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79 lines
2.4 KiB
C++
79 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 2018-2020 SChernykh <https://github.com/SChernykh>
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* Copyright 2016-2020 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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#include "backend/cuda/CudaThreads.h"
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#include "3rdparty/rapidjson/document.h"
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#include "base/io/json/Json.h"
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#include <algorithm>
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xmrig::CudaThreads::CudaThreads(const rapidjson::Value &value)
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{
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if (value.IsArray()) {
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for (auto &v : value.GetArray()) {
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CudaThread thread(v);
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if (thread.isValid()) {
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add(std::move(thread));
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}
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}
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}
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}
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xmrig::CudaThreads::CudaThreads(const std::vector<CudaDevice> &devices, const Algorithm &algorithm)
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{
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for (const auto &device : devices) {
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device.generate(algorithm, *this);
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}
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}
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bool xmrig::CudaThreads::isEqual(const CudaThreads &other) const
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{
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if (isEmpty() && other.isEmpty()) {
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return true;
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}
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return count() == other.count() && std::equal(m_data.begin(), m_data.end(), other.m_data.begin());
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}
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rapidjson::Value xmrig::CudaThreads::toJSON(rapidjson::Document &doc) const
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{
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using namespace rapidjson;
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auto &allocator = doc.GetAllocator();
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Value out(kArrayType);
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out.SetArray();
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for (const CudaThread &thread : m_data) {
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out.PushBack(thread.toJSON(doc), allocator);
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}
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return out;
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}
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