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Paddle/paddle/fluid/platform/stream_callback_manager.cc

64 lines
2.1 KiB

// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
//
// 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/fluid/platform/stream_callback_manager.h"
#include "paddle/fluid/platform/enforce.h"
namespace paddle {
namespace platform {
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#if CUDA_VERSION >= 10000
static void CUDART_CB StreamCallbackFunc(void *user_data)
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#else
static void CUDART_CB StreamCallbackFunc(cudaStream_t stream,
cudaError_t status, void *user_data)
#endif
{
std::unique_ptr<std::function<void()>> func(
reinterpret_cast<std::function<void()> *>(user_data));
(*func)();
}
StreamCallbackManager::StreamCallbackManager(const cudaStream_t stream)
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: stream_(stream), thread_pool_(1) {}
void StreamCallbackManager::AddCallback(std::function<void()> callback) const {
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auto *callback_func = new std::function<void()>(std::move(callback));
auto *func = new std::function<void()>([this, callback_func] {
std::lock_guard<std::mutex> lock(mtx_);
last_future_ = thread_pool_.enqueue([callback_func] {
std::unique_ptr<std::function<void()>> releaser(callback_func);
(*callback_func)();
});
});
#if CUDA_VERSION >= 10000
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PADDLE_ENFORCE(cudaLaunchHostFunc(stream_, StreamCallbackFunc, func));
#else
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PADDLE_ENFORCE(cudaStreamAddCallback(stream_, StreamCallbackFunc, func, 0));
#endif
}
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void StreamCallbackManager::Wait() const {
PADDLE_ENFORCE(cudaStreamSynchronize(stream_));
{
std::lock_guard<std::mutex> lock(mtx_);
if (last_future_.valid()) {
last_future_.wait();
}
}
}
} // namespace platform
} // namespace paddle