1. nvidia-smi
nvidia-smi 使用注意点：
1. nvidia-smi 默认是只统计 sm 的加权平均使用量，也就是GPU-Util的统计，
nvidia-smi采集粒度偏大
2. ffmpeg 在使用编解码的时候，也会少量的使用到sm资源， 单sm使用率100%后会影响编解码的性能，
如果sm使用率不高的情况，对硬转码没有影响； codec和sm共用时钟源和电源
- 指定板卡id，查看gpu状态，nvidia-smi -i 0
root@n19-045-100:~
Fri Oct 22 16:01:31 2021
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 418.116.00 Driver Version: 418.116.00 CUDA Version: 10.1 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla P4 On | 00000000:1A:00.0 Off | 0 |
| N/A 56C P0 30W / 75W | 140MiB / 7611MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 588727 C ...ffmpeg_build/gpu/static/bin/ffmpeg 130MiB |
+-----------------------------------------------------------------------------+
- 查看gpu 的详细状态信息
nvidia-smi -q
nvidia-smi -i 0 -q
root@n19-045-200:~
==============NVSMI LOG==============
Timestamp : Fri Oct 22 16:48:35 2021
Driver Version : 418.116.00
CUDA Version : 10.1
Attached GPUs : 7
GPU 00000000:1A:00.0
Product Name : Tesla P4
Product Brand : Tesla
Display Mode : Enabled
Display Active : Disabled
Persistence Mode : Enabled
Accounting Mode : Disabled
Accounting Mode Buffer Size : 4000
Driver Model
Current : N/A
Pending : N/A
Serial Number : 0325017003772
GPU UUID : GPU-b1fc4bf1-cc9b-2add-586c-b39397c1eaad
Minor Number : 0
VBIOS Version : 86.04.55.00.01
MultiGPU Board : No
Board ID : 0x1a00
GPU Part Number : 900-2G414-0000-000
Inforom Version
Image Version : G414.0200.00.03
OEM Object : 1.1
ECC Object : 4.1
Power Management Object : N/A
GPU Operation Mode
Current : N/A
Pending : N/A
GPU Virtualization Mode
Virtualization mode : None
IBMNPU
Relaxed Ordering Mode : N/A
PCI
Bus : 0x1A
Device : 0x00
Domain : 0x0000
Device Id : 0x1BB310DE
Bus Id : 00000000:1A:00.0
Sub System Id : 0x11D810DE
GPU Link Info
PCIe Generation
Max : 3
Current : 3
Link Width
Max : 16x
Current : 16x
Bridge Chip
Type : N/A
Firmware : N/A
Replays Since Reset : 0
Replay Number Rollovers : 0
Tx Throughput : 0 KB/s
Rx Throughput : 0 KB/s
Fan Speed : N/A
Performance State : P0
Clocks Throttle Reasons
Idle : Not Active
Applications Clocks Setting : Not Active
SW Power Cap : Not Active
HW Slowdown : Not Active
HW Thermal Slowdown : Not Active
HW Power Brake Slowdown : Not Active
Sync Boost : Not Active
SW Thermal Slowdown : Not Active
Display Clock Setting : Not Active
FB Memory Usage
Total : 7611 MiB
Used : 140 MiB
Free : 7471 MiB
BAR1 Memory Usage
Total : 256 MiB
Used : 2 MiB
Free : 254 MiB
Compute Mode : Default
Utilization
Gpu : 0 %
Memory : 0 %
Encoder : 0 %
Decoder : 0 %
Encoder Stats
Active Sessions : 0
Average FPS : 0
Average Latency : 0
FBC Stats
Active Sessions : 0
Average FPS : 0
Average Latency : 0
Ecc Mode
Current : Enabled
Pending : Enabled
ECC Errors
Volatile
Single Bit
Device Memory : 0
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
CBU : N/A
Total : 0
Double Bit
