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154 lines
4.9 KiB
154 lines
4.9 KiB
/* |
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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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/* |
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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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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 speed from the CUDA device ID |
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*/ |
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int wrap_nvml_get_clock(wrap_nvml_handle *nvmlh, |
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int gpuindex, int clktype, unsigned int *freq); |
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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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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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