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67 lines
2.2 KiB
67 lines
2.2 KiB
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle/fluid/platform/stream_callback_manager.h"
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#include <utility>
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#include "paddle/fluid/platform/enforce.h"
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namespace paddle {
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namespace platform {
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#if CUDA_VERSION >= 10000
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static void CUDART_CB StreamCallbackFunc(void *user_data)
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#else
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static void CUDART_CB StreamCallbackFunc(cudaStream_t stream,
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cudaError_t status, void *user_data)
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#endif
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{
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std::unique_ptr<std::function<void()>> func(
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reinterpret_cast<std::function<void()> *>(user_data));
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(*func)();
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}
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StreamCallbackManager::StreamCallbackManager(const cudaStream_t stream)
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: stream_(stream), thread_pool_(1) {}
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void StreamCallbackManager::AddCallback(std::function<void()> callback) const {
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auto *callback_func = new std::function<void()>(std::move(callback));
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auto *func = new std::function<void()>([this, callback_func] {
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std::lock_guard<std::mutex> lock(mtx_);
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last_future_ = thread_pool_.enqueue([callback_func] {
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std::unique_ptr<std::function<void()>> releaser(callback_func);
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(*callback_func)();
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});
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});
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#if CUDA_VERSION >= 10000
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PADDLE_ENFORCE_CUDA_SUCCESS(
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cudaLaunchHostFunc(stream_, StreamCallbackFunc, func));
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#else
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PADDLE_ENFORCE_CUDA_SUCCESS(
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cudaStreamAddCallback(stream_, StreamCallbackFunc, func, 0));
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#endif
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}
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void StreamCallbackManager::Wait() const {
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PADDLE_ENFORCE_CUDA_SUCCESS(cudaStreamSynchronize(stream_));
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{
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std::lock_guard<std::mutex> lock(mtx_);
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if (last_future_.valid()) {
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last_future_.wait();
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}
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}
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}
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} // namespace platform
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} // namespace paddle
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