forked from huawei/mindspore2022
102 lines
3.0 KiB
C++
102 lines
3.0 KiB
C++
/**
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* Copyright 2019 Huawei Technologies Co., Ltd
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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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*/
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#ifndef MINDSPORE_CCSRC_RUNTIME_DEVICE_GPU_BLOCKING_QUEUE_H_
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#define MINDSPORE_CCSRC_RUNTIME_DEVICE_GPU_BLOCKING_QUEUE_H_
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#include <unistd.h>
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#include <cuda_runtime_api.h>
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#include <iostream>
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#include <memory>
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#include <mutex>
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#include <cstring>
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#include <string>
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#include <vector>
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#include <condition_variable>
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#include <functional>
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namespace mindspore {
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namespace device {
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enum BlockQueueStatus_T : int { SUCCESS = 0, QUEUE_NOT_EXIST, HANDLE_NOT_EXIST, ERROR_INPUT, INTERNAL_ERROR, TIMEOUT };
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struct DataItemGpu {
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size_t data_len_;
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void *data_ptr_;
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};
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class GpuQueue {
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public:
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GpuQueue(void *addr, const std::vector<size_t> &shape, const size_t &capacity);
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virtual ~GpuQueue();
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void RegisterRelease(const std::function<void(void *)> &func) { host_release_ = func; }
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inline bool IsEmpty() const { return size_ == 0; }
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inline bool IsFull() const { return size_ == capacity_; }
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BlockQueueStatus_T Push(const std::vector<DataItemGpu> &data);
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BlockQueueStatus_T Front(void **ptr, size_t *len) const;
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BlockQueueStatus_T Pop();
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bool Destroy();
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size_t Size() { return size_; }
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size_t Capacity() { return capacity_; }
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private:
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struct NodeInfo {
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std::unique_ptr<cudaEvent_t> event_;
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std::vector<DataItemGpu> data_;
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};
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void *buffer_;
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size_t head_;
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size_t tail_;
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std::vector<size_t> shape_;
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size_t len_;
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size_t size_;
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size_t capacity_;
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cudaStream_t stream_;
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std::unique_ptr<NodeInfo[]> node_info_;
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std::function<void(void *)> host_release_;
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GpuQueue(const GpuQueue &) = delete;
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GpuQueue &operator=(const GpuQueue &) = delete;
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};
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class BlockingQueue {
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public:
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BlockingQueue() : queue_(nullptr) {}
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~BlockingQueue() = default;
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BlockQueueStatus_T Create(void *addr, const std::vector<size_t> &shape, const size_t &capacity);
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void RegisterRelease(const std::function<void(void *)> &func);
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BlockQueueStatus_T Push(const std::vector<DataItemGpu> &data, unsigned int timeout_in_sec);
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BlockQueueStatus_T Front(void **ptr, size_t *len);
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BlockQueueStatus_T Pop();
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bool Destroy();
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size_t Size() { return queue_->Size(); }
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size_t Capacity() { return queue_->Capacity(); }
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private:
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std::mutex mutex_;
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std::condition_variable not_full_cond_;
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std::condition_variable not_empty_cond_;
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std::shared_ptr<GpuQueue> queue_;
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};
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} // namespace device
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} // namespace mindspore
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#endif // MINDSPORE_CCSRC_RUNTIME_DEVICE_GPU_BLOCKING_QUEUE_H_
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