I would like to measure the GPU usage per process as done in Windows taskmgr.exe, but I have encountered several problems when attempting to use the pyNVML library. As a result, I have a few questions.
First, is it currently possible to measure the exact GPU usage per process in Windows using Python? I have already tried the nvidia-smi
query, but this doesn't seem to show memory used and utilization percent for each process.
Second, if it is possible to measure GPU usage in this way using Python, I would like to measure and show it in a similar fashion as done in the Windows taskmgr.exe of Windows 10.
Here is my code so far:
nvmlInit()
deviceCount = nvmlDeviceGetCount()
#print(deviceCount)
for device_id in range(deviceCount):
hd = nvmlDeviceGetHandleByIndex(device_id)
#print(handle)
cps = nvmlDeviceGetGraphicsRunningProcesses(hd)
for ps in cps :
pp = ps.pid
#print(pp)
try :
name = str(nvmlSystemGetProcessName(ps.pid))
n = name.split("\\")
#print(n[len(n)-1][:-1])
process_name = n[len(n)-1][:-1]
if process_name == 'chrome.exe':
print(process_name, pp, ps.usedGpuMemory)
except:
pass
and my result:
chrome.exe 16688 None
As you can see, this does not reveal the GPU memory usage per process, but I need the information shown in taskmgr's GPU section. (I have no need of visualization.)
My computer specs are Windows 10 pro, GTX 950, i5-6600
If this is impossible in Python at the moment, do you have any other recommendations to automatically collect GPU usage per process.
Thank you.