mirror of
https://github.com/xmrig/xmrig.git
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163 lines
4.4 KiB
C++
163 lines
4.4 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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#include "backend/cuda/CudaConfig.h"
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#include "backend/common/Tags.h"
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#include "backend/cuda/CudaConfig_gen.h"
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#include "backend/cuda/wrappers/CudaLib.h"
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#include "base/io/json/Json.h"
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#include "base/io/log/Log.h"
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#include "rapidjson/document.h"
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namespace xmrig {
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static bool generated = false;
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static const char *kDevicesHint = "devices-hint";
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static const char *kEnabled = "enabled";
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static const char *kLoader = "loader";
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extern template class Threads<CudaThreads>;
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}
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rapidjson::Value xmrig::CudaConfig::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 obj(kObjectType);
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obj.AddMember(StringRef(kEnabled), m_enabled, allocator);
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obj.AddMember(StringRef(kLoader), m_loader.toJSON(), allocator);
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m_threads.toJSON(obj, doc);
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return obj;
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}
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std::vector<xmrig::CudaLaunchData> xmrig::CudaConfig::get(const Miner *miner, const Algorithm &algorithm, const std::vector<CudaDevice> &devices) const
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{
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std::vector<CudaLaunchData> out;
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const auto &threads = m_threads.get(algorithm);
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if (threads.isEmpty()) {
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return out;
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}
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out.reserve(threads.count() * 2);
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for (const auto &thread : threads.data()) {
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if (thread.index() >= devices.size()) {
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LOG_INFO("%s" YELLOW(" skip non-existing device with index ") YELLOW_BOLD("%u"), cuda_tag(), thread.index());
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continue;
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}
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out.emplace_back(miner, algorithm, thread, devices[thread.index()]);
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}
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return out;
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}
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void xmrig::CudaConfig::read(const rapidjson::Value &value)
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{
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if (value.IsObject()) {
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m_enabled = Json::getBool(value, kEnabled, m_enabled);
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m_loader = Json::getString(value, kLoader);
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setDevicesHint(Json::getString(value, kDevicesHint));
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m_threads.read(value);
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generate();
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}
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else if (value.IsBool()) {
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m_enabled = value.GetBool();
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generate();
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}
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else {
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m_shouldSave = true;
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generate();
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}
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}
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void xmrig::CudaConfig::generate()
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{
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if (generated) {
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return;
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}
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if (!isEnabled() || m_threads.has("*")) {
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return;
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}
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if (!CudaLib::init(loader())) {
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return;
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}
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if (!CudaLib::runtimeVersion() || !CudaLib::driverVersion() || !CudaLib::deviceCount()) {
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return;
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}
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const auto devices = CudaLib::devices(bfactor(), bsleep());
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if (devices.empty()) {
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return;
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}
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size_t count = 0;
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count += xmrig::generate<Algorithm::CN>(m_threads, devices);
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count += xmrig::generate<Algorithm::CN_LITE>(m_threads, devices);
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count += xmrig::generate<Algorithm::CN_HEAVY>(m_threads, devices);
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count += xmrig::generate<Algorithm::CN_PICO>(m_threads, devices);
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count += xmrig::generate<Algorithm::RANDOM_X>(m_threads, devices);
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generated = true;
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m_shouldSave = count > 0;
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}
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void xmrig::CudaConfig::setDevicesHint(const char *devicesHint)
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{
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if (devicesHint == nullptr) {
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return;
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}
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const auto indexes = String(devicesHint).split(',');
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m_devicesHint.reserve(indexes.size());
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for (const auto &index : indexes) {
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m_devicesHint.push_back(strtoul(index, nullptr, 10));
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}
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}
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