65 lines
1.6 KiB
Python
Executable File
65 lines
1.6 KiB
Python
Executable File
import os
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import re
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import pickle
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import numpy as np
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from warnings import warn
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c = 1.0
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pickle_name = "freq_wattdata_"+str(c)+".pkl"
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def get_sample_of_gpu():
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from re import sub, findall
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import subprocess
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from subprocess import run
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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."
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no_version = "Failed to initialize NVML: Driver/library version mismatch"
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smi_string = run(['nvidia-smi'], stdout=subprocess.PIPE)
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smi_string = smi_string.stdout.decode('utf-8')
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smi_string = smi_string.split("\n")
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if smi_string[0] == no_graph:
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raise Exception("It seems that no NVIDIA GPU is installed")
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elif smi_string[0] == no_version:
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raise Exception("nvidia-smi version mismatch")
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else:
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return findall("[0-9]*MiB | [0-9]*W",smi_string[9])
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#for l in smi_string:
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#temp = findall("[0-9]*MiB | [0-9]*W",l)
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#if temp:
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#return temp
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def total_watt_consumed():
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with open(pickle_name, 'rb') as f:
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x = pickle.load(f)
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x = np.array(x)
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x = x[:,0]
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y = [int(re.findall("\d+",xi)[0]) for xi in x]
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return sum(y)
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if __name__ == '__main__':
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dataDump = []
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#var = True
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#pickling_on = open("wattdata.pickle","wb")
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while True:
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#from run_service import retcode
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try:
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dataDump.append(get_sample_of_gpu())
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with open(pickle_name, 'wb') as f:
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pickle.dump(dataDump, f)
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except EOFError:
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warn('Pickle ran out of space')
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c += 0.01
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finally:
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f.close()
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#if retcode == 0:
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#break
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#pickle.dump(dataDump, pickling_on)
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#pickling_on.close()
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