File: supportedVgpus.c

package info (click to toggle)
nvidia-cuda-toolkit 12.4.1-3
  • links: PTS, VCS
  • area: non-free
  • in suites: forky, sid
  • size: 18,505,836 kB
  • sloc: ansic: 203,477; cpp: 64,769; python: 34,699; javascript: 22,006; xml: 13,410; makefile: 3,085; sh: 2,343; perl: 352
file content (160 lines) | stat: -rw-r--r-- 6,954 bytes parent folder | download | duplicates (12)
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
 /***************************************************************************\
|*                                                                           *|
|*      Copyright 2010-2016 NVIDIA Corporation.  All rights reserved.        *|
|*                                                                           *|
|*   NOTICE TO USER:                                                         *|
|*                                                                           *|
|*   This source code is subject to NVIDIA ownership rights under U.S.       *|
|*   and international Copyright laws.  Users and possessors of this         *|
|*   source code are hereby granted a nonexclusive, royalty-free             *|
|*   license to use this code in individual and commercial software.         *|
|*                                                                           *|
|*   NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE     *|
|*   CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR         *|
|*   IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH      *|
|*   REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF         *|
|*   MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR          *|
|*   PURPOSE. IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL,            *|
|*   INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES          *|
|*   WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN      *|
|*   AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING     *|
|*   OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOURCE      *|
|*   CODE.                                                                   *|
|*                                                                           *|
|*   U.S. Government End Users. This source code is a "commercial item"      *|
|*   as that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting       *|
|*   of "commercial computer  software" and "commercial computer software    *|
|*   documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995)   *|
|*   and is provided to the U.S. Government only as a commercial end item.   *|
|*   Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through        *|
|*   227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the       *|
|*   source code with only those rights set forth herein.                    *|
|*                                                                           *|
|*   Any use of this source code in individual and commercial software must  *|
|*   include, in the user documentation and internal comments to the code,   *|
|*   the above Disclaimer and U.S. Government End Users Notice.              *|
|*                                                                           *|
|*                                                                           *|
 \***************************************************************************/

#include <stdio.h>
#include <nvml.h>
#include <stdlib.h>

int main(void)
{
    nvmlReturn_t result;
    unsigned int device_count, i;

    // First initialize NVML library
    result = nvmlInit();
    if (NVML_SUCCESS != result)
    {
        printf("Failed to initialize NVML: %s\n", nvmlErrorString(result));
        return 1;
    }

    result = nvmlDeviceGetCount(&device_count);
    if (NVML_SUCCESS != result)
    {
        printf("Failed to query device count: %s\n", nvmlErrorString(result));
        goto Error;
    }

    printf("Found %u device%s\n", device_count, device_count != 1 ? "s" : "");
    printf("Listing devices:\n");

    for (i = 0; i < device_count; i++)
    {
        nvmlDevice_t    device;
        char            name[NVML_DEVICE_NAME_BUFFER_SIZE];
        nvmlPciInfo_t   pci;

        // Query for device handle to perform operations on a device
        // You can also query device handle by other features like:
        // nvmlDeviceGetHandleBySerial
        // nvmlDeviceGetHandleByPciBusId
        result = nvmlDeviceGetHandleByIndex(i, &device);
        if (NVML_SUCCESS != result)
        {
            printf("Failed to get handle for device %u: %s\n", i, nvmlErrorString(result));
            goto Error;
        }

        result = nvmlDeviceGetName(device, name, NVML_DEVICE_NAME_BUFFER_SIZE);
        if (NVML_SUCCESS != result)
        {
            printf("Failed to get name of device %u: %s\n", i, nvmlErrorString(result));
            goto Error;
        }

        // pci.busId is very useful to know which device physically you're talking to
        // Using PCI identifier you can also match nvmlDevice handle to CUDA device.
        result = nvmlDeviceGetPciInfo(device, &pci);
        if (NVML_SUCCESS != result)
        {
            printf("Failed to get pci info for device %u: %s\n", i, nvmlErrorString(result));
            goto Error;
        }

        printf("%u. %s [%s]\n", i, name, pci.busId);

        // This is an example to get the supported vGPUs type names
        unsigned int            vgpuCount = 0;
        nvmlVgpuTypeId_t        *vgpuTypeIds = NULL;
        unsigned int            j;

        result = nvmlDeviceGetSupportedVgpus(device, &vgpuCount, NULL);
        if (NVML_ERROR_INSUFFICIENT_SIZE != result)
            goto Error;

        if (vgpuCount != 0)
        {
            vgpuTypeIds = malloc(sizeof(nvmlVgpuTypeId_t) * vgpuCount);
            if (!vgpuTypeIds)
            {
                printf("Memory allocation of %d bytes failed \n", (int)(sizeof(*vgpuTypeIds)*vgpuCount));
                goto Error;
            }

            result = nvmlDeviceGetSupportedVgpus(device, &vgpuCount, vgpuTypeIds);
            if (NVML_SUCCESS != result)
            {
                printf("Failed to get the supported vGPUs with status %d \n", (int)result);
                goto Error;
            }

            printf("  Displaying vGPU type names: \n");
            for (j = 0; j < vgpuCount; j++)
            {
                char vgpuTypeName[NVML_DEVICE_NAME_BUFFER_SIZE];
                unsigned int bufferSize = NVML_DEVICE_NAME_BUFFER_SIZE;

                if (NVML_SUCCESS == (result = nvmlVgpuTypeGetName(vgpuTypeIds[j], vgpuTypeName, &bufferSize)))
                {
                    printf("  %s\n",vgpuTypeName);
                }
                else
                {
                    printf("Failed to query the vGPU type name with status %d \n", (int)result);
                }
            }
        }
        if (vgpuTypeIds)
            free(vgpuTypeIds);
    }

    result = nvmlShutdown();
    if (NVML_SUCCESS != result)
        printf("Failed to shutdown NVML: %s\n", nvmlErrorString(result));

    printf("All done.\n");
    return 0;

Error:
    result = nvmlShutdown();
    if (NVML_SUCCESS != result)
        printf("Failed to shutdown NVML: %s\n", nvmlErrorString(result));

    return 1;
}