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66 lines
2.4 KiB
C++
66 lines
2.4 KiB
C++
/* XMRig
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* Copyright 2010 Jeff Garzik <jgarzik@pobox.com>
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* Copyright 2012-2014 pooler <pooler@litecoinpool.org>
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* Copyright 2014 Lucas Jones <https://github.com/lucasjones>
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* Copyright 2014-2016 Wolf9466 <https://github.com/OhGodAPet>
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* Copyright 2016 Jay D Dee <jayddee246@gmail.com>
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* Copyright 2017-2018 XMR-Stak <https://github.com/fireice-uk>, <https://github.com/psychocrypt>
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* Copyright 2018-2019 SChernykh <https://github.com/SChernykh>
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* Copyright 2016-2019 XMRig <https://github.com/xmrig>, <support@xmrig.com>
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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#ifndef XMRIG_CUDATHREADS_H
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#define XMRIG_CUDATHREADS_H
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#include <vector>
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#include "backend/cuda/CudaThread.h"
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#include "backend/cuda/wrappers/CudaDevice.h"
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namespace xmrig {
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class CudaThreads
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{
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public:
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CudaThreads() = default;
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CudaThreads(const rapidjson::Value &value);
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CudaThreads(const std::vector<CudaDevice> &devices, const Algorithm &algorithm);
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inline bool isEmpty() const { return m_data.empty(); }
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inline const std::vector<CudaThread> &data() const { return m_data; }
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inline size_t count() const { return m_data.size(); }
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inline void add(CudaThread &&thread) { m_data.push_back(thread); }
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inline void reserve(size_t capacity) { m_data.reserve(capacity); }
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inline bool operator!=(const CudaThreads &other) const { return !isEqual(other); }
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inline bool operator==(const CudaThreads &other) const { return isEqual(other); }
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bool isEqual(const CudaThreads &other) const;
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rapidjson::Value toJSON(rapidjson::Document &doc) const;
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private:
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std::vector<CudaThread> m_data;
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};
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} /* namespace xmrig */
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#endif /* XMRIG_CUDATHREADS_H */
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