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/*
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* A trivial little dlopen()-based wrapper library for the
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* NVIDIA NVML library, to allow runtime discovery of NVML on an
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* arbitrary system. This is all very hackish and simple-minded, but
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* it serves my immediate needs in the short term until NVIDIA provides
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* a static NVML wrapper library themselves, hopefully in
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* CUDA 6.5 or maybe sometime shortly after.
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*
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* This trivial code is made available under the "new" 3-clause BSD license,
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* and/or any of the GPL licenses you prefer.
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* Feel free to use the code and modify as you see fit.
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*
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* John E. Stone - john.stone@gmail.com
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*
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*/
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#ifdef USE_WRAPNVML
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#include "miner.h"
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typedef void * nvmlDevice_t;
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/* our own version of the PCI info struct */
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typedef struct {
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char bus_id_str[16]; /* string form of bus info */
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unsigned int domain;
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unsigned int bus;
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unsigned int device;
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unsigned int pci_device_id; /* combined device and vendor id */
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unsigned int pci_subsystem_id;
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unsigned int res0; /* NVML internal use only */
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unsigned int res1;
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unsigned int res2;
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unsigned int res3;
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} nvmlPciInfo_t;
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enum nvmlEnableState_t {
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NVML_FEATURE_DISABLED = 0,
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NVML_FEATURE_ENABLED = 1,
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NVML_FEATURE_UNKNOWN = 2
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};
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enum nvmlRestrictedAPI_t {
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NVML_RESTRICTED_API_SET_APPLICATION_CLOCKS = 0,
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NVML_RESTRICTED_API_SET_AUTO_BOOSTED_CLOCKS = 1,
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NVML_RESTRICTED_API_COUNT = 2
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};
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enum nvmlReturn_t {
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NVML_SUCCESS = 0,
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NVML_ERROR_UNINITIALIZED = 1,
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NVML_ERROR_INVALID_ARGUMENT = 2,
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NVML_ERROR_NOT_SUPPORTED = 3,
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NVML_ERROR_NO_PERMISSION = 4,
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NVML_ERROR_ALREADY_INITIALIZED = 5,
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NVML_ERROR_NOT_FOUND = 6,
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NVML_ERROR_INSUFFICIENT_SIZE = 7,
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NVML_ERROR_INSUFFICIENT_POWER = 8,
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NVML_ERROR_DRIVER_NOT_LOADED = 9,
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NVML_ERROR_TIMEOUT = 10,
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NVML_ERROR_UNKNOWN = 999
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};
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enum nvmlClockType_t {
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NVML_CLOCK_GRAPHICS = 0,
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NVML_CLOCK_SM = 1,
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NVML_CLOCK_MEM = 2
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};
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#define NVML_DEVICE_SERIAL_BUFFER_SIZE 30
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#define NVML_DEVICE_UUID_BUFFER_SIZE 80
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#define NVML_DEVICE_VBIOS_VERSION_BUFFER_SIZE 32
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/*
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* Handle to hold the function pointers for the entry points we need,
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* and the shared library itself.
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*/
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typedef struct {
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void *nvml_dll;
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int nvml_gpucount;
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int cuda_gpucount;
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unsigned int *nvml_pci_domain_id;
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unsigned int *nvml_pci_bus_id;
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unsigned int *nvml_pci_device_id;
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unsigned int *nvml_pci_subsys_id;
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int *nvml_cuda_device_id; /* map NVML dev to CUDA dev */
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int *cuda_nvml_device_id; /* map CUDA dev to NVML dev */
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nvmlDevice_t *devs;
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nvmlEnableState_t *app_clocks;
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nvmlReturn_t (*nvmlInit)(void);
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nvmlReturn_t (*nvmlDeviceGetCount)(int *);
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nvmlReturn_t (*nvmlDeviceGetHandleByIndex)(int, nvmlDevice_t *);
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nvmlReturn_t (*nvmlDeviceGetAPIRestriction)(nvmlDevice_t, nvmlRestrictedAPI_t, nvmlEnableState_t *);
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nvmlReturn_t (*nvmlDeviceSetAPIRestriction)(nvmlDevice_t, nvmlRestrictedAPI_t, nvmlEnableState_t);
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nvmlReturn_t (*nvmlDeviceGetDefaultApplicationsClock)(nvmlDevice_t, nvmlClockType_t, unsigned int *);
