How to use:
./wordle.sh
Or try the unlimit mode:
| #!/bin/bash | |
| # install CUDA Toolkit v8.0 | |
| # instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network)) | |
| CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb" | |
| wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG} | |
| sudo dpkg -i ${CUDA_REPO_PKG} | |
| sudo apt-get update | |
| sudo apt-get -y install cuda |
| # | |
| # mnist_cnn_bn.py date. 5/21/2016 | |
| # date. 6/2/2017 check TF 1.1 compatibility | |
| # | |
| from __future__ import absolute_import | |
| from __future__ import division | |
| from __future__ import print_function | |
| import os |
| n02119789 1 kit_fox | |
| n02100735 2 English_setter | |
| n02110185 3 Siberian_husky | |
| n02096294 4 Australian_terrier | |
| n02102040 5 English_springer | |
| n02066245 6 grey_whale | |
| n02509815 7 lesser_panda | |
| n02124075 8 Egyptian_cat | |
| n02417914 9 ibex | |
| n02123394 10 Persian_cat |
| {0: 'tench, Tinca tinca', | |
| 1: 'goldfish, Carassius auratus', | |
| 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias', | |
| 3: 'tiger shark, Galeocerdo cuvieri', | |
| 4: 'hammerhead, hammerhead shark', | |
| 5: 'electric ray, crampfish, numbfish, torpedo', | |
| 6: 'stingray', | |
| 7: 'cock', | |
| 8: 'hen', | |
| 9: 'ostrich, Struthio camelus', |
| /*! | |
| * Bootstrap v2.2.1 | |
| * | |
| * Copyright 2012 Twitter, Inc | |
| * Licensed under the Apache License v2.0 | |
| * http://www.apache.org/licenses/LICENSE-2.0 | |
| * | |
| * Designed and built with all the love in the world @twitter by @mdo and @fat. | |
| */ |
L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns
Compress 1K bytes with Zippy ............. 3,000 ns = 3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns = 20 µs
SSD random read ........................ 150,000 ns = 150 µs
Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs
| import nltk | |
| text = """The Buddha, the Godhead, resides quite as comfortably in the circuits of a digital | |
| computer or the gears of a cycle transmission as he does at the top of a mountain | |
| or in the petals of a flower. To think otherwise is to demean the Buddha...which is | |
| to demean oneself.""" | |
| # Used when tokenizing words | |
| sentence_re = r'''(?x) # set flag to allow verbose regexps | |
| ([A-Z])(\.[A-Z])+\.? # abbreviations, e.g. U.S.A. |