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I want to use nvidia-smi to monitor my GPU for my machine-learning/ AI projects. However, when I run nvidia-smi in my cmd, git bash or powershell, I get the following results:
$ nvidia-smi
Sun May 28 13:25:46 2017
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 376.53 Driver Version: 376.53 |
|-------------------------------+----------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 1070 WDDM | 0000:28:00.0 On | N/A |
| 0% 49C P2 36W / 166W | 7240MiB / 8192MiB | 4% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 7676 C+G ...ost_cw5n1h2txyewy\ShellExperienceHost.exe N/A |
| 0 8580 C+G Insufficient Permissions N/A |
| 0 9704 C+G ...x86)\Google\Chrome\Application\chrome.exe N/A |
| 0 10532 C ...\Anaconda3\envs\tensorflow-gpu\python.exe N/A |
| 0 11384 C+G Insufficient Permissions N/A |
| 0 12896 C+G C:\Windows\explorer.exe N/A |
| 0 13868 C+G Insufficient Permissions N/A |
| 0 14068 C+G Insufficient Permissions N/A |
| 0 14568 C+G Insufficient Permissions N/A |
| 0 15260 C+G ...osoftEdge_8wekyb3d8bbwe\MicrosoftEdge.exe N/A |
| 0 16912 C+G ...am Files (x86)\Dropbox\Client\Dropbox.exe N/A |
| 0 18196 C+G ...I\AppData\Local\hyper\app-1.3.3\Hyper.exe N/A |
| 0 18228 C+G ...oftEdge_8wekyb3d8bbwe\MicrosoftEdgeCP.exe N/A |
| 0 20032 C+G ...indows.Cortana_cw5n1h2txyewy\SearchUI.exe N/A |
+-----------------------------------------------------------------------------+
The column GPU Memory Usage shows N/A for every single process. Also, there are a lot more processes listed than I found for most examples on the Internet. What could be the reason for this?
I am running a Nvidia GTX 1070 by ASUS, my OS is Windows 10 Pro.
648
To monitor the overall GPU resource usage, click the Performance tab, scroll down the left pane, and find the “GPU” option. Here you can watch real-time usage. It displays different graphs for what is happening with your system — like encoding videos or gameplay.
The NVIDIA System Management Interface (nvidia-smi) is a command line utility, based on top of the NVIDIA Management Library (NVML), intended to aid in the management and monitoring of NVIDIA GPU devices.
DESCRIPTION nvidia-smi (also NVSMI) provides monitoring and management capabilities for each of NVIDIA's Tesla, Quadro, GRID and GeForce devices from Fermi and higher architecture families.
If you perform the following : nvidia-smi -q you will see the following:
Processes
Process ID : 6564
Type : C+G
Name : C:\Windows\explorer.exe
Used GPU Memory : Not available in WDDM driver model
Not available in WDDM driver model => WDDM stand for Windows Display Driver Model. You can switch to TCC and obtain the information with the command: nvidia-smi -dm 1, however this operation can only performed if you do not have any display attached to the GPU. So... It's mostly impossible...
By the way, don't worry about a high memory usage, Tensorflow reserve as much GPU memory as it can to speed up its processes. If you prefer a finer grained control on the memory taken use the following (it may slow down a little bit your computations):
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
sess = tf.Session(config=config)
You can create a dual boot on Ubuntu or just forget about this.
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