device_context->Wait();
// }
// #endif
Scope
&
local_scope
=
scope
->
NewScope
();
local_scope
.
NewVar
();
for
(
auto
device
:
devices_
)
{
device
->
cpu_device_context
->
Wait
();
#ifndef PADDLE_ONLY_CPU
if
(
device
->
cuda_device_context
)
{
device
->
cuda_device_context
->
Wait
();
}
#endif
}
}
}
}
...
...
paddle/framework/executor.h
浏览文件 @
6c4d1f55
...
@@ -18,7 +18,7 @@ limitations under the License. */
...
@@ -18,7 +18,7 @@ limitations under the License. */
#include "paddle/framework/op_info.h"
#include "paddle/framework/op_info.h"
#include "paddle/framework/scope.h"
#include "paddle/framework/scope.h"
#include "paddle/framework/tensor.h"
#include "paddle/framework/tensor.h"
#include "paddle/platform/device.h"
#include "paddle/platform/device
_context_manager
.h"
namespace
paddle
{
namespace
paddle
{
namespace
framework
{
namespace
framework
{
...
@@ -30,7 +30,7 @@ class Executor {
...
@@ -30,7 +30,7 @@ class Executor {
void
Run
(
const
ProgramDesc
&
,
Scope
*
,
std
::
vector
<
Tensor
>*
);
void
Run
(
const
ProgramDesc
&
,
Scope
*
,
std
::
vector
<
Tensor
>*
);
private:
private:
std
::
vector
<
platform
::
Device
*>
device
s_
;
std
::
vector
<
platform
::
Device
Context
*>
device_context
s_
;
};
};
}
// namespace framework
}
// namespace framework
...
...
paddle/framework/executor_test.cc
浏览文件 @
6c4d1f55
...
@@ -15,8 +15,6 @@ limitations under the License. */
...
@@ -15,8 +15,6 @@ limitations under the License. */
#include "paddle/framework/executor.h"
#include "paddle/framework/executor.h"
#include "gtest/gtest.h"
#include "gtest/gtest.h"
#include "paddle/framework/attribute.h"
#include "paddle/framework/attribute.h"
#include <gtest/gtest.h>
#include "paddle/framework/grad_op_builder.h"
#include "paddle/framework/grad_op_builder.h"
#include "paddle/framework/op_registry.h"
#include "paddle/framework/op_registry.h"
#include "paddle/framework/operator.h"
#include "paddle/framework/operator.h"
...
@@ -26,52 +24,71 @@ USE_OP(elementwise_add);
...
@@ -26,52 +24,71 @@ USE_OP(elementwise_add);
using
namespace
paddle
::
platform
;
using
namespace
paddle
::
platform
;
using
namespace
paddle
::
framework
;
using
namespace
paddle
::
framework
;
TEST
(
Executor
,
Init
)
{
class
ExecutorTester
:
public
::
testing
::
Test
{
ProgramDesc
pdesc
;
public:
virtual
void
SetUp
()
override
{
auto
root_block
=
pdesc
.
add_blocks
();
auto
root_block
=
pdesc_
.
