chiffa

## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
# USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1

# To customize your choice of compiler, uncomment and set the following.

chiffa

import random
from bulbs.neo4jserver import Graph

g = Graph()

random_node_names = ['%030x' % random.randrange(16**30) for _ in range(0, 10000)]
for i, node in enumerate(random_node_names):
    print 'inserting: %.2f %%' % (i/100.)
    g.vertices.create(name=node)

chiffa

# create and set-up home directory
cd /home
mkdir ank
cd ank

# install python build dependencies and system python:
apt-get update
apt-get install python
apt-get install build-essential
apt-get install libsuitesparse-dev

chiffa

\tolerance =10000
\documentclass[11pt]{article}
\usepackage{epsfig}
\renewcommand{\baselinestretch}{1.5}
\makeatletter
\@addtoreset{equation}{section}
\renewcommand{\theequation}{\thesection.\arabic{equation}}
\makeatother
\oddsidemargin=0in
\evensidemargin=0in

chiffa

Latency Comparison Numbers
--------------------------
4GHz Processor cycle                         0.25 ns                     250  ms
L1 cache reference                           0.5  ns                     500  ms
Branch mispredict                            5    ns                       5  s
L2 cache reference                           7    ns                       7  s           14x L1 cache
Mutex lock/unlock                           25    ns                      25  s
Main memory reference                      100    ns                       1  m   40 s    20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000    ns        3 us          50  m   00 s
Send 1K bytes over 1 Gbps network       10,000    ns       10 us           2  h   46 m

chiffa

# Github push a commit to remote as it's master (or any remote branch head):
git push <remotename> <commit SHA>:<remotebranchname>

chiffa

from skimage import io
from skimage.filters import rank
from skimage.morphology import disk
from time import time
import numpy as np
import pickle

# base_image = pickle.load(open('debug_dump.dmp', 'r'))
# np.save('debug_image.npy', base_image)
base_image = np.load('debug_image.npy')

chiffa

### Keybase proof

I hereby claim:

  * I am chiffa on github.
  * I am chiffa (https://keybase.io/chiffa) on keybase.
  * I have a public key ASA5yTyfDE9nGVTg5gJH5DP0UcZ7XUhRxhKgOVf4ITYDPgo

To claim this, I am signing this object: