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f9077aa4
编写于
7月 23, 2020
作者:
J
jiweibo
浏览文件
操作
浏览文件
下载
电子邮件补丁
差异文件
update for subgraph. test=develop
上级
47ebc8c4
变更
6
显示空白变更内容
内联
并排
Showing
6 changed file
with
31 addition
and
25 deletion
+31
-25
lite/api/cxx_api.cc
lite/api/cxx_api.cc
+1
-1
lite/api/cxx_api.h
lite/api/cxx_api.h
+8
-6
lite/api/cxx_api_impl.cc
lite/api/cxx_api_impl.cc
+9
-9
lite/backends/cuda/stream_guard.h
lite/backends/cuda/stream_guard.h
+1
-1
lite/core/program.cc
lite/core/program.cc
+3
-3
lite/core/program.h
lite/core/program.h
+9
-5
未找到文件。
lite/api/cxx_api.cc
浏览文件 @
f9077aa4
...
...
@@ -357,7 +357,7 @@ void Predictor::GenRuntimeProgram() {
program_generated_
=
true
;
#ifdef LITE_WITH_CUDA
if
(
!
cuda_use_multi_stream_
)
{
program_
->
UpdateCuda
Context
(
cuda_exec_stream_
,
cuda_io_stream_
);
program_
->
UpdateCuda
Stream
(
cuda_exec_stream_
,
cuda_io_stream_
);
}
#endif
}
...
...
lite/api/cxx_api.h
浏览文件 @
f9077aa4
...
...
@@ -158,10 +158,12 @@ class LITE_API Predictor {
cuda_use_multi_stream_
=
multi_stream
;
}
bool
cuda_use_multi_stream
()
{
return
cuda_use_multi_stream_
;
}
void
set_cuda_exec_stream
(
cudaStream_t
stream
)
{
cuda_exec_stream_
=
stream
;
}
void
set_cuda_io_stream
(
cudaStream_t
stream
)
{
cuda_io_stream_
=
stream
;
}
cudaStream_t
cuda_exec_stream
()
{
return
cuda_exec_stream_
;
}
cudaStream_t
cuda_io_stream
()
{
return
cuda_io_stream_
;
}
void
set_cuda_exec_stream
(
cudaStream_t
*
stream
)
{
cuda_exec_stream_
=
stream
;
}
void
set_cuda_io_stream
(
cudaStream_t
*
stream
)
{
cuda_io_stream_
=
stream
;
}
cudaStream_t
*
cuda_exec_stream
()
{
return
cuda_exec_stream_
;
}
cudaStream_t
*
cuda_io_stream
()
{
return
cuda_io_stream_
;
}
#endif
private:
...
...
@@ -177,8 +179,8 @@ class LITE_API Predictor {
#ifdef LITE_WITH_CUDA
bool
cuda_use_multi_stream_
{
false
};
cudaStream_t
cuda_io_stream_
;
cudaStream_t
cuda_exec_stream_
;
cudaStream_t
*
cuda_io_stream_
{
nullptr
}
;
cudaStream_t
*
cuda_exec_stream_
{
nullptr
}
;
#endif
};
...
...
lite/api/cxx_api_impl.cc
浏览文件 @
f9077aa4
...
...
@@ -135,14 +135,14 @@ void CxxPaddleApiImpl::InitCudaEnv(std::vector<std::string> *passes) {
}
void
CxxPaddleApiImpl
::
SyncCudaInputs
()
{
TargetWrapperCuda
::
RecordEvent
(
cuda_input_event_
,
cuda_io_stream_
->
stream
());
TargetWrapperCuda
::
RecordEvent
(
cuda_input_event_
,
*
cuda_io_stream_
->
stream
());
if
(
cuda_use_multi_stream_
)
{
for
(
int
i
=
0
;
i
<
lite
::
kMaxStream
;
++
i
)
{
TargetWrapperCuda
::
StreamSync
(
cuda_exec_streams_
[
i
].
stream
(),
TargetWrapperCuda
::
StreamSync
(
*
cuda_exec_streams_
[
i
].
stream
(),
cuda_input_event_
);
}
}
else
{
TargetWrapperCuda
::
StreamSync
(
cuda_exec_stream_
->
stream
(),
TargetWrapperCuda
::
StreamSync
(
*
cuda_exec_stream_
->
stream
(),
cuda_input_event_
);
}
}
...
...
@@ -151,14 +151,14 @@ void CxxPaddleApiImpl::SyncCudaOutputs() {
if
(
cuda_use_multi_stream_
)
{
for
(
size_t
i
=
0
;
i
<
cuda_output_events_
.
size
();
++
i
)
{
TargetWrapperCuda
::
RecordEvent
(
cuda_output_events_
[
i
],
cuda_exec_streams_
[
i
].
stream
());
TargetWrapperCuda
::
StreamSync
(
cuda_io_stream_
->
stream
(),
*
cuda_exec_streams_
[
i
].
stream
());
TargetWrapperCuda
::
StreamSync
(
*
cuda_io_stream_
->
stream
(),
cuda_output_events_
[
i
]);
}
}
else
{
TargetWrapperCuda
::
RecordEvent
(
cuda_output_events_
[
0
],
cuda_exec_stream_
->
stream
());
TargetWrapperCuda
::
StreamSync
(
cuda_io_stream_
->
stream
(),
*
cuda_exec_stream_
->
stream
());
TargetWrapperCuda
::
StreamSync
(
*
cuda_io_stream_
->
stream
(),
cuda_output_events_
[
0
]);
}
}
...
