The script in this gist will help you buid the Google Protobuf library for use with Mac OS X and iOS. Other methods (such as homebrew or direct compilation) have issues that prevent their use. The libraries built by this script are universal and support all iOS device architectures including the simluator.
The easiest way to use this script is to simply clone the gist onto your
| """ | |
| A deep neural network with or w/o dropout in one file. | |
| License: Do What The Fuck You Want to Public License http://www.wtfpl.net/ | |
| """ | |
| import numpy, theano, sys, math | |
| from theano import tensor as T | |
| from theano import shared | |
| from theano.tensor.shared_randomstreams import RandomStreams |
| from graphviz import Digraph | |
| import torch | |
| from torch.autograd import Variable, Function | |
| def iter_graph(root, callback): | |
| queue = [root] | |
| seen = set() | |
| while queue: | |
| fn = queue.pop() | |
| if fn in seen: |