add_blocks
();
root_block
->
set_idx
(
0
);
root_block
->
set_idx
(
0
);
root_block
->
set_parent_idx
(
-
1
);
root_block
->
set_parent_idx
(
-
1
);
auto
a
=
root_block
->
add_vars
();
auto
a
=
root_block
->
add_vars
();
a
->
set_name
(
"a"
);
a
->
set_name
(
"a"
);
auto
a_lt
=
a
->
mutable_lod_tensor
();
auto
a_lt
=
a
->
mutable_lod_tensor
();
a_lt
->
set_data_type
(
paddle
::
framework
::
DataType
::
FP32
);
a_lt
->
set_data_type
(
paddle
::
framework
::
DataType
::
FP32
);
a_lt
->
add_dims
(
640
);
a_lt
->
add_dims
(
640
);
a_lt
->
add_dims
(
640
);
a_lt
->
add_dims
(
640
);
auto
b
=
root_block
->
add_vars
();
auto
b
=
root_block
->
add_vars
();
b
->
set_name
(
"b"
);
b
->
set_name
(
"b"
);
auto
b_lt
=
b
->
mutable_lod_tensor
();
auto
b_lt
=
b
->
mutable_lod_tensor
();
b_lt
->
set_data_type
(
paddle
::
framework
::
DataType
::
FP32
);
b_lt
->
set_data_type
(
paddle
::
framework
::
DataType
::
FP32
);
b_lt
->
add_dims
(
640
);
b_lt
->
add_dims
(
640
);
b_lt
->
add_dims
(
640
);
b_lt
->
add_dims
(
640
);
auto
c
=
root_block
->
add_vars
();
auto
c
=
root_block
->
add_vars
();
c
->
set_name
(
"c"
);
c
->
set_name
(
"c"
);
auto
c_lt
=
c
->
mutable_lod_tensor
();
auto
c_lt
=
c
->
mutable_lod_tensor
();
c_lt
->
set_data_type
(
paddle
::
framework
::
DataType
::
FP32
);
c_lt
->
set_data_type
(
paddle
::
framework
::
DataType
::
FP32
);
c_lt
->
add_dims
(
640
);
c_lt
->
add_dims
(
640
);
c_lt
->
add_dims
(
640
);
c_lt
->
add_dims
(
640
);
auto
op1
=
root_block
->
add_ops
();
auto
op1
=
root_block
->
add_ops
();
op1
->
set_type
(
"elementwise_add"
);
op1
->
set_type
(
"elementwise_add"
);
auto
X
=
op1
->
add_inputs
();
auto
X
=
op1
->
add_inputs
();
X
->
set_parameter
(
"X"
);
X
->
set_parameter
(
"X"
);
X
->
add_arguments
(
"a"
);
X
->
add_arguments
(
"a"
);
auto
Y
=
op1
->
add_inputs
();
auto
Y
=
op1
->
add_inputs
();
Y
->
set_parameter
(
"Y"
);
Y
->
set_parameter
(
"Y"
);
Y
->
add_arguments
(
"b"
);
Y
->
add_arguments
(
"b"
);
}
CPUPlace
cpu_place1
,
cpu_place2
;
protected:
std
::
vector
<
Tensor
>*
outputs_
{
nullptr
};
ProgramDesc
pdesc_
;
Scope
scope_
;
};
TEST_F
(
ExecutorTester
,
InitCPU
)
{
std
::
vector
<
Place
>
places
;
std
::
vector
<
Place
>
places
;
CPUPlace
cpu_place1
,
cpu_place2
;
places
.
push_back
(
cpu_place1
);
places
.
push_back
(
cpu_place1
);
places
.
push_back
(
cpu_place2
);
places
.
push_back
(
cpu_place2
);
Executor
*
executor
=
new
Executor
(
places
);
Executor
*
executor
=
new
Executor
(
places
);
Scope
s
;
executor
->
Run
(
pdesc_
,
&
scope_
,
outputs_
);
std
::
vector
<
Tensor
>*
outputs
{
nullptr
};
delete
executor
;
executor
->
Run
(
pdesc
,
&
s
,
outputs
);
}
#ifndef PADDLE_ONLY_CPU
TEST_F
(
ExecutorTester
,
InitGPU
)
{
std
::
vector
<
Place
>
places
;
GPUPlace
gpu_place0
(
0
);
GPUPlace
gpu_place1
(
1
);
places
.
push_back
(
gpu_place0
);
places
.
push_back
(
gpu_place1
);
Executor
*
executor
=
new
Executor
(
places
);
executor
->
Run
(
pdesc_
,
&
scope_
,
outputs_
);
delete
executor
;
delete
executor
;
}
}
#endif
paddle/platform/CMakeLists.txt
浏览文件 @
6c4d1f55
...
@@ -23,7 +23,7 @@ cc_library(device_context SRCS device_context.cc DEPS memory buddy_allocator
...
