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Upgrade OpenSSL to latest in CentOS 7

Prepare

yum group install 'Development Tools' && yum install perl-core libtemplate-perl zlib-devel 

Download and extract

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# source: http://forums.fast.ai/t/training-metrics-as-notifications-on-mobile-using-callbacks/17330
def send_notification(msg_string):
    '''
        This function sends message to my mobile using Pushover.
    '''
    import requests
    from datetime import datetime

    url = "https://api.pushover.net/1/messages.json"
    data = {

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# source: https://github.com/GoogleCloudPlatform/cloudml-samples/blob/master/census/keras/trainer/model.py
from keras import backend as K
import tensorflow as tf
from tensorflow.python.saved_model import builder as saved_model_builder
from tensorflow.python.saved_model import tag_constants, signature_constants
from tensorflow.python.saved_model.signature_def_utils_impl import predict_signature_def


def to_savedmodel(model, export_path):
  """Convert the Keras HDF5 model into TensorFlow SavedModel."""

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import collections

def flatten(d, parent_key='', sep='_'):
    items = []
    for k, v in d.items():
        new_key = parent_key + sep + k if parent_key else k
        if isinstance(v, collections.MutableMapping):
            items.extend(flatten(v, new_key, sep=sep).items())
        else:
            items.append((new_key, v))

hongta

Tensorflow 1.7 with CUDA on macOS Sierra 10.12.6, Anaconda, and Python 3.6

Largely based on the Tensorflow 1.6 gist, this should hopefully simplify things a bit. Mixing homebrew python2/python3 with pip ends up being a mess, so here's an approach to uses the built-in python27.

Requirements

• NVIDIA Web-Drivers 378.05.05 for 10.12.6
• CUDA 9.0 Toolkit
• cuDNN 7.0.5 (latest release for mac os)
• Python 3.6

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####################################
# BASIC REQUIREMENTS
# http://graphite.wikidot.com/installation
# http://geek.michaelgrace.org/2011/09/how-to-install-graphite-on-ubuntu/
# Last tested & updated 10/13/2011
####################################

cd
sudo apt-get update
sudo apt-get upgrade

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#! /bin/sh
### BEGIN INIT INFO
# Provides:          supervisord
# Required-Start:    $remote_fs
# Required-Stop:     $remote_fs
# Default-Start:     2 3 4 5
# Default-Stop:      0 1 6
# Short-Description: Example initscript
# Description:       This file should be used to construct scripts to be
#                    placed in /etc/init.d.