f41gh7

from prometheus_client import Counter, start_http_server
from threading import Thread
import requests as re
import time

JOB_NAME = 'test'
INSTANCE = 'localhost'


def scrape_and_send(local_url: str, vm_url: str, scrape_interval: int):

valgur

#!/bin/bash
set -e -u -o pipefail -o noglob
set -x

CUDA_VERSION=${CUDA_VERSION:-10.2}
CUDNN_VERSION=${CUDNN_VERSION:-7}
TENSORRT_VERSION=${TENSORRT_VERSION:-7}

UBUNTU_RELEASE=$(lsb_release -rs) # 18.04
DISTRO=ubuntu${UBUNTU_RELEASE//\./} # ubuntu1804

mjdietzx

# http://www.nvidia.com/download/driverResults.aspx/117079/en-us
wget http://us.download.nvidia.com/tesla/375.51/nvidia-driver-local-repo-ubuntu1604_375.51-1_amd64.deb
sudo dpkg -i nvidia-driver-local-repo-ubuntu1604_375.51-1_amd64.deb
sudo apt-get update
sudo apt-get -y install cuda-drivers

echo "Reboot required."

dirko

# Keras==1.0.6
from keras.models import Sequential
import numpy as np
from keras.layers.recurrent import LSTM
from keras.layers.core import TimeDistributedDense, Activation
from keras.preprocessing.sequence import pad_sequences
from keras.layers.embeddings import Embedding
from sklearn.cross_validation import train_test_split
from keras.layers import Merge
from keras.backend import tf

jlln

def splitDataFrameList(df,target_column,separator):
    ''' df = dataframe to split,
    target_column = the column containing the values to split
    separator = the symbol used to perform the split

    returns: a dataframe with each entry for the target column separated, with each element moved into a new row. 
    The values in the other columns are duplicated across the newly divided rows.
    '''
    def splitListToRows(row,row_accumulator,target_column,separator):
        split_row = row[target_column].split(separator)

netj

#!/usr/bin/env bash
# memusg -- Measure memory usage of processes
# Usage: memusg COMMAND [ARGS]...
#
# Author: Jaeho Shin <netj@sparcs.org>
# Created: 2010-08-16
############################################################################
# Copyright 2010 Jaeho Shin.                                               #
#                                                                          #
# Licensed under the Apache License, Version 2.0 (the "License");          #