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nvmlReturn_t (*nvmlDeviceGetApplicationsClock)(nvmlDevice_t, nvmlClockType_t, unsigned int *);
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nvmlReturn_t (*nvmlDeviceSetApplicationsClocks)(nvmlDevice_t, unsigned int, unsigned int);
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nvmlReturn_t (*nvmlDeviceResetApplicationsClocks)(nvmlDevice_t);
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nvmlReturn_t (*nvmlDeviceGetSupportedGraphicsClocks)(nvmlDevice_t, uint32_t mem, uint32_t *num, uint32_t *arr);
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nvmlReturn_t (*nvmlDeviceGetSupportedMemoryClocks)(nvmlDevice_t, unsigned int *count, unsigned int *clocksMHz);
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nvmlReturn_t (*nvmlDeviceGetAutoBoostedClocksEnabled)(nvmlDevice_t, nvmlEnableState_t *isEnabled, nvmlEnableState_t *defaultIsEnabled);
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nvmlReturn_t (*nvmlDeviceSetAutoBoostedClocksEnabled)(nvmlDevice_t, nvmlEnableState_t enabled);
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nvmlReturn_t (*nvmlDeviceGetClockInfo)(nvmlDevice_t, nvmlClockType_t, unsigned int *);
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nvmlReturn_t (*nvmlDeviceGetPciInfo)(nvmlDevice_t, nvmlPciInfo_t *);
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nvmlReturn_t (*nvmlDeviceGetName)(nvmlDevice_t, char *, int);
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nvmlReturn_t (*nvmlDeviceGetTemperature)(nvmlDevice_t, int, unsigned int *);
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nvmlReturn_t (*nvmlDeviceGetFanSpeed)(nvmlDevice_t, unsigned int *);
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nvmlReturn_t (*nvmlDeviceGetPerformanceState)(nvmlDevice_t, int *); /* enum */
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nvmlReturn_t (*nvmlDeviceGetPowerUsage)(nvmlDevice_t, unsigned int *);
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nvmlReturn_t (*nvmlDeviceGetSerial)(nvmlDevice_t, char *serial, unsigned int len);
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nvmlReturn_t (*nvmlDeviceGetUUID)(nvmlDevice_t, char *uuid, unsigned int len);
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nvmlReturn_t (*nvmlDeviceGetVbiosVersion)(nvmlDevice_t, char *version, unsigned int len);
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nvmlReturn_t (*nvmlSystemGetDriverVersion)(char *version, unsigned int len);
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char* (*nvmlErrorString)(nvmlReturn_t);
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nvmlReturn_t (*nvmlShutdown)(void);
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} nvml_handle;
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nvml_handle * nvml_create();
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int nvml_destroy(nvml_handle *nvmlh);
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/*
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* Query the number of GPUs seen by NVML
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*/
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int nvml_get_gpucount(nvml_handle *nvmlh, int *gpucount);
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/*
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* Query the number of GPUs seen by CUDA
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*/
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int cuda_get_gpucount(nvml_handle *nvmlh, int *gpucount);
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/*
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* query the name of the GPU model from the CUDA device ID
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*
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*/
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int nvml_get_gpu_name(nvml_handle *nvmlh,
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int gpuindex,
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char *namebuf,
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int bufsize);
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/*
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* Query the current GPU temperature (Celsius), from the CUDA device ID
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*/
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int nvml_get_tempC(nvml_handle *nvmlh,
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int gpuindex, unsigned int *tempC);
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/*
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* Query the current GPU fan speed (percent) from the CUDA device ID
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*/
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int nvml_get_fanpcnt(nvml_handle *nvmlh,
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int gpuindex, unsigned int *fanpcnt);
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/*
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* Query the current GPU power usage in millwatts from the CUDA device ID
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*
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* This feature is only available on recent GPU generations and may be
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* limited in some cases only to Tesla series GPUs.
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* If the query is run on an unsupported GPU, this routine will return -1.
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*/
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int nvml_get_power_usage(nvml_handle *nvmlh,
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int gpuindex,
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unsigned int *milliwatts);
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int nvml_set_clocks(nvml_handle *nvmlh, int dev_id);
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int nvml_reset_clocks(nvml_handle *nvmlh, int dev_id);
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/* api functions */
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unsigned int gpu_fanpercent(struct cgpu_info *gpu);
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unsigned int gpu_fanrpm(struct cgpu_info *gpu);
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float gpu_temp(struct cgpu_info *gpu);
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unsigned int gpu_power(struct cgpu_info *gpu);
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unsigned int gpu_usage(struct cgpu_info *gpu);
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int gpu_pstate(struct cgpu_info *gpu);
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int gpu_busid(struct cgpu_info *gpu);
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/* pid/vid, sn and bios rev */
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int gpu_info(struct cgpu_info *gpu);
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/* nvapi functions */
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#ifdef WIN32
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int nvapi_init();
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#endif
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#endif /* USE_WRAPNVML */
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