...
@@ -168,7 +168,7 @@ std::unique_ptr<lite_api::Tensor> CxxPaddleApiImpl::GetInput(int i) {
auto
*
x
=
raw_predictor_
->
GetInput
(
i
);
#ifdef LITE_WITH_CUDA
return
std
::
unique_ptr
<
lite_api
::
Tensor
>
(
new
lite_api
::
Tensor
(
x
,
cuda_io_stream_
->
stream
()));
new
lite_api
::
Tensor
(
x
,
*
cuda_io_stream_
->
stream
()));
#else
return
std
::
unique_ptr
<
lite_api
::
Tensor
>
(
new
lite_api
::
Tensor
(
x
));
#endif
...
...
@@ -179,7 +179,7 @@ std::unique_ptr<const lite_api::Tensor> CxxPaddleApiImpl::GetOutput(
const
auto
*
x
=
raw_predictor_
->
GetOutput
(
i
);
#ifdef LITE_WITH_CUDA
return
std
::
unique_ptr
<
lite_api
::
Tensor
>
(
new
lite_api
::
Tensor
(
x
,
cuda_io_stream_
->
stream
()));
new
lite_api
::
Tensor
(
x
,
*
cuda_io_stream_
->
stream
()));
#else
return
std
::
unique_ptr
<
lite_api
::
Tensor
>
(
new
lite_api
::
Tensor
(
x
));
#endif
...
...
lite/backends/cuda/stream_guard.h
浏览文件 @
f9077aa4
...
...
@@ -44,7 +44,7 @@ class CudaStreamGuard {
lite
::
TargetWrapperCuda
::
DestroyStream
(
stream_
);
}
}
cudaStream_t
stream
()
{
return
stream_
;
}
cudaStream_t
*
stream
()
{
return
&
stream_
;
}
bool
owned
()
{
return
owned_
;
}
private:
...
...
lite/core/program.cc
浏览文件 @
f9077aa4
...
...
@@ -243,9 +243,9 @@ RuntimeProgram::RuntimeProgram(
}
#ifdef LITE_WITH_CUDA
void
RuntimeProgram
::
UpdateCuda
Context
(
cudaStream_t
exec
,
cudaStream_t
io
)
{
for
(
auto
&
inst
:
instructions_
)
{
inst
.
UpdateCuda
Context
(
exec
,
io
);
void
RuntimeProgram
::
UpdateCuda
Stream
(
cudaStream_t
*
exec
,
cudaStream_t
*
io
)
{
for
(
auto
&
inst
:
instructions_
[
kRootBlockIdx
]
)
{
inst
.
UpdateCuda
Stream
(
exec
,
io
);
}
}
#endif
...
...
lite/core/program.h
浏览文件 @
f9077aa4
...
...
@@ -140,10 +140,14 @@ struct Instruction {
}
}
void
Sync
()
const
{
kernel_
->
mutable_context
()
->
As
<
CUDAContext
>
().
Sync
();
}
void
UpdateCuda
Context
(
cudaStream_t
exec
,
cudaStream_t
io
)
{
void
UpdateCuda
Stream
(
cudaStream_t
*
exec
,
cudaStream_t
*
io
)
{
if
(
kernel_
->
target
()
==
TargetType
::
kCUDA
)
{
kernel_
->
mutable_context
()
->
As
<
CUDAContext
>
().
SetExecStream
(
exec
);
kernel_
->
mutable_context
()
->
As
<
CUDAContext
>
().
SetIoStream
(
io
);
if
(
exec
)
{
kernel_
->
mutable_context
()
->
As
<
CUDAContext
>
().
SetExecStream
(
*
exec
);
}
if
(
io
)
{
kernel_
->
mutable_context
()
->
As
<
CUDAContext
>
().
SetIoStream
(
*
io
);
}
}
}
#endif
...
...
@@ -245,9 +249,9 @@ class LITE_API RuntimeProgram {
void
SaveToProgram
(
std
::
shared_ptr
<
cpp
::
ProgramDesc
>
program_desc
);
#ifdef LITE_WITH_CUDA
// UpdateCuda
Context
will update the exec stream and io stream of all kernels
// UpdateCuda
Stream
will update the exec stream and io stream of all kernels
// in the program.
void
UpdateCuda
Context
(
cudaStream_t
exec
,
cudaStream_t
io
);
void
UpdateCuda
Stream
(
cudaStream_t
*
exec
,
cudaStream_t
*
io
);
#endif
private:
...
...
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