问题
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.
回答1:
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.
来源：https://stackoverflow.com/questions/44227767/nvidia-smi-does-not-display-memory-usage