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implement DeviceContext #2709
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jacquesqiao
merged 9 commits into
PaddlePaddle:develop
from
QiJune:feature/implement_DeviceContext
Jul 10, 2017
Merged
implement DeviceContext #2709
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e876477
add device_context
QiJune 1ba4cb8
add unittest for device_context
QiJune cdfa098
transfer to use function paddle::platform::throw_on_error
QiJune 5acaffb
fix cuda build error
QiJune ab56c96
Merge remote-tracking branch 'baidu/develop' into feature/implement_D…
QiJune abbed1d
using dynload functions
QiJune f9ae741
Merge remote-tracking branch 'baidu/develop' into feature/implement_D…
QiJune 0c13b23
Merge remote-tracking branch 'baidu/develop' into feature/implement_D…
QiJune c7bdbdb
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. | ||
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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 | ||
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http://www.apache.org/licenses/LICENSE-2.0 | ||
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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. */ | ||
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#pragma once | ||
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#include "paddle/framework/enforce.h" | ||
#ifndef PADDLE_ONLY_CPU | ||
#include "paddle/platform/cuda.h" | ||
#include "paddle/platform/dynload/cublas.h" | ||
#include "paddle/platform/dynload/cudnn.h" | ||
#include "paddle/platform/dynload/curand.h" | ||
#define EIGEN_USE_GPU | ||
#endif | ||
#include "paddle/platform/place.h" | ||
#include "unsupported/Eigen/CXX11/Tensor" | ||
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namespace paddle { | ||
namespace platform { | ||
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class DeviceContext { | ||
public: | ||
virtual ~DeviceContext() {} | ||
}; | ||
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class CPUDeviceContext : public DeviceContext {}; | ||
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#ifndef PADDLE_ONLY_CPU | ||
class GPUPlaceGuard { | ||
public: | ||
explicit GPUPlaceGuard(GPUPlace new_place) : previous_(GetCurrentDeviceId()) { | ||
if (previous_ != new_place) { | ||
paddle::platform::SetDeviceId(new_place.device); | ||
} | ||
} | ||
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~GPUPlaceGuard() { paddle::platform::SetDeviceId(previous_.device); } | ||
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private: | ||
GPUPlace previous_; | ||
}; | ||
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class CUDADeviceContext : public DeviceContext { | ||
public: | ||
explicit CUDADeviceContext(const GPUPlace gpu_place) : gpu_place_(gpu_place) { | ||
GPUPlaceGuard 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_); | ||
} | ||
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void Wait() { | ||
paddle::platform::throw_on_error(cudaStreamSynchronize(stream_), | ||
"cudaStreamSynchronize failed"); | ||
} | ||
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cudaStream_t stream() { return stream_; } | ||
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Eigen::GpuDevice eigen_device() { return *eigen_device_; } | ||
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cublasHandle_t cublas_handle() { | ||
if (!blas_handle_) { | ||
GPUPlaceGuard guard(gpu_place_); | ||
PADDLE_ENFORCE(paddle::platform::dynload::cublasCreate(&blas_handle_) == | ||
CUBLAS_STATUS_SUCCESS, | ||
"cublasCreate failed"); | ||
PADDLE_ENFORCE(paddle::platform::dynload::cublasSetStream( | ||
blas_handle_, stream_) == CUBLAS_STATUS_SUCCESS, | ||
"cublasSetStream failed"); | ||
} | ||
return blas_handle_; | ||
} | ||
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cudnnHandle_t cudnn_handle() { | ||
if (!dnn_handle_) { | ||
GPUPlaceGuard guard(gpu_place_); | ||
PADDLE_ENFORCE(paddle::platform::dynload::cudnnCreate(&dnn_handle_) == | ||
CUDNN_STATUS_SUCCESS, | ||
