-
Notifications
You must be signed in to change notification settings - Fork 20
/
nvml.h
177 lines (154 loc) · 5.75 KB
/
nvml.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
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
/*
* 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 - john.stone@gmail.com
*
*/
#ifdef USE_WRAPNVML
#include "miner.h"
typedef void * 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;
} nvmlPciInfo_t;
enum nvmlEnableState_t {
NVML_FEATURE_DISABLED = 0,
NVML_FEATURE_ENABLED = 1,
NVML_FEATURE_UNKNOWN = 2
};
enum nvmlRestrictedAPI_t {
NVML_RESTRICTED_API_SET_APPLICATION_CLOCKS = 0,
NVML_RESTRICTED_API_SET_AUTO_BOOSTED_CLOCKS = 1,
NVML_RESTRICTED_API_COUNT = 2
};
enum nvmlReturn_t {
NVML_SUCCESS = 0,
NVML_ERROR_UNINITIALIZED = 1,
NVML_ERROR_INVALID_ARGUMENT = 2,
NVML_ERROR_NOT_SUPPORTED = 3,
NVML_ERROR_NO_PERMISSION = 4,
NVML_ERROR_ALREADY_INITIALIZED = 5,
NVML_ERROR_NOT_FOUND = 6,
NVML_ERROR_INSUFFICIENT_SIZE = 7,
NVML_ERROR_INSUFFICIENT_POWER = 8,
NVML_ERROR_DRIVER_NOT_LOADED = 9,
NVML_ERROR_TIMEOUT = 10,
NVML_ERROR_UNKNOWN = 999
};
enum nvmlClockType_t {
NVML_CLOCK_GRAPHICS = 0,
NVML_CLOCK_SM = 1,
NVML_CLOCK_MEM = 2
};
#define NVML_DEVICE_SERIAL_BUFFER_SIZE 30
#define NVML_DEVICE_UUID_BUFFER_SIZE 80
#define NVML_DEVICE_VBIOS_VERSION_BUFFER_SIZE 32
/*
* 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;
unsigned int *nvml_pci_subsys_id;
int *nvml_cuda_device_id; /* map NVML dev to CUDA dev */
int *cuda_nvml_device_id; /* map CUDA dev to NVML dev */
nvmlDevice_t *devs;
nvmlEnableState_t *app_clocks;
nvmlReturn_t (*nvmlInit)(void);
nvmlReturn_t (*nvmlDeviceGetCount)(int *);
nvmlReturn_t (*nvmlDeviceGetHandleByIndex)(int, nvmlDevice_t *);
nvmlReturn_t (*nvmlDeviceGetAPIRestriction)(nvmlDevice_t, nvmlRestrictedAPI_t, nvmlEnableState_t *);
nvmlReturn_t (*nvmlDeviceSetAPIRestriction)(nvmlDevice_t, nvmlRestrictedAPI_t, nvmlEnableState_t);
nvmlReturn_t (*nvmlDeviceGetDefaultApplicationsClock)(nvmlDevice_t, nvmlClockType_t, unsigned int *);
nvmlReturn_t (*nvmlDeviceGetApplicationsClock)(nvmlDevice_t, nvmlClockType_t, unsigned int *);
nvmlReturn_t (*nvmlDeviceSetApplicationsClocks)(nvmlDevice_t, unsigned int, unsigned int);
nvmlReturn_t (*nvmlDeviceGetClockInfo)(nvmlDevice_t, nvmlClockType_t, unsigned int *);
nvmlReturn_t (*nvmlDeviceGetPciInfo)(nvmlDevice_t, nvmlPciInfo_t *);
nvmlReturn_t (*nvmlDeviceGetName)(nvmlDevice_t, char *, int);
nvmlReturn_t (*nvmlDeviceGetTemperature)(nvmlDevice_t, int, unsigned int *);
nvmlReturn_t (*nvmlDeviceGetFanSpeed)(nvmlDevice_t, unsigned int *);
nvmlReturn_t (*nvmlDeviceGetPerformanceState)(nvmlDevice_t, int *); /* enum */
nvmlReturn_t (*nvmlDeviceGetPowerUsage)(nvmlDevice_t, unsigned int *);
nvmlReturn_t (*nvmlDeviceGetSerial)(nvmlDevice_t, char *serial, unsigned int len);
nvmlReturn_t (*nvmlDeviceGetUUID)(nvmlDevice_t, char *uuid, unsigned int len);
nvmlReturn_t (*nvmlDeviceGetVbiosVersion)(nvmlDevice_t, char *version, unsigned int len);
nvmlReturn_t (*nvmlSystemGetDriverVersion)(char *version, unsigned int len);
char* (*nvmlErrorString)(nvmlReturn_t);
nvmlReturn_t (*nvmlShutdown)(void);
} nvml_handle;
nvml_handle * nvml_create();
int nvml_destroy(nvml_handle *nvmlh);
/*
* Query the number of GPUs seen by NVML
*/
int nvml_get_gpucount(nvml_handle *nvmlh, int *gpucount);
/*
* Query the number of GPUs seen by CUDA
*/
int cuda_get_gpucount(nvml_handle *nvmlh, int *gpucount);
/*
* query the name of the GPU model from the CUDA device ID
*
*/
int nvml_get_gpu_name(nvml_handle *nvmlh,
int gpuindex,
char *namebuf,
int bufsize);
/*
* Query the current GPU temperature (Celsius), from the CUDA device ID
*/
int nvml_get_tempC(nvml_handle *nvmlh,
int gpuindex, unsigned int *tempC);
/*
* Query the current GPU fan speed (percent) from the CUDA device ID
*/
int nvml_get_fanpcnt(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 nvml_get_power_usage(nvml_handle *nvmlh,
int gpuindex,
unsigned int *milliwatts);
/* api functions */
unsigned int gpu_fanpercent(struct cgpu_info *gpu);
unsigned int gpu_fanrpm(struct cgpu_info *gpu);
float gpu_temp(struct cgpu_info *gpu);
unsigned int gpu_power(struct cgpu_info *gpu);
unsigned int gpu_usage(struct cgpu_info *gpu);
int gpu_pstate(struct cgpu_info *gpu);
int gpu_busid(struct cgpu_info *gpu);
/* pid/vid, sn and bios rev */
int gpu_info(struct cgpu_info *gpu);
/* nvapi functions */
#ifdef WIN32
int nvapi_init();
#endif
#endif /* USE_WRAPNVML */