mirror of
https://github.com/xmrig/xmrig.git
synced 2024-11-17 00:07:44 +00:00
Merge branch 'beta' into evo
This commit is contained in:
commit
13d256e737
11 changed files with 62 additions and 26 deletions
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@ -74,7 +74,7 @@ API:
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OpenCL backend:
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--opencl enable OpenCL mining backend
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--opencl-devices=N list of OpenCL devices to use
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--opencl-devices=N comma separated list of OpenCL devices to use
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--opencl-platform=N OpenCL platform index or name
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--opencl-loader=PATH path to OpenCL-ICD-Loader (OpenCL.dll or libOpenCL.so)
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--opencl-no-cache disable OpenCL cache
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@ -83,6 +83,7 @@ OpenCL backend:
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CUDA backend:
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--cuda enable CUDA mining backend
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--cuda-loader=PATH path to CUDA plugin (xmrig-cuda.dll or libxmrig-cuda.so)
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--cuda-devices=N comma separated list of CUDA devices to use
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--no-nvml disable NVML (NVIDIA Management Library) support
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Logging:
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@ -155,11 +155,14 @@ public:
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return;
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}
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devices = CudaLib::devices(cuda.bfactor(), cuda.bsleep(), cuda.devicesHint());
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if (devices.empty()) {
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return printDisabled(kLabel, RED_S " (no devices)");
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}
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Log::print(GREEN_BOLD(" * ") WHITE_BOLD("%-13s") WHITE_BOLD("%s") "/" WHITE_BOLD("%s") BLACK_BOLD("/%s"), kLabel,
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CudaLib::version(runtimeVersion).c_str(), CudaLib::version(driverVersion).c_str(), CudaLib::pluginVersion());
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devices = CudaLib::devices(cuda.bfactor(), cuda.bsleep());
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# ifdef XMRIG_FEATURE_NVML
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if (cuda.isNvmlEnabled()) {
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if (NvmlLib::init(cuda.nvmlLoader())) {
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@ -172,7 +175,7 @@ public:
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);
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}
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else {
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printDisabled(kLabel, RED_S " (failed to load NVML)");
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printDisabled(kNvmlLabel, RED_S " (failed to load NVML)");
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}
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}
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else {
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@ -78,6 +78,16 @@ rapidjson::Value xmrig::CudaConfig::toJSON(rapidjson::Document &doc) const
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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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auto deviceIndex = [&devices](uint32_t index) -> int {
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for (uint32_t i = 0; i < devices.size(); ++i) {
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if (devices[i].index() == index) {
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return i;
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}
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}
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return -1;
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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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@ -85,15 +95,16 @@ std::vector<xmrig::CudaLaunchData> xmrig::CudaConfig::get(const Miner *miner, co
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return out;
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}
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out.reserve(threads.count() * 2);
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out.reserve(threads.count());
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for (const auto &thread : threads.data()) {
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if (thread.index() >= devices.size()) {
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const int index = deviceIndex(thread.index());
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if (index == -1) {
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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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out.emplace_back(miner, algorithm, thread, devices[static_cast<size_t>(index)]);
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}
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return out;
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@ -153,7 +164,7 @@ void xmrig::CudaConfig::generate()
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return;
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}
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const auto devices = CudaLib::devices(bfactor(), bsleep());
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const auto devices = CudaLib::devices(bfactor(), bsleep(), m_devicesHint);
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if (devices.empty()) {
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return;
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}
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@ -43,16 +43,17 @@ public:
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std::vector<CudaLaunchData> get(const Miner *miner, const Algorithm &algorithm, const std::vector<CudaDevice> &devices) const;
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void read(const rapidjson::Value &value);
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inline bool isEnabled() const { return m_enabled; }
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inline bool isShouldSave() const { return m_shouldSave; }
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inline const String &loader() const { return m_loader; }
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inline const Threads<CudaThreads> &threads() const { return m_threads; }
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inline int32_t bfactor() const { return m_bfactor; }
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inline int32_t bsleep() const { return m_bsleep; }
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inline bool isEnabled() const { return m_enabled; }
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inline bool isShouldSave() const { return m_shouldSave; }
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inline const std::vector<uint32_t> &devicesHint() const { return m_devicesHint; }
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inline const String &loader() const { return m_loader; }
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inline const Threads<CudaThreads> &threads() const { return m_threads; }
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inline int32_t bfactor() const { return m_bfactor; }
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inline int32_t bsleep() const { return m_bsleep; }
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# ifdef XMRIG_FEATURE_NVML
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inline bool isNvmlEnabled() const { return m_nvml; }
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inline const String &nvmlLoader() const { return m_nvmlLoader; }
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inline bool isNvmlEnabled() const { return m_nvml; }
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inline const String &nvmlLoader() const { return m_nvmlLoader; }
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# endif
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private:
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@ -209,7 +209,7 @@ std::string xmrig::CudaLib::version(uint32_t version)
