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83 lines
2.7 KiB
83 lines
2.7 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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#pragma once
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#include <cuda.h>
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#include <cuda_runtime.h>
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#include <functional>
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#include <memory>
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#include "ThreadPool.h"
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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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using StreamCallback = std::function<void(cudaStream_t, cudaError_t)>;
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class StreamCallbackManager;
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struct StreamCallbackContext {
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template <typename Callback>
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inline StreamCallbackContext(const StreamCallbackManager *manager,
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Callback &&callback)
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: manager_(manager), callback_(callback) {}
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const StreamCallbackManager *manager_; // do not own
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StreamCallback callback_;
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};
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class StreamCallbackManager {
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public:
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explicit inline StreamCallbackManager(cudaStream_t stream = nullptr)
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: stream_(stream), thread_pool_(new ThreadPool(1)) {}
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template <typename Callback>
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inline void AddCallback(Callback &&callback) const {
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AddCallbackWithStreamAndErrorInfo(
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[=](cudaStream_t, cudaError_t) { callback(); });
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}
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template <typename Callback>
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inline void AddCallbackWithStreamAndErrorInfo(Callback &&callback) const {
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auto *stream_callback_context = new StreamCallbackContext(this, callback);
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PADDLE_ENFORCE(cudaStreamAddCallback(
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stream_, StreamCallbackManager::StreamCallbackFunc,
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stream_callback_context, 0));
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}
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void Wait() const { thread_pool_.reset(new ThreadPool(1)); }
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private:
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const cudaStream_t stream_;
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mutable std::unique_ptr<ThreadPool> thread_pool_;
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// cudaStreamCallback cannot call CUDA API inside, so we have to use
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// thread_pool here
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static void CUDART_CB StreamCallbackFunc(cudaStream_t stream,
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cudaError_t status,
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void *user_data) {
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auto *callback_context_ptr =
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reinterpret_cast<StreamCallbackContext *>(user_data);
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callback_context_ptr->manager_->thread_pool_->enqueue([=]() {
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std::unique_ptr<StreamCallbackContext> callback_context(
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callback_context_ptr);
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callback_context->callback_(stream, status);
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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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