Lyken17

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

Lyken17

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

Lyken17

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

Lyken17

{- 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

Lyken17

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

Lyken17

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])

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

Lyken17

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)

Lyken17

Lyken17

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 = []