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Added support for alternative CUDA plugin API.

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This commit is contained in:
XMRig 2019-12-25 00:35:43 +07:00
parent a95b179a60
commit ecb46643e2
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GPG key ID: 446A53638BE94409
6 changed files with 49 additions and 16 deletions
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8
src/backend/cuda/CudaWorker.cpp
View file

@ -78,9 +78,15 @@ xmrig::CudaWorker::CudaWorker(size_t id, const CudaLaunchData &data) :
break;
}
if (!m_runner || !m_runner->init()) {
if (!m_runner) {
return;
}
if (!m_runner->init()) {
delete m_runner;
m_runner = nullptr;
}
}

2
src/backend/cuda/runners/CudaBaseRunner.cpp
View file

@ -47,7 +47,7 @@ xmrig::CudaBaseRunner::~CudaBaseRunner()
bool xmrig::CudaBaseRunner::init()
{
m_ctx = CudaLib::alloc(m_data.thread.index(), m_data.thread.bfactor(), m_data.thread.bsleep());
if (CudaLib::deviceInfo(m_ctx, m_data.thread.blocks(), m_data.thread.threads(), m_data.algorithm, m_data.thread.datasetHost()) != 0) {
if (!callWrapper(CudaLib::deviceInfo(m_ctx, m_data.thread.blocks(), m_data.thread.threads(), m_data.algorithm, m_data.thread.datasetHost()))) {
return false;
}

5
src/backend/cuda/runners/CudaRxRunner.cpp
View file

@ -31,8 +31,9 @@
#include "crypto/rx/RxDataset.h"
xmrig::CudaRxRunner::CudaRxRunner(size_t index, const CudaLaunchData &data) : CudaBaseRunner(index, data),
m_datasetHost(data.thread.datasetHost() > 0)
xmrig::CudaRxRunner::CudaRxRunner(size_t index, const CudaLaunchData &data) :
CudaBaseRunner(index, data),
m_datasetHost(data.thread.datasetHost() > 0)
{
m_intensity = m_data.thread.threads() * m_data.thread.blocks();
const size_t scratchpads_size = m_intensity * m_data.algorithm.l3();

4
src/backend/cuda/wrappers/CudaDevice.cpp
View file

@ -41,7 +41,7 @@ xmrig::CudaDevice::CudaDevice(uint32_t index, int32_t bfactor, int32_t bsleep) :
m_index(index)
{
auto ctx = CudaLib::alloc(index, bfactor, bsleep);
if (CudaLib::deviceInfo(ctx, 0, 0, Algorithm::INVALID) != 0) {
if (!CudaLib::deviceInfo(ctx, 0, 0, Algorithm::INVALID)) {
CudaLib::release(ctx);
return;
@ -107,7 +107,7 @@ uint32_t xmrig::CudaDevice::smx() const
void xmrig::CudaDevice::generate(const Algorithm &algorithm, CudaThreads &threads) const
{
if (CudaLib::deviceInfo(m_ctx, -1, -1, algorithm) != 0) {
if (!CudaLib::deviceInfo(m_ctx, -1, -1, algorithm)) {
return;
}

