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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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/*
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* Ugly hacks to avoid dependencies on the real nvml.h until it starts
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* getting included with the CUDA toolkit or a GDK that's got a known
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* install location, etc.
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*/
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typedef enum wrap_nvmlReturn_enum {
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WRAPNVML_SUCCESS = 0
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} wrap_nvmlReturn_t;
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typedef void * wrap_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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} wrap_nvmlPciInfo_t;
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typedef 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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} wrap_nvmlClockType_t;
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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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wrap_nvmlDevice_t *devs;
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wrap_nvmlReturn_t (*nvmlInit)(void);
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wrap_nvmlReturn_t (*nvmlDeviceGetCount)(int *);
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wrap_nvmlReturn_t (*nvmlDeviceGetHandleByIndex)(int, wrap_nvmlDevice_t *);
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wrap_nvmlReturn_t (*nvmlDeviceGetClockInfo)(wrap_nvmlDevice_t, wrap_nvmlClockType_t, unsigned int *);
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wrap_nvmlReturn_t (*nvmlDeviceGetApplicationsClock)(wrap_nvmlDevice_t, wrap_nvmlClockType_t, unsigned int *);
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wrap_nvmlReturn_t (*nvmlDeviceGetPciInfo)(wrap_nvmlDevice_t, wrap_nvmlPciInfo_t *);
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wrap_nvmlReturn_t (*nvmlDeviceGetName)(wrap_nvmlDevice_t, char *, int);
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wrap_nvmlReturn_t (*nvmlDeviceGetTemperature)(wrap_nvmlDevice_t, int, unsigned int *);
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wrap_nvmlReturn_t (*nvmlDeviceGetFanSpeed)(wrap_nvmlDevice_t, unsigned int *);
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wrap_nvmlReturn_t (*nvmlDeviceGetPerformanceState)(wrap_nvmlDevice_t, int *); /* enum */
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wrap_nvmlReturn_t (*nvmlDeviceGetPowerUsage)(wrap_nvmlDevice_t, unsigned int *);
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wrap_nvmlReturn_t (*nvmlDeviceGetSerial)(wrap_nvmlDevice_t, char *serial, unsigned int len);
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wrap_nvmlReturn_t (*nvmlDeviceGetUUID)(wrap_nvmlDevice_t, char *uuid, unsigned int len);
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wrap_nvmlReturn_t (*nvmlDeviceGetVbiosVersion)(wrap_nvmlDevice_t, char *version, unsigned int len);
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wrap_nvmlReturn_t (*nvmlSystemGetDriverVersion)(char *version, unsigned int len);
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char* (*nvmlErrorString)(wrap_nvmlReturn_t);
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wrap_nvmlReturn_t (*nvmlShutdown)(void);
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} wrap_nvml_handle;
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wrap_nvml_handle * wrap_nvml_create();
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int wrap_nvml_destroy(wrap_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 wrap_nvml_get_gpucount(wrap_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 wrap_cuda_get_gpucount(wrap_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 wrap_nvml_get_gpu_name(wrap_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 wrap_nvml_get_tempC(wrap_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 wrap_nvml_get_fanpcnt(wrap_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 wrap_nvml_get_power_usage(wrap_nvml_handle *nvmlh,
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int gpuindex,
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unsigned int *milliwatts);
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/* nvapi functions */
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#ifdef WIN32
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int wrap_nvapi_init();
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#endif
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/* api functions */
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#include "miner.h"
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#ifdef USE_WRAPNVML
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int gpu_fanpercent(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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#endif
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// cuda api based
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int gpu_clocks(struct cgpu_info *gpu);
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