Ethan ethan-funny

## folder_splitter.py
# -*- coding: utf-8 -*-
# @author: Peter Lamut

import argparse
import os
import shutil

N = 10  # the number of files in seach subfolder folder

## bnlstm.py
"""adapted from https://github.com/OlavHN/bnlstm to store separate population statistics per state"""
import tensorflow as tf, numpy as np
RNNCell = tf.nn.rnn_cell.RNNCell

class BNLSTMCell(RNNCell):
    '''Batch normalized LSTM as described in arxiv.org/abs/1603.09025'''
    def __init__(self, num_units, is_training_tensor, max_bn_steps, initial_scale=0.1, activation=tf.tanh, decay=0.95):
        """
        * max bn steps is the maximum number of steps for which to store separate population stats
        """

## local_distributed_benchmark.py
"""Benchmark tensorflow distributed by adding vector of ones on worker2
to variable on worker1 as fast as possible.

On 2014 macbook, TensorFlow 0.10 this shows

Local rate:       2175.28 MB per second
Distributed rate: 107.13 MB per second

"""

## fifoqueue_speed.py
import tensorflow as tf
import time
from datetime import datetime
import numpy as np

FLAGS = tf.app.flags.FLAGS
tf.app.flags.DEFINE_bool('cluster', False, '')

def log(obj):
    print datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3], obj

## matmul_benchmark.py
from __future__ import print_function

import sys
import os
import argparse
import numpy as np
import time
import tensorflow as tf

# single node cluster spec params

## sharded_ps_benchmark.py
#!/usr/bin/env python
# Benchmark transferring data, part of troubleshooting https://github.com/tensorflow/tensorflow/issues/6116
#
# Take a independent workers communicating with b parameter shards
# Each worker tries to add to variables stored on parameter server as fast as
# possible.
#
# macbook
# ps=1: 1.6 GB/s
# ps=2: 2.6 GB/s

## tf_serving.sh
sudo su

# Java
yum -y install java-1.8.0-openjdk-devel

# Build Esentials (minimal)
yum -y install gcc gcc-c++ kernel-devel make automake autoconf swig git unzip libtool binutils

# Extra Packages for Enterprise Linux (EPEL) (for pip, zeromq3)
yum -y install epel-release

## tf-benchmark.py
import datetime
import pytz
from tensorflow.contrib.session_bundle import exporter
from tensorflow.python.client import timeline
import glob
import json
import time
import math
import numpy as np
import os

## install-emacs-24.5-from-source-centos7install-emacs-24.5-from-source-centos7.sh
wget http://mirror.sdunix.com/gnu/emacs/emacs-24.5.tar.gz
tar zxvfp emacs-24.5.tar.gz
cd emacs-24.5/
./configure
sudo yum -y install libXpm-devel libjpeg-turbo-devel openjpeg-devel openjpeg2-devel turbojpeg-devel giflib-devel libtiff-devel gnutls-devel libxml2-devel GConf2-devel dbus-devel wxGTK-devel gtk3-devel
./configure
make
sudo make install

## tmux_local_install.sh
#!/bin/bash

# Script for installing tmux on systems where you don't have root access.
# tmux will be installed in $HOME/local/bin.
# It's assumed that wget and a C/C++ compiler are installed.

# exit on error
set -e

TMUX_VERSION=1.8
	# -- coding: utf-8 --
	# @author: Peter Lamut

	import argparse
	import os
	import shutil

	N = 10 # the number of files in seach subfolder folder
	"""adapted from https://github.com/OlavHN/bnlstm to store separate population statistics per state"""
	import tensorflow as tf, numpy as np
	RNNCell = tf.nn.rnn_cell.RNNCell

	class BNLSTMCell(RNNCell):
	'''Batch normalized LSTM as described in arxiv.org/abs/1603.09025'''
	def __init__(self, num_units, is_training_tensor, max_bn_steps, initial_scale=0.1, activation=tf.tanh, decay=0.95):
	"""
	* max bn steps is the maximum number of steps for which to store separate population stats
	"""
	"""Benchmark tensorflow distributed by adding vector of ones on worker2
	to variable on worker1 as fast as possible.

	On 2014 macbook, TensorFlow 0.10 this shows

	Local rate: 2175.28 MB per second
	Distributed rate: 107.13 MB per second

	"""
	import tensorflow as tf
	import time
	from datetime import datetime
	import numpy as np

	FLAGS = tf.app.flags.FLAGS
	tf.app.flags.DEFINE_bool('cluster', False, '')

	def log(obj):
	print datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S.%f')[:-3], obj
	from __future__ import print_function

	import sys
	import os
	import argparse
	import numpy as np
	import time
	import tensorflow as tf

	# single node cluster spec params
	#!/usr/bin/env python
	# Benchmark transferring data, part of troubleshooting https://github.com/tensorflow/tensorflow/issues/6116
	#
	# Take a independent workers communicating with b parameter shards
	# Each worker tries to add to variables stored on parameter server as fast as
	# possible.
	#
	# macbook
	# ps=1: 1.6 GB/s
	# ps=2: 2.6 GB/s
	sudo su

	# Java
	yum -y install java-1.8.0-openjdk-devel

	# Build Esentials (minimal)
	yum -y install gcc gcc-c++ kernel-devel make automake autoconf swig git unzip libtool binutils

	# Extra Packages for Enterprise Linux (EPEL) (for pip, zeromq3)
	yum -y install epel-release
	import datetime
	import pytz
	from tensorflow.contrib.session_bundle import exporter
	from tensorflow.python.client import timeline
	import glob
	import json
	import time
	import math
	import numpy as np
	import os
	wget http://mirror.sdunix.com/gnu/emacs/emacs-24.5.tar.gz
	tar zxvfp emacs-24.5.tar.gz
	cd emacs-24.5/
	./configure
	sudo yum -y install libXpm-devel libjpeg-turbo-devel openjpeg-devel openjpeg2-devel turbojpeg-devel giflib-devel libtiff-devel gnutls-devel libxml2-devel GConf2-devel dbus-devel wxGTK-devel gtk3-devel
	./configure
	make
	sudo make install
	#!/bin/bash

	# Script for installing tmux on systems where you don't have root access.
	# tmux will be installed in $HOME/local/bin.
	# It's assumed that wget and a C/C++ compiler are installed.

	# exit on error
	set -e

	TMUX_VERSION=1.8