{"id":1095,"date":"2018-09-15T16:38:57","date_gmt":"2018-09-15T07:38:57","guid":{"rendered":"https:\/\/lab4ict.com\/system\/?p=1095"},"modified":"2023-08-27T13:20:44","modified_gmt":"2023-08-27T04:20:44","slug":"ubuntu-16-04-lts-desktop%e3%81%abcuda%e3%81%ab%e3%82%88%e3%82%8b%e3%83%87%e3%82%a3%e3%83%bc%e3%83%97%e3%83%a9%e3%83%bc%e3%83%8b%e3%83%b3%e3%82%b0%e7%92%b0%e5%a2%83%e3%82%92%e6%a7%8b%e7%af%89%ef%bc%88t","status":"publish","type":"post","link":"https:\/\/lab4ict.com\/system\/archives\/1095","title":{"rendered":"Ubuntu Desktop 16.04\u306bCUDA\u306b\u3088\u308b\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u74b0\u5883\u3092\u69cb\u7bc9\u3059\u308b\uff01\uff08TensorFlow\uff09"},"content":{"rendered":"<p>Ubuntu 16.04 LTS Desktop\u306b\u3001CUDA\u306b\u3088\u308bTensorFlow\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u74b0\u5883\u3092\u69cb\u7bc9\u3057\u307e\u3059\u3002\u672c\u6821\u57f7\u7b46\u6642\u3067\u306f\u3001\u6700\u65b0\u306eCUDA 9.2\u3092\u4f7f\u7528\u3059\u308b\u305f\u3081\u306b\u306fTensorFlow\u306e\u30b3\u30f3\u30d1\u30a4\u30eb\u304c\u5fc5\u8981\u306a\u305f\u3081\u3001\u74b0\u5883\u69cb\u7bc9\u304c\u5bb9\u6613\u306aCUDA 9.0\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002\u3082\u3046\u4e00\u3064\u91cd\u8981\u306a\u30dd\u30a4\u30f3\u30c8\u304c\u3001AVX\u6a5f\u80fd\u3092\u6301\u3064CPU\uff08Sandy bridge\u4ee5\u964d\u306eCore i\u30b7\u30ea\u30fc\u30ba\uff09\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3059\u3002AVX\u6a5f\u80fd\u304c\u306a\u3044CPU\uff08\u7279\u306bCeleron\u3001Pentium\uff09\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\u306f\u3001TensorFlow\u3092\u30bd\u30fc\u30b9\u304b\u3089\u30b3\u30f3\u30d1\u30a4\u30eb\u3059\u308b\u304b\u3001\u30d0\u30fc\u30b8\u30e7\u30f31.5\u4ee5\u524d\u3092\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u65e7\u578b\u306eCPU\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\u306f\u3001AVX\u6a5f\u80fd\u304c\u3042\u308bCPU\u3067\u3042\u308b\u304b\u3088\u304f\u78ba\u8a8d\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<br \/>\n<!--more--><\/p>\n<h2>\u4f7f\u7528\u3057\u305f\u74b0\u5883<\/h2>\n<ul>\n<li>Core i5-7500<\/li>\n<li>GeForce GTX 1050 Ti<\/li>\n<li>Ubuntu 16.04 LTS Desktop (16.04.5)<\/li>\n<li>CUDA Toolkit 9.0<\/li>\n<li>cuDNN 7.2<\/li>\n<li>Anaconda 5.2 (Python 3.6)<\/li>\n<li>TensorFlow (GPU)<\/li>\n<\/ul>\n<h2>CUDA Toolkit 9.0\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h2>\n<p>CUDA Toolkit 9.0\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n<h3>CUDA Toolkit 9.0\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<\/h3>\n<p>CUDA 9.0\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u7528\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u3001Nvidia\u306e\u30db\u30fc\u30e0\u30da\u30fc\u30b8\u300c<a href=\"https:\/\/developer.nvidia.com\/cuda-90-download-archive\" target=\"_blank\" rel=\"noopener\">CUDA Toolkit 9.0 Download<\/a>\u300d\u304b\u3089\u4ee5\u4e0b\u3092\u9078\u629e\u3057\u3066\u3001\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002<\/p>\n<ul>\n<li>Operating System : Linux<\/li>\n<li>Architecture : x86_64<\/li>\n<li>Distribution : Ubuntu<\/li>\n<li>Version : 16.04<\/li>\n<li>Installer Type : dev [network]<\/li>\n<\/ul>\n<h3>CUDA Toolkit 9.0\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306e\u5b9f\u884c<\/h3>\n<p>\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066\u3001CUDA Toolkit 9.0\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002\u30c7\u30d0\u30a4\u30b9\u30c9\u30e9\u30a4\u30d0\u30fc\u3082\u540c\u6642\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3055\u308c\u307e\u3059\u3002<\/p>\n<pre class=\"brush: plain; title: ; notranslate\" title=\"\">\r\n$ cd $HOME\/Downloads\r\n$ sudo dpkg -i cuda-repo-ubuntu1604_9.0.176-1_amd64.deb\r\n$ sudo apt-key adv --fetch-keys http:\/\/developer.download.nvidia.com\/compute\/cuda\/repos\/ubuntu1604\/x86_64\/7fa2af80.pub\r\n$ sudo apt-get update\r\n$ sudo apt-get install cuda-9-0\r\n<\/pre>\n<p>\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u304c\u7d42\u4e86\u3057\u305f\u3089\u3001\u30c9\u30e9\u30a4\u30d0\u30fc\u3092\u6709\u52b9\u306b\u3059\u308b\u305f\u3081\u3001OS\u3092\u518d\u8d77\u52d5\u3057\u307e\u3059\u3002<\/p>\n<h3>CUDA Toolkit 9.0\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306e\u691c\u8a3c<\/h3>\n<p>CUDA Toolkit 9.0\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306e\u691c\u8a3c\u3092\u884c\u3044\u307e\u3059\u3002nvidia-smi\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066\u3001GPU\u306e\u60c5\u5831\u304c\u8868\u793a\u3055\u308c\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002\u30c9\u30e9\u30a4\u30d0\u30fc\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3082\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002<\/p>\n<pre class=\"brush: plain; highlight: [1]; title: ; notranslate\" title=\"\">\r\nnvidia-smi\r\nFri Sep 14 23:25:47 2018       \r\n+-----------------------------------------------------------------------------+\r\n| NVIDIA-SMI 396.44                 Driver Version: 396.44                    |\r\n|-------------------------------+----------------------+----------------------+\r\n| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |\r\n| Fan  Temp  Perf  Pwr:Usage\/Cap|         Memory-Usage | GPU-Util  Compute M. |\r\n|===============================+======================+======================|\r\n|   0  GeForce GTX 105...  Off  | 00000000:01:00.0 Off |                  N\/A |\r\n| 35%   34C    P0    N\/A \/  75W |    184MiB \/  4040MiB |      0%      Default |\r\n+-------------------------------+----------------------+----------------------+\r\n                                                                               \r\n+-----------------------------------------------------------------------------+\r\n| Processes:                                                       GPU Memory |\r\n|  GPU       PID   Type   Process name                             Usage      |\r\n|=============================================================================|\r\n|    0      1202      G   \/usr\/lib\/xorg\/Xorg                            28MiB |\r\n|    0      1420      G   \/usr\/lib\/xorg\/Xorg                            57MiB |\r\n|    0      1755      G   \/usr\/bin\/gnome-shell                          66MiB |\r\n+-----------------------------------------------------------------------------+\r\n<\/pre>\n<h2>cuDNN 7.2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h2>\n<p>\u30c7\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u7528\u306e\u30e9\u30a4\u30d6\u30e9\u30eacuDNN 7.2\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n<h3>cuDNN 7.2\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<\/h3>\n<p>cuDNN 7.2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u7528\u30e2\u30b8\u30e5\u30fc\u30eb\u3092\u3001Nvidia\u306e\u30db\u30fc\u30e0\u30da\u30fc\u30b8\u300c<a href=\"https:\/\/developer.nvidia.com\/cudnn\" target=\"_blank\" rel=\"noopener\">NVIDIA cuDNN<\/a>\u300d\u304b\u3089\u300cDownload cuDNN\u300d\u30dc\u30bf\u30f3\u3092\u30af\u30ea\u30c3\u30af\u3057\u3066\u753b\u9762\u9077\u79fb\u3057\u3001\u30e6\u30fc\u30b6\u767b\u9332\u3092\u884c\u3044\u3001\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u30da\u30fc\u30b8\u306b\u30ed\u30b0\u30a4\u30f3\u3057\u307e\u3059\u3002CUDA 9.0\u7528\u306e\u30da\u30fc\u30b8\u306b\u9077\u79fb\u3057\u3066\u3001\u4ee5\u4e0b\u3092\u9078\u629e\u3057\u3066\u3001\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002<\/p>\n<ul>\n<li>cuDNN v7.2.1 Runtime Library for Ubuntu16.04 (Deb)<\/li>\n<li>cuDNN v7.2.1 Developer Library for Ubuntu16.04 (Deb)<\/li>\n<li>cuDNN v7.2.1 Code Samples and User Guide for Ubuntu16.04 (Deb)<\/li>\n<\/ul>\n<h3>cuDNN 7.2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306e\u5b9f\u884c<\/h3>\n<p>\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066\u3001cuDNN 7.2\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"brush: plain; title: ; notranslate\" title=\"\">\r\n$ cd $HOME\/Downloads\r\n$ sudo dpkg -i libcudnn7_7.2.1.38-1+cuda9.0_amd64.deb\r\n$ sudo dpkg -i libcudnn7-dev_7.2.1.38-1+cuda9.0_amd64.deb\r\n$ sudo dpkg -i libcudnn7-doc_7.2.1.38-1+cuda9.0_amd64.deb\r\n<\/pre>\n<h3>cuDNN 7.2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306e\u691c\u8a3c<\/h3>\n<p>cuDNN 7.2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306e\u691c\u8a3c\u3092\u884c\u3044\u307e\u3059\u3002\u6700\u5f8c\u306b\u3001\u300cTest passed!\u300d\u3068\u8868\u793a\u3055\u308c\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"brush: plain; title: ; notranslate\" title=\"\">\r\n$ cp -r \/usr\/src\/cudnn_samples_v7\/ $HOME\r\n$ cd  $HOME\/cudnn_samples_v7\/mnistCUDNN\r\n$ make clean &amp;&amp; make\r\n$ .\/mnistCUDNN\r\n<\/pre>\n<h2>Anaconda 5.2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h2>\n<p>python\u74b0\u5883\u3092\u69cb\u7bc9\u3059\u308b\u305f\u3081\u3001Anaconda\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n<h3>Anaconda 5.2\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<\/h3>\n<p>Anaconda\u306e\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u30da\u30fc\u30b8\u300c<a href=\"https:\/\/www.anaconda.com\/download\/#linux\" target=\"_blank\" rel=\"noopener\">Download Anaconda Distribution<\/a>\u300d\u304b\u3089\u3001python 3.6\u30d0\u30fc\u30b8\u30e7\u30f3\u306eanaconda\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002<\/p>\n<h3>Anaconda 5.2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306e\u5b9f\u884c<\/h3>\n<p>\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3067\u3001Anaconda 5.2\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002\u9014\u4e2d\u3001\u30e9\u30a4\u30bb\u30f3\u30b9\u3078\u306e\u540c\u610f\u3001PATH\u5909\u6570\u3078\u306e\u767b\u9332\u3001VSCode\u306e\u5c0e\u5165\u3092\u805e\u304b\u308c\u307e\u3059\u304c\u3001\u4ee5\u4e0b\u306e\u4f8b\u3067\u306f\u3001\u3059\u3079\u3066\"yes\"\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<pre class=\"brush: plain; highlight: [1]; title: ; notranslate\" title=\"\">\r\n$ bash ~\/Downloads\/Anaconda3-5.2.0-Linux-x86_64.sh\r\n...\r\nIn order to continue the installation process, please review the license\r\nagreement.\r\nPlease, press ENTER to continue\r\n&gt;&gt;&gt; \r\n...\r\nDo you accept the license terms? &#x5B;yes|no]\r\n&#x5B;no] &gt;&gt;&gt; yes\r\n...Do you wish the installer to prepend the Anaconda3 install location\r\nto PATH in your \/home\/sysadm001\/.bashrc ? &#x5B;yes|no]\r\n&#x5B;no] &gt;&gt;&gt; yes...\r\nDo you wish to proceed with the installation of Microsoft VSCode? &#x5B;yes|no]\r\n&gt;&gt;&gt; yes\r\n...\r\nVSCode successfully installed in \/usr\/share\/code !\r\n<\/pre>\n<h3>Anaconda 5.2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306e\u691c\u8a3c<\/h3>\n<p>anaconda\u306e\u30ca\u30d3\u30b2\u30fc\u30bf\u304c\u8d77\u52d5\u3059\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"brush: plain; title: ; notranslate\" title=\"\">\r\n$ source ~\/.bashrc\r\n$ anaconda-navigator\r\n<\/pre>\n<h2>TensorFlow\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb<\/h2>\n<p>TensorFlow\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n<h3>TensorFlow\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306e\u5b9f\u884c<\/h3>\n<p>python\u306e\u74b0\u5883\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"brush: plain; title: ; notranslate\" title=\"\">\r\n$ python -V\r\nPython 3.6.5 :: Anaconda, Inc.\r\n$ pip -V\r\npip 10.0.1 from \/home\/sysadm001\/anaconda3\/lib\/python3.6\/site-packages\/pip (python 3.6)\r\n<\/pre>\n<p>\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3067\u3001GPU\u5bfe\u5fdc\u306eTensorFlow\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3059\u3002<\/p>\n<pre class=\"brush: plain; title: ; notranslate\" title=\"\">\r\n$ pip install --upgrade --user tensorflow-gpu\r\n<\/pre>\n<h3>TensorFlow\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306e\u691c\u8a3c<\/h3>\n<p>TensorFlow\u306e\u30b5\u30f3\u30d7\u30eb\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u3001\u300cb'Hello, TensorFlow!'\u300d\u306e\u6587\u5b57\u5217\u304c\u51fa\u529b\u3055\u308c\u3001TensorFlow\u304c\u4f7f\u7528\u3067\u304d\u308b\u3053\u3068\u3092\u78ba\u8a8d\u3057\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u4f8b\u306f\u3001CPU\u304c\u300cCore i5-7500\u300d\u306e\u74b0\u5883\u3092\u4f7f\u7528\u3057\u305f\u305f\u3081\u3001AVX2 FMA\u3092\u4f7f\u7528\u3059\u308b\u3088\u3046\u306b\u30b3\u30f3\u30d1\u30a4\u30eb\u3055\u308c\u3066\u3044\u306a\u3044\u3068\u306e\u30e1\u30c3\u30bb\u30fc\u30b8\u304c\u51fa\u529b\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u305d\u306e\u4ed6\u3001GPU\u306e\u60c5\u5831\u3082\u51fa\u529b\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n<pre class=\"brush: plain; highlight: [1]; title: ; notranslate\" title=\"\">\r\n$ python\r\nPython 3.6.5 |Anaconda, Inc.| (default, Apr 29 2018, 16:14:56) \r\n&#x5B;GCC 7.2.0] on linux\r\nType &quot;help&quot;, &quot;copyright&quot;, &quot;credits&quot; or &quot;license&quot; for more information.\r\n&gt;&gt;&gt; import tensorflow as tf\r\n\/home\/sysadm001\/anaconda3\/lib\/python3.6\/site-packages\/h5py\/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\r\n  from ._conv import register_converters as _register_converters\r\n&gt;&gt;&gt; hello = tf.constant('Hello, TensorFlow!')\r\n&gt;&gt;&gt; sess = tf.Session()\r\n2018-09-15 16:46:26.839201: I tensorflow\/core\/platform\/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA\r\n2018-09-15 16:46:27.377131: I tensorflow\/stream_executor\/cuda\/cuda_gpu_executor.cc:897] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\r\n2018-09-15 16:46:27.378222: I tensorflow\/core\/common_runtime\/gpu\/gpu_device.cc:1405] Found device 0 with properties: \r\nname: GeForce GTX 1050 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.455\r\npciBusID: 0000:01:00.0\r\ntotalMemory: 3.95GiB freeMemory: 3.64GiB\r\n2018-09-15 16:46:27.378276: I tensorflow\/core\/common_runtime\/gpu\/gpu_device.cc:1484] Adding visible gpu devices: 0\r\n2018-09-15 16:46:36.710863: I tensorflow\/core\/common_runtime\/gpu\/gpu_device.cc:965] Device interconnect StreamExecutor with strength 1 edge matrix:\r\n2018-09-15 16:46:36.710945: I tensorflow\/core\/common_runtime\/gpu\/gpu_device.cc:971]      0 \r\n2018-09-15 16:46:36.710966: I tensorflow\/core\/common_runtime\/gpu\/gpu_device.cc:984] 0:   N \r\n2018-09-15 16:46:36.716621: I tensorflow\/core\/common_runtime\/gpu\/gpu_device.cc:1097] Created TensorFlow device (\/job:localhost\/replica:0\/task:0\/device:GPU:0 with 3371 MB memory) -&gt; physical GPU (device: 0, name: GeForce GTX 1050 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)\r\n&gt;&gt;&gt; print(sess.run(hello))\r\nb'Hello, TensorFlow!'\r\n&gt;&gt;&gt; \r\n<\/pre>\n<h2>GPU\u3092\u4f7f\u7528\u3057\u306a\u3044\u5834\u5408<\/h2>\n<p>GPU\u3092\u4f7f\u7528\u305b\u305a\u3001CPU\u306e\u307f\u3067\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u884c\u3046\u5834\u5408\u306f\u3001\u672c\u7a3f\u306e\u300cAnaconda 5.2\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u300d\u304b\u3089\u958b\u59cb\u3057\u3001TensorFlow\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u306f\u3001\u4ee5\u4e0b\u306eCPU\u306a\u3057\u306e\u30b3\u30de\u30f3\u30c9\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3092\u884c\u3044\u307e\u3059\u3002<\/p>\n<pre class=\"brush: plain; title: ; notranslate\" title=\"\">\r\n pip install --upgrade --user tensorflow\r\n<\/pre>\n<h2>\u304a\u308f\u308a\u306b<\/h2>\n<p>\u672c\u7a3f\u3067\u306f\u3001TensorFlow\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u307e\u3057\u305f\u3002\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u74b0\u5883\u304c\u30b5\u30dd\u30fc\u30c8\u3055\u308c\u3066\u3044\u308b\u74b0\u5883\u3067\u3042\u308c\u3070\u6bd4\u8f03\u7684\u5bb9\u6613\u306b\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u305f\u3060\u3057\u3001TensorFlow\u304c\u307e\u3060CUDA 9.2\u306b\u5bfe\u5fdc\u3057\u3066\u3044\u306a\u3044\u3053\u3068\u3084\u3001AVX\u6a5f\u80fd\u304c\u306a\u3044CPU\u3092\u4f7f\u7528\u3059\u308b\u5834\u5408\u306f\u30bd\u30fc\u30b9\u304b\u3089\u306e\u30b3\u30f3\u30d1\u30a4\u30eb\u3092\u884c\u3046\u304b\u65e7\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u307e\u3059\u3002<\/p>\n<h2>\u53c2\u8003\u60c5\u5831<\/h2>\n<ul>\n<li><a href=\"https:\/\/developer.nvidia.com\/cuda-toolkit-archive\" target=\"_blank\" rel=\"noopener\">CUDA Toolkit Archive<\/a><\/li>\n<li><a href=\"https:\/\/developer.nvidia.com\/cudnn\" target=\"_blank\" rel=\"noopener\">Nvidia cuDNN<\/a><\/li>\n<li><a href=\"https:\/\/docs.nvidia.com\/deeplearning\/sdk\/cudnn-install\/index.html\" target=\"_blank\" rel=\"noopener\">Nvidia DEEP LEARNING SDK DOCUMENTATION<\/a><\/li>\n<li><a href=\"https:\/\/www.anaconda.com\/download\/\" target=\"_blank\" rel=\"noopener\">Download Anaconda Distribution<\/a><\/li>\n<li><a href=\"https:\/\/docs.anaconda.com\/anaconda\/install\/linux\" target=\"_blank\" rel=\"noopener\">Anaconda Installing on Linux<\/a><\/li>\n<li><a href=\"https:\/\/www.tensorflow.org\/install\/\" target=\"_blank\" rel=\"noopener\">Install Tensor Flow<\/a><\/li>\n<\/ul>\n<h2>\u95a2\u9023\u8a18\u4e8b<\/h2>\n<div class=\"sc_getpost\"><a class=\"clearfix\" href=\"https:\/\/lab4ict.com\/system\/archives\/14309\" ><div class=\"sc_getpost_thumb post-box-thumbnail__wrap\"><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODdhAQABAPAAAN3d3QAAACwAAAAAAQABAAACAkQBADs=\" width=\"150\" height=\"150\" alt=\"\u3010\u8a18\u4e8b\u4e00\u89a7\u3011TensorFlow\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\uff01\" loading=\"lazy\" data-src=\"https:\/\/lab4ict.com\/system\/wp-content\/uploads\/2018\/09\/eyecatch_ai_03-150x150.png\" class=\"lazyload\"><\/div><div class=\"title\">\u3010\u8a18\u4e8b\u4e00\u89a7\u3011TensorFlow\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\uff01<\/div><div class=\"substr\">TensorFlow\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u305f\u3081\u306e\u8a18\u4e8b\u4e00\u89a7\u3092\u63b2\u8f09\u3057\u307e\u3059\uff01...<\/div><\/a><\/div>\n<h2>\u95a2\u9023\u66f8\u7c4d<\/h2>\n<p><iframe sandbox=\"allow-popups allow-scripts allow-modals allow-forms allow-same-origin\" style=\"width:120px;height:240px;\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" frameborder=\"0\" src=\"\/\/rcm-fe.amazon-adsystem.com\/e\/cm?lt1=_blank&bc1=000000&IS2=1&bg1=FFFFFF&fc1=000000&lc1=0000FF&t=infotecr-22&language=ja_JP&o=9&p=8&l=as4&m=amazon&f=ifr&ref=as_ss_li_til&asins=B07D54GVHD&linkId=69ba304f9011794b140fca788a84558f\"><\/iframe><\/p>\n<hr \/>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ubuntu 16.04 LTS Desktop\u306b\u3001CUDA\u306b\u3088\u308bTensorFlow\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u74b0\u5883\u3092\u69cb\u7bc9\u3057\u307e\u3059\u3002\u672c\u6821\u57f7\u7b46\u6642\u3067\u306f\u3001\u6700\u65b0\u306eCUDA 9.2\u3092\u4f7f\u7528\u3059\u308b\u305f\u3081\u306b\u306fTensorFlow\u306e\u30b3\u30f3\u30d1\u30a4\u30eb\u304c\u5fc5\u8981\u306a\u305f\u3081\u3001\u74b0\u5883\u69cb\u7bc9\u304c\u5bb9\u6613\u2026<\/p>\n","protected":false},"author":1,"featured_media":642,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[71],"tags":[60,58,72,57],"class_list":["post-1095","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tensorflow","tag-anaconda","tag-cuda","tag-tensorflow","tag-57"],"_links":{"self":[{"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/posts\/1095","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/comments?post=1095"}],"version-history":[{"count":6,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/posts\/1095\/revisions"}],"predecessor-version":[{"id":14312,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/posts\/1095\/revisions\/14312"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/media\/642"}],"wp:attachment":[{"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/media?parent=1095"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/categories?post=1095"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lab4ict.com\/system\/wp-json\/wp\/v2\/tags?post=1095"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}