@@ -23,7 +23,7 @@ cc_library(device_context SRCS device_context.cc DEPS memory buddy_allocator
system_allocator memory_block meta_data meta_cache place eigen3
${
GPU_CTX_DEPS
}
)
system_allocator memory_block meta_data meta_cache place eigen3
${
GPU_CTX_DEPS
}
)
nv_test
(
device_context_test SRCS device_context_test.cc DEPS device_context gpu_info
)
nv_test
(
device_context_test SRCS device_context_test.cc DEPS device_context gpu_info
)
cc_library
(
device
SRCS device
.cc DEPS device_context
)
cc_library
(
device
_context_manager SRCS device_context_manager
.cc DEPS device_context
)
nv_test
(
cudnn_helper_test SRCS cudnn_helper_test.cc DEPS dynload_cuda
)
nv_test
(
cudnn_helper_test SRCS cudnn_helper_test.cc DEPS dynload_cuda
)
nv_test
(
transform_test SRCS transform_test.cu DEPS paddle_memory place device_context
)
nv_test
(
transform_test SRCS transform_test.cu DEPS paddle_memory place device_context
)
paddle/platform/device.cc
→
paddle/platform/device
_context_manager
.cc
浏览文件 @
6c4d1f55
...
@@ -12,48 +12,57 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
...
@@ -12,48 +12,57 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
See the License for the specific language governing permissions and
limitations under the License. */
limitations under the License. */
#include "paddle/platform/device.h"
#include "paddle/platform/device
_context_manager
.h"
namespace
paddle
{
namespace
paddle
{
namespace
platform
{
namespace
platform
{
template
<
typename
T
,
typename
...
Args
>
DeviceContextManager
::
DeviceContextManager
()
{
std
::
unique_ptr
<
T
>
make_unique
(
Args
&&
...
args
)
{
#ifndef PADDLE_ONLY_CPU
return
std
::
unique_ptr
<
T
>
(
new
T
(
std
::
forward
<
Args
>
(
args
)...));
device_count_
=
GetDeviceCount
();
cuda_contexts_
.
reserve
(
device_count_
);
for
(
int
i
=
0
;
i
<
device_count_
;
i
++
)
{
cuda_contexts_
[
i
]
=
nullptr
;
}
#endif
}
}
CPUDeviceContext
*
GetCPUDeviceContext
(
const
CPUPlace
&
place
)
{
template
<
>
static
std
::
unique_ptr
<
CPUDeviceContext
>
g_cpu_device_context
=
CPUDeviceContext
*
DeviceContextManager
::
GetDeviceContext
<
make_unique
<
CPUDeviceContext
>
(
place
);
CPUPlace
,
CPUDeviceContext
>
(
const
CPUPlace
&
place
)
{
return
g_cpu_device_context
.
get
();
if
(
!
cpu_context_
)
{
cpu_context_
=
new
CPUDeviceContext
(
place
);
}
return
cpu_context_
;
}
}
#ifndef PADDLE_ONLY_CPU
#ifndef PADDLE_ONLY_CPU
CUDADeviceContext
*
GetCUDADeviceContext
(
const
GPUPlace
&
place
)
{
template
<
>
static
std
::
unique_ptr
<
CUDADeviceContext
>
g_cuda_device_context
=
CUDADeviceContext
*
DeviceContextManager
::
GetDeviceContext
<
make_unique
<
CUDADeviceContext
>
(
place
);
GPUPlace
,
CUDADeviceContext
>
(
const
GPUPlace
&
place
)
{
return
g_cuda_device_context
.
get
();
int
gpu_id
=
place
.
device
;
PADDLE_ENFORCE
(
gpu_id
<
device_count_
,
"GPU device id must less than device count"
);
SetDeviceId
(
gpu_id
);
if
(
!
