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a30754b0
编写于
7月 03, 2017
作者:
Q
qijun
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电子邮件补丁
差异文件
test device_context
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3ba7a738
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3 changed file
with
198 addition
and
0 deletion
+198
-0
paddle/platform/CMakeLists.txt
paddle/platform/CMakeLists.txt
+3
-0
paddle/platform/device_context.h
paddle/platform/device_context.h
+166
-0
paddle/platform/device_context_test.cu
paddle/platform/device_context_test.cu
+29
-0
未找到文件。
paddle/platform/CMakeLists.txt
浏览文件 @
a30754b0
...
...
@@ -2,3 +2,6 @@ nv_test(cuda_test SRCS cuda_test.cu)
cc_library
(
place SRCS place.cc
)
cc_test
(
place_test SRCS place_test.cc DEPS place glog gflags
)
cc_library
(
dynamic_loader SRCS dynamic_loader.cc
)
nv_test
(
device_context_test SRCS device_context_test.cu DEPS place dynamic_loader glog gflags
)
paddle/platform/device_context.h
0 → 100644
浏览文件 @
a30754b0
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#ifndef PADDLE_ONLY_CPU
#include "paddle/platform/cublas.h"
#include "paddle/platform/cuda.h"
#include "paddle/platform/cudnn.h"
#include "paddle/platform/curand.h"
#define EIGEN_USE_GPU
#endif
#include "paddle/framework/enforce.h"
#include "paddle/platform/place.h"
#include "unsupported/Eigen/CXX11/Tensor"
namespace
paddle
{
namespace
platform
{
class
DeviceContext
{
public:
virtual
~
DeviceContext
()
{}
};
class
CpuDeviceContext
:
public
DeviceContext
{
Eigen
::
DefaultDevice
eigen_device
()
{
if
(
!
eigen_device_
)
{
eigen_device_
=
new
Eigen
::
DefaultDevice
();
}
return
*
eigen_device_
;
}
private:
Eigen
::
DefaultDevice
*
eigen_device_
{
nullptr
};
};
#ifndef PADDLE_ONLY_CPU
class
DeviceGuard
{
public:
explicit
DeviceGuard
(
GPUPlace
new_place
)
:
previous_
(
GetCurrentDeviceId
())
{
if
(
previous_
!=
new_place
)
{
paddle
::
platform
::
SetDeviceId
(
new_place
.
device
);
}
}
~
DeviceGuard
()
{
paddle
::
platform
::
SetDeviceId
(
previous_
.
device
);
}
private:
GPUPlace
previous_
;
};
class
CudaDeviceContext
:
public
DeviceContext
{
public:
explicit
CudaDeviceContext
(
const
GPUPlace
gpu_place
)
:
gpu_place_
(
gpu_place
)
{
DeviceGuard
guard
(
gpu_place_
);
paddle
::
platform
::
throw_on_error
(
cudaStreamCreate
(
&
stream_
),
"cudaStreamCreate failed"
);
eigen_stream_
=
new
Eigen
::
CudaStreamDevice
(
&
stream_
);
eigen_device_
=
new
Eigen
::
GpuDevice
(
eigen_stream_
);
}
void
Wait
()
{
paddle
::
platform
::
throw_on_error
(
cudaStreamSynchronize
(
stream_
),
"cudaStreamSynchronize failed"
);
}
cudaStream_t
stream
()
{
return
stream_
;
}
Eigen
::
GpuDevice
eigen_device
()
{
return
*
eigen_device_
;
}
cublasHandle_t
cublas_handle
()
{
if
(
!
blas_handle_
)
{
DeviceGuard
guard
(
gpu_place_
);
PADDLE_ENFORCE
(
cublasCreate
(
&
blas_handle_
)
==
CUBLAS_STATUS_SUCCESS
,
"cublasCreate failed"
);
PADDLE_ENFORCE
(
cublasSetStream
(
blas_handle_
,
stream_
)
==
CUBLAS_STATUS_SUCCESS
,
"cublasSetStream failed"
);
}
return
blas_handle_
;
}
cudnnHandle_t
cudnn_handle
()
{
if
(
!
