Ligeng Zhu Lyken17

These instructions will explain how to install tensorflow on mac with cuda enabled GPU suport. I assume you know what tensorflow is and why you would want to have a deep learning framework running on your computer.

Prerequisites

Make sure to update your homebrew formulas

brew update

	import numpy as np

	def fibonacci(n):
	def fast_mod(base, exp, mod):
	base = base % mod
	res = 1
	while exp > 0:
	if exp & 1:
	res = (res * base) % mod
	base = base * base % mod

	import numpy as np

	def fibonacci(n):
	def fast_mod(base, exp, mod):
	base = base % mod
	res = 1
	while exp > 0:
	if exp & 1:
	res = (res * base) % mod
	base = base * base % mod

	Log file created at: 2016/04/25 16:53:20
	Running on machine: cs-gpu01
	Log line format: [IWEF]mmdd hh:mm:ss.uuuuuu threadid file:line] msg
	I0425 16:53:20.257540 6192 caffe.cpp:184] Using GPUs 0
	I0425 16:53:22.505061 6192 solver.cpp:48] Initializing solver from parameters:
	test_iter: 10
	test_interval: 250
	base_lr: 0.001
	display: 20
	max_iter: 120000

	{- Version 1, 'untyped' -}
	data Color = R \| B deriving Show
	data RB a = E \| T Color (RB a) a (RB a) deriving Show

	{- Insertion and membership test as by Okasaki -}
	insert :: Ord a => a -> RB a -> RB a
	insert x s =
	T B a z b
	where
	T _ a z b = ins s

	void tarjan(int i)
	{
	int j;
	DFN[i]=LOW[i]=++Dindex;
	instack[i]=true;
	Stap[++Stop]=i;
	for (edge *e=V[i];e;e=e->next)
	{
	j=e->t;
	if (!DFN[j])

	n = int(input().strip())
	arr = [int(arr_temp) for arr_temp in input().strip().split(' ')]

	mistakes = 0
	for i in range(epochs):
	for nbest in nbests:

	def get_sample():
	sample = []
	for i in range(tau):
	# s1, s2 = random.sample(nbest, 2)
	s1 = random.choice(nbest)
	s2 = random.choice(nbest)

	for i in range(0, epochs):
	mistakes = 0
	np_mistakes = 0
	np_mistakes2 = 0

	sys.stderr.write("Epoch %s...\n" % i)
	# sys.stderr.write("length of nbests is %s and first is %s\n" % (len(nbests), len(nbests[0])))
	for nbest in nbests:
	def get_sample():
	sample = []