44
src/backend/cuda/wrappers/CudaLib.cpp
View file

@ -50,6 +50,7 @@ static const char *kAlloc = "alloc";
static const char *kCnHash = "cnHash";
static const char *kDeviceCount = "deviceCount";
static const char *kDeviceInfo = "deviceInfo";
static const char *kDeviceInfo_v2 = "deviceInfo_v2";
static const char *kDeviceInit = "deviceInit";
static const char *kDeviceInt = "deviceInt";
static const char *kDeviceName = "deviceName";
@ -62,6 +63,7 @@ static const char *kRelease = "release";
static const char *kRxHash = "rxHash";
static const char *kRxPrepare = "rxPrepare";
static const char *kSetJob = "setJob";
static const char *kSetJob_v2 = "setJob_v2";
static const char *kSymbolNotFound = "symbol not found";
static const char *kVersion = "version";
@ -70,6 +72,7 @@ using alloc_t = nvid_ctx * (*)(uint32_
using cnHash_t = bool (*)(nvid_ctx *, uint32_t, uint64_t, uint64_t, uint32_t *, uint32_t *);
using deviceCount_t = uint32_t (*)();
using deviceInfo_t = int32_t (*)(nvid_ctx *, int32_t, int32_t, int32_t, int32_t);
using deviceInfo_v2_t = bool (*)(nvid_ctx *, int32_t, int32_t, const char *, int32_t);
using deviceInit_t = bool (*)(nvid_ctx *);
using deviceInt_t = int32_t (*)(nvid_ctx *, CudaLib::DeviceProperty);
using deviceName_t = const char * (*)(nvid_ctx *);
@ -82,6 +85,7 @@ using release_t = void (*)(nvid_ctx *);
using rxHash_t = bool (*)(nvid_ctx *, uint32_t, uint64_t, uint32_t *, uint32_t *);
using rxPrepare_t = bool (*)(nvid_ctx *, const void *, size_t, bool, uint32_t);
using setJob_t = bool (*)(nvid_ctx *, const void *, size_t, int32_t);
using setJob_v2_t = bool (*)(nvid_ctx *, const void *, size_t, const char *);
using version_t = uint32_t (*)(Version);
@ -89,6 +93,7 @@ static alloc_t pAlloc = nullptr;
static cnHash_t pCnHash = nullptr;
static deviceCount_t pDeviceCount = nullptr;
static deviceInfo_t pDeviceInfo = nullptr;
static deviceInfo_v2_t pDeviceInfo_v2 = nullptr;
static deviceInit_t pDeviceInit = nullptr;
static deviceInt_t pDeviceInt = nullptr;
static deviceName_t pDeviceName = nullptr;
@ -101,6 +106,7 @@ static release_t pRelease = nullptr;
static rxHash_t pRxHash = nullptr;
static rxPrepare_t pRxPrepare = nullptr;
static setJob_t pSetJob = nullptr;
static setJob_v2_t pSetJob_v2 = nullptr;
static version_t pVersion = nullptr;
@ -145,6 +151,18 @@ bool xmrig::CudaLib::cnHash(nvid_ctx *ctx, uint32_t startNonce, uint64_t height,
}
bool xmrig::CudaLib::deviceInfo(nvid_ctx *ctx, int32_t blocks, int32_t threads, const Algorithm &algorithm, int32_t dataset_host) noexcept
{
const Algorithm algo = RxAlgo::id(algorithm);
if (pDeviceInfo_v2) {
return pDeviceInfo_v2(ctx, blocks, threads, algo.isValid() ? algo.shortName() : nullptr, dataset_host);
}
return pDeviceInfo(ctx, blocks, threads, algo, dataset_host) == 0;
}
bool xmrig::CudaLib::deviceInit(nvid_ctx *ctx) noexcept
{
return pDeviceInit(ctx);
@ -165,7 +183,12 @@ bool xmrig::CudaLib::rxPrepare(nvid_ctx *ctx, const void *dataset, size_t datase
bool xmrig::CudaLib::setJob(nvid_ctx *ctx, const void *data, size_t size, const Algorithm &algorithm) noexcept
{
return pSetJob(ctx, data, size, RxAlgo::id(algorithm));
const Algorithm algo = RxAlgo::id(algorithm);
if (pSetJob_v2) {
return pSetJob_v2(ctx, data, size, algo.shortName());
}
return pSetJob(ctx, data, size, algo);
}
@ -187,12 +210,6 @@ const char *xmrig::CudaLib::pluginVersion() noexcept
}
int xmrig::CudaLib::deviceInfo(nvid_ctx *ctx, int32_t blocks, int32_t threads, const Algorithm &algorithm, int32_t dataset_host) noexcept
{
return pDeviceInfo(ctx, blocks, threads, RxAlgo::id(algorithm), dataset_host);
}
int32_t xmrig::CudaLib::deviceInt(nvid_ctx *ctx, DeviceProperty property) noexcept
{
return pDeviceInt(ctx, property);
@ -292,11 +309,13 @@ bool xmrig::CudaLib::load()
return false;
}
uv_dlsym(&cudaLib, kDeviceInfo_v2, reinterpret_cast<void**>(&pDeviceInfo_v2));
uv_dlsym(&cudaLib, kSetJob_v2, reinterpret_cast<void**>(&pSetJob_v2));
try {
DLSYM(Alloc);
DLSYM(CnHash);
DLSYM(DeviceCount);
DLSYM(DeviceInfo);
DLSYM(DeviceInit);
DLSYM(DeviceInt);
DLSYM(DeviceName);
@ -308,8 +327,15 @@ bool xmrig::CudaLib::load()
DLSYM(Release);
DLSYM(RxHash);
DLSYM(RxPrepare);
DLSYM(SetJob);
DLSYM(Version);
if (!pDeviceInfo_v2) {
DLSYM(DeviceInfo);
}
if (!pSetJob_v2) {
DLSYM(SetJob);
}
} catch (std::exception &ex) {
return false;
}

2
src/backend/cuda/wrappers/CudaLib.h
View file

@ -74,6 +74,7 @@ public:
static inline const String &loader() { return m_loader; }
static bool cnHash(nvid_ctx *ctx, uint32_t startNonce, uint64_t height, uint64_t target, uint32_t *rescount, uint32_t *resnonce);
static bool deviceInfo(nvid_ctx *ctx, int32_t blocks, int32_t threads, const Algorithm &algorithm, int32_t dataset_host = -1) noexcept;
static bool deviceInit(nvid_ctx *ctx) noexcept;
static bool rxHash(nvid_ctx *ctx, uint32_t startNonce, uint64_t target, uint32_t *rescount, uint32_t *resnonce) noexcept;
static bool rxPrepare(nvid_ctx *ctx, const void *dataset, size_t datasetSize, bool dataset_host, uint32_t batchSize) noexcept;
@ -81,7 +82,6 @@ public:
static const char *deviceName(nvid_ctx *ctx) noexcept;
static const char *lastError(nvid_ctx *ctx) noexcept;
static const char *pluginVersion() noexcept;
static int deviceInfo(nvid_ctx *ctx, int32_t blocks, int32_t threads, const Algorithm &algorithm, int32_t dataset_host = -1) noexcept;
static int32_t deviceInt(nvid_ctx *ctx, DeviceProperty property) noexcept;
static nvid_ctx *alloc(uint32_t id, int32_t bfactor, int32_t bsleep) noexcept;
static std::string version(uint32_t version);