cuda_contexts_
[
gpu_id
])
{
cuda_contexts_
[
gpu_id
]
=
new
CUDADeviceContext
(
place
);
}
return
cuda_contexts_
[
gpu_id
];
}
}
#endif
#endif
Device
*
GetDevice
(
const
Place
&
place
)
{
DeviceContextManager
::~
DeviceContextManager
()
{
CPUPlace
cpu_place
;
if
(
cpu_context_
)
{
delete
cpu_context_
;
}
#ifndef PADDLE_ONLY_CPU
#ifndef PADDLE_ONLY_CPU
if
(
is_gpu_place
(
place
))
{
for
(
int
i
=
0
;
i
<
device_count_
;
i
++
)
{
GPUPlace
gpu_place
=
boost
::
get
<
GPUPlace
>
(
place
);
if
(
cuda_contexts_
[
i
])
{
static
std
::
unique_ptr
<
Device
>
g_device
=
make_unique
<
Device
>
(
delete
cuda_contexts_
[
i
];
GetCPUDeviceContext
(
cpu_place
),
GetCUDADeviceContext
(
gpu_place
));
}
return
g_device
.
get
();
}
else
{
static
std
::
unique_ptr
<
Device
>
g_device
=
make_unique
<
Device
>
(
GetCPUDeviceContext
(
cpu_place
),
nullptr
);
return
g_device
.
get
();
}
}
#else
static
std
::
unique_ptr
<
Device
>
g_device
=
make_unique
<
Device
>
(
GetCPUDeviceContext
(
cpu_place
));
return
g_device
.
get
();
#endif
#endif
}
}
}
// namespace platform
}
// namespace platform
}
// namespace paddle
}
// namespace paddle
paddle/platform/device.h
→
paddle/platform/device
_context_manager
.h
浏览文件 @
6c4d1f55
...
@@ -13,33 +13,46 @@ See the License for the specific language governing permissions and
...
@@ -13,33 +13,46 @@ See the License for the specific language governing permissions and
limitations under the License. */
limitations under the License. */
#pragma once
#pragma once
#include "paddle/platform/device_context.h"
#include "paddle/platform/device_context.h"
#include "paddle/platform/place.h"
namespace
paddle
{
namespace
paddle
{
namespace
platform
{
namespace
platform
{
struct
Device
{
template
<
typename
T
>
CPUDeviceContext
*
cpu_device_context
;
struct
Converter
;
#ifndef PADDLE_ONLY_CPU
CUDADeviceContext
*
cuda_device_context
;
template
<
>
#endif
struct
Converter
<
CPUPlace
>
{
using
DeviceContextType
=
CPUDeviceContext
;
};
#ifndef PADDLE_ONLY_CPU
#ifndef PADDLE_ONLY_CPU
Device
(
CPUDeviceContext
*
cpu
,
CUDADeviceContext
*
gpu
)
template
<
>
:
cpu_device_context
(
cpu
),
cuda_device_context
(
gpu
)
{}
struct
Converter
<
GPUPlace
>
{
#else
using
DeviceContextType
=
CUDADeviceContext
;
explicit
Device
(
CPUDeviceContext
*
cpu
)
:
cpu_device_context
(
cpu
)
{}
#endif
};
};
#endif
class
DeviceContextManager
{
public:
DeviceContextManager
();
~
DeviceContextManager
();
template
<
typename
PlaceType
,
typename
DeviceType
=
typename
Converter
<
PlaceType
>
::
DeviceContextType
>
DeviceType
*
GetDeviceContext
(
const
PlaceType
&
place
);
CPUDeviceContext
*
GetCPUDeviceContext
(
const
platform
::
CPUPlace
&
place
);
static
DeviceContextManager
*
Get
()
{
static
DeviceContextManager
inst
;
return
&
inst
;
}
private:
CPUDeviceContext
*
cpu_context_
;
#ifndef PADDLE_ONLY_CPU
#ifndef PADDLE_ONLY_CPU
CUDADeviceContext
*
GetCUDADeviceContext
(
const
platform
::
GPUPlace
&
place
);
int
device_count_
;
std
::
vector
<
CUDADeviceContext
*>
cuda_contexts_
;
#endif
#endif
};
Device
*
GetDevice
(
const
platform
::
Place
&
place
);
}
// namespace platform
}
// namespace platform
}
// namespace paddle
}
// namespace paddle
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