dnn_handle_
)
{
DeviceGuard
guard
(
gpu_place_
);
PADDLE_ENFORCE
(
cudnnCreate
(
&
dnn_handle_
)
==
CUDNN_STATUS_SUCCESS
,
"cudnnCreate failed"
);
PADDLE_ENFORCE
(
cudnnSetStream
(
dnn_handle_
,
stream_
)
==
CUDNN_STATUS_SUCCESS
,
"cudnnSetStream failed"
);
}
return
dnn_handle_
;
}
curandGenerator_t
curand_generator
()
{
if
(
!
rand_generator_
)
{
DeviceGuard
guard
(
gpu_place_
);
PADDLE_ENFORCE
(
curandCreateGenerator
(
&
rand_generator_
,
CURAND_RNG_PSEUDO_DEFAULT
)
==
CURAND_STATUS_SUCCESS
,
"curandCreateGenerator failed"
);
PADDLE_ENFORCE
(
curandSetPseudoRandomGeneratorSeed
(
rand_generator_
,
random_seed_
)
==
CURAND_STATUS_SUCCESS
,
"curandSetPseudoRandomGeneratorSeed failed"
);
PADDLE_ENFORCE
(
curandSetStream
(
rand_generator_
,
stream_
)
==
CURAND_STATUS_SUCCESS
,
"curandSetStream failed"
);
}
return
rand_generator_
;
}
~
CudaDeviceContext
()
{
Wait
();
if
(
blas_handle_
)
{
PADDLE_ENFORCE
(
cublasDestroy
(
blas_handle_
)
==
CUBLAS_STATUS_SUCCESS
,
"cublasDestroy failed"
);
}
if
(
dnn_handle_
)
{
PADDLE_ENFORCE
(
cudnnDestroy
(
dnn_handle_
)
==
CUDNN_STATUS_SUCCESS
,
"cudnnDestroy failed"
);
}
if
(
rand_generator_
)
{
PADDLE_ENFORCE
(
curandDestroyGenerator
(
rand_generator_
)
==
CURAND_STATUS_SUCCESS
,
"curandDestroyGenerator failed"
);
}
delete
eigen_stream_
;
delete
eigen_device_
;
paddle
::
platform
::
throw_on_error
(
cudaStreamDestroy
(
stream_
),
"cudaStreamDestroy failed"
);
}
private:
GPUPlace
gpu_place_
;
cudaStream_t
stream_
;
Eigen
::
CudaStreamDevice
*
eigen_stream_
;
Eigen
::
GpuDevice
*
eigen_device_
;
cublasHandle_t
blas_handle_
{
nullptr
};
cudnnHandle_t
dnn_handle_
{
nullptr
};
int
random_seed_
;
curandGenerator_t
rand_generator_
{
nullptr
};
};
#endif
}
// namespace platform
}
// namespace paddle
paddle/platform/device_context_test.cu
0 → 100644
浏览文件 @
a30754b0
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/platform/device_context.h"
#include "gtest/gtest.h"
TEST
(
DeviceContext
,
CudaDevice
)
{
int
count
=
paddle
::
platform
::
GetDeviceCount
();
for
(
int
i
=
0
;
i
<
count
;
i
++
)
{
paddle
::
platform
::
CudaDeviceContext
*
device_context
=
new
paddle
::
platform
::
CudaDeviceContext
(
i
);
__attribute__
((
unused
))
Eigen
::
GpuDevice
gpu_device
=
device_context
->
eigen_device
();
__attribute__
((
unused
))
cudnnHandle_t
cudnn_handle
=
device_context
->
cudnn_handle
();
__attribute__
((
unused
))
cublasHandle_t
cublas_handle
=
device_context
->
cublas_handle
();
__attribute__
((
unused
))
curandGenerator_t
curand_handle
=
device_context
->
curand_generator
();
delete
device_context
;
}
}
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