Device Memory : 0
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
CBU : N/A
Total : 0
Aggregate
Single Bit
Device Memory : 0
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
CBU : N/A
Total : 0
Double Bit
Device Memory : 0
Register File : N/A
L1 Cache : N/A
L2 Cache : N/A
Texture Memory : N/A
Texture Shared : N/A
CBU : N/A
Total : 0
Retired Pages
Single Bit ECC : 0
Double Bit ECC : 0
Pending Page Blacklist : No
Temperature
GPU Current Temp : 56 C
GPU Shutdown Temp : 94 C
GPU Slowdown Temp : 91 C
GPU Max Operating Temp : N/A
Memory Current Temp : N/A
Memory Max Operating Temp : N/A
Power Readings
Power Management : Supported
Power Draw : 30.26 W
Power Limit : 75.00 W
Default Power Limit : 75.00 W
Enforced Power Limit : 75.00 W
Min Power Limit : 60.00 W
Max Power Limit : 75.00 W
Clocks
Graphics : 1531 MHz
SM : 1531 MHz
Memory : 2999 MHz
Video : 1366 MHz
Applications Clocks
Graphics : 1531 MHz
Memory : 3003 MHz
Default Applications Clocks
Graphics : 885 MHz
Memory : 3003 MHz
Max Clocks
Graphics : 1531 MHz
SM : 1531 MHz
Memory : 3003 MHz
Video : 1379 MHz
Max Customer Boost Clocks
Graphics : 1113 MHz
Clock Policy
Auto Boost : N/A
Auto Boost Default : N/A
Processes
Process ID : 588727
Type : C
Name : /opt/ffmpeg_build/gpu/static/bin/ffmpeg
Used GPU Memory : 130 MiB
- 查看gpu 的编码器状态
nvidia-smi -q | grep -i enc
nvidia-smi -i 0 -q | grep -i enc
root@n19-045-200:~
Persistence Mode : Enabled
Encoder : 0 %
Encoder Stats
Average Latency : 0
Average Latency : 0
2. nvml监控模块
- 通过CUDA的Nvml库获取GPU的使用率
- python实现 https://pypi.org/project/pynvml/
>>> from pynvml import *
>>> nvmlInit()
>>> print("Driver Version:", nvmlSystemGetDriverVersion())
Driver Version: b'418.116.00'
>>> deviceCount = nvmlDeviceGetCount()
>>> for i in range(deviceCount):
... handle = nvmlDeviceGetHandleByIndex(i)
... print("Device", i, ":", nvmlDeviceGetName(handle))
...
Device 0 : b'Tesla P4'
Device 1 : b'Tesla P4'
Device 2 : b'Tesla P4'
Device 3 : b'Tesla P4'
Device 4 : b'Tesla P4'
Device 5 : b'Tesla P4'
Device 6 : b'Tesla P4'
>>> from pynvml.smi import nvidia_smi
>>> nvsmi = nvidia_smi.getInstance()
>>> nvsmi.DeviceQuery('memory.free, memory.total')
{'gpu': [{'fb_memory_usage': {'total': 7611.9375, 'free': 7471.8125, 'unit': 'MiB'}}, {'fb_memory_usage': {'total': 7611.9375, 'free': 7601.9375, 'unit': 'MiB'}}, {'fb_memory_usage': {'total': 7611.9375, 'free': 7601.9375, 'unit': 'MiB'}}, {'fb_memory_usage': {'total': 7611.9375, 'free': 7601.9375, 'unit': 'MiB'}}, {'fb_memory_usage': {'total': 7611.9375, 'free': 7601.9375, 'unit': 'MiB'}}, {'fb_memory_usage': {'total': 7611.9375, 'free': 7601.9375, 'unit': 'MiB'}}, {'fb_memory_usage': {'total': 7611.9375, 'free': 7601.9375, 'unit': 'MiB'}}]}
3. DCMG监控
感兴趣可以了解一下：
https://docs.nvidia.com/datacenter/dcgm/latest/dcgm-user-guide/getting-started.html
|