"cudnnCreate failed"); | ||
PADDLE_ENFORCE(paddle::platform::dynload::cudnnSetStream( | ||
dnn_handle_, stream_) == CUDNN_STATUS_SUCCESS, | ||
"cudnnSetStream failed"); | ||
} | ||
return dnn_handle_; | ||
} | ||
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curandGenerator_t curand_generator() { | ||
if (!rand_generator_) { | ||
GPUPlaceGuard guard(gpu_place_); | ||
PADDLE_ENFORCE(paddle::platform::dynload::curandCreateGenerator( | ||
&rand_generator_, CURAND_RNG_PSEUDO_DEFAULT) == | ||
CURAND_STATUS_SUCCESS, | ||
"curandCreateGenerator failed"); | ||
PADDLE_ENFORCE( | ||
paddle::platform::dynload::curandSetPseudoRandomGeneratorSeed( | ||
rand_generator_, random_seed_) == CURAND_STATUS_SUCCESS, | ||
"curandSetPseudoRandomGeneratorSeed failed"); | ||
PADDLE_ENFORCE(paddle::platform::dynload::curandSetStream( | ||
rand_generator_, stream_) == CURAND_STATUS_SUCCESS, | ||
"curandSetStream failed"); | ||
} | ||
return rand_generator_; | ||
} | ||
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~CUDADeviceContext() { | ||
Wait(); | ||
if (blas_handle_) { | ||
PADDLE_ENFORCE(paddle::platform::dynload::cublasDestroy(blas_handle_) == | ||
CUBLAS_STATUS_SUCCESS, | ||
"cublasDestroy failed"); | ||
} | ||
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if (dnn_handle_) { | ||
PADDLE_ENFORCE(paddle::platform::dynload::cudnnDestroy(dnn_handle_) == | ||
CUDNN_STATUS_SUCCESS, | ||
"cudnnDestroy failed"); | ||
} | ||
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if (rand_generator_) { | ||
PADDLE_ENFORCE(paddle::platform::dynload::curandDestroyGenerator( | ||
rand_generator_) == CURAND_STATUS_SUCCESS, | ||
"curandDestroyGenerator failed"); | ||
} | ||
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delete eigen_stream_; | ||
delete eigen_device_; | ||
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paddle::platform::throw_on_error(cudaStreamDestroy(stream_), | ||
"cudaStreamDestroy failed"); | ||
} | ||
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private: | ||
GPUPlace gpu_place_; | ||
cudaStream_t stream_; | ||
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Eigen::CudaStreamDevice* eigen_stream_; | ||
Eigen::GpuDevice* eigen_device_; | ||
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cublasHandle_t blas_handle_{nullptr}; | ||
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cudnnHandle_t dnn_handle_{nullptr}; | ||
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int random_seed_; | ||
curandGenerator_t rand_generator_{nullptr}; | ||
}; | ||
#endif | ||
} // namespace platform | ||
} // namespace paddle |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,33 @@ | ||
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. | ||
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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 | ||
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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. */ | ||
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#include "paddle/platform/device_context.h" | ||
#include "gtest/gtest.h" | ||
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TEST(CUDADeviceContext, Init) { | ||
int count = paddle::platform::GetDeviceCount(); | ||
for (int i = 0; i < count; i++) { | ||
paddle::platform::CUDADeviceContext* device_context = | ||
new paddle::platform::CUDADeviceContext(i); | ||
Eigen::GpuDevice gpu_device = device_context->eigen_device(); | ||
ASSERT_NE(nullptr, gpu_device.stream()); | ||
cudnnHandle_t cudnn_handle = device_context->cudnn_handle(); | ||
ASSERT_NE(nullptr, cudnn_handle); | ||
cublasHandle_t cublas_handle = device_context->cublas_handle(); | ||
ASSERT_NE(nullptr, cublas_handle); | ||
curandGenerator_t curand_handle = device_context->curand_generator(); | ||
ASSERT_NE(nullptr, curand_handle); | ||
delete device_context; | ||
} | ||
} |
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Lake of
const
for all methods?But maybe it is not important because all device context is a mutable pointer passed to Op::Run.