Efficiency-of-Neural-Archit.../gpu_sample_draw.py

65 lines
1.6 KiB
Python
Executable File

import os
import re
import pickle
import numpy as np
from warnings import warn
def get_sample_of_gpu():
from re import sub, findall
import subprocess
from subprocess import run
no_graph = "NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running."
no_version = "Failed to initialize NVML: Driver/library version mismatch"
smi_string = run(['nvidia-smi'], stdout=subprocess.PIPE)
smi_string = smi_string.stdout.decode('utf-8')
smi_string = smi_string.split("\n")
smi_string = list(filter(lambda x: x, smi_string))
if smi_string[0] == no_graph:
raise Exception("It seems that no NVIDIA GPU is installed")
elif smi_string[0] == no_version:
raise Exception("nvidia-smi version mismatch")
else:
return findall("[0-9]*MiB | [0-9]*W",smi_string[6])
#for l in smi_string:
#temp = findall("[0-9]*MiB | [0-9]*W",l)
#if temp:
#return temp
def total_watt_consumed():
with open(pickle_name, 'rb') as f:
x = pickle.load(f)
x = np.array(x)
x = x[:,0]
y = [int(re.findall("\d+",xi)[0]) for xi in x]
return sum(y)
if __name__ == '__main__':
dataDump = []
#var = True
#pickling_on = open("wattdata.pickle","wb")
while True:
try:
dataDump.append(get_sample_of_gpu())
with open(pickle_name, 'wb') as f:
pickle.dump(dataDump, f)
except EOFError:
warn('Pickle ran out of space')
size += 0.01
finally:
f.close()
#if retcode == 0:
#break
#pickle.dump(dataDump, pickling_on)
#pickling_on.close()