forked from cbuchner1/CudaMiner
-
Notifications
You must be signed in to change notification settings - Fork 0
/
wrapnvml.h
123 lines (105 loc) · 3.83 KB
/
wrapnvml.h
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
/*
* A trivial little dlopen()-based wrapper library for the
* NVIDIA NVML library, to allow runtime discovery of NVML on an
* arbitrary system. This is all very hackish and simple-minded, but
* it serves my immediate needs in the short term until NVIDIA provides
* a static NVML wrapper library themselves, hopefully in
* CUDA 6.5 or maybe sometime shortly after.
*
* This trivial code is made available under the "new" 3-clause BSD license,
* and/or any of the GPL licenses you prefer.
* Feel free to use the code and modify as you see fit.
*
* John E. Stone - [email protected]
*
*/
#if defined(__cplusplus)
extern "C" {
#endif
/*
* Ugly hacks to avoid dependencies on the real nvml.h until it starts
* getting included with the CUDA toolkit or a GDK that's got a known
* install location, etc.
*/
typedef enum wrap_nvmlReturn_enum {
WRAPNVML_SUCCESS = 0
} wrap_nvmlReturn_t;
typedef void * wrap_nvmlDevice_t;
/* our own version of the PCI info struct */
typedef struct {
char bus_id_str[16]; /* string form of bus info */
unsigned int domain;
unsigned int bus;
unsigned int device;
unsigned int pci_device_id; /* combined device and vendor id */
unsigned int pci_subsystem_id;
unsigned int res0; /* NVML internal use only */
unsigned int res1;
unsigned int res2;
unsigned int res3;
} wrap_nvmlPciInfo_t;
/*
* Handle to hold the function pointers for the entry points we need,
* and the shared library itself.
*/
typedef struct {
void *nvml_dll;
int nvml_gpucount;
int cuda_gpucount;
unsigned int *nvml_pci_domain_id;
unsigned int *nvml_pci_bus_id;
unsigned int *nvml_pci_device_id;
int *nvml_cuda_device_id; /* map NVML dev to CUDA dev */
int *cuda_nvml_device_id; /* map CUDA dev to NVML dev */
wrap_nvmlDevice_t *devs;
wrap_nvmlReturn_t (*nvmlInit)(void);
wrap_nvmlReturn_t (*nvmlDeviceGetCount)(int *);
wrap_nvmlReturn_t (*nvmlDeviceGetHandleByIndex)(int, wrap_nvmlDevice_t *);
wrap_nvmlReturn_t (*nvmlDeviceGetPciInfo)(wrap_nvmlDevice_t, wrap_nvmlPciInfo_t *);
wrap_nvmlReturn_t (*nvmlDeviceGetName)(wrap_nvmlDevice_t, char *, int);
wrap_nvmlReturn_t (*nvmlDeviceGetTemperature)(wrap_nvmlDevice_t, int, unsigned int *);
wrap_nvmlReturn_t (*nvmlDeviceGetFanSpeed)(wrap_nvmlDevice_t, unsigned int *);
wrap_nvmlReturn_t (*nvmlDeviceGetPowerUsage)(wrap_nvmlDevice_t, unsigned int *);
wrap_nvmlReturn_t (*nvmlShutdown)(void);
} wrap_nvml_handle;
wrap_nvml_handle * wrap_nvml_create();
int wrap_nvml_destroy(wrap_nvml_handle *nvmlh);
/*
* Query the number of GPUs seen by NVML
*/
int wrap_nvml_get_gpucount(wrap_nvml_handle *nvmlh, int *gpucount);
/*
* Query the number of GPUs seen by CUDA
*/
int wrap_cuda_get_gpucount(wrap_nvml_handle *nvmlh, int *gpucount);
/*
* query the name of the GPU model from the CUDA device ID
*
*/
int wrap_nvml_get_gpu_name(wrap_nvml_handle *nvmlh,
int gpuindex,
char *namebuf,
int bufsize);
/*
* Query the current GPU temperature (Celsius), from the CUDA device ID
*/
int wrap_nvml_get_tempC(wrap_nvml_handle *nvmlh,
int gpuindex, unsigned int *tempC);
/*
* Query the current GPU fan speed (percent) from the CUDA device ID
*/
int wrap_nvml_get_fanpcnt(wrap_nvml_handle *nvmlh,
int gpuindex, unsigned int *fanpcnt);
/*
* Query the current GPU power usage in millwatts from the CUDA device ID
*
* This feature is only available on recent GPU generations and may be
* limited in some cases only to Tesla series GPUs.
* If the query is run on an unsupported GPU, this routine will return -1.
*/
int wrap_nvml_get_power_usage(wrap_nvml_handle *nvmlh,
int gpuindex,
unsigned int *milliwatts);
#if defined(__cplusplus)
}
#endif