The goal of this example is to show how an existing C codebase for numerical computing (here c_code.c) can be wrapped in Cython to be exposed in Python.
The meat of the example is that the data is allocated in C, but exposed in Python without a copy using the PyArray_SimpleNewFromData numpy
| #!/usr/bin/env sh | |
| ## | |
| # This is script with usefull tips taken from: | |
| # https://github.com/mathiasbynens/dotfiles/blob/master/.osx | |
| # | |
| # install it: | |
| # curl -sL https://raw.github.com/gist/2108403/hack.sh | sh | |
| # |
| # https://github.com/matplotlib/matplotlib/issues/881 | |
| # Several of the ColorBrewer maps are "qualitative", meaning | |
| # they are just a group of colors that can be used together | |
| # for categories of data. So I remapped Accent to segments | |
| # instead of continuous: | |
| # Actually, these should be used with ListedColormap, and | |
| # the number of colors should depend on the number of | |
| # categories in the data, with colors removed from the | |
| # list in a certain order? |
Say you're running a virtual machine on your work computer. Say this machine, for whatever reason, can only connect to the internet over NAT - as in, it does not get it's own IP address. Say this VM is running a webserver, and you need a device outside of your computer to connect to it.
If only there was a way to get your work computer to 'share' it's network, so that you could get at that VM… Here's how you do it!
For all instructions, I assume your work computer is a mac
| #!/usr/bin/env ruby | |
| require 'json' | |
| require 'logger' | |
| require 'net/http' | |
| require 'addressable/template' | |
| require 'mechanize' | |
| require 'nokogiri' |
| import torch | |
| import torch.nn as nn | |
| import torch.nn.parallel | |
| class DCGAN_D(nn.Container): | |
| def __init__(self, isize, nz, nc, ndf, ngpu, n_extra_layers=0): | |
| super(DCGAN_D, self).__init__() | |
| self.ngpu = ngpu | |
| assert isize % 16 == 0, "isize has to be a multiple of 16" |
