xmrig-minimized-dll/src/backend/cuda/CudaThreads.h
2021-08-25 18:45:15 +07:00

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2.0 KiB
C++

/* XMRig
* Copyright (c) 2018-2021 SChernykh <https://github.com/SChernykh>
* Copyright (c) 2016-2021 XMRig <https://github.com/xmrig>, <support@xmrig.com>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef XMRIG_CUDATHREADS_H
#define XMRIG_CUDATHREADS_H
#include <vector>
#include "backend/cuda/CudaThread.h"
#include "backend/cuda/wrappers/CudaDevice.h"
namespace xmrig {
class CudaThreads
{
public:
CudaThreads() = default;
CudaThreads(const rapidjson::Value &value);
CudaThreads(const std::vector<CudaDevice> &devices, const Algorithm &algorithm);
inline bool isEmpty() const { return m_data.empty(); }
inline const std::vector<CudaThread> &data() const { return m_data; }
inline size_t count() const { return m_data.size(); }
inline void add(const CudaThread &thread) { m_data.push_back(thread); }
inline void reserve(size_t capacity) { m_data.reserve(capacity); }
inline bool operator!=(const CudaThreads &other) const { return !isEqual(other); }
inline bool operator==(const CudaThreads &other) const { return isEqual(other); }
bool isEqual(const CudaThreads &other) const;
rapidjson::Value toJSON(rapidjson::Document &doc) const;
private:
std::vector<CudaThread> m_data;
};
} /* namespace xmrig */
#endif /* XMRIG_CUDATHREADS_H */