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}
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std::vector<xmrig::CudaDevice> xmrig::CudaLib::devices(int32_t bfactor, int32_t bsleep) noexcept
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std::vector<xmrig::CudaDevice> xmrig::CudaLib::devices(int32_t bfactor, int32_t bsleep, const std::vector<uint32_t> &hints) noexcept
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{
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const uint32_t count = deviceCount();
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if (!count) {
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@ -219,10 +219,24 @@ std::vector<xmrig::CudaDevice> xmrig::CudaLib::devices(int32_t bfactor, int32_t
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std::vector<CudaDevice> out;
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out.reserve(count);
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for (uint32_t i = 0; i < count; ++i) {
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CudaDevice device(i, bfactor, bsleep);
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if (device.isValid()) {
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out.emplace_back(std::move(device));
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if (hints.empty()) {
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for (uint32_t i = 0; i < count; ++i) {
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CudaDevice device(i, bfactor, bsleep);
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if (device.isValid()) {
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out.emplace_back(std::move(device));
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}
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}
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}
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else {
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for (const uint32_t i : hints) {
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if (i >= count) {
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continue;
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}
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CudaDevice device(i, bfactor, bsleep);
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if (device.isValid()) {
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out.emplace_back(std::move(device));
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}
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}
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}
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@ -85,7 +85,7 @@ public:
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static int32_t deviceInt(nvid_ctx *ctx, DeviceProperty property) noexcept;
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static nvid_ctx *alloc(uint32_t id, int32_t bfactor, int32_t bsleep) noexcept;
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static std::string version(uint32_t version);
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static std::vector<CudaDevice> devices(int32_t bfactor, int32_t bsleep) noexcept;
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static std::vector<CudaDevice> devices(int32_t bfactor, int32_t bsleep, const std::vector<uint32_t> &hints) noexcept;
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static uint32_t deviceCount() noexcept;
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static uint32_t deviceUint(nvid_ctx *ctx, DeviceProperty property) noexcept;
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static uint32_t driverVersion() noexcept;
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@ -50,7 +50,7 @@ bool xmrig::Json::getBool(const rapidjson::Value &obj, const char *key, bool def
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}
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const char *xmrig::Json::getString(const rapidjson::Value &obj, const char *key, const char *defaultValue)
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const char *xmrig::Json::getString(const rapidjson::Value &obj, const char *key, const char *defaultValue)
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{
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assert(obj.IsObject());
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@ -187,10 +187,14 @@ void xmrig::ConfigTransform::transform(rapidjson::Document &doc, int key, const
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# ifdef XMRIG_FEATURE_CUDA
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case IConfig::CudaKey: /* --cuda */
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return set(doc, kCuda, "enabled", true);
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return set(doc, kCuda, kEnabled, true);
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case IConfig::CudaLoaderKey: /* --cuda-loader */
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return set(doc, kCuda, "loader", arg);
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case IConfig::CudaDevicesKey: /* --cuda-devices */
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set(doc, kCuda, kEnabled, true);
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return set(doc, kCuda, "devices-hint", arg);
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# endif
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# ifdef XMRIG_FEATURE_NVML
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@ -107,6 +107,7 @@ static const option options[] = {
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# ifdef XMRIG_FEATURE_CUDA
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{ "cuda", 0, nullptr, IConfig::CudaKey },
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{ "cuda-loader", 1, nullptr, IConfig::CudaLoaderKey },
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{ "cuda-devices", 1, nullptr, IConfig::CudaDevicesKey },
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# endif
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# ifdef XMRIG_FEATURE_NVML
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{ "no-nvml", 0, nullptr, IConfig::NvmlKey },
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@ -101,7 +101,7 @@ static inline const std::string &usage()
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# ifdef XMRIG_FEATURE_OPENCL
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u += "\nOpenCL backend:\n";
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u += " --opencl enable OpenCL mining backend\n";
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u += " --opencl-devices=N list of OpenCL devices to use\n";
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u += " --opencl-devices=N comma separated list of OpenCL devices to use\n";
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u += " --opencl-platform=N OpenCL platform index or name\n";
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u += " --opencl-loader=PATH path to OpenCL-ICD-Loader (OpenCL.dll or libOpenCL.so)\n";
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u += " --opencl-no-cache disable OpenCL cache\n";
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@ -112,6 +112,7 @@ static inline const std::string &usage()
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u += "\nCUDA backend:\n";
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u += " --cuda enable CUDA mining backend\n";
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u += " --cuda-loader=PATH path to CUDA plugin (xmrig-cuda.dll or libxmrig-cuda.so)\n";
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u += " --cuda-devices=N comma separated list of CUDA devices to use\n";
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# endif
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# ifdef XMRIG_FEATURE_NVML
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u += " --no-nvml disable NVML (NVIDIA Management Library) support\n";
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@ -28,7 +28,7 @@
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#define APP_ID "xmrig"
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#define APP_NAME "XMRig"
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#define APP_DESC "XMRig miner"
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#define APP_VERSION "4.6.1-evo"
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#define APP_VERSION "4.6.1-beta"
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#define APP_DOMAIN "xmrig.com"
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#define APP_SITE "www.xmrig.com"
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#define APP_COPYRIGHT "Copyright (C) 2016-2019 xmrig.com"
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