-
-
Save kastnerkyle/7b9a6f6340cc6382db1e6d309c0e7002 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
#!/usr/bin/env python | |
# gpu_stat.py [DELAY [COUNT]] | |
# dump gpu stats as a line of json | |
# {"time": 1474168378.146957, "pci_tx": 146000, "pci_rx": 1508000, | |
# "gpu_util": 42, "mem_util": 24, "mem_used": 11710, | |
# "temp": 76, "fan_speed": 44 } | |
from collections import OrderedDict | |
import json | |
import subprocess | |
import sys | |
import time | |
import xml.etree.ElementTree | |
try: | |
delay = float(sys.argv[1]) | |
except: | |
delay = 1 | |
try: | |
count = float(sys.argv[2]) | |
except: | |
count = None | |
def extract(elem, tag, drop_s): | |
text = elem.find(tag).text | |
if drop_s not in text: raise Exception(text) | |
return int(text.replace(drop_s, "")) | |
i = 0 | |
while True: | |
d = OrderedDict() | |
d["time"] = time.time() | |
cmd = ['nvidia-smi', '-q', '-x'] | |
cmd_out = subprocess.check_output(cmd) | |
gpu = xml.etree.ElementTree.fromstring(cmd_out).find("gpu") | |
pci = gpu.find("pci") | |
d["pci_tx"] = extract(pci, "tx_util", "KB/s") | |
d["pci_rx"] = extract(pci, "rx_util", "KB/s") | |
util = gpu.find("utilization") | |
d["gpu_util"] = extract(util, "gpu_util", "%") | |
d["mem_util"] = extract(util, "memory_util", "%") | |
d["mem_used"] = extract(gpu.find("fb_memory_usage"), "used", "MiB") | |
d["temp"] = extract(gpu.find("temperature"), "gpu_temp", "C") | |
d["fan_speed"] = extract(gpu, "fan_speed", "%") | |
print json.dumps(d) | |
sys.stdout.flush() | |
if count != None: | |
i += 1 | |
if i == count: | |
exit(0) | |
time.